Tag Archives: waning

Second Russia-Africa Summit Lays Bare Russia’s Waning Influence – Carnegie Endowment for International Peace

  1. Second Russia-Africa Summit Lays Bare Russia’s Waning Influence Carnegie Endowment for International Peace
  2. Putin Speech LIVE | Russian President hits out West during Russia-Africa Summit | Russia-Ukraine War WION
  3. AU Says Ceasefire Only Way to Ensure Flow of Grain After Putin Promises Deliveries to Africa Democracy Now!
  4. Second Russia-Africa summit: Moscow has an opportunity as the battle for Global South heats up Firstpost
  5. Not rejecting peace talks, but can’t cease fire while under attack from Kyiv: Russian President Vladimir Putin The Tribune India
  6. View Full Coverage on Google News

Read original article here

First Mover Asia: Bitcoin Flirts With $23.4K as Fed’s Powell Repeats Comment About Waning Inflation; Market Weighs DCG-Genesis Deal With Creditors – CoinDesk

  1. First Mover Asia: Bitcoin Flirts With $23.4K as Fed’s Powell Repeats Comment About Waning Inflation; Market Weighs DCG-Genesis Deal With Creditors CoinDesk
  2. ‘Year Of Opportunity’—Fed Chair Suddenly Sets Crypto Markets Alight After $250 Billion Bitcoin, Ethereum, BNB, XRP, Cardano, Dogecoin, Polygon And Solana Price Surge Forbes
  3. Bitcoin, Ethereum, Dogecoin Soar On Hopes Of Fed Dovishness Benzinga
  4. Bitcoin bulls stumble at $23.4K as Fed’s ‘disinflation’ sparks BTC price rally Cointelegraph
  5. Bitcoin Rollercoaster on Powell Speech, SAND and ROSE Rally Over 25% (Market Watch) CryptoPotato
  6. View Full Coverage on Google News

Read original article here

National interest in the Winter Classic seems to be waning

The Winter Classic is still a successful, money-making event that sells out to big crowds. Fenway Park was at capacity with 39,243 tickets sold for the Boston Bruins’ outdoor game against the Pittsburgh Penguins. There’s no doubt that the Winter Classic is the NHL’s most prestigious event of the regular season.

But national interest in outdoor games seems to be waning as the novelty of the spectacle has worn off.

The 2023 iteration of the game was “the most-watched NHL regular-season game of all-time on cable television.”

That all sounds great, but it’s a lot of nuanced, feel-good PR speak to try and make you ignore the context.

The 2023 Winter Classic finished eighth on cable that day, behind seven other sports-related programs, including NFL and college football games. A 1 AM airing of SportsCenter finished ahead of the Classic.

This year’s game was held on January 2 instead of the traditional New Years Day so the league could avoid going head-to-head with regular-season NFL games, which says something in itself. The Winter Classic also missed out on network coverage, getting shown on TNT and on cable for the second consecutive year.

Although the 2023 Winter Classic did 31 percent better than the 2022 iteration, it also featured two of the biggest teams in the NHL from two of its biggest markets. The 2022 Winter Classic pitted the Minnesota Wild versus the St. Louis Blues.

Ratings for the Winter Classic have been in a tailspin since the league reached a record-high 4.50 million average viewers for the Penguins-Capitals game in 2011. The first 12 Winter Classics were aired on network TV before falling to cable. The league also no longer does its promotional “Road to the Winter Classic” show running up to the game.

Year Teams Ratings (Avg. Viewers)
2008 PIT/BUF 3.75 million
2009 DET/CHI 4.40 million
2010 PHI/BOS 3.68 million
2011 WSH/PIT 4.50 million
2012 NYR/PHI 3.73 million
2014 TOR/DET 4.40 million
2015 CHI/WSH; 3.47 million
2016 MTL/BOS 2.78 million
2017 CHI/STL 2.56 million
2018 NYR/BUF 1.4 million
2019 CHI/BOS 2.97 million
2020 NSH/DAL 1.96 million
2022 STL/MIN 1.4 million
2023 PIT/BOS 1.78 million

While some of the slide could be explained by TV ratings in general going down due to increased viewership on streaming and social media, that does not seem to completely explain what’s going on with the pinnacle NHL game.

It’s unfortunate. Winter Classics were once touted as a way for the league to reach new fans. Now it doesn’t even seem to attract as many hardcore hockey fans anymore.



Read original article here

Pat Toomey says Trump’s influence on GOP is ‘waning’


Washington
CNN
 — 

Retiring Pennsylvania Sen. Pat Toomey offered a pointed closing message for his fellow Republican colleagues on Sunday, saying that former President Donald Trump’s hold on the party is “waning.”

“I have heard from many, many formerly very pro-Trump voters that they think it’s time for our party to move on,” Toomey told CNN’s Jake Tapper on “State of the Union.”

“So yes, I think that process is underway. … It’s not a flip of a switch, it doesn’t happen overnight. He still has a significant following, that’s for sure. But I do think his influence is waning,” he added.

Toomey’s comments highlight an ongoing rift within the GOP about how to respond to the party’s underwhelming performance in November’s midterm elections. Republicans narrowly won the US House, finishing well short of pre-election expectations, while Democrats expanded their US Senate majority, with Pennsylvania Lt. Gov. John Fetterman flipping Toomey’s seat.

The Republican soul-searching comes at a critical moment for Trump and the party. Senate GOP leaders are eager to move on from the Trump years and court candidates who have more moderate and mainstream appeal to the suburban voters who left the GOP over their disdain for the former president.

But these Republicans are up against a powerful and vocal Trump-aligned faction within their party – especially in the incoming House GOP majority, where a hard-right bloc now holds sway over Republican leader Kevin McCarthy in his pursuit of the speakership – as they argue for the GOP to return to bedrock conservative principles.

Toomey, a vocal Trump critic who was one of seven GOP senators who voted to convict the former president at his second impeachment trial, said in his farewell speech on the Senate floor on Thursday, “Our party can’t be about or beholden to any one man. We’re much bigger than that. Our party is much bigger than that.”

He stood by that stance Sunday when asked by Tapper about being called a RINO, or “Republican in name only,” over his Trump criticism.

“When Republicans had criticisms of [Trump] – I certainly think mine were valid – that doesn’t always sit well with folks who see him as carrying the fight to the other side. So some of that tribalism is built into public political systems anywhere,” he said.

“Again, I think, as his influence wanes, the sort of conventional understanding of what words mean kind of gets restored over time. I’m not worried about that,” Toomey said.

Read original article here

Growing proportion of COVID-19 deaths are ‘breakthrough cases’

>

Growing proportion of COVID-19 deaths are ‘breakthrough cases’ – YouTubeInfoPresseUrheberrechtKontaktCreatorWerbenEntwicklerImpressumNetzDG TransparenzberichtNetzDG-BeschwerdenNutzungsbedingungenDatenschutzRichtlinien & SicherheitWie funktioniert YouTube?Neue Funktionen testen

Read original article here

Many in N.J. have waning COVID immunity. So why can’t they get a second booster?

Around January, a disconcerting trend was emerging in the Hackensack Meridian hospital system.

Many of the patients and staff who tested positive for the coronavirus were fully vaccinated — they had received their primary shots, plus if they were eligible, the booster. The common thread? They were more than four months out from their last primary vaccine series or booster.

“We saw this a lot,” said Dr. Daniel Varga, the chief physician executive of Hackensack Meridian Health, one of the state’s largest hospital systems. “Breakthrough infections that we saw virtually never happen in the first four months after somebody either completed their primary immunization series or got their booster.

“So [for] the first four months, we had virtually zero breakthrough cases. Then in the fifth month, or the sixth month, the cases just started breaking through.”

The pattern that unfolded at Hackensack Meridian falls in line with what public health experts are finding across the country: The booster’s potency wanes after roughly four months. The drop in protection against hospitalization — from about 91% to 78% — has prompted the Food and Drug Administration to consider authorizing a second booster by the fall, according to a report in The Wall Street Journal.

U.S. health officials have said a second booster — or fourth shot overall for those who received the Moderna or Pfizer vaccines — is not yet needed and it is too soon to know when an additional shot is required for most Americans. But the Centers for Disease Control and Prevention has recommended a second booster for immunocompromised people.

“We simply don’t have enough data to know that it’s a good thing to do,” Dr. Peter Marks, who oversees the FDA’s vaccine division, told The New York Times. He added that the fall might be a logical time to offer another booster, given the tendency of COVID-19 cases to rise as the return of school and colder temperatures result in more people congregating indoors.

Dr. Anthony Fauci, the White House’s chief medical advisor, told The Times that even though the potency of a booster appears to decline after about four months, 78% is still good protection. He said what remains to be seen is how potency continues to drop as time passes.

“Because of those decreasing levels of antibodies, it’s getting more and more likely that another booster will be necessary,” said Dr. Suraj Saggar, the chief of infectious disease at Holy Name, a medical center in Teaneck. “What’s unclear is will it be targeted for certain age groups — let’s say 16 and over, or 18 and over, or 18 to 60 with certain medical conditions? Or will this be for everyone?

“The second thing that’s still unclear is whether this will be something that’s more targeted for omicron — if that indeed remains the prevailing variant — and even though it’s died down now, if it comes back in the fall and winter? And will it be the same booster, or will it be an omicron-specific booster? Or will it be a booster for any other variants that might emerge? We don’t know.”

The uncertainty looms as millions of people are approaching a critical juncture in the pandemic.

Many who received a booster shot when it became widely available in the fall have reached the four-month mark. Some who contracted COVID-19 during the omicron surge have infection-acquired immunity, but the levels vary from person to person, as does the length of time it may offer protection.

“We know that after four months, the antibody levels do drop,” Saggar said. “But does that mean anything statistically significant in terms of people getting infected, getting moderate to severe disease, critical disease or death or hospitalization? That is to be determined.

“This is all unraveling in real time. We have to look at all the data. It takes time for the data to be accumulated and analyzed in a scientific manner.”

Varga says studies will look for patterns in people who were fully vaccinated (which includes the booster) and still contracted COVID-19.

“Were there any distinguishing characteristics about that population, because obviously some [fully vaccinated] people didn’t have a breakthrough infection?” he said. “Break them down — male, female, young, old, chronic illness, no chronic illness, etc., etc., to see what their antibody level was, their T-cell response, etc. We only know one real data, and that is that for the fully vaccinated, we saw they still had breakthroughs, most of them occurred four months beyond when they got their last shot.”

The omicron variant was more infectious than previous strains, and some studies on the delta variant, which immediately preceded it, indicated that it led to more reinfections six months later — as immunity apparently waned.

  • How the COVID vaccine can save your life.

When a person contracts COVID-19 or is vaccinated, antibodies form a first line of defense against another attempt by the virus to enter the body and infect cells. If the virus does enter the body, such as omicron managed to do more sweepingly than other variants, T cells kick in, killing infected cells while B cells produce new antibodies.

“It’s very important when they work in concert,” Saggar explained. “The idea is to have a combination of B cell and T cell immunity.”

Some scientists are calling for more research into T cell immunity, which some studies abroad have indicated could last many months, and even years, under certain circumstances.

The possibility of a second authorized booster comes as New Jersey is in the midst of a campaign, which began Feb. 23 and goes through March 1, to encourage people who have gotten their primary vaccine shots to also receive a booster.

More than 2.9 million people, about half of those who are eligible, have gotten a booster.

“As we look at the breakdown of breakthrough cases, it becomes obvious that having your booster not only increases your ability to stop the virus, but it also dramatically decreases your odds of landing in the hospital or worse if you do contract the virus,” Gov. Phil Murphy said at his Feb. 16 COVID-19 briefing.

Currently, people 12 and older can get a booster. Those who received a Pfizer or Moderna shot are urged to get the booster at least five months after completing their primary series. Those who got a single-dose Johnson & Johnson shot can receive a booster at least two months later.

More than 6.7 million of the 8.46 million eligible people who live, work or study in New Jersey have received the initial course of vaccinations, and more than 7.6 million have received a first dose since vaccines were first offered on Dec. 15, 2020.

More than 18,000 breakthrough cases were recorded among the 2.88 million people who received booster shots on top of their initial vaccine course, leading to 508 hospitalizations and 95 deaths.

Health experts believe if the FDA authorizes a second booster, it could lay the groundwork for an annual COVID-19 vaccine.

“They’re going to be trying to balance the fact that we know immunity wanes, we know breakthroughs increase as immunity wanes,” Varga said. “And so when do you boost optimally, so that you’re not actually sending people through vaccination every three months? That doesn’t make a lot of sense. You want to do it with a periodicity where the cost benefit of that is optimal.”

NJ Advance Media staff writer Brent Johnson contributed to this report.

Our journalism needs your support. Please subscribe today to NJ.com.

Elizabeth Llorente may be reached at ELlorente@njadvancemedia.com. Follow her on Twitter @Liz_Llorente.



Read original article here

Waning 2-Dose and 3-Dose Effectiveness of mRNA Vaccines Against COVID-19–Associated Emergency Department and Urgent Care Encounters and Hospitalizations Among Adults During Periods of Delta and Omicron Variant Predominance — VISION Network, 10 States, August 2021–January 2022

Jill M. Ferdinands, PhD1; Suchitra Rao, MBBS2; Brian E. Dixon, PhD3,4; Patrick K. Mitchell, ScD5; Malini B. DeSilva, MD6; Stephanie A. Irving, MHS7; Ned Lewis, MPH8; Karthik Natarajan, PhD9,10; Edward Stenehjem, MD11; Shaun J. Grannis, MD3,12; Jungmi Han9; Charlene McEvoy, MD6; Toan C. Ong, PhD2; Allison L. Naleway, PhD7; Sarah E. Reese, PhD5; Peter J. Embi, MD3,12,13; Kristin Dascomb, MD11; Nicola P. Klein, MD8; Eric P. Griggs, MPH1; Deepika Konatham14; Anupam B. Kharbanda, MD15; Duck-Hye Yang, PhD5; William F. Fadel, PhD3,4; Nancy Grisel, MPP11; Kristin Goddard, MPH8; Palak Patel, MBBS1; I-Chia Liao, MPH14; Rebecca Birch, MPH5; Nimish R. Valvi, DrPH3; Sue Reynolds, PhD1; Julie Arndorfer, MPH11; Ousseny Zerbo, PhD8; Monica Dickerson1; Kempapura Murthy, MBBS14; Jeremiah Williams, MPH1; Catherine H. Bozio, PhD1; Lenee Blanton, MPH1; Jennifer R. Verani, MD1; Stephanie J. Schrag, DPhil1; Alexandra F. Dalton, PhD1; Mehiret H. Wondimu, MPH1; Ruth Link-Gelles, PhD1; Eduardo Azziz-Baumgartner, MD1; Michelle A. Barron, MD2; Manjusha Gaglani, MBBS14,16; Mark G. Thompson, PhD1; Bruce Fireman8 (View author affiliations)

View suggested citation

Summary

What is already known about this topic?

