Tag Archives: Encounters

Interim Effectiveness of Updated 2023–2024 (Monovalent XBB.1.5) COVID-19 Vaccines Against COVID-19–Associated Emergency Department and Urgent Care Encounters and Hospitalization Among Immunocompetent Adults Aged ≥18 Years — VISION an – CDC

  1. Interim Effectiveness of Updated 2023–2024 (Monovalent XBB.1.5) COVID-19 Vaccines Against COVID-19–Associated Emergency Department and Urgent Care Encounters and Hospitalization Among Immunocompetent Adults Aged ≥18 Years — VISION an CDC
  2. Monovalent XBB.1.5 vaccine shows 51% protection against COVID hospitalization University of Minnesota Twin Cities
  3. The fall COVID-19 shot’s effectiveness, and other respiratory virus news this week The Globe and Mail
  4. Latest COVID-19 vaccines reduce hospitalization risk by around half Healio
  5. Updated COVID-19 Vaccination Effective Against ED/Urgent Care Encounters HealthDay

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Gilgo Beach killings: Sex workers describe encounters with Rex Heuermann – CNN

  1. Gilgo Beach killings: Sex workers describe encounters with Rex Heuermann CNN
  2. 2 sex workers describe ‘violent’ encounters with Gilgo Beach suspect, official says Yahoo! Voices
  3. Suffolk County Sheriff Errol Toulon Jr. visits Newsday to talk Gilgo Newsday
  4. Sex workers claim ‘violent’ encounters with suspected Gilgo Beach killer Rex Heuermann New York Post
  5. Rex Heuermann got ‘violent & aggressive’ with 2 sex workers in ‘frightening’ encounters with Gilgo Beach mu… The US Sun
  6. View Full Coverage on Google News

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‘Talk To Me’ Directors Danny & Michael Philippou Talk Sequel Ideas, Plans For ‘Street Fighter’ Flick, “Twin Telepathy,” Imposter Syndrome In Encounters With Filmmaking Heroes & More – The Deadline Q&A – Deadline

  1. ‘Talk To Me’ Directors Danny & Michael Philippou Talk Sequel Ideas, Plans For ‘Street Fighter’ Flick, “Twin Telepathy,” Imposter Syndrome In Encounters With Filmmaking Heroes & More – The Deadline Q&A Deadline
  2. ‘Talk To Me’ review: give this hair-raising debut horror a hand NME
  3. REVIEW: Talk To Me is the Best Horror Film of 2023 CBR – Comic Book Resources
  4. ‘Talk to Me’ Is the First Horror Movie to F*** Me Up in a Long Time Collider
  5. Talk to Me review: scary party-game horror from A24 Digital Trends
  6. View Full Coverage on Google News

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More sex workers report encounters with Gilgo Beach suspect Rex Heuermann: sheriff – New York Post

  1. More sex workers report encounters with Gilgo Beach suspect Rex Heuermann: sheriff New York Post
  2. More women coming forward claiming connections with Gilgo Beach murders suspect, sheriff says CBS News
  3. Gilgo Beach suspect Rex Heuermann’s estranged wife screams at reporters as she and kids return to LI home New York Post
  4. Drivers say they were ticketed for slowing down near Rex Heuermann’s Massapequa Park home News 12 Bronx
  5. Inside ‘Long Island Serial Killer’ Rex Heuermann’s Years of Crime: ‘Predator That Ruined Families’ Yahoo Entertainment
  6. View Full Coverage on Google News

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Neighbors of dwarf Natalia Grace reveal disturbing encounters – Daily Mail

  1. Neighbors of dwarf Natalia Grace reveal disturbing encounters Daily Mail
  2. Questions face family that claimed they adopted adult ‘masquerading’ as 6-year-old: lawyer Fox News
  3. Watch ‘The Curious Case of Natalia Grace’ premiere for free, live stream and on demand without cable (5/29/23) OregonLive
  4. The It List: Sydney Sweeney plays a real-life whistleblower in ‘Reality,’ new docuseries unravels bizarre mystery of adopted Natalia Grace, Sundance breakout ‘Past Lives’ arrives in theaters and all the best in pop culture the week of May 29, 2023 Yahoo Entertainment
  5. Dad of adopted ‘child’ recalls signs he knew she was actually a 22-year-old woman Tyla
  6. View Full Coverage on Google News

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Melinda Dillon, Who Appeared in ‘A Christmas Story,‘ ‘Close Encounters of the Third Kind,’ Dies at 83 – Variety