Protection against COVID-19 after 2 doses of mRNA vaccine wanes, but little is known about durability of protection after 3 doses.

What is added by this report?

Vaccine effectiveness (VE) against COVID-19–associated emergency department/urgent care (ED/UC) visits and hospitalizations was higher after the third dose than after the second dose but waned with time since vaccination. During the Omicron-predominant period, VE against COVID-19–associated ED/UC visits and hospitalizations was 87% and 91%, respectively, during the 2 months after a third dose and decreased to 66% and 78% by the fourth month after a third dose. Protection against hospitalizations exceeded that against ED/UC visits.

What are the implications for public health practice?

All eligible persons should remain up to date with recommended COVID-19 vaccinations to best protect against COVID-19–associated hospitalizations and ED/UC visits.

Altmetric:
Citations:
Views:

Views equals page views plus PDF downloads

CDC recommends that all persons aged ≥12 years receive a booster dose of COVID-19 mRNA vaccine ≥5 months after completion of a primary mRNA vaccination series and that immunocompromised persons receive a third primary dose.* Waning of vaccine protection after 2 doses of mRNA vaccine has been observed during the period of the SARS-CoV-2 B.1.617.2 (Delta) variant predominance (15), but little is known about durability of protection after 3 doses during periods of Delta or SARS-CoV-2 B.1.1.529 (Omicron) variant predominance. A test-negative case-control study design using data from eight VISION Network sites§ examined vaccine effectiveness (VE) against COVID-19 emergency department/urgent care (ED/UC) visits and hospitalizations among U.S. adults aged ≥18 years at various time points after receipt of a second or third vaccine dose during two periods: Delta variant predominance and Omicron variant predominance (i.e., periods when each variant accounted for ≥50% of sequenced isolates). Persons categorized as having received 3 doses included those who received a third dose in a primary series or a booster dose after a 2 dose primary series (including the reduced-dosage Moderna booster). The VISION Network analyzed 241,204 ED/UC encounters** and 93,408 hospitalizations across 10 states during August 26, 2021–January 22, 2022. VE after receipt of both 2 and 3 doses was lower during the Omicron-predominant than during the Delta-predominant period at all time points evaluated. During both periods, VE after receipt of a third dose was higher than that after a second dose; however, VE waned with increasing time since vaccination. During the Omicron period, VE against ED/UC visits was 87% during the first 2 months after a third dose and decreased to 66% among those vaccinated 4–5 months earlier; VE against hospitalizations was 91% during the first 2 months following a third dose and decreased to 78% ≥4 months after a third dose. For both Delta- and Omicron-predominant periods, VE was generally higher for protection against hospitalizations than against ED/UC visits. All eligible persons should remain up to date with recommended COVID-19 vaccinations to best protect against COVID-19–associated hospitalizations and ED/UC visits.

VISION Network methods have been previously published (6). Eligible medical encounters were defined as those among adults aged ≥18 years with a COVID-19–like illness diagnosis†† who had received molecular testing (primarily reverse transcription–polymerase chain reaction assay) for SARS-CoV-2, the virus that causes COVID-19, during the 14 days before through 72 hours after the medical encounter. The study period began on August 26, 2021, 14 days after the first U.S. recommendation for a third mRNA COVID-19 vaccine dose.§§ The date when the Omicron variant accounted for ≥50% of sequenced isolates was determined for each study site based on state and national surveillance data. Recipients of Ad.26.COV2.S (Janssen [Johnson & Johnson]) vaccine, 1 or >3 doses of an mRNA vaccine, and those for whom <14 days had elapsed since receipt of any dose were excluded.

VE was estimated using a test-negative design, comparing the odds of a positive SARS-CoV-2 test result between vaccinated and unvaccinated patients using logistic regression models conditioned on calendar week and geographic area and adjusting for age, local virus circulation, immunocompromised status, additional patient comorbidities, and other patient and facility characteristics.¶¶ Immunocompromised status was identified by previously published diagnosis codes.*** Vaccination status was categorized based on the number of vaccine doses received and number of days between receipt of the most recent vaccine dose and the index medical encounter date (referred to as time since vaccination).††† Patients with no record of mRNA vaccination before the index date were considered unvaccinated. Persons categorized as having received 3 doses included those who received a third dose in a primary series or a booster dose after a 2 dose primary series (including the reduced-dosage Moderna booster).

A standardized mean or proportion difference ≥0.2 indicated a nonnegligible difference in distributions of vaccination or infection status. The most remote category of time since vaccination was either ≥4 months or ≥5 months, depending on data availability (no hospitalizations were observed ≥5 months after receipt of a third dose during either period). To test for a trend in waning, time since vaccination categories were specified as an ordinal variable (<2 months = 0; 2–3 months = 1; 4 months = 2; ≥5 months = 3), with statistically significant waning indicated by a p-value <0.05 for the resulting regression coefficient. SAS (version 9.4, SAS Institute) and R software (version 4.1.2, R Foundation) were used to prepare data and perform statistical analysis.

For illustration purposes, the earliest and latest VE estimates for the trend are described. The overall trend can be statistically significant even though the precision of each estimate might be low, with the 95% CIs of estimates including zero. Analyses were stratified by two periods: Delta variant predominance and Omicron variant predominance. This study was reviewed and approved by the institutional review boards at participating sites and under a reliance agreement with the Westat, Inc. Institutional Review Board.§§§

Among 241,204 eligible ED/UC encounters, 185,652 (77%) and 55,552 (23%) occurred during the Delta- and Omicron-predominant periods, respectively (Table 1). Among persons with COVID-19–like illness seeking care at ED/UC facilities, 46% were unvaccinated, 44% had received 2 doses of vaccine, and 10% had received 3 doses. The median interval since receipt of the most recent dose before the ED/UC encounter was 214 days (IQR = 164–259 days) among those who had received 2 doses and 49 days (IQR = 30–73) among those who had received 3 doses (CDC, unpublished data, 2022).

During the Delta-predominant period, VE against laboratory-confirmed COVID-19–associated ED/UC encounters was higher after receipt of a third dose than after a second dose; however, VE declined with increasing time since vaccination (Table 2). Among recipients of 3 doses, VE was 97% within 2 months of vaccination and declined to 89% among those vaccinated ≥4 months earlier (p<0.001 for test of trend in waning VE).

During the Omicron-predominant period, VE against COVID-19–associated ED/UC encounters was lower overall compared with that during the Delta-predominant period and waned after the second dose, from 69% within 2 months of vaccination to 37% at ≥5 months after vaccination (p<0.001). Protection increased after a third dose, with VE of 87% among those vaccinated within the past 2 months; however, VE after 3 doses declined to 66% among those vaccinated 4–5 months earlier and 31% among those vaccinated ≥5 months earlier, although the latter estimate is imprecise because few data were available on persons vaccinated for ≥5 months after a third dose. The decreasing trend of VE with increasing time since vaccination was significant (p<0.001).

Among 93,408 eligible hospitalizations, 83,045 (89%) and 10,363 (11%) occurred during the Delta- and Omicron-predominant periods, respectively (Table 3). Among persons hospitalized with COVID-19–like illness, 43% were unvaccinated, 45% had received 2 vaccine doses, and 12% had received 3 doses. The median interval since receipt of the most recent dose before hospitalization was 216 days (IQR = 175–257 days) among those who had received 2 doses and 46 days (IQR = 29–67 days) among those who had received 3 doses, (CDC, unpublished data, 2022).

During the Delta-predominant period, 2-dose VE against laboratory-confirmed COVID-19–associated hospitalizations declined with increasing time since vaccination and increased after a third dose (Table 2). Among recipients of 3 doses during the Delta-predominant period, VE against COVID-19–associated hospitalizations declined from 96% within 2 months of vaccination to 76% among those vaccinated ≥4 months earlier although the latter estimate is imprecise because few data were available on persons vaccinated for ≥4 months after a third dose during the Delta-predominant period (p<0.001 for test of trend in waning VE).

During the period of Omicron predominance, VE against COVID-19–associated hospitalizations was lower overall and waned with time since vaccination: VE after a second dose declined from 71% within 2 months of vaccination to 54% among those vaccinated ≥5 months earlier (p = 0.01). Among recipients of 3 doses, VE against COVID-19–associated hospitalizations declined from 91% among those vaccinated within the past 2 months to 78% among those vaccinated ≥4 months earlier (p<0.001).

Discussion

In a multistate analysis of 241,204 ED/UC encounters and 93,408 hospitalizations among adults with COVID-19–like illness during August 26, 2021–January 22, 2022, estimates of VE against laboratory-confirmed COVID-19 were lower during the Omicron-predominant than during the Delta-predominant period, after accounting for both number of vaccine doses received and time since vaccination. During both periods, VE after receipt of a third dose was always higher than VE following a second dose; however, VE waned with increasing time since vaccination. During the Omicron-predominant period, mRNA vaccination was highly effective against both COVID-19–associated ED/UC encounters (VE = 87%) and COVID-19 hospitalizations (VE = 91%) within 2 months after a third dose, but effectiveness waned, declining to 66% for prevention of COVID-19–associated ED/UC encounters by the fourth month after receipt of a third dose and to 78% for hospitalizations by the fourth month after receipt of a third dose. The finding of lower VE for 2 or 3 doses during the Omicron-predominant period is consistent with previous reports from the VISION network and others¶¶¶,**** (2,7). Waning of VE after receipt of a third dose of mRNA vaccine has also been observed in Israel (8) and in preliminary reports from the VISION Network (2). This analysis enhances an earlier VISION Network report (2) by extending the Omicron study period to January 22, 2022, providing a more detailed breakdown of time since vaccination, and using an analytic technique that better controls for potential confounding by calendar week and geographic area. By comparing COVID-19 test-positive case-patients with COVID-19 test-negative control patients in the same geographic area and for whom encounter index dates occurred within the same week, bias in VE estimates resulting from temporal and spatial variations in virus circulation and vaccine coverage was reduced.

The findings in this report are subject to at least seven limitations. First, because this study was designed to estimate VE against COVID-19–associated ED/UC visits or hospitalizations, VE estimates from this study do not include COVID-19 infections that were not medically attended. Second, the median interval from receipt of a third dose to medical encounters was 49 days; thus, the observed performance of a third dose is limited to a relatively short period after vaccination. Third, the small number of COVID-19 test-positive patients in the most remote time-since-vaccination groups reduced the precision of the VE estimates for those groups (e.g., ≥5 months). Fourth, variations in waning of VE by age group, immunocompromised status, other indicators of underlying health status, or vaccine product have not yet been examined. This study could not distinguish whether a third dose was received as an additional dose as part of a primary series (as recommended for immunocompromised persons) or as a booster dose after completion of a primary series. Further research should evaluate waning VE of a third primary dose among immunocompromised adults compared with waning of VE after a booster dose among immunocompetent adults. Fifth, despite adjustments to account for differences between unvaccinated and vaccinated persons, VE estimates might have been biased by residual differences between these groups with respect to immunocompromised status and other health conditions, as well as from unmeasured behaviors (e.g., mask use and close contact with persons with COVID-19). For example, insufficient adjustment for immunocompromised status might have biased the estimates of VE downward among persons most remote from receipt of a third dose. Sixth, genetic characterization of patients’ viruses was not available, and analyses relied on dates when the Omicron variant became locally predominant based on surveillance data; therefore, the Omicron period of predominance in this study likely includes some medical encounters associated with the Delta variant. Finally, although the facilities in this study serve heterogeneous populations in 10 states, the findings might not be generalizable to the U.S. population.

These findings underscore the importance of receiving a third dose of mRNA COVID-19 vaccine to prevent both COVID-19–associated ED/UC encounters and COVID-19 hospitalizations among adults. The finding that protection conferred by mRNA vaccines waned in the months after receipt of a third vaccine dose reinforces the importance of further consideration of additional doses to sustain or improve protection against COVID-19–associated ED/UC encounters and COVID-19 hospitalizations. All eligible persons should remain up to date with recommended COVID-19 vaccinations to best protect against COVID-19–associated hospitalizations and ED/UC visits.


1CDC COVID-19 Emergency Response Team; 2School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado; 3Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, Indiana; 4Fairbanks School of Public Health, Indiana University, Indianapolis, Indiana; 5Westat, Rockville, Maryland; 6HealthPartners Institute, Minneapolis, Minnesota; 7Center for Health Research, Kaiser Permanente Northwest, Portland, Oregon; 8Kaiser Permanente Vaccine Study Center, Kaiser Permanente Northern California Division of Research, Oakland, California; 9Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, New York; 10New York Presbyterian Hospital, New York, New York; 11Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City, Utah; 12Indiana University School of Medicine, Indianapolis, Indiana; 13Vanderbilt University Medical Center, Nashville, Tennessee; 14Baylor Scott & White Health, Temple, Texas; 15Children’s Minnesota, Minneapolis, Minnesota; 16Texas A&M University College of Medicine, Temple, Texas.

References

  1. Fowlkes A, Gaglani M, Groover K, Thiese MS, Tyner H, Ellingson K; HEROES-RECOVER Cohorts. Effectiveness of COVID-19 vaccines in preventing SARS-CoV-2 infection among frontline workers before and during B.1.617.2 (Delta) variant predominance—eight U.S. locations, December 2020–August 2021. MMWR Morb Mortal Wkly Rep 2021;70:1167–9. https://doi.org/10.15585/mmwr.mm7034e4external icon PMID:34437521external icon
  2. Thompson MG, Natarajan K, Irving SA, et al. Effectiveness of a third dose of mRNA vaccines against COVID-19–associated emergency department and urgent care encounters and hospitalizations among adults during periods of Delta and Omicron variant predominance—VISION Network, 10 States, August 2021–January 2022. MMWR Morb Mortal Wkly Rep 2022;71:139–45. https://doi.org/10.15585/mmwr.mm7104e3external icon PMID:35085224external icon
  3. Tartof SY, Slezak JM, Fischer H, et al. Effectiveness of mRNA BNT162b2 COVID-19 vaccine up to 6 months in a large integrated health system in the USA: a retrospective cohort study. Lancet 2021;398:1407–16. https://doi.org/10.1016/S0140-6736(21)02183-8external icon PMID:34619098external icon
  4. Tenforde MW, Self WH, Naioti EA, et al.; IVY Network Investigators; IVY Network. Sustained effectiveness of Pfizer-BioNTech and Moderna vaccines against COVID-19 associated hospitalizations among adults—United States, March–July 2021. MMWR Morb Mortal Wkly Rep 2021;70:1156–62. https://doi.org/10.15585/mmwr.mm7034e2external icon PMID:34437524external icon
  5. Bruxvoort KJ, Sy LS, Qian L, et al. Effectiveness of mRNA-1273 against
    Delta, Mu, and other emerging variants of SARS-CoV-2: test negative case-control study. BMJ 2021;375:e068848. https://doi.org/10.1136/bmj-2021-068848external icon PMID:34911691external icon
  6. Thompson MG, Stenehjem E, Grannis S, et al. Effectiveness of Covid-19 vaccines in ambulatory and inpatient care settings. N Engl J Med 2021;385:1355–71. https://doi.org/10.1056/NEJMoa2110362external icon PMID:34496194external icon
  7. Accorsi EK, Britton A, Fleming-Dutra KE, et al. Association between 3 doses of mRNA COVID-19 vaccine and symptomatic infection caused by the SARS-CoV-2 Omicron and Delta variants. JAMA 2022. https://doi.org/10.1001/jama.2022.0470external icon PMID:35060999external icon
  8. Barda N, Dagan N, Cohen C, et al. Effectiveness of a third dose of the BNT162b2 mRNA COVID-19 vaccine for preventing severe outcomes in Israel: an observational study. Lancet 2021;398:2093–100. https://doi.org/10.1016/S0140-6736(21)02249-2external icon PMID:34756184external icon
TABLE 1. Characteristics of emergency department and urgent care encounters among adults with COVID-19–like illness,* by mRNA COVID-19 vaccination status and SARS-CoV-2 test result — 10 states,§ August 2021–January 2022
Characteristic Total no. (column %) mRNA COVID-19 vaccination status
no. (row %)
SMD†† SARS-CoV-2 test result
no. (row %)
SMD††
Unvaccinated Vaccinated (2 doses) Vaccinated (3 doses)** Negative Positive
All ED/UC encounters 241,204 (100) 110,873 (46) 105,193 (44) 25,138 (10) 179,378 (74) 61,826 (26)
Variant predominance period
B.1.617.2 (Delta) 185,652 (77) 86,074 (46) 85,371 (46) 14,207 (8) 0.27 148,106 (80) 37,546 (20) 0.50
B.1.1.529 (Omicron) 55,552 (23) 24,799 (45) 19,822 (36) 10,931 (20) 31,272 (56) 24,280 (44)
Site
Baylor Scott & White Health 40,621 (17) 23,827 (59) 14,438 (36) 2,356 (6) 0.70 28,701 (71) 11,920 (29) 0.40
Columbia University§§ 5,681 (2) 3,039 (53) 2,388 (42) 254 (4) 4,025 (71) 1,656 (29)
HealthPartners§§ 4,893 (2) 1,352 (28) 3,270 (67) 271 (6) 4,109 (84) 784 (16)
Intermountain Healthcare 61,333 (25) 25,072 (41) 29,407 (48) 6,854 (11) 50,637 (83) 10,696 (17)
Kaiser Permanente Northern California 45,753 (19) 11,165 (24) 25,335 (55) 9,253 (20) 34,715 (76) 11,038 (24)
Kaiser Permanente Northwest 16,625 (7) 5,895 (35) 8,620 (52) 2,110 (13) 13,561 (82) 3,064 (18)
Regenstrief Institute 41,694 (17) 26,799 (64) 12,541 (30) 2,354 (6) 25,420 (61) 16,274 (39)
University of Colorado 24,604 (10) 13,724 (56) 9,194 (37) 1,686 (7) 18,210 (74) 6,394 (26)
Age group, yrs
18–44 110,203 (46) 65,073 (59) 40,936 (37) 4,194 (4) 0.81 80,085 (73) 30,118 (27) 0.23
45–64 64,583 (27) 28,479 (44) 30,272 (47) 5,832 (9) 45,710 (71) 18,873 (29)
65–74 31,172 (13) 9,390 (30) 15,289 (49) 6,493 (21) 24,304 (78) 6,868 (22)
75–84 23,242 (10) 5,360 (23) 12,160 (52) 5,722 (25) 19,155 (82) 4,087 (18)
≥85 12,004 (5) 2,571 (21) 6,536 (54) 2,897 (24) 10,124 (84) 1,880 (16)
Sex
Male¶¶ 97,859 (41) 47,368 (48) 40,062 (41) 10,429 (11) 0.06 70,430 (72) 27,429 (28) 0.10
Female 143,345 (59) 63,505 (44) 65,131 (45) 14,709 (10) 108,948 (76) 34,397 (24)
Race/Ethnicity
White, non-Hispanic 150,419 (62) 65,355 (43) 67,433 (45) 17,631 (12) 0.30 116,134 (77) 34,285 (23) 0.22
Hispanic 37,043 (15) 18,238 (49) 16,054 (43) 2,751 (7) 26,148 (71) 10,895 (29)
Black, non-Hispanic 24,702 (10) 14,633 (59) 8,653 (35) 1,416 (6) 16,534 (67) 8,168 (33)
Other, non-Hispanic*** 17,683 (7) 6,153 (35) 9,009 (51) 2,521 (14) 13,360 (76) 4,323 (24)
Unknown 11,357 (5) 6,494 (57) 4,044 (36) 819 (7) 7,202 (63) 4,155 (37)
Chronic respiratory condition†††
Yes¶¶ 42,531 (18) 17,884 (42) 19,359 (46) 5,288 (12) 0.09 35,264 (83) 7,267 (17) 0.22
No 198,673 (82) 92,989 (47) 85,834 (43) 19,850 (10) 144,114 (73) 54,559 (27)
Chronic nonrespiratory condition§§§
Yes¶¶ 62,192 (26) 24,884 (40) 29,202 (47) 8,106 (13) 0.17 50,304 (81) 11,888 (19) 0.21
No 179,012 (74) 85,989 (48) 75,991 (42) 17,032 (10) 129,074 (72) 49,938 (28)
Immunocompromised status¶¶¶
Yes¶¶ 9,546 (4) 3,348 (35) 4,462 (47) 1,736 (18) 0.12 8,222 (86) 1,324 (14) 0.14
No 231,658 (96) 107,525 (46) 100,731 (43) 23,402 (10) 171,156 (74) 60,502 (26)
Total vaccinated 130,331 (54) 105,193 (81) 25,138 (19) 111,559 (86) 18,772 (14)
Vaccine product
Pfizer-BioNTech 79,806 (61) 63,912 (80) 15,894 (20) 67,179 (84) 12,627 (16) 0.15
Moderna 48,990 (38) 41,046 (84) 7,944 (16) 42,980 (88) 6,010 (12)
Combination of mRNA products 1,535 (1) 235 (15) 1,300 (85) 1,400 (91) 135 (9)
No. of doses received (interval from receipt of most recent dose to ED/UC encounter)
2 (<2 mos) 4,808 (4) 4,808 (100) 4,507 (94) 301 (6) 0.38
2 (2–3 mos) 10,644 (8) 10,644 (100) 9,332 (88) 1,312 (12)
2 (4 mos) 10,175 (8) 10,175 (100) 8,945 (88) 1,230 (12)
2 (≥5 mos) 79,566 (61) 79,566 (100) 65,922 (83) 13,644 (17)
3 (<2 mos) 15,614 (12) 15,614 (100) 14,694 (94) 920 (6)
3 (2–3 mos) 8,759 (7) 8,759 (100) 7,639 (87) 1,120 (13)
3 (4 mos) 736 (1) 736 (100) 509 (69) 227 (31)
3 (≥5 mos) 29 (0) 29 (100) 11 (38) 18 (62)

Abbreviations: ED = emergency department; ICD-9 = International Classification of Diseases, Ninth Revision; ICD-10 = International Classification of Diseases, Tenth Revision SMD = standardized mean or proportion difference; UC = urgent care.
* Medical events with a discharge code consistent with COVID-19–like illness were included. COVID-19–like illness diagnoses included acute respiratory illness (e.g., COVID-19, respiratory failure, or pneumonia) or related signs or symptoms (cough, fever, dyspnea, vomiting, or diarrhea) using ICD-9 and ICD-10 diagnosis codes. Clinician-ordered molecular assays (e.g., real-time reverse transcription–polymerase chain reaction) for SARS-CoV-2 occurring ≤14 days before to <72 hours after admission were included. Recipients of Janssen vaccine, 1 or >3 doses of an mRNA vaccine, and those for whom 1–13 days had elapsed since receipt of any dose were excluded.
Vaccination was defined as having received the listed number of doses of an mRNA-based COVID-19 vaccine ≥14 days before the medical event index date, which was the date of respiratory specimen collection associated with the most recent positive or negative SARS-CoV-2 test result before medical event or the admission date if testing only occurred after the admission.
§ California, Colorado, Indiana, Minnesota, New York, Oregon, Texas, Utah, Washington, and Wisconsin.
Partners contributing data on medical events and estimated date of Omicron predominance were in California (December 21), Colorado (December 19), Indiana (December 26), Minnesota and Wisconsin (December 25), New York (December 18), Oregon (December 24), Texas (December 16), Utah (December 24), and Washington (December 24). The study period began in September 2021 for partners located in Texas.
** The ”Vaccinated (3 doses)” category includes persons who have received a third dose in their primary series or have received a booster dose following their 2-dose primary series; the third dose could have been either a 100-μg or 50-μg dose of Moderna vaccine or a 30-μg dose of the Pfizer-BioNTech vaccine.
†† An absolute SMD ≥0.20 indicates a nonnegligible difference in variable distributions between medical events for vaccinated versus unvaccinated patients. When calculating SMDs for differences in characteristics across mRNA COVID-19 vaccination status, the SMD was calculated as the average of the absolute value of the SMD for unvaccinated versus vaccinated with 2 doses and the absolute value of the SMD for unvaccinated versus vaccinated with 3 doses. All SMDs are reported as the absolute SMD.
§§ ED data at Columbia University Irving Medical Center and HealthPartners exclude encounters that were transferred to an inpatient setting
¶¶ Referent group used for SMD calculations for dichotomous variables.
*** Other race includes Asian, Native Hawaiian or other Pacific islander, American Indian or Alaska Native, Other not listed, and multiple races.
††† Chronic respiratory condition was defined using ICD-9 and ICD-10 as the presence of discharge codes for asthma, chronic obstructive pulmonary disease, or other lung disease.
§§§ Chronic nonrespiratory condition was defined using ICD-9 and ICD-10 as the presence of discharge codes for heart failure, ischemic heart disease, hypertension, other heart disease, stroke, other cerebrovascular disease, diabetes type I or II, other diabetes, metabolic disease, clinical obesity, clinically underweight, renal disease, liver disease, blood disorder, immunosuppression, organ transplant, cancer, dementia, neurologic disorder, musculoskeletal disorder, or Down syndrome.
¶¶¶ Immunocompromised status was defined using ICD-9 and ICD-10 as the presence of discharge codes for solid malignancy, hematologic malignancy, rheumatologic or inflammatory disorder, other intrinsic immune condition or immunodeficiency, or organ or stem cell transplant.

TABLE 2. mRNA COVID-19 vaccine effectiveness* against laboratory-confirmed COVID-19–associated emergency department and urgent care encounters and hospitalizations among adults aged ≥18 years, by number and timing of vaccine doses§ — VISION Network, 10 states, August 2021–January 2022**
Characteristic Total SARS-CoV-2 positive test result
no. (%)
VE fully adjusted
% (95% CI)*
Waning trend p value††
ED/UC encounters
Overall
Unvaccinated (Ref) 110,873 43,054 (39)
Any mRNA vaccine, 2 doses 105,193 16,487 (16) 72 (72–73) <0.001
<2 mos 4,808 301 (6) 88 (87–90)
2–3 mos 10,644 1,312 (12) 80 (78–81)
4 mos 10,175 1,230 (12) 79 (77–80)
≥5 mos 79,566 13,644 (17) 69 (68–70)
Any mRNA vaccine, 3 doses 25,138 2,285 (9) 89 (89–90) <0.001
<2 mos 15,614 920 (6) 92 (91–93)
2–3 mos 8,759 1,120 (13) 86 (85–87)
4 mos 736 227 (31) 75 (70–79)
≥5 mos 29 18 (62) 50 (-7–77)
Delta-predominant period
Unvaccinated (Ref) 86,074 29,063 (34)
Any mRNA vaccine, 2 doses 85,371 8,136 (10) 80 (79–81) <0.001
<2 mos 4,253 144 (3) 92 (91–94)
2–3 mos 8,662 527 (6) 88 (86–89)
4 mos 8,941 721 (8) 85 (83–86)
≥5 mos 63,515 6,744 (11) 77 (76–78)
Any mRNA vaccine, 3 doses 14,207 347 (2) 96 (95–96) <0.001
<2 mos 10,621 210 (2) 97 (96–97)
2–3 mos 3,542 134 (4) 93 (92–94)
≥4 mos 44 3 (7) 89 (64–97)
Omicron-predominant period
Unvaccinated (Ref) 24,799 13,991 (56)
Any mRNA vaccine, 2 doses 19,822 8,351 (42) 41 (38–43) <0.001
<2 mos 555 157 (28) 69 (62–75)
2–3 mos 1,982 785 (40) 50 (45–55)
4 mos 1,234 509 (41) 48 (41–54)
≥5 mos 16,051 6,900 (43) 37 (34–40)
Any mRNA vaccine, 3 doses 10,931 1,938 (18) 83 (82–84) <0.001
<2 mos 4,993 710 (14) 87 (85–88)
2–3 mos 5,217 986 (19) 81 (79–82)
4 mos 692 224 (32) 66 (59–71)
≥5 mos 29 18 (62) 31 (−50–68)
Hospitalizations
Overall
Unvaccinated (Ref) 40,125 16,335 (41)
Any mRNA vaccine, 2 doses 42,326 4,294 (10) 82 (81–83) <0.001
<2 mos 1,662 71 (4) 93 (91–94)
2–3 mos 3,084 223 (7) 88 (86–90)
4 mos 3,279 234 (7) 89 (87–90)
≥5 mos 34,301 3,766 (11) 80 (79–81)
Any mRNA vaccine, 3 doses 10,957 471 (4) 93 (92–94) <0.001
<2 mos 7,332 221 (3) 95 (94–95)
2–3 mos 3,413 211 (6) 91 (89–92)
≥4 mos 212 39 (18) 81 (72–87)
Delta-predominant period
Unvaccinated (Ref) 36,214 14,445 (40)
Any mRNA vaccine, 2 doses 38,707 3,315 (9) 85 (84–85) <0.001
<2 mos 1,574 49 (3) 94 (92–96)
2–3 mos 2,790 154 (6) 91 (89–92)
4 mos 3,129 192 (6) 90 (89–92)
≥5 mos 31,214 2,920 (9) 82 (82–83)
Any mRNA vaccine, 3 doses 8,124 195 (2) 95 (95–96) <0.001
<2 mos 6,071 118 (2) 96 (95–97)
2–3 mos 2,030 74 (4) 93 (91–95)
≥4 mos 23 3 (13) 76 (14–93)
Omicron-predominant period
Unvaccinated (Ref) 3,911 1,890 (48)
Any mRNA vaccine, 2 doses 3,619 979 (27) 55 (50–60) 0.01
<2 mos 88 22 (25) 71 (51–83)
2–3 mos 294 69 (23) 65 (53–74)
4 mos 150 42 (28) 58 (38–71)
≥5 mos 3,087 846 (27) 54 (48–59)
Any mRNA vaccine, 3 doses 2,833 276 (10) 88 (86–90) <0.001
<2 mos 1,261 103 (8) 91 (88–93)
2–3 mos 1,383 137 (10) 88 (85–90)
≥4 mos 189 36 (19) 78 (67–85)