  1. Melinda Dillon, Who Appeared in ‘A Christmas Story,‘ ‘Close Encounters of the Third Kind,’ Dies at 83 Variety
  2. Melinda Dillon, ‘Close Encounters,’ ‘A Christmas Story’ star, dead at 83 New York Post
  3. Melinda Dillon, Actress in ‘Close Encounters of the Third Kind’ and ‘A Christmas Story,’ Dies at 83 Hollywood Reporter
  4. Oscar nominee Melinda Dillon has passed away at 83 after a legendary career in Hollywood Daily Mail
  5. Who was Melinda Dillon’s ex-husband Richard Libertini?… The US Sun
  6. View Full Coverage on Google News

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Asteroid 2023 BU about to pass Earth in one of closest ever encounters | Asteroids

An asteroid the size of a delivery truck will pass Earth in one of the closest such encounters ever recorded – coming within a tenth of the distance of most communication satellites’ orbit.

Nasa said the newly discovered asteroid would pass 2,200 miles (3,600km) above the southern tip of South America at 7.27pm US eastern time on Thursday (12.27am GMT on Friday).

Nasa said it would be a near miss with no chance of hitting Earth. Even if it came a lot closer, scientists said most of it would burn up in the atmosphere, with bigger pieces possibly falling as meteorites.

Nasa’s impact hazard assessment system, called Scout, quickly ruled out a strike, said its developer, Davide Farnocchia, an engineer at the agency’s Jet Propulsion Laboratory in Pasadena, California.

“But despite the very few observations, it was nonetheless able to predict that the asteroid would make an extraordinarily close approach with Earth,” Farnocchia said. “In fact, this is one of the closest approaches by a known near-Earth object ever recorded.”

Discovered on Saturday, the asteroid known as 2023 BU is believed to be between 11ft (3.5m) and 28ft (8.5m) across.

It was first spotted by the same amateur astronomer in Crimea, Gennady Borisov, who discovered an interstellar comet in 2019. Within a few days, dozens of observations were made by astronomers around the world, allowing them to refine the asteroid’s path.

That path will be altered by drastically by Earth’s gravity as it passes. Instead of circling the sun every 359 days, it will move into an oval orbit lasting 425 days, according to Nasa.

With Associated Press

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Asteroid 2023 BU about to pass Earth in one of closest ever encounters | Asteroids

An asteroid the size of a delivery truck will pass Earth in one of the closest such encounters ever recorded – coming within a tenth of the distance of most communication satellites’ orbit.

Nasa said the newly discovered asteroid would pass 2,200 miles (3,600km) above the southern tip of South America at 7.27pm US eastern time on Thursday (12.27am GMT on Friday).

Nasa said it would be a near miss with no chance of hitting Earth. Even if it came a lot closer, scientists said most of it would burn up in the atmosphere, with bigger pieces possibly falling as meteorites.

Nasa’s impact hazard assessment system, called Scout, quickly ruled out a strike, said its developer, Davide Farnocchia, an engineer at the agency’s Jet Propulsion Laboratory in Pasadena, California.

“But despite the very few observations, it was nonetheless able to predict that the asteroid would make an extraordinarily close approach with Earth,” Farnocchia said. “In fact, this is one of the closest approaches by a known near-Earth object ever recorded.”

Discovered on Saturday, the asteroid known as 2023 BU is believed to be between 11ft (3.5m) and 28ft (8.5m) across.

It was first spotted by the same amateur astronomer in Crimea, Gennady Borisov, who discovered an interstellar comet in 2019. Within a few days, dozens of observations were made by astronomers around the world, allowing them to refine the asteroid’s path.

That path will be altered by drastically by Earth’s gravity as it passes. Instead of circling the sun every 359 days, it will move into an oval orbit lasting 425 days, according to Nasa.

With Associated Press

Read original article here

Don’t look up: Close encounters of the disaster movie kind

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CNN
 — 

There’s a giant rock ahead.

This is not a movie. Or a drill.

But don’t worry. Apparently, we’ve got this. Or at least NASA does.

On Monday, the Double Asteroid Redirection Test, or DART, spacecraft is supposed to collide with Dimorphos, a small “moon” orbiting the near-Earth asteroid Didymos. NASA’s big idea here is to see whether using such unmanned hardware to nudge incoming space debris out of harm’s way is going to protect Earth in the future.