Abbreviations: ED = emergency department; ICD-9 = International Classification of Diseases, Ninth Revision; ICD-10 = International Classification of Diseases, Tenth Revision; Ref = referent group; UC = urgent care; VE = vaccine effectiveness.
* VE was calculated as [1 − odds ratio] x 100%, estimated using a test-negative design, conditioned on calendar week and geographic area, and adjusted for age, local virus circulation (percentage of SARS-CoV-2–positive results from testing within the counties surrounding the facility on the date of the encounter), propensity to be vaccinated (calculated separately for each VE estimate), and other factors. Generalized boosted regression tree methods were used to estimate the propensity to be vaccinated based on sociodemographic characteristics, underlying medical conditions, and facility characteristics.
Medical events with a discharge code consistent with COVID-19–like illness were included. COVID-19–like illness diagnoses included acute respiratory illness (e.g., COVID-19, respiratory failure, or pneumonia) or related signs or symptoms (cough, fever, dyspnea, vomiting, or diarrhea) using ICD-9 and ICD-10 diagnosis codes. Clinician-ordered molecular assays (e.g., real-time reverse transcription–polymerase chain reaction) for SARS-CoV-2 occurring ≤14 days before to <72 hours after admission were included. Recipients of Janssen vaccine, 1 or >3 doses of an mRNA vaccine, and those for whom <14 days had elapsed since receipt of any dose were excluded.
§ Vaccination status was documented in electronic health records and immunization registries and was defined as having received the listed number of doses of an mRNA-based COVID-19 vaccine ≥14 days before the medical event index date. Index date was defined as the date of respiratory specimen collection associated with the most recent positive or negative SARS-CoV-2 test result before the medical event or the admission date if testing only occurred after the admission. Persons categorized as having received 3 vaccine doses include those who received a third dose in their primary series or received a booster dose after their 2 dose primary series; the third dose could have been either a 100-μg or 50-μg dose of Moderna vaccine or a 30-μg dose of the Pfizer-BioNTech vaccine.
California, Colorado, Indiana, Minnesota, New York, Oregon, Texas, Utah, Washington, and Wisconsin.
** Partners contributing data on medical events and estimated dates of Omicron predominance were in California (December 21), Colorado (December 19), Indiana (December 26), Minnesota and Wisconsin (December 25), New York (December 18), Oregon (December 24), Texas (December 16), Utah (December 24), and Washington (December 24). The study period began in September 2021 for partners located in Texas.
†† p-value for test of linear trendline fitted to VE estimates across ordinal categories of time since vaccination (<2 months = 0; 2–3 months = 1, 4 months = 2, ≥5 months = 3).

TABLE 3. Characteristics of hospitalizations among adults with COVID-19–like illness,* by mRNA COVID-19 vaccination status and SARS-CoV-2 test result — 10 states,§ August 2021-January 2022
Characteristic Total no. (column %) mRNA COVID-19 vaccination status,
no. (row %)
SMD†† SARS-CoV-2 test result,
no. (row %)
SMD††
Unvaccinated Vaccinated (2 doses) Vaccinated (3 doses)** Negative Positive
All hospitalizations 93,408 (100) 40,125 (43) 42,326 (45) 10,957 (12) 72,308 (77) 21,100 (23)
Variant predominance period
B.1.617.2 (Delta) 83,045 (89) 36,214 (44) 38,707 (47) 8,124 (10) 0.24 65,090 (78) 17,955 (22) 0.15
B.1.1.529 (Omicron) 10,363 (11) 3,911 (38) 3,619 (35) 2,833 (27) 7,218 (70) 3,145 (30)
Site
Baylor Scott & White Health 17,110 (18) 8,688 (51) 7,182 (42) 1,240 (7) 0.67 13,772 (80) 3,338 (20) 0.43
Columbia University 3,491 (4) 1,494 (43) 1,723 (49) 274 (8) 2,908 (83) 583 (17)
HealthPartners 1,096 (1) 253 (23) 777 (71) 66 (6) 966 (88) 130 (12)
Intermountain Healthcare 8,070 (9) 3,741 (46) 3,299 (41) 1,030 (13) 5,643 (70) 2,427 (30)
Kaiser Permanente Northern California 23,236 (25) 4,967 (21) 13,264 (57) 5,005 (22) 19,952 (86) 3,284 (14)
Kaiser Permanente Northwest 4,170 (5) 1,702 (41) 1,988 (48) 480 (12) 3,371 (81) 799 (19)
Regenstrief Institute 25,131 (27) 13,891 (55) 9,415 (37) 1,825 (7) 16,897 (67) 8,234 (33)
University of Colorado 11,104 (12) 5,389 (49) 4,678 (42) 1,037 (9) 8,799 (79) 2,305 (21)
Age group, yrs
18–44 17,919 (19) 11,649 (65) 5,550 (31) 720 (4) 0.75 12,998 (73) 4,921 (27) 0.32
45–64 25,620 (27) 13,426 (52) 10,470 (41) 1,724 (7) 18,278 (71) 7,342 (29)
65–74 20,947 (22) 7,369 (35) 10,471 (50) 3,107 (15) 16,775 (80) 4,172 (20)
75–84 18,316 (20) 5,003 (27) 9,874 (54) 3,439 (19) 15,215 (83) 3,101 (17)
≥85 10,606 (11) 2,678 (25) 5,961 (56) 1,967 (19) 9,042 (85) 1,564 (15)
Sex
Male§§ 42,175 (45) 18,619 (44) 18,465 (44) 5,091 (12) 0.03 31,609 (75) 10,566 (25) 0.13
Female 51,233 (55) 21,506 (42) 23,861 (47) 5,866 (11) 40,699 (79) 10,534 (21)
Race/Ethnicity
White, non-Hispanic 60,285 (65) 24,582 (41) 27,842 (46) 7,861 (13) 0.28 47,171 (78) 13,114 (22) 0.16
Hispanic 11,752 (13) 5,559 (47) 5,194 (44) 999 (9) 8,680 (74) 3,072 (26)
Black, non-Hispanic 10,360 (11) 5,447 (53) 4,200 (41) 713 (7) 8,077 (78) 2,283 (22)
Other, non-Hispanic¶¶ 7,199 (8) 2,379 (33) 3,722 (52) 1,098 (15) 5,845 (81) 1,354 (19)
Unknown 3,812 (4) 2,158 (57) 1,368 (36) 286 (8) 2,535 (67) 1,277 (33)
Chronic respiratory condition***
Yes§§ 59,525 (64) 24,741 (42) 27,360 (46) 7,424 (12) 0.10 46,548 (78) 12,977 (22) 0.06
No 33,883 (36) 15,384 (45) 14,966 (44) 3,533 (10) 25,760 (76) 8,123 (24)
Chronic nonrespiratory condition†††
Yes§§ 79,433 (85) 31,480 (40) 37,798 (48) 10,155 (13) 0.36 63,475 (80) 15,958 (20) 0.32
No 13,975 (15) 8,645 (62) 4,528 (32) 802 (6) 8,833 (63) 5,142 (37)
Immunocompromised status§§§
Yes§§ 19,401 (21) 5,988 (31) 9,755 (50) 3,658 (19) 0.33 16,969 (87) 2,432 (13) 0.32
No 74,007 (79) 34,137 (46) 32,571 (44) 7,299 (10) 55,339 (75) 18,668 (25)
Total vaccinated 53,283 (57) 42,326 (79) 10,957 (21) 48,518 (91) 4,765 (9)
Vaccine product
Pfizer-BioNTech 31,460 (59) 24,382 (78) 7,078 (22) 28,339 (90) 3,121 (10) 0.15
Moderna 21,349 (40) 17,850 (84) 3,499 (16) 19,731 (92) 1,618 (8)
Combination of mRNA products 474 (1) 94 (20) 380 (80) 448 (95) 26 (5)
No. of doses received (interval from receipt of most recent dose to hospitalization)
2 (<2 mos) 1,662 (3) 1,662 (100) 1,591 (96) 71 (4) 0.42
2 (2–3 mos) 3,084 (6) 3,084 (100) 2,861 (93) 223 (7)
2 (4 mos) 3,279 (6) 3,279 (100) 3,045 (93) 234 (7)
2 (≥5 mos) 34,301 (64) 34,301 (100) 30,535 (89) 3,766 (11)
3 (<2 mos) 7,332 (14) 7,332 (100) 7,111 (97) 221 (3)
3 (2–3 mos) 3,413 (6) 3,413 (100) 3,202 (94) 211 (6)
3 (≥4 mos) 212 (0) 212 (100) 173 (82) 39 (18)

Abbreviations: ICD-9 = International Classification of Diseases, Ninth Revision; ICD-10 = International Classification of Diseases, Tenth Revision; SMD = standardized mean or proportion difference.
* Medical events with a discharge code consistent with COVID-19–like illness were included. COVID-19–like illness diagnoses included acute respiratory illness (e.g., COVID-19, respiratory failure, or pneumonia) or related signs or symptoms (cough, fever, dyspnea, vomiting, or diarrhea) using ICD-9 and ICD-10 diagnosis codes. Clinician-ordered molecular assays (e.g., real-time reverse transcription–polymerase chain reaction) for SARS-CoV-2 occurring ≤14 days before to <72 hours after admission were included. Recipients of Janssen vaccine, 1 or >3 doses of an mRNA vaccine, and those for whom 1–13 days had elapsed since receipt of any dose were excluded.
Vaccination was defined as having received the listed number of doses of an mRNA-based COVID-19 vaccine ≥14 days before the medical event index date, which was the date of respiratory specimen collection associated with the most recent positive or negative SARS-CoV-2 test result before medical event or the admission date if testing only occurred after the admission.
§ California, Colorado, Indiana, Minnesota, New York, Oregon, Texas, Utah, Washington, and Wisconsin.
Partners contributing data on medical events and estimated date of Omicron predominance were in California (December 21), Colorado (December 19), Indiana (December 26), Minnesota and Wisconsin (December 25), New York (December 18), Oregon (December 24), Texas (December 16), Utah (December 24), and Washington (December 24). The study period began in September 2021 for partners located in Texas.
** Persons categorized as having received 3 vaccine doses include those who have received a third dose in their primary series or have received a booster dose following their 2-dose primary series; the third dose could have been either a 100-μg or 50-μg dose of Moderna vaccine or a 30-μg dose of the Pfizer-BioNTech vaccine.
†† An absolute SMD ≥0.20 indicates a nonnegligible difference in variable distributions between medical events for vaccinated versus unvaccinated patients. When calculating SMDs for differences of characteristics across mRNA COVID-19 vaccination status, the SMD was calculated as the average of the absolute value of the SMD for unvaccinated versus vaccinated with 2 doses and the absolute value of the SMD for unvaccinated versus vaccinated with 3 doses. All SMDs are reported as the absolute SMD.
§§ Indicates the referent group used for SMD calculations for dichotomous variables.
¶¶ Other race includes Asian, Native Hawaiian or other Pacific islander, American Indian or Alaska Native, Other not listed, and multiple races.
*** Chronic respiratory condition was defined using ICD-9 and ICD-10 as the presence of discharge codes for asthma, chronic obstructive pulmonary disease, or other lung disease.
††† Chronic nonrespiratory condition was defined using ICD-9 and ICD-10 as the presence of discharge codes for heart failure, ischemic heart disease, hypertension, other heart disease, stroke, other cerebrovascular disease, diabetes type I or II, other diabetes, metabolic disease, clinical obesity, clinically underweight, renal disease, liver disease, blood disorder, immunosuppression, organ transplant, cancer, dementia, neurologic disorder, musculoskeletal disorder, or Down syndrome.
§§§ Immunocompromised status was defined using ICD-9 and ICD-10 as the presence of discharge codes for solid malignancy, hematologic malignancy, rheumatologic or inflammatory disorder, other intrinsic immune condition or immunodeficiency, or organ or stem cell transplant.

Suggested citation for this article: Ferdinands JM, Rao S, Dixon BE, et al. Waning 2-Dose and 3-Dose Effectiveness of mRNA Vaccines Against COVID-19–Associated Emergency Department and Urgent Care Encounters and Hospitalizations Among Adults During Periods of Delta and Omicron Variant Predominance — VISION Network, 10 States, August 2021–January 2022. MMWR Morb Mortal Wkly Rep. ePub: 11 February 2022. DOI: http://dx.doi.org/10.15585/mmwr.mm7107e2external icon.


MMWR and Morbidity and Mortality Weekly Report are service marks of the U.S. Department of Health and Human Services.
Use of trade names and commercial sources is for identification only and does not imply endorsement by the U.S. Department of
Health and Human Services.
References to non-CDC sites on the Internet are
provided as a service to MMWR readers and do not constitute or imply
endorsement of these organizations or their programs by CDC or the U.S.
Department of Health and Human Services. CDC is not responsible for the content
of pages found at these sites. URL addresses listed in MMWR were current as of
the date of publication.

All HTML versions of MMWR articles are generated from final proofs through an automated process.
This conversion might result in character translation or format errors in the HTML version.
Users are referred to the electronic PDF version (https://www.cdc.gov/mmwr)
and/or the original MMWR paper copy for printable versions of official text, figures, and tables.

Questions or messages regarding errors in formatting should be addressed to
mmwrq@cdc.gov.

Read original article here

Waning 2-Dose and 3-Dose Effectiveness of mRNA Vaccines Against COVID-19–Associated Emergency Department and Urgent Care Encounters and Hospitalizations Among Adults During Periods of Delta and Omicron Variant Predominance — VISION Network, 10 States, August 2021–January 2022

Jill M. Ferdinands, PhD1; Suchitra Rao, MBBS2; Brian E. Dixon, PhD3,4; Patrick K. Mitchell, ScD5; Malini B. DeSilva, MD6; Stephanie A. Irving, MHS7; Ned Lewis, MPH8; Karthik Natarajan, PhD9,10; Edward Stenehjem, MD11; Shaun J. Grannis, MD3,12; Jungmi Han9; Charlene McEvoy, MD6; Toan C. Ong, PhD2; Allison L. Naleway, PhD7; Sarah E. Reese, PhD5; Peter J. Embi, MD3,12,13; Kristin Dascomb, MD11; Nicola P. Klein, MD8; Eric P. Griggs, MPH1; Deepika Konatham14; Anupam B. Kharbanda, MD15; Duck-Hye Yang, PhD5; William F. Fadel, PhD3,4; Nancy Grisel, MPP11; Kristin Goddard, MPH8; Palak Patel, MBBS1; I-Chia Liao, MPH14; Rebecca Birch, MPH5; Nimish R. Valvi, DrPH3; Sue Reynolds, PhD1; Julie Arndorfer, MPH11; Ousseny Zerbo, PhD8; Monica Dickerson1; Kempapura Murthy, MBBS14; Jeremiah Williams, MPH1; Catherine H. Bozio, PhD1; Lenee Blanton, MPH1; Jennifer R. Verani, MD1; Stephanie J. Schrag, DPhil1; Alexandra F. Dalton, PhD1; Mehiret H. Wondimu, MPH1; Ruth Link-Gelles, PhD1; Eduardo Azziz-Baumgartner, MD1; Michelle A. Barron, MD2; Manjusha Gaglani, MBBS14,16; Mark G. Thompson, PhD1; Bruce Fireman8 (View author affiliations)

View suggested citation

Summary

What is already known about this topic?

Protection against COVID-19 after 2 doses of mRNA vaccine wanes, but little is known about durability of protection after 3 doses.

What is added by this report?

Vaccine effectiveness (VE) against COVID-19–associated emergency department/urgent care (ED/UC) visits and hospitalizations was higher after the third dose than after the second dose but waned with time since vaccination. During the Omicron-predominant period, VE against COVID-19–associated ED/UC visits and hospitalizations was 87% and 91%, respectively, during the 2 months after a third dose and decreased to 66% and 78% by the fourth month after a third dose. Protection against hospitalizations exceeded that against ED/UC visits.

What are the implications for public health practice?

All eligible persons should remain up to date with recommended COVID-19 vaccinations to best protect against COVID-19–associated hospitalizations and ED/UC visits.

Altmetric:
Citations:
Views:

Views equals page views plus PDF downloads

CDC recommends that all persons aged ≥12 years receive a booster dose of COVID-19 mRNA vaccine ≥5 months after completion of a primary mRNA vaccination series and that immunocompromised persons receive a third primary dose.* Waning of vaccine protection after 2 doses of mRNA vaccine has been observed during the period of the SARS-CoV-2 B.1.617.2 (Delta) variant predominance (15), but little is known about durability of protection after 3 doses during periods of Delta or SARS-CoV-2 B.1.1.529 (Omicron) variant predominance. A test-negative case-control study design using data from eight VISION Network sites§ examined vaccine effectiveness (VE) against COVID-19 emergency department/urgent care (ED/UC) visits and hospitalizations among U.S. adults aged ≥18 years at various time points after receipt of a second or third vaccine dose during two periods: Delta variant predominance and Omicron variant predominance (i.e., periods when each variant accounted for ≥50% of sequenced isolates). Persons categorized as having received 3 doses included those who received a third dose in a primary series or a booster dose after a 2 dose primary series (including the reduced-dosage Moderna booster). The VISION Network analyzed 241,204 ED/UC encounters** and 93,408 hospitalizations across 10 states during August 26, 2021–January 22, 2022. VE after receipt of both 2 and 3 doses was lower during the Omicron-predominant than during the Delta-predominant period at all time points evaluated. During both periods, VE after receipt of a third dose was higher than that after a second dose; however, VE waned with increasing time since vaccination. During the Omicron period, VE against ED/UC visits was 87% during the first 2 months after a third dose and decreased to 66% among those vaccinated 4–5 months earlier; VE against hospitalizations was 91% during the first 2 months following a third dose and decreased to 78% ≥4 months after a third dose. For both Delta- and Omicron-predominant periods, VE was generally higher for protection against hospitalizations than against ED/UC visits. All eligible persons should remain up to date with recommended COVID-19 vaccinations to best protect against COVID-19–associated hospitalizations and ED/UC visits.

VISION Network methods have been previously published (6). Eligible medical encounters were defined as those among adults aged ≥18 years with a COVID-19–like illness diagnosis†† who had received molecular testing (primarily reverse transcription–polymerase chain reaction assay) for SARS-CoV-2, the virus that causes COVID-19, during the 14 days before through 72 hours after the medical encounter. The study period began on August 26, 2021, 14 days after the first U.S. recommendation for a third mRNA COVID-19 vaccine dose.§§ The date when the Omicron variant accounted for ≥50% of sequenced isolates was determined for each study site based on state and national surveillance data. Recipients of Ad.26.COV2.S (Janssen [Johnson & Johnson]) vaccine, 1 or >3 doses of an mRNA vaccine, and those for whom <14 days had elapsed since receipt of any dose were excluded.

VE was estimated using a test-negative design, comparing the odds of a positive SARS-CoV-2 test result between vaccinated and unvaccinated patients using logistic regression models conditioned on calendar week and geographic area and adjusting for age, local virus circulation, immunocompromised status, additional patient comorbidities, and other patient and facility characteristics.¶¶ Immunocompromised status was identified by previously published diagnosis codes.*** Vaccination status was categorized based on the number of vaccine doses received and number of days between receipt of the most recent vaccine dose and the index medical encounter date (referred to as time since vaccination).††† Patients with no record of mRNA vaccination before the index date were considered unvaccinated. Persons categorized as having received 3 doses included those who received a third dose in a primary series or a booster dose after a 2 dose primary series (including the reduced-dosage Moderna booster).

A standardized mean or proportion difference ≥0.2 indicated a nonnegligible difference in distributions of vaccination or infection status. The most remote category of time since vaccination was either ≥4 months or ≥5 months, depending on data availability (no hospitalizations were observed ≥5 months after receipt of a third dose during either period). To test for a trend in waning, time since vaccination categories were specified as an ordinal variable (<2 months = 0; 2–3 months = 1; 4 months = 2; ≥5 months = 3), with statistically significant waning indicated by a p-value <0.05 for the resulting regression coefficient. SAS (version 9.4, SAS Institute) and R software (version 4.1.2, R Foundation) were used to prepare data and perform statistical analysis.

For illustration purposes, the earliest and latest VE estimates for the trend are described. The overall trend can be statistically significant even though the precision of each estimate might be low, with the 95% CIs of estimates including zero. Analyses were stratified by two periods: Delta variant predominance and Omicron variant predominance. This study was reviewed and approved by the institutional review boards at participating sites and under a reliance agreement with the Westat, Inc. Institutional Review Board.§§§

Among 241,204 eligible ED/UC encounters, 185,652 (77%) and 55,552 (23%) occurred during the Delta- and Omicron-predominant periods, respectively (Table 1). Among persons with COVID-19–like illness seeking care at ED/UC facilities, 46% were unvaccinated, 44% had received 2 doses of vaccine, and 10% had received 3 doses. The median interval since receipt of the most recent dose before the ED/UC encounter was 214 days (IQR = 164–259 days) among those who had received 2 doses and 49 days (IQR = 30–73) among those who had received 3 doses (CDC, unpublished data, 2022).

During the Delta-predominant period, VE against laboratory-confirmed COVID-19–associated ED/UC encounters was higher after receipt of a third dose than after a second dose; however, VE declined with increasing time since vaccination (Table 2). Among recipients of 3 doses, VE was 97% within 2 months of vaccination and declined to 89% among those vaccinated ≥4 months earlier (p<0.001 for test of trend in waning VE).

During the Omicron-predominant period, VE against COVID-19–associated ED/UC encounters was lower overall compared with that during the Delta-predominant period and waned after the second dose, from 69% within 2 months of vaccination to 37% at ≥5 months after vaccination (p<0.001). Protection increased after a third dose, with VE of 87% among those vaccinated within the past 2 months; however, VE after 3 doses declined to 66% among those vaccinated 4–5 months earlier and 31% among those vaccinated ≥5 months earlier, although the latter estimate is imprecise because few data were available on persons vaccinated for ≥5 months after a third dose. The decreasing trend of VE with increasing time since vaccination was significant (p<0.001).

Among 93,408 eligible hospitalizations, 83,045 (89%) and 10,363 (11%) occurred during the Delta- and Omicron-predominant periods, respectively (Table 3). Among persons hospitalized with COVID-19–like illness, 43% were unvaccinated, 45% had received 2 vaccine doses, and 12% had received 3 doses. The median interval since receipt of the most recent dose before hospitalization was 216 days (IQR = 175–257 days) among those who had received 2 doses and 46 days (IQR = 29–67 days) among those who had received 3 doses, (CDC, unpublished data, 2022).

During the Delta-predominant period, 2-dose VE against laboratory-confirmed COVID-19–associated hospitalizations declined with increasing time since vaccination and increased after a third dose (Table 2). Among recipients of 3 doses during the Delta-predominant period, VE against COVID-19–associated hospitalizations declined from 96% within 2 months of vaccination to 76% among those vaccinated ≥4 months earlier although the latter estimate is imprecise because few data were available on persons vaccinated for ≥4 months after a third dose during the Delta-predominant period (p<0.001 for test of trend in waning VE).

During the period of Omicron predominance, VE against COVID-19–associated hospitalizations was lower overall and waned with time since vaccination: VE after a second dose declined from 71% within 2 months of vaccination to 54% among those vaccinated ≥5 months earlier (p = 0.01). Among recipients of 3 doses, VE against COVID-19–associated hospitalizations declined from 91% among those vaccinated within the past 2 months to 78% among those vaccinated ≥4 months earlier (p<0.001).

Discussion

In a multistate analysis of 241,204 ED/UC encounters and 93,408 hospitalizations among adults with COVID-19–like illness during August 26, 2021–January 22, 2022, estimates of VE against laboratory-confirmed COVID-19 were lower during the Omicron-predominant than during the Delta-predominant period, after accounting for both number of vaccine doses received and time since vaccination. During both periods, VE after receipt of a third dose was always higher than VE following a second dose; however, VE waned with increasing time since vaccination. During the Omicron-predominant period, mRNA vaccination was highly effective against both COVID-19–associated ED/UC encounters (VE = 87%) and COVID-19 hospitalizations (VE = 91%) within 2 months after a third dose, but effectiveness waned, declining to 66% for prevention of COVID-19–associated ED/UC encounters by the fourth month after receipt of a third dose and to 78% for hospitalizations by the fourth month after receipt of a third dose. The finding of lower VE for 2 or 3 doses during the Omicron-predominant period is consistent with previous reports from the VISION network and others¶¶¶,**** (2,7). Waning of VE after receipt of a third dose of mRNA vaccine has also been observed in Israel (8) and in preliminary reports from the VISION Network (2). This analysis enhances an earlier VISION Network report (2) by extending the Omicron study period to January 22, 2022, providing a more detailed breakdown of time since vaccination, and using an analytic technique that better controls for potential confounding by calendar week and geographic area. By comparing COVID-19 test-positive case-patients with COVID-19 test-negative control patients in the same geographic area and for whom encounter index dates occurred within the same week, bias in VE estimates resulting from temporal and spatial variations in virus circulation and vaccine coverage was reduced.

The findings in this report are subject to at least seven limitations. First, because this study was designed to estimate VE against COVID-19–associated ED/UC visits or hospitalizations, VE estimates from this study do not include COVID-19 infections that were not medically attended. Second, the median interval from receipt of a third dose to medical encounters was 49 days; thus, the observed performance of a third dose is limited to a relatively short period after vaccination. Third, the small number of COVID-19 test-positive patients in the most remote time-since-vaccination groups reduced the precision of the VE estimates for those groups (e.g., ≥5 months). Fourth, variations in waning of VE by age group, immunocompromised status, other indicators of underlying health status, or vaccine product have not yet been examined. This study could not distinguish whether a third dose was received as an additional dose as part of a primary series (as recommended for immunocompromised persons) or as a booster dose after completion of a primary series. Further research should evaluate waning VE of a third primary dose among immunocompromised adults compared with waning of VE after a booster dose among immunocompetent adults. Fifth, despite adjustments to account for differences between unvaccinated and vaccinated persons, VE estimates might have been biased by residual differences between these groups with respect to immunocompromised status and other health conditions, as well as from unmeasured behaviors (e.g., mask use and close contact with persons with COVID-19). For example, insufficient adjustment for immunocompromised status might have biased the estimates of VE downward among persons most remote from receipt of a third dose. Sixth, genetic characterization of patients’ viruses was not available, and analyses relied on dates when the Omicron variant became locally predominant based on surveillance data; therefore, the Omicron period of predominance in this study likely includes some medical encounters associated with the Delta variant. Finally, although the facilities in this study serve heterogeneous populations in 10 states, the findings might not be generalizable to the U.S. population.