It’s admirable but somehow feels a little deflating after decades of what I call “Chicken Little” movies, where humankind is threatened from above by cosmic clutter that can’t be reasoned away except through drastic means.

You know the routine. Somebody finds unmistakable evidence of a) an asteroid, b) a meteor, c) a comet, d) a rogue moon or e) a whole planet closing in on us. Who believes these warnings? Exactly nobody, until the skies are riddled with speeding debris sliding and shooting off the looming object. Then we either a) panic, b) submit or c) fly some of our own humans up there to save us all.

Take the most recent example of this subgenre, “Don’t Look Up.” Released last year in theaters and on Netflix, writer-director Adam McKay’s unruly political satire is set off by two Michigan State University astronomers (Jennifer Lawrence and Leonardo DiCaprio) who discover a comet that seems to have popped out of nowhere and within six months will collide with our planet hard enough to extinguish all life.

Their findings initially set off incredulity and even ridicule from the government and media. But once the inevitability sets in, the world in general and the United States specifically engage the crisis the way they seem to engage in everything else in the 21st century: narcissism, denial and blame of all the wrong people. It’s enough to make you think the world as we know it already ended before it does.

Looming apocalypse has always been a workable metaphor for our seemingly inescapable folly. (Paging “Dr. Strangelove”?) But we weren’t always so cynical about facing natural disasters from space. As recently as the turn of this century, we were so solemn and single-mindedly gung ho about our capabilities to engage perils from above that it was sometimes, well, laughable.

In 1998, multiplexes had not one, but two big, fat “Chicken Little” blockbusters: Michael Bay’s “Armageddon” and Mimi Leder’s “Deep Impact.”

The former, whose threat was a Texas-size asteroid, was a crowded, bombastic action thriller, rippling with broad humor and even broader set pieces with barely enough time for audience members to catch their breath.

The latter movie, whose threat was, as with “Don’t Look Up,” a comet, was a more earnest, conscientiously assembled and far less flustered variation on this theme.

Both did well at the box office, though Bey’s bombastic epic earned about $554 million, while Leder’s more ruminative thrill ride picked up roughly $350 million, according to the website Box Office Mojo.

“Armageddon” deals with the danger by setting up a couple of space shuttles (remember them?) crewed by crack oil-drilling teams, the crack-iest of whom is Bruce Willis, neck-deep in John Wayne mode, as Harry Stamper. His motley support comes from, among others, Billy Bob Thornton (by far the coolest cat in the room as a NASA exec), Steve Buscemi, Will Patton, Michael Clarke Duncan, William Fichtner, Peter Stormare (uproarious as the only guy left on a Russian space station), Ben Affleck (who’s been dating Willis’ daughter to dad’s violent displeasure) and Liv Tyler (the daughter).

The complications and idiosyncrasies of these and other characters swirl around long enough to take our minds off watching parts of Manhattan and all of Paris being leveled by pieces of the asteroid.

“Deep Impact’s” central character is an investigative TV reporter (Téa Leoni), who thinks she’s caught a Cabinet member in a sex scandal but finds out that the US President (Morgan Freeman, of course) is about to announce that the aforementioned comet is on a yearlong collision course with Earth. They try everything, including a space shuttle commanded by Robert Duvall loaded with nukes, to deflect the comet’s trajectory.

So, in which version of impending extinction do we get to go on with our lives? That would spoil things for those who haven’t seen either movie. All we feel safe in disclosing is that the science in “Deep Impact” is far more reliable and trustworthy than in “Armageddon.” Or for that matter in “Don’t Look Up.” Draw your own conclusions from that.

By the way, I bet you’re wondering whether a feature-length “Chicken Little” movie was ever made. There sure was, a digitally animated film released in 2005 by Disney (sans Pixar). This version starts with the title character getting plonked on the head by what he thinks is a piece of the sky. After panic sets in all around, the “piece of the sky” is identified as an acorn, making Chicken Little a laughingstock for months until he finds unexpected redemption by another, more ominous falling piece of an alien spaceship. All I’ll say here is that it sounds a lot more interesting than the movie turned out to be.

If the real-life DART succeeds in its mission, we may be able to chill out more when asteroids start coming too close. But that doesn’t necessarily mean the movies will altogether abandon “Chicken Little” themes.

After all, the reason why the original “The sky is falling!” phrase got passed down from generation to generation is that at some point the story turns on whether we earthlings believe or, worse, care that disaster may be imminent.