These findings underscore the importance of receiving a third dose of mRNA COVID-19 vaccine to prevent both COVID-19–associated ED/UC encounters and COVID-19 hospitalizations among adults. The finding that protection conferred by mRNA vaccines waned in the months after receipt of a third vaccine dose reinforces the importance of further consideration of additional doses to sustain or improve protection against COVID-19–associated ED/UC encounters and COVID-19 hospitalizations. All eligible persons should remain up to date with recommended COVID-19 vaccinations to best protect against COVID-19–associated hospitalizations and ED/UC visits.


1CDC COVID-19 Emergency Response Team; 2School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado; 3Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, Indiana; 4Fairbanks School of Public Health, Indiana University, Indianapolis, Indiana; 5Westat, Rockville, Maryland; 6HealthPartners Institute, Minneapolis, Minnesota; 7Center for Health Research, Kaiser Permanente Northwest, Portland, Oregon; 8Kaiser Permanente Vaccine Study Center, Kaiser Permanente Northern California Division of Research, Oakland, California; 9Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, New York; 10New York Presbyterian Hospital, New York, New York; 11Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City, Utah; 12Indiana University School of Medicine, Indianapolis, Indiana; 13Vanderbilt University Medical Center, Nashville, Tennessee; 14Baylor Scott & White Health, Temple, Texas; 15Children’s Minnesota, Minneapolis, Minnesota; 16Texas A&M University College of Medicine, Temple, Texas.

References

  1. Fowlkes A, Gaglani M, Groover K, Thiese MS, Tyner H, Ellingson K; HEROES-RECOVER Cohorts. Effectiveness of COVID-19 vaccines in preventing SARS-CoV-2 infection among frontline workers before and during B.1.617.2 (Delta) variant predominance—eight U.S. locations, December 2020–August 2021. MMWR Morb Mortal Wkly Rep 2021;70:1167–9. https://doi.org/10.15585/mmwr.mm7034e4external icon PMID:34437521external icon
  2. Thompson MG, Natarajan K, Irving SA, et al. Effectiveness of a third dose of mRNA vaccines against COVID-19–associated emergency department and urgent care encounters and hospitalizations among adults during periods of Delta and Omicron variant predominance—VISION Network, 10 States, August 2021–January 2022. MMWR Morb Mortal Wkly Rep 2022;71:139–45. https://doi.org/10.15585/mmwr.mm7104e3external icon PMID:35085224external icon
  3. Tartof SY, Slezak JM, Fischer H, et al. Effectiveness of mRNA BNT162b2 COVID-19 vaccine up to 6 months in a large integrated health system in the USA: a retrospective cohort study. Lancet 2021;398:1407–16. https://doi.org/10.1016/S0140-6736(21)02183-8external icon PMID:34619098external icon
  4. Tenforde MW, Self WH, Naioti EA, et al.; IVY Network Investigators; IVY Network. Sustained effectiveness of Pfizer-BioNTech and Moderna vaccines against COVID-19 associated hospitalizations among adults—United States, March–July 2021. MMWR Morb Mortal Wkly Rep 2021;70:1156–62. https://doi.org/10.15585/mmwr.mm7034e2external icon PMID:34437524external icon
  5. Bruxvoort KJ, Sy LS, Qian L, et al. Effectiveness of mRNA-1273 against
    Delta, Mu, and other emerging variants of SARS-CoV-2: test negative case-control study. BMJ 2021;375:e068848. https://doi.org/10.1136/bmj-2021-068848external icon PMID:34911691external icon
  6. Thompson MG, Stenehjem E, Grannis S, et al. Effectiveness of Covid-19 vaccines in ambulatory and inpatient care settings. N Engl J Med 2021;385:1355–71. https://doi.org/10.1056/NEJMoa2110362external icon PMID:34496194external icon
  7. Accorsi EK, Britton A, Fleming-Dutra KE, et al. Association between 3 doses of mRNA COVID-19 vaccine and symptomatic infection caused by the SARS-CoV-2 Omicron and Delta variants. JAMA 2022. https://doi.org/10.1001/jama.2022.0470external icon PMID:35060999external icon
  8. Barda N, Dagan N, Cohen C, et al. Effectiveness of a third dose of the BNT162b2 mRNA COVID-19 vaccine for preventing severe outcomes in Israel: an observational study. Lancet 2021;398:2093–100. https://doi.org/10.1016/S0140-6736(21)02249-2external icon PMID:34756184external icon
TABLE 1. Characteristics of emergency department and urgent care encounters among adults with COVID-19–like illness,* by mRNA COVID-19 vaccination status and SARS-CoV-2 test result — 10 states,§ August 2021–January 2022
Characteristic Total no. (column %) mRNA COVID-19 vaccination status
no. (row %)
SMD†† SARS-CoV-2 test result
no. (row %)
SMD††
Unvaccinated Vaccinated (2 doses) Vaccinated (3 doses)** Negative Positive
All ED/UC encounters 241,204 (100) 110,873 (46) 105,193 (44) 25,138 (10) 179,378 (74) 61,826 (26)
Variant predominance period
B.1.617.2 (Delta) 185,652 (77) 86,074 (46) 85,371 (46) 14,207 (8) 0.27 148,106 (80) 37,546 (20) 0.50
B.1.1.529 (Omicron) 55,552 (23) 24,799 (45) 19,822 (36) 10,931 (20) 31,272 (56) 24,280 (44)
Site
Baylor Scott & White Health 40,621 (17) 23,827 (59) 14,438 (36) 2,356 (6) 0.70 28,701 (71) 11,920 (29) 0.40
Columbia University§§ 5,681 (2) 3,039 (53) 2,388 (42) 254 (4) 4,025 (71) 1,656 (29)
HealthPartners§§ 4,893 (2) 1,352 (28) 3,270 (67) 271 (6) 4,109 (84) 784 (16)
Intermountain Healthcare 61,333 (25) 25,072 (41) 29,407 (48) 6,854 (11) 50,637 (83) 10,696 (17)
Kaiser Permanente Northern California 45,753 (19) 11,165 (24) 25,335 (55) 9,253 (20) 34,715 (76) 11,038 (24)
Kaiser Permanente Northwest 16,625 (7) 5,895 (35) 8,620 (52) 2,110 (13) 13,561 (82) 3,064 (18)
Regenstrief Institute 41,694 (17) 26,799 (64) 12,541 (30) 2,354 (6) 25,420 (61) 16,274 (39)
University of Colorado 24,604 (10) 13,724 (56) 9,194 (37) 1,686 (7) 18,210 (74) 6,394 (26)
Age group, yrs
18–44 110,203 (46) 65,073 (59) 40,936 (37) 4,194 (4) 0.81 80,085 (73) 30,118 (27) 0.23
45–64 64,583 (27) 28,479 (44) 30,272 (47) 5,832 (9) 45,710 (71) 18,873 (29)
65–74 31,172 (13) 9,390 (30) 15,289 (49) 6,493 (21) 24,304 (78) 6,868 (22)
75–84 23,242 (10) 5,360 (23) 12,160 (52) 5,722 (25) 19,155 (82) 4,087 (18)
≥85 12,004 (5) 2,571 (21) 6,536 (54) 2,897 (24) 10,124 (84) 1,880 (16)
Sex
Male¶¶ 97,859 (41) 47,368 (48) 40,062 (41) 10,429 (11) 0.06 70,430 (72) 27,429 (28) 0.10
Female 143,345 (59) 63,505 (44) 65,131 (45) 14,709 (10) 108,948 (76) 34,397 (24)
Race/Ethnicity
White, non-Hispanic 150,419 (62) 65,355 (43) 67,433 (45) 17,631 (12) 0.30 116,134 (77) 34,285 (23) 0.22
Hispanic 37,043 (15) 18,238 (49) 16,054 (43) 2,751 (7) 26,148 (71) 10,895 (29)
Black, non-Hispanic 24,702 (10) 14,633 (59) 8,653 (35) 1,416 (6) 16,534 (67) 8,168 (33)
Other, non-Hispanic*** 17,683 (7) 6,153 (35) 9,009 (51) 2,521 (14) 13,360 (76) 4,323 (24)
Unknown 11,357 (5) 6,494 (57) 4,044 (36) 819 (7) 7,202 (63) 4,155 (37)
Chronic respiratory condition†††
Yes¶¶ 42,531 (18) 17,884 (42) 19,359 (46) 5,288 (12) 0.09 35,264 (83) 7,267 (17) 0.22
No 198,673 (82) 92,989 (47) 85,834 (43) 19,850 (10) 144,114 (73) 54,559 (27)
Chronic nonrespiratory condition§§§
Yes¶¶ 62,192 (26) 24,884 (40) 29,202 (47) 8,106 (13) 0.17 50,304 (81) 11,888 (19) 0.21
No 179,012 (74) 85,989 (48) 75,991 (42) 17,032 (10) 129,074 (72) 49,938 (28)
Immunocompromised status¶¶¶
Yes¶¶ 9,546 (4) 3,348 (35) 4,462 (47) 1,736 (18) 0.12 8,222 (86) 1,324 (14) 0.14
No 231,658 (96) 107,525 (46) 100,731 (43) 23,402 (10) 171,156 (74) 60,502 (26)
Total vaccinated 130,331 (54) 105,193 (81) 25,138 (19) 111,559 (86) 18,772 (14)
Vaccine product
Pfizer-BioNTech 79,806 (61) 63,912 (80) 15,894 (20) 67,179 (84) 12,627 (16) 0.15
Moderna 48,990 (38) 41,046 (84) 7,944 (16) 42,980 (88) 6,010 (12)
Combination of mRNA products 1,535 (1) 235 (15) 1,300 (85) 1,400 (91) 135 (9)
No. of doses received (interval from receipt of most recent dose to ED/UC encounter)
2 (<2 mos) 4,808 (4) 4,808 (100) 4,507 (94) 301 (6) 0.38
2 (2–3 mos) 10,644 (8) 10,644 (100) 9,332 (88) 1,312 (12)
2 (4 mos) 10,175 (8) 10,175 (100) 8,945 (88) 1,230 (12)
2 (≥5 mos) 79,566 (61) 79,566 (100) 65,922 (83) 13,644 (17)
3 (<2 mos) 15,614 (12) 15,614 (100) 14,694 (94) 920 (6)
3 (2–3 mos) 8,759 (7) 8,759 (100) 7,639 (87) 1,120 (13)
3 (4 mos) 736 (1) 736 (100) 509 (69) 227 (31)
3 (≥5 mos) 29 (0) 29 (100) 11 (38) 18 (62)

Abbreviations: ED = emergency department; ICD-9 = International Classification of Diseases, Ninth Revision; ICD-10 = International Classification of Diseases, Tenth Revision SMD = standardized mean or proportion difference; UC = urgent care.
* Medical events with a discharge code consistent with COVID-19–like illness were included. COVID-19–like illness diagnoses included acute respiratory illness (e.g., COVID-19, respiratory failure, or pneumonia) or related signs or symptoms (cough, fever, dyspnea, vomiting, or diarrhea) using ICD-9 and ICD-10 diagnosis codes. Clinician-ordered molecular assays (e.g., real-time reverse transcription–polymerase chain reaction) for SARS-CoV-2 occurring ≤14 days before to <72 hours after admission were included. Recipients of Janssen vaccine, 1 or >3 doses of an mRNA vaccine, and those for whom 1–13 days had elapsed since receipt of any dose were excluded.
Vaccination was defined as having received the listed number of doses of an mRNA-based COVID-19 vaccine ≥14 days before the medical event index date, which was the date of respiratory specimen collection associated with the most recent positive or negative SARS-CoV-2 test result before medical event or the admission date if testing only occurred after the admission.
§ California, Colorado, Indiana, Minnesota, New York, Oregon, Texas, Utah, Washington, and Wisconsin.
Partners contributing data on medical events and estimated date of Omicron predominance were in California (December 21), Colorado (December 19), Indiana (December 26), Minnesota and Wisconsin (December 25), New York (December 18), Oregon (December 24), Texas (December 16), Utah (December 24), and Washington (December 24). The study period began in September 2021 for partners located in Texas.
** The ”Vaccinated (3 doses)” category includes persons who have received a third dose in their primary series or have received a booster dose following their 2-dose primary series; the third dose could have been either a 100-μg or 50-μg dose of Moderna vaccine or a 30-μg dose of the Pfizer-BioNTech vaccine.
†† An absolute SMD ≥0.20 indicates a nonnegligible difference in variable distributions between medical events for vaccinated versus unvaccinated patients. When calculating SMDs for differences in characteristics across mRNA COVID-19 vaccination status, the SMD was calculated as the average of the absolute value of the SMD for unvaccinated versus vaccinated with 2 doses and the absolute value of the SMD for unvaccinated versus vaccinated with 3 doses. All SMDs are reported as the absolute SMD.
§§ ED data at Columbia University Irving Medical Center and HealthPartners exclude encounters that were transferred to an inpatient setting
¶¶ Referent group used for SMD calculations for dichotomous variables.
*** Other race includes Asian, Native Hawaiian or other Pacific islander, American Indian or Alaska Native, Other not listed, and multiple races.
††† Chronic respiratory condition was defined using ICD-9 and ICD-10 as the presence of discharge codes for asthma, chronic obstructive pulmonary disease, or other lung disease.
§§§ Chronic nonrespiratory condition was defined using ICD-9 and ICD-10 as the presence of discharge codes for heart failure, ischemic heart disease, hypertension, other heart disease, stroke, other cerebrovascular disease, diabetes type I or II, other diabetes, metabolic disease, clinical obesity, clinically underweight, renal disease, liver disease, blood disorder, immunosuppression, organ transplant, cancer, dementia, neurologic disorder, musculoskeletal disorder, or Down syndrome.
¶¶¶ Immunocompromised status was defined using ICD-9 and ICD-10 as the presence of discharge codes for solid malignancy, hematologic malignancy, rheumatologic or inflammatory disorder, other intrinsic immune condition or immunodeficiency, or organ or stem cell transplant.

TABLE 2. mRNA COVID-19 vaccine effectiveness* against laboratory-confirmed COVID-19–associated emergency department and urgent care encounters and hospitalizations among adults aged ≥18 years, by number and timing of vaccine doses§ — VISION Network, 10 states, August 2021–January 2022**
Characteristic Total SARS-CoV-2 positive test result
no. (%)
VE fully adjusted
% (95% CI)*
Waning trend p value††
ED/UC encounters
Overall
Unvaccinated (Ref) 110,873 43,054 (39)
Any mRNA vaccine, 2 doses 105,193 16,487 (16) 72 (72–73) <0.001
<2 mos 4,808 301 (6) 88 (87–90)
2–3 mos 10,644 1,312 (12) 80 (78–81)
4 mos 10,175 1,230 (12) 79 (77–80)
≥5 mos 79,566 13,644 (17) 69 (68–70)
Any mRNA vaccine, 3 doses 25,138 2,285 (9) 89 (89–90) <0.001
<2 mos 15,614 920 (6) 92 (91–93)
2–3 mos 8,759 1,120 (13) 86 (85–87)
4 mos 736 227 (31) 75 (70–79)
≥5 mos 29 18 (62) 50 (-7–77)
Delta-predominant period
Unvaccinated (Ref) 86,074 29,063 (34)
Any mRNA vaccine, 2 doses 85,371 8,136 (10) 80 (79–81) <0.001
<2 mos 4,253 144 (3) 92 (91–94)
2–3 mos 8,662 527 (6) 88 (86–89)
4 mos 8,941 721 (8) 85 (83–86)
≥5 mos 63,515 6,744 (11) 77 (76–78)
Any mRNA vaccine, 3 doses 14,207 347 (2) 96 (95–96) <0.001
<2 mos 10,621 210 (2) 97 (96–97)
2–3 mos 3,542 134 (4) 93 (92–94)
≥4 mos 44 3 (7) 89 (64–97)
Omicron-predominant period
Unvaccinated (Ref) 24,799 13,991 (56)
Any mRNA vaccine, 2 doses 19,822 8,351 (42) 41 (38–43) <0.001
<2 mos 555 157 (28) 69 (62–75)
2–3 mos 1,982 785 (40) 50 (45–55)
4 mos 1,234 509 (41) 48 (41–54)
≥5 mos 16,051 6,900 (43) 37 (34–40)
Any mRNA vaccine, 3 doses 10,931 1,938 (18) 83 (82–84) <0.001
<2 mos 4,993 710 (14) 87 (85–88)
2–3 mos 5,217 986 (19) 81 (79–82)
4 mos 692 224 (32) 66 (59–71)
≥5 mos 29 18 (62) 31 (−50–68)
Hospitalizations
Overall
Unvaccinated (Ref) 40,125 16,335 (41)
Any mRNA vaccine, 2 doses 42,326 4,294 (10) 82 (81–83) <0.001
<2 mos 1,662 71 (4) 93 (91–94)
2–3 mos 3,084 223 (7) 88 (86–90)
4 mos 3,279 234 (7) 89 (87–90)
≥5 mos 34,301 3,766 (11) 80 (79–81)
Any mRNA vaccine, 3 doses 10,957 471 (4) 93 (92–94) <0.001
<2 mos 7,332 221 (3) 95 (94–95)
2–3 mos 3,413 211 (6) 91 (89–92)
≥4 mos 212 39 (18) 81 (72–87)
Delta-predominant period
Unvaccinated (Ref) 36,214 14,445 (40)
Any mRNA vaccine, 2 doses 38,707 3,315 (9) 85 (84–85) <0.001
<2 mos 1,574 49 (3) 94 (92–96)
2–3 mos 2,790 154 (6) 91 (89–92)
4 mos 3,129 192 (6) 90 (89–92)
≥5 mos 31,214 2,920 (9) 82 (82–83)
Any mRNA vaccine, 3 doses 8,124 195 (2) 95 (95–96) <0.001
<2 mos 6,071 118 (2) 96 (95–97)
2–3 mos 2,030 74 (4) 93 (91–95)
≥4 mos 23 3 (13) 76 (14–93)
Omicron-predominant period
Unvaccinated (Ref) 3,911 1,890 (48)
Any mRNA vaccine, 2 doses 3,619 979 (27) 55 (50–60) 0.01
<2 mos 88 22 (25) 71 (51–83)
2–3 mos 294 69 (23) 65 (53–74)
4 mos 150 42 (28) 58 (38–71)
≥5 mos 3,087 846 (27) 54 (48–59)
Any mRNA vaccine, 3 doses 2,833 276 (10) 88 (86–90) <0.001
<2 mos 1,261 103 (8) 91 (88–93)
2–3 mos 1,383 137 (10) 88 (85–90)
≥4 mos 189 36 (19) 78 (67–85)

Abbreviations: ED = emergency department; ICD-9 = International Classification of Diseases, Ninth Revision; ICD-10 = International Classification of Diseases, Tenth Revision; Ref = referent group; UC = urgent care; VE = vaccine effectiveness.
* VE was calculated as [1 − odds ratio] x 100%, estimated using a test-negative design, conditioned on calendar week and geographic area, and adjusted for age, local virus circulation (percentage of SARS-CoV-2–positive results from testing within the counties surrounding the facility on the date of the encounter), propensity to be vaccinated (calculated separately for each VE estimate), and other factors. Generalized boosted regression tree methods were used to estimate the propensity to be vaccinated based on sociodemographic characteristics, underlying medical conditions, and facility characteristics.
Medical events with a discharge code consistent with COVID-19–like illness were included. COVID-19–like illness diagnoses included acute respiratory illness (e.g., COVID-19, respiratory failure, or pneumonia) or related signs or symptoms (cough, fever, dyspnea, vomiting, or diarrhea) using ICD-9 and ICD-10 diagnosis codes. Clinician-ordered molecular assays (e.g., real-time reverse transcription–polymerase chain reaction) for SARS-CoV-2 occurring ≤14 days before to <72 hours after admission were included. Recipients of Janssen vaccine, 1 or >3 doses of an mRNA vaccine, and those for whom <14 days had elapsed since receipt of any dose were excluded.
§ Vaccination status was documented in electronic health records and immunization registries and was defined as having received the listed number of doses of an mRNA-based COVID-19 vaccine ≥14 days before the medical event index date. Index date was defined as the date of respiratory specimen collection associated with the most recent positive or negative SARS-CoV-2 test result before the medical event or the admission date if testing only occurred after the admission. Persons categorized as having received 3 vaccine doses include those who received a third dose in their primary series or received a booster dose after their 2 dose primary series; the third dose could have been either a 100-μg or 50-μg dose of Moderna vaccine or a 30-μg dose of the Pfizer-BioNTech vaccine.
California, Colorado, Indiana, Minnesota, New York, Oregon, Texas, Utah, Washington, and Wisconsin.
** Partners contributing data on medical events and estimated dates of Omicron predominance were in California (December 21), Colorado (December 19), Indiana (December 26), Minnesota and Wisconsin (December 25), New York (December 18), Oregon (December 24), Texas (December 16), Utah (December 24), and Washington (December 24). The study period began in September 2021 for partners located in Texas.
†† p-value for test of linear trendline fitted to VE estimates across ordinal categories of time since vaccination (<2 months = 0; 2–3 months = 1, 4 months = 2, ≥5 months = 3).

TABLE 3. Characteristics of hospitalizations among adults with COVID-19–like illness,* by mRNA COVID-19 vaccination status and SARS-CoV-2 test result — 10 states,§ August 2021-January 2022
Characteristic Total no. (column %) mRNA COVID-19 vaccination status,
no. (row %)
SMD†† SARS-CoV-2 test result,
no. (row %)
SMD††
Unvaccinated Vaccinated (2 doses) Vaccinated (3 doses)** Negative Positive
All hospitalizations 93,408 (100) 40,125 (43) 42,326 (45) 10,957 (12) 72,308 (77) 21,100 (23)
Variant predominance period
B.1.617.2 (Delta) 83,045 (89) 36,214 (44) 38,707 (47) 8,124 (10) 0.24 65,090 (78) 17,955 (22) 0.15
B.1.1.529 (Omicron) 10,363 (11) 3,911 (38) 3,619 (35) 2,833 (27) 7,218 (70) 3,145 (30)
Site
Baylor Scott & White Health 17,110 (18) 8,688 (51) 7,182 (42) 1,240 (7) 0.67 13,772 (80) 3,338 (20) 0.43
Columbia University 3,491 (4) 1,494 (43) 1,723 (49) 274 (8) 2,908 (83) 583 (17)
HealthPartners 1,096 (1) 253 (23) 777 (71) 66 (6) 966 (88) 130 (12)
Intermountain Healthcare 8,070 (9) 3,741 (46) 3,299 (41) 1,030 (13) 5,643 (70) 2,427 (30)
Kaiser Permanente Northern California 23,236 (25) 4,967 (21) 13,264 (57) 5,005 (22) 19,952 (86) 3,284 (14)
Kaiser Permanente Northwest 4,170 (5) 1,702 (41) 1,988 (48) 480 (12) 3,371 (81) 799 (19)
Regenstrief Institute 25,131 (27) 13,891 (55) 9,415 (37) 1,825 (7) 16,897 (67) 8,234 (33)
University of Colorado 11,104 (12) 5,389 (49) 4,678 (42) 1,037 (9) 8,799 (79) 2,305 (21)
Age group, yrs
18–44 17,919 (19) 11,649 (65) 5,550 (31) 720 (4) 0.75 12,998 (73) 4,921 (27) 0.32
45–64 25,620 (27) 13,426 (52) 10,470 (41) 1,724 (7) 18,278 (71) 7,342 (29)
65–74 20,947 (22) 7,369 (35) 10,471 (50) 3,107 (15) 16,775 (80) 4,172 (20)
75–84 18,316 (20) 5,003 (27) 9,874 (54) 3,439 (19) 15,215 (83) 3,101 (17)
≥85 10,606 (11) 2,678 (25) 5,961 (56) 1,967 (19) 9,042 (85) 1,564 (15)
Sex
Male§§ 42,175 (45) 18,619 (44) 18,465 (44) 5,091 (12) 0.03 31,609 (75) 10,566 (25) 0.13
Female 51,233 (55) 21,506 (42) 23,861 (47) 5,866 (11) 40,699 (79) 10,534 (21)
Race/Ethnicity
White, non-Hispanic 60,285 (65) 24,582 (41) 27,842 (46) 7,861 (13) 0.28 47,171 (78) 13,114 (22) 0.16
Hispanic 11,752 (13) 5,559 (47) 5,194 (44) 999 (9) 8,680 (74) 3,072 (26)
Black, non-Hispanic 10,360 (11) 5,447 (53) 4,200 (41) 713 (7) 8,077 (78) 2,283 (22)
Other, non-Hispanic¶¶ 7,199 (8) 2,379 (33) 3,722 (52) 1,098 (15) 5,845 (81) 1,354 (19)
Unknown 3,812 (4) 2,158 (57) 1,368 (36) 286 (8) 2,535 (67) 1,277 (33)
Chronic respiratory condition***
Yes§§ 59,525 (64) 24,741 (42) 27,360 (46) 7,424 (12) 0.10 46,548 (78) 12,977 (22) 0.06
No 33,883 (36) 15,384 (45) 14,966 (44) 3,533 (10) 25,760 (76) 8,123 (24)
Chronic nonrespiratory condition†††
Yes§§ 79,433 (85) 31,480 (40) 37,798 (48) 10,155 (13) 0.36 63,475 (80) 15,958 (20) 0.32
No 13,975 (15) 8,645 (62) 4,528 (32) 802 (6) 8,833 (63) 5,142 (37)
Immunocompromised status§§§
Yes§§ 19,401 (21) 5,988 (31) 9,755 (50) 3,658 (19) 0.33 16,969 (87) 2,432 (13) 0.32
No 74,007 (79) 34,137 (46) 32,571 (44) 7,299 (10) 55,339 (75) 18,668 (25)
Total vaccinated 53,283 (57) 42,326 (79) 10,957 (21) 48,518 (91) 4,765 (9)
Vaccine product
Pfizer-BioNTech 31,460 (59) 24,382 (78) 7,078 (22) 28,339 (90) 3,121 (10) 0.15
Moderna 21,349 (40) 17,850 (84) 3,499 (16) 19,731 (92) 1,618 (8)
Combination of mRNA products 474 (1) 94 (20) 380 (80) 448 (95) 26 (5)
No. of doses received (interval from receipt of most recent dose to hospitalization)
2 (<2 mos) 1,662 (3) 1,662 (100) 1,591 (96) 71 (4) 0.42
2 (2–3 mos) 3,084 (6) 3,084 (100) 2,861 (93) 223 (7)
2 (4 mos) 3,279 (6) 3,279 (100) 3,045 (93) 234 (7)
2 (≥5 mos) 34,301 (64) 34,301 (100) 30,535 (89) 3,766 (11)
3 (<2 mos) 7,332 (14) 7,332 (100) 7,111 (97) 221 (3)
3 (2–3 mos) 3,413 (6) 3,413 (100) 3,202 (94) 211 (6)
3 (≥4 mos) 212 (0) 212 (100) 173 (82) 39 (18)

Abbreviations: ICD-9 = International Classification of Diseases, Ninth Revision; ICD-10 = International Classification of Diseases, Tenth Revision; SMD = standardized mean or proportion difference.
* Medical events with a discharge code consistent with COVID-19–like illness were included. COVID-19–like illness diagnoses included acute respiratory illness (e.g., COVID-19, respiratory failure, or pneumonia) or related signs or symptoms (cough, fever, dyspnea, vomiting, or diarrhea) using ICD-9 and ICD-10 diagnosis codes. Clinician-ordered molecular assays (e.g., real-time reverse transcription–polymerase chain reaction) for SARS-CoV-2 occurring ≤14 days before to <72 hours after admission were included. Recipients of Janssen vaccine, 1 or >3 doses of an mRNA vaccine, and those for whom 1–13 days had elapsed since receipt of any dose were excluded.
Vaccination was defined as having received the listed number of doses of an mRNA-based COVID-19 vaccine ≥14 days before the medical event index date, which was the date of respiratory specimen collection associated with the most recent positive or negative SARS-CoV-2 test result before medical event or the admission date if testing only occurred after the admission.
§ California, Colorado, Indiana, Minnesota, New York, Oregon, Texas, Utah, Washington, and Wisconsin.
Partners contributing data on medical events and estimated date of Omicron predominance were in California (December 21), Colorado (December 19), Indiana (December 26), Minnesota and Wisconsin (December 25), New York (December 18), Oregon (December 24), Texas (December 16), Utah (December 24), and Washington (December 24). The study period began in September 2021 for partners located in Texas.
** Persons categorized as having received 3 vaccine doses include those who have received a third dose in their primary series or have received a booster dose following their 2-dose primary series; the third dose could have been either a 100-μg or 50-μg dose of Moderna vaccine or a 30-μg dose of the Pfizer-BioNTech vaccine.
†† An absolute SMD ≥0.20 indicates a nonnegligible difference in variable distributions between medical events for vaccinated versus unvaccinated patients. When calculating SMDs for differences of characteristics across mRNA COVID-19 vaccination status, the SMD was calculated as the average of the absolute value of the SMD for unvaccinated versus vaccinated with 2 doses and the absolute value of the SMD for unvaccinated versus vaccinated with 3 doses. All SMDs are reported as the absolute SMD.
§§ Indicates the referent group used for SMD calculations for dichotomous variables.
¶¶ Other race includes Asian, Native Hawaiian or other Pacific islander, American Indian or Alaska Native, Other not listed, and multiple races.
*** Chronic respiratory condition was defined using ICD-9 and ICD-10 as the presence of discharge codes for asthma, chronic obstructive pulmonary disease, or other lung disease.
††† Chronic nonrespiratory condition was defined using ICD-9 and ICD-10 as the presence of discharge codes for heart failure, ischemic heart disease, hypertension, other heart disease, stroke, other cerebrovascular disease, diabetes type I or II, other diabetes, metabolic disease, clinical obesity, clinically underweight, renal disease, liver disease, blood disorder, immunosuppression, organ transplant, cancer, dementia, neurologic disorder, musculoskeletal disorder, or Down syndrome.
§§§ Immunocompromised status was defined using ICD-9 and ICD-10 as the presence of discharge codes for solid malignancy, hematologic malignancy, rheumatologic or inflammatory disorder, other intrinsic immune condition or immunodeficiency, or organ or stem cell transplant.