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Effectiveness of Homologous and Heterologous COVID-19 Booster Doses Following 1 Ad.26.COV2.S (Janssen [Johnson & Johnson]) Vaccine Dose Against COVID-19–Associated Emergency Department and Urgent Care Encounters and Hospitalizations Among Adults — VISION Network, 10 States, December 2021–March 2022

Karthik Natarajan, PhD1,2,*; Namrata Prasad, PhD3,4,*; Kristin Dascomb, MD5; Stephanie A. Irving, MHS6; Duck-Hye Yang, PhD7; Manjusha Gaglani, MBBS8,9; Nicola P. Klein, MD10; Malini B. DeSilva, MD11; Toan C. Ong, PhD12; Shaun J. Grannis, MD13,14; Edward Stenehjem, MD5; Ruth Link-Gelles, PhD3; Elizabeth A. Rowley, DrPH7; Allison L. Naleway, PhD6; Jungmi Han1; Chandni Raiyani, MPH8; Gabriela Vazquez Benitez, PhD11; Suchitra Rao, MBBS12; Ned Lewis, MPH10; William F. Fadel, PhD13,15; Nancy Grisel, MPP5; Eric P. Griggs, MPH3; Margaret M. Dunne, MSc7; Melissa S. Stockwell, MD2,16,17; Mufaddal Mamawala, MBBS8; Charlene McEvoy, MD11; Michelle A. Barron, MD12; Kristin Goddard, MPH10; Nimish R. Valvi, DrPH13; Julie Arndorfer, MPH5; Palak Patel, MBBS3; Patrick K Mitchell, ScD7; Michael Smith8; Anupam B. Kharbanda, MD18; Bruce Fireman10; Peter J. Embi, MD13,19; Monica Dickerson3; Jonathan M. Davis, PhD7; Ousseny Zerbo, PhD10; Alexandra F. Dalton, PhD3; Mehiret H. Wondimu, MPH3; Eduardo Azziz-Baumgartner, MD3; Catherine H. Bozio, PhD3; Sue Reynolds, PhD3; Jill Ferdinands, PhD3; Jeremiah Williams, MPH3; Stephanie J. Schrag, DPhil3; Jennifer R. Verani, MD3; Sarah Ball, ScD7; Mark G. Thompson, PhD3; Brian E. Dixon, PhD13,15 (View author affiliations)

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Summary

What is already known about this topic?

Little is known about vaccine effectiveness (VE) of different booster strategies following Ad.26.COV2.S (Janssen [Johnson & Johnson]) vaccination, especially during Omicron variant predominance.

What is added by this report?

VE against COVID-19–associated emergency department/urgent care visits was 24% after 1 Jansen dose, 54% after 2 Jansen doses, and 79% after 1 Janssen/1 mRNA dose, compared to 83% after 3 mRNA doses. VE for the same strategies against COVID-19–associated hospitalization was 31%, 67%, 78%, and 90% respectively.

What are the implications for public health practice?

All eligible persons should receive recommended COVID-19 booster doses to prevent moderate to severe COVID-19. Adult Janssen primary vaccine recipients should preferentially receive a heterologous mRNA vaccine booster dose ≥2 months later.

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CDC recommends that all persons aged ≥18 years receive a single COVID-19 vaccine booster dose ≥2 months after receipt of an Ad.26.COV2.S (Janssen [Johnson & Johnson]) adenovirus vector-based primary series vaccine; a heterologous COVID-19 mRNA vaccine is preferred over a homologous (matching) Janssen vaccine for booster vaccination. This recommendation was made in light of the risks for rare but serious adverse events following receipt of a Janssen vaccine, including thrombosis with thrombocytopenia syndrome and Guillain-Barré syndrome (1), and clinical trial data indicating similar or higher neutralizing antibody response following heterologous boosting compared with homologous boosting (2). Data on real-world vaccine effectiveness (VE) of different booster strategies following a primary Janssen vaccine dose are limited, particularly during the period of Omicron variant predominance. The VISION Network§ determined real-world VE of 1 Janssen vaccine dose and 2 alternative booster dose strategies: 1) a homologous booster (i.e., 2 Janssen doses) and 2) a heterologous mRNA booster (i.e., 1 Janssen dose/1 mRNA dose). In addition, VE of these booster strategies was compared with VE of a homologous booster following mRNA primary series vaccination (i.e., 3 mRNA doses). The study examined 80,287 emergency department/urgent care (ED/UC) visits and 25,244 hospitalizations across 10 states during December 16, 2021–March 7, 2022, when Omicron was the predominant circulating variant.** VE against laboratory-confirmed COVID-19–associated ED/UC encounters was 24% after 1 Janssen dose, 54% after 2 Janssen doses, 79% after 1 Janssen/1 mRNA dose, and 83% after 3 mRNA doses. VE for the same vaccination strategies against laboratory-confirmed COVID-19–associated hospitalizations were 31%, 67%, 78%, and 90%, respectively. All booster strategies provided higher protection than a single Janssen dose against ED/UC visits and hospitalizations during Omicron variant predominance. Vaccination with 1 Janssen/1 mRNA dose provided higher protection than did 2 Janssen doses against COVID-19–associated ED/UC visits and was comparable to protection provided by 3 mRNA doses during the first 120 days after a booster dose. However, 3 mRNA doses provided higher protection against COVID-19–associated hospitalizations than did other booster strategies during the same time interval since booster dose. All adults who have received mRNA vaccines for their COVID-19 primary series vaccination should receive an mRNA booster dose when eligible. Adults who received a primary Janssen vaccine dose should preferentially receive a heterologous mRNA vaccine booster dose ≥2 months later, or a homologous Janssen vaccine booster dose if mRNA vaccine is contraindicated or unavailable. Further investigation of the durability of protection afforded by different booster strategies is warranted.

VISION Network methods have been previously published (3). Across 306 ED/UC clinics and 164 hospitals from 10 states, all medical encounters among adults aged ≥18 years with a COVID-19–like illness diagnosis†† who had received molecular testing (primarily with reverse transcription–polymerase chain reaction) for SARS-CoV-2 during the 14 days before through 72 hours after the medical encounter were considered eligible. The study period began on the earliest day the Omicron variant accounted for ≥50% of sequenced isolates at each site based on state and national surveillance data (state range = December 16–26, 2021). Vaccination status was categorized based on number and type of vaccine doses received (1 Janssen dose, 2 Janssen doses, 1 Janssen/1 mRNA dose, and 3 mRNA doses§§). Patients with no record of vaccination were considered unvaccinated. Because a booster dose following a primary Janssen dose was recommended on October 15, 2021, to ensure accurate comparisons across booster strategies, patients vaccinated with a booster dose >120 days before the index date¶¶ were excluded. In addition, patients were excluded if they 1) received only 1 or 2 primary mRNA vaccine doses or >3 mRNA vaccine doses, or received >2 mRNA doses following a primary Janssen dose; 2) received the first Janssen dose 1–13 days earlier or a booster dose 1–6 days earlier; or 3) received a booster dose following a primary Janssen dose earlier than the recommended interval (<2 months after dose 1) or an mRNA booster dose earlier than the recommended interval (<5 months after dose 2).***

Using a test-negative design, investigators estimated VE by comparing the odds of a positive SARS-CoV-2 test result between vaccinated and unvaccinated patients using multivariable logistic regression models (3,4). Models were adjusted using inverse propensity to be vaccinated weights (calculated separately for each VE estimate) and with age, calendar week of index date, geographic area, local virus circulation (percentage of SARS-CoV-2–positive results from testing within the counties surrounding the facility on the date of the encounter), patient comorbidities including immunocompromise††† (4), and factors not balanced by propensity to be vaccinated included as covariates.§§§ A statistically significant difference was indicated by nonoverlapping 95% CIs or standardized mean or proportion differences ≥0.2, indicating nonnegligible difference in distributions of vaccination or infection status. All statistical analyses were conducted using R software (version 4.1.2; R Foundation). This study was reviewed and approved by the institutional review boards at participating sites or under a reliance agreement with the Westat, Inc. institutional review board.¶¶¶

The study included 80,287 encounters among patients with COVID-19–like illness seeking care at ED/UC facilities (Table 1); 64.8% were unvaccinated, 5.6% had received 1 Janssen dose, 0.6% had received 2 Janssen doses, 1.6% had received 1 Jansen/1 mRNA dose, and 27.4% had received 3 mRNA doses. Among booster strategies, the median interval between receipt of the most recent dose and the ED/UC encounter ranged from 49 to 59 days.

Overall, VE against laboratory-confirmed COVID-19–associated ED/UC encounters was significantly higher among patients who had received any booster dose (range = 54%–83%) compared with those who had received only 1 Janssen dose (24%) (Table 2). Among booster strategies, VE against laboratory-confirmed COVID-19–associated ED/UC encounters was significantly higher among patients who had received 1 Janssen/1 mRNA (79%) or 3 mRNA doses (83%) than among patients who had received 2 Janssen doses (54%).