Suggested citation for this article: Ferdinands JM, Rao S, Dixon BE, et al. Waning 2-Dose and 3-Dose Effectiveness of mRNA Vaccines Against COVID-19–Associated Emergency Department and Urgent Care Encounters and Hospitalizations Among Adults During Periods of Delta and Omicron Variant Predominance — VISION Network, 10 States, August 2021–January 2022. MMWR Morb Mortal Wkly Rep. ePub: 11 February 2022. DOI: http://dx.doi.org/10.15585/mmwr.mm7107e2external icon.


MMWR and Morbidity and Mortality Weekly Report are service marks of the U.S. Department of Health and Human Services.
Use of trade names and commercial sources is for identification only and does not imply endorsement by the U.S. Department of
Health and Human Services.
References to non-CDC sites on the Internet are
provided as a service to MMWR readers and do not constitute or imply
endorsement of these organizations or their programs by CDC or the U.S.
Department of Health and Human Services. CDC is not responsible for the content
of pages found at these sites. URL addresses listed in MMWR were current as of
the date of publication.

All HTML versions of MMWR articles are generated from final proofs through an automated process.
This conversion might result in character translation or format errors in the HTML version.
Users are referred to the electronic PDF version (https://www.cdc.gov/mmwr)
and/or the original MMWR paper copy for printable versions of official text, figures, and tables.

Questions or messages regarding errors in formatting should be addressed to
mmwrq@cdc.gov.

Read original article here

Waning Immunity after the BNT162b2 Vaccine in Israel

Data Source

Data on all residents of Israel who had been fully vaccinated before June 1, 2021, and who had not been infected before the study period were extracted from the Israeli Ministry of Health database on September 2, 2021. We defined fully vaccinated persons as those for whom 7 days or more had passed since receipt of the second dose of the BNT162b2 vaccine. We used the Ministry of Health official database that contains all information regarding Covid-19 (see Supplementary Methods 1 in the Supplementary Appendix, available with the full text of this article at NEJM.org). We extracted from the database information on all documented SARS-CoV-2 infections (i.e., positive result on PCR assay) and on the severity of the disease after infection. We focused on infections that had been documented in the period from July 11 through 31, 2021 (study period), removing from the data all confirmed cases that had been documented before that period. The start date was selected as a time when the virus had already spread throughout the entire country and across population sectors. The end date was just after Israel had initiated a campaign regarding the use of a booster vaccine (third dose). The study period happened to coincide with the school summer vacation.

We omitted from all the analyses children and adolescents younger than 16 years of age (most of whom were unvaccinated or had been recently vaccinated). Only persons 40 years of age or older were included in the analysis of severe disease because severe disease was rare in the younger population. Severe disease was defined as a resting respiratory rate of more than 30 breaths per minute, oxygen saturation of less than 94% while the person was breathing ambient air, or a ratio of the partial pressure of arterial oxygen to the fraction of inspired oxygen of less than 300.14 Persons who died from Covid-19 during the follow-up period were included in the study and categorized as having had severe disease.

During the study period, approximately 10% of the detected infections were in residents of Israel returning from abroad. Most residents who traveled abroad had been vaccinated and were exposed to different populations, so their risk of infection differed from that in the rest of the study population. We therefore removed from the analysis all residents who had returned from abroad in July.

Vaccination Schedule

The official vaccination regimen in Israel involved the administration of the second dose 3 weeks after the first dose. All residents 60 years of age or older were eligible for vaccination starting on December 20, 2020, thus becoming fully vaccinated starting in mid-January 2021. At that time, younger persons were eligible for vaccination only if they belonged to designated groups (e.g., health care workers and severely immunocompromised adults). The eligibility age was reduced to 55 years on January 12, 2021, and to 40 years on January 19, 2021. On February 4, 2021, all persons 16 years of age or older became eligible for vaccination. Thus, if they did not belong to a designated group, persons 40 to 59 years of age received the second dose starting in mid-February, and those 16 to 39 years of age received the second dose starting in the beginning of March. On the basis of these dates, we defined our periods of interest in half months starting from January 16; vaccination periods for individual persons were determined according to the time that they had become fully vaccinated (i.e., 1 week after receipt of the second dose). All the analyses were stratified according to vaccination period and to age group (16 to 39 years, 40 to 59 years, and ≥60 years).

Statistical Analysis

The association between the rate of confirmed infections and the period of vaccination provides a measure of waning immunity. Without waning of immunity, one would expect to see no differences in infection rates among persons vaccinated at different times. To examine the effect of waning immunity during the period when the delta variant was predominant, we compared the rate of confirmed infections (per 1000 persons) during the study period (July 11 to 31, 2021) among persons who became fully vaccinated during various periods. The 95% confidence intervals for the rates were calculated by multiplying the standard confidence intervals for proportions by 1000. A similar analysis was performed to compare the association between the rate of severe Covid-19 and the vaccination period, but for this outcome we used periods of entire months because there were fewer cases of severe disease.

To account for possible confounders, we fitted Poisson regressions. The outcome variable was the number of documented SARS-CoV-2 infections or cases of severe Covid-19 during the study period. The period of vaccination, which was defined as 7 days after receipt of the second dose of the Covid-19 vaccine, was the primary exposure of interest. The models compared the rates per 1000 persons between different vaccination periods, in which the reference period for each age group was set according to the time at which all persons in that group first became eligible for vaccination. A differential effect of the vaccination period for each age group was allowed by the inclusion of an interaction term between age and vaccination period. Additional potential confounders were added as covariates, as described below, and the natural logarithm of the number of persons was added as an offset. For each vaccination period and age group, an adjusted rate was calculated as the expected number of weekly events per 100,000 persons if all the persons in that age group had been vaccinated in that period. All the analyses were performed with the use of the glm function in the R statistical software package.17

In addition to age and sex, the regression analysis included as covariates the following confounders. First, because the event rates were rising rapidly during the study period (Figure 1), we included the week in which the event was recorded. Second, although PCR testing is free in Israel for all residents, compliance with PCR-testing recommendations is variable and is a possible source of detection bias. To partially account for this, we stratified persons according to the number of PCR tests that had been performed during the period of March 1 to November 31, 2020, which was before the initiation of the vaccination campaign. We defined three levels of use: zero, one, and two or more PCR tests. Finally, the three major population groups in Israel (general Jewish, Arab, and ultra-Orthodox Jewish) have varying risk factors for infection. The proportion of vaccinated persons, as well as the level of exposure to the virus, differed among these groups.18 Although we restricted the study to dates when the virus was found throughout the country, we included population sector as a covariate to control for any residual confounding effect.

We conducted several secondary analyses to test the robustness of the results, including calculation of the rate of confirmed infection in a finer, 10-year age grouping and an analysis restricted to the general Jewish population (in which the delta outbreak began), which comprises the majority of persons in Israel. In addition, a model including a measure of socioeconomic status as a covariate was fitted to the data, because this was an important risk factor in a previous study.18 Since socioeconomic status was unknown for 5% of the persons in our study and the missingness of the data seemed to be informative, and also owing to concern regarding nondifferential misclassification (persons with unknown socioeconomic status may have had different rates of vaccination, infection, and severe disease), we did not include socioeconomic status in the main analysis. Finally, we compared the association between the number of PCR tests that had been conducted before the vaccination campaign (i.e., before December 2020) with the number that were conducted during the study period in order to evaluate the possible magnitude of detection bias in our analysis. A good correlation between past behavior regarding PCR testing and behavior during the study period would provide reassurance that the inclusion of past behavior as a covariate in the model would control, at least in part, for detection bias.

Read original article here

These numbers show the Bay Area’s delta surge may be waning

The Bay Area may be seeing the first signs that the delta surge is finally waning after upending what was supposed to be a summer of relative pandemic freedom.

But public health experts warn that this fourth wave is unlike any other the region has seen so far, and it’s too soon to say how fast it will ebb or whether the current downward trends will hold, with children back in school and holidays and other events on the horizon that could drive up cases once again. This winter could see another uptick, and vaccination rates may not reach high enough levels to substantially curb the pandemic until early next year, experts say.

For the moment, there are glimmers of hope. Hospitalizations for COVID-19 in the Bay Area dropped for six consecutive days over the end of last month and early this month, and are down about 15% from what may have been the peak, Aug. 24. That’s promising news after weeks of dramatic increases.

It’s a bit more challenging to identify trends in case counts, at least for the region as a whole, in part due to inconsistent data reporting. Coronavirus cases are down in all counties from two weeks ago, though they’ve inched up in a few places recently. The Bay Area reported on average 16 cases a day per 100,000 residents over the seven days ending Tuesday, compared with about 24 cases per 100,000 two weeks ago.

“We have just now started coming down from our peak of delta,” said Dr. Susan Philip, the San Francisco health officer, in an interview Wednesday. “It was a significant surge.”

But some experts wondered how long the downward trend would last. “All the indicators are going in the right direction,” said Dr. George Rutherford, an infectious disease expert at UCSF. “But cases are jumping around, which makes me think we’re going to rebound. I’d say right now it’s hard to call.”



COVID deaths, which typically lag a few weeks behind cases and hospitalizations, are beginning to climb across the region, though not as fast or as high as might have been expected in earlier surges. Health experts say that’s almost certainly due to the region’s relatively high vaccination rates.

Roughly 10 people are dying each day in the Bay Area now, a substantial climb from mid-July when there were just one or two deaths a day.

But the current figures show a smaller fraction of total cases and hospitalizations than have been reported in earlier surges.

Last year around Labor Day, the region was reporting about 15 deaths and about 700 cases per day, with approximately 500 people hospitalized with COVID. This year, it’s 10 deaths and well over 1,000 cases per day, and more than 900 hospitalized.

“We’ll keep monitoring this. But so far our deaths really have been blunted, I think, from the very high vaccination rates,” Dr. Sara Cody, the Santa Clara County health officer, said at a Board of Supervisors meeting last week.

The encouraging news in the Bay Area echoes similar reports for California as a whole, even as pockets of the state continue to be mired in the delta surge. Rural Northern California and the Central Valley — two regions with lower overall vaccination rates than other parts of the state — have been hit particularly hard, and hospitals have struggled to keep up.

Last week, the state announced that the San Joaquin Valley — which includes 12 Central Valley counties — was being placed under a “surge order” because intensive care beds were becoming scarce, with some counties reporting no available capacity. The order requires hospitals around the state to accept transfer patients from strained hospitals when none in the region have space.

As of Tuesday, ICU availability in the region had dropped to 6.8% — under 10% triggers the state surge order. ICU availability was 24% for the Greater Bay Area and 20% overall for the state.

In other parts of the country, the picture is even more dire. Intensive care units in some Southern regions are filled entirely with COVID patients and have no available beds. In at least six states — Alabama, Arkansas, Florida, Georgia, Mississippi and Texas — more than 90% of all ICU beds are occupied, according to the Center for Infectious Disease Research and Policy at the University of Minnesota.

“Every health care system in the country is stressed because of COVID. It was true at the beginning; it was even more true now that we’re a year and a half into the pandemic. The question is what’s the relative level of stress,” said Dr. Susan Ehrlich, chief executive of San Francisco General Hospital, during a panel discussion last week.

“The big picture of San Francisco is … people were willing to stay home and willing to wear masks that mitigated the full impact of the pandemic,” she said. “What it means now is at San Francisco General today we have 25 people with COVID in the hospital. But if you were in Florida or Mississippi or Texas, hospitals are completely overwhelmed.”

On Thursday, President Biden is scheduled to announce a new “six-point” plan to tackle the national delta surge that has been battering the country since early July and shows few signs of dissipating. The Centers for Disease Control and Prevention released new forecasts Wednesday that predict hospitalizations to hold steady nationwide over the next four weeks, and rise in 10 states.

Though trends are more favorable in the Bay Area, many experts acknowledge that the highly contagious delta variant — along with other factors such as students returning to in-person education and less inclination by officials to rely on mitigation efforts like community lockdowns — makes it harder to predict what the near future holds.

Relatively high vaccination rates surely are helping the Bay Area weather this surge better than many other parts of the country, experts say. But they’re not yet high enough to stop delta and end the pandemic.

“There’s this recognition that we’re going to be living with this variant for a good while,” said Dr. John Swartzberg, an infectious disease expert at UC Berkeley.

“We got used to the roller coaster — it goes up, and then it goes down. But we’re not seeing it go down as fast this time. It may be things aren’t going to look good until quarter one” of 2022, he said. “On the other hand, you can compare to where we were a year ago — kids are back in schools. Football games are being played. The number of people dying is much lower than a year ago. The world was much more terrifying than it is today. The longer view looks encouraging.”

San Francisco Chronicle staff writers Mike Massa and Aidin Vaziri contributed to this report.

Erin Allday is a San Francisco Chronicle staff writer. Email: eallday@sfchronicle.com Twitter: @erinallday



Read original article here