The study included 25,244 hospitalizations among patients with COVID-19–like illness (Table 3); 61.1% were unvaccinated, 5.7% had received 1 Janssen dose, 0.6% had received 2 Janssen doses, 1.5% had received 1 Janssen/1 mRNA dose, and 31.0% had received 3 mRNA doses. Among booster strategies, the median interval between receipt of the most recent dose and hospitalization ranged from 48 to 59 days.

Overall, VE against laboratory-confirmed COVID-19–associated hospitalization was significantly higher among patients who had received any booster dose (range = 67%–90%) compared with patients who had received 1 Janssen dose (31%) (Table 2). Among booster strategies, VE against hospitalizations was significantly higher among patients who had received 3 mRNA doses (90%). VE against hospitalizations was 78% after 1 Janssen/1 mRNA dose and 67% after 2 Janssen doses; however, CIs overlapped.

Discussion

In a multivariate analysis of 80,287 ED/UC encounters and 25,244 hospitalizations among adults with COVID-19–like illness during Omicron variant predominance, VE for all booster strategies against ED/UC encounters and hospitalizations were higher than VE after 1 Janssen dose. Against ED/UC visits, the VE of a 1 Janssen/1 mRNA booster strategy was higher than that of 2 Janssen doses (79% versus 54%) and provided similar protection to 3 mRNA doses (2 primary mRNA doses followed by a homologous booster dose) (83%). Against hospitalizations, VE following 3 mRNA doses (90%) was higher than that following 1 Janssen/1 mRNA dose (78%) or 2 Janssen doses (67%).

The finding that a 1 Janssen/1 mRNA booster strategy had higher effectiveness than 2 Janssen doses against ED/UC visits and provided similar protection to 3 mRNA doses is consistent with data from a cohort study among U.S. veterans that indicated higher protection from 1 Janssen/1 mRNA dose against documented Omicron infection compared with 2 Janssen doses (5), as well as data from a recent test-negative design study that found both 1 Janssen/1 mRNA and 3 mRNA doses to have comparable effectiveness against symptomatic Omicron infection (CDC, unpublished data, 2022). This study adds to these findings by providing timely data on VE of different booster strategies against medically attended COVID-19–associated events from multiple health care systems and geographic regions of the U.S.

The findings in this report are subject to at least five limitations. First, among booster strategies, the median interval from receipt of most recent dose to medical event was 48–59 days and at most 120 days; thus, the observed effectiveness of these strategies is limited to a relatively short period after vaccination. Previous analysis within the VISION network identified waning of 3-mRNA–dose VE with increasing time since vaccination (6); continual investigations on the durability of protection provided by different booster strategies are warranted. Second, the small number of Janssen vaccine recipients reduced the precision of VE estimates across both primary series and booster strategy groups. The small number of recipients also precluded estimation of VE stratified by demographic factors including age and race, or assessment for potential effect modification due to underlying conditions, including immunocompromise; however, sensitivity analysis limited to immunocompetent persons found no significant change in results. Third, although adjustments to account for differences between unvaccinated and vaccinated persons were made, they did not account for differences among persons vaccinated with different strategies. In addition, residual bias might exist from misclassification or incomplete ascertainment of data on the presence of immunocompromise, other health conditions, vaccination status, and unmeasured behaviors (e.g., mask use and close contact with persons with COVID-19). Fourth, genetic characterization of viral variants causing infection among patients was not available, and analyses relied on dates when the Omicron variant became locally predominant based on surveillance data; therefore, the early phase of Omicron variant predominance in this study likely includes some medical encounters associated with the B.1.617.2 (Delta) variant. Finally, although the facilities in this study serve heterogeneous populations in 10 states, the findings might not be generalizable to the entire U.S. population.

These findings underscore the importance of receiving recommended COVID-19 booster doses, when eligible, to prevent moderate to severe COVID-19 during Omicron variant predominance. All adults who have received mRNA vaccines for their COVID-19 primary series vaccination should receive an mRNA booster dose when they are eligible. Adults who received a Janssen vaccine as their first dose should preferentially receive a heterologous mRNA vaccine booster dose ≥2 months later, or a homologous Janssen vaccine booster dose if mRNA vaccine is contraindicated or unavailable.


1Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, New York; 2NewYork-Presbyterian Hospital, New York, New York; 3CDC COVID-19 Emergency Response Team; 4Epidemic Intelligence Service, CDC; 5Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City, Utah; 6Center for Health Research, Kaiser Permanente Northwest, Portland, Oregon; 7Westat, Rockville, Maryland; 8Baylor Scott & White Health, Temple, Texas; 9Texas A&M University College of Medicine, Temple, Texas; 10Kaiser Permanente Vaccine Study Center, Kaiser Permanente Northern California Division of Research, Oakland, California; 11HealthPartners Institute, Minneapolis, Minnesota; 12School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado; 13Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, Indiana; 14Indiana University School of Medicine, Indianapolis, Indiana; 15Fairbanks School of Public Health, Indiana University, Indianapolis, Indiana; 16Division of Child and Adolescent Health, Department of Pediatrics, Columbia University Vagelos College of Physicians and Surgeons, New York, New York; 17Department of Population and Family Health, Columbia University Mailman School of Public Health, New York, New York; 18Children’s Minnesota, Minneapolis, Minnesota; 19Vanderbilt University Medical Center, Nashville, Tennessee.

References

  1. Oliver SE, Wallace M, See I, et al. Use of the Janssen (Johnson & Johnson) COVID-19 vaccine: updated interim recommendations from the Advisory Committee on Immunization Practices—United States, December 2021. MMWR Morb Mortal Wkly Rep 2022;71:90–5. https://doi.org/10.15585/mmwr.mm7103a4external icon PMID:35051137external icon
  2. Atmar RL, Lyke KE, Deming ME, et al.; DMID 21-0012 Study Group. Homologous and heterologous Covid-19 booster vaccinations. N Engl J Med 2022;386:1046–57. https://doi.org/10.1056/NEJMoa2116414external icon PMID:35081293external icon
  3. 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
  4. Embi PJ, Levy ME, Naleway AL, et al. Effectiveness of 2-dose vaccination with mRNA COVID-19 vaccines against COVID-19–associated hospitalizations among immunocompromised adults—nine states, January–September 2021. MMWR Morb Mortal Wkly Rep 2021;70:1553–9. https://doi.org/10.15585/mmwr.mm7044e3external icon PMID:34735426external icon
  5. Mayr FB, Talisa VB, Shaikh O, Yende S, Butt AA. Effectiveness of homologous or heterologous Covid-19 boosters in veterans. N Engl J Med 2022. Epub February 9, 2022. https://doi.org/10.1056/NEJMc2200415external icon PMID:35139265external icon
  6. 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 2022;71:255–63. https://doi.org/10.15585/mmwr.mm7107e2external icon PMID:35176007external icon
TABLE 1. Characteristics of emergency department and urgent care encounters among adults with COVID-19–like illness,* by COVID-19 vaccination status and SARS-CoV-2 test result — 10 states, December 2021–March 2022§
Characteristic Total no. (column %) No. (row %) SMD No. (row %) SMD
Unvaccinated 1 Janssen dose
(≥14 days)
2 Janssen doses
(7–120 days)
1 Janssen/1 mRNA dose
(7–120 days)
3 mRNA doses
(7–120 days)
Positive SARS-CoV-2 test result
All ED/UC events 80,287 (100.0) 52,025 (64.8) 4,514 (5.6) 467 (0.6) 1,271 (1.6) 22,010 (27.4) 28,127 (35.0)
Month and year
Dec 2021 17,474 (21.8) 12,431 (71.1) 1,038 (5.9) 60 (0.3) 200 (1.1) 3,745 (21.4) 0.34 5,785 (33.1) 0.48
Jan 2022 45,444 (56.6) 30,812 (67.8) 2,620 (5.8) 242 (0.5) 654 (1.4) 11,116 (24.5) 19,358 (42.6)
Feb 2022 16,592 (20.7) 8,625 (52.0) 806 (4.9) 157 (0.9) 384 (2.3) 6,620 (39.9) 2,953 (17.8)
Mar 2022 777 (1.0) 157 (20.2) 50 (6.4) 8 (1.0) 33 (4.2) 529 (68.1) 31 (4.0)
Site
Baylor Scott & White Health 22,536 (28.1) 18,806 (83.4) 1,068 (4.7) 41 (0.2) 166 (0.7) 2,455 (10.9) 0.89 10,483 (46.5) 0.39
Columbia University** 1,627 (2.0) 1,201 (73.8) 70 (4.3) 8 (0.5) 20 (1.2) 328 (20.2) 453 (27.8)
HealthPartners** 404 (0.5) 194 (48.0) 36 (8.9) 3 (0.7) 15 (3.7) 156 (38.6) 156 (38.6)
Intermountain Healthcare 18,469 (23.0) 10,657 (57.7) 1,227 (6.6) 117 (0.6) 427 (2.3) 6,041 (32.7) 5,198 (28.1)
Kaiser Permanente Northern California 13,958 (17.4) 4,366 (31.3) 970 (6.9) 192 (1.4) 387 (2.8) 8,043 (57.6) 3,200 (22.9)
Kaiser Permanente Northwest 5,448 (6.8) 2,729 (50.1) 370 (6.8) 53 (1.0) 112 (2.1) 2,184 (40.1) 1,954 (35.9)
Regenstrief Institute 10,975 (13.7) 8,443 (76.9) 500 (4.6) 42 (0.4) 117 (1.1) 1,873 (17.1) 3,954 (36.0)
University of Colorado 6,870 (8.6) 5,629 (81.9) 273 (4.0) 11 (0.2) 27 (0.4) 930 (13.5) 2,729 (39.7)
Age group, yrs
18–44 37,204 (46.3) 29,740 (79.9) 1,836 (4.9) 68 (0.2) 373 (1.0) 5,187 (13.9) 0.69 14,290 (38.4) 0.2
45–64 21,457 (26.7) 12,951 (60.4) 1,623 (7.6) 207 (1.0) 543 (2.5) 6,133 (28.6) 7,752 (36.1)
65–74 10,047 (12.5) 4,789 (47.7) 556 (5.5) 109 (1.1) 181 (1.8) 4,412 (43.9) 3,029 (30.1)
75–84 7,392 (9.2) 3,064 (41.5) 332 (4.5) 61 (0.8) 113 (1.5) 3,822 (51.7) 2,088 (28.2)
≥85 4,187 (5.2) 1,481 (35.4) 167 (4.0) 22 (0.5) 61 (1.5) 2,456 (58.7) 968 (23.1)
Sex
Male 33,623 (41.9) 22,216 (66.1) 2,032 (6.0) 206 (0.6) 519 (1.5) 8,650 (25.7) 0.05 12,313 (36.6) 0.06
Female 46,644 (58.1) 29,792 (63.9) 2,481 (5.3) 261 (0.6) 752 (1.6) 13,358 (28.6) 15,807 (33.9)
Other/Unknown 20 (—) 17 (85.0) 1 (5.0) 0 (—) 0 (—) 2 (10.0) 7 (35.0)
Race/Ethnicity
White, non-Hispanic 47,305 (58.9) 28,998 (61.3) 2,890 (6.1) 276 (0.6) 795 (1.7) 14,346 (30.3) 0.29 14,814 (31.3) 0.23
Hispanic 13,951 (17.4) 9,836 (70.5) 661 (4.7) 77 (0.6) 215 (1.5) 3,162 (22.7) 5,544 (39.7)
Black, non-Hispanic 10,365 (12.9) 8,185 (79.0) 517 (5.0) 49 (0.5) 117 (1.1) 1,497 (14.4) 4,623 (44.6)
Other, non-Hispanic 5,555 (6.9) 2,738 (49.3) 285 (5.1) 55 (1.0) 107 (1.9) 2,370 (42.7) 1,769 (31.8)
Unknown†† 3,111 (3.9) 2,268 (72.9) 161 (5.2) 10 (0.3) 37 (1.2) 635 (20.4) 1,377 (44.3)
Underlying respiratory condition at discharge§§
Chronic respiratory condition 13,761 (17.1) 8,448 (61.4) 859 (6.2) 107 (0.8) 241 (1.8) 4,106 (29.8) 0.09 4,516 (32.8) 0.04
None 66,526 (82.9) 43,577 (65.5) 3,655 (5.5) 360 (0.5) 1,030 (1.5) 17,904 (26.9) 23,611 (35.5)
Underlying nonrespiratory condition at discharge¶¶
Chronic nonrespiratory condition 22,917 (28.5) 13,466 (58.8) 1,417 (6.2) 177 (0.8) 448 (2.0) 7,409 (32.3) 0.19 6,953 (30.3) 0.13
None 57,370 (71.5) 38,559 (67.2) 3,097 (5.4) 290 (0.5) 823 (1.4) 14,601 (25.5) 21,174 (36.9)
Any likely immunocompromise status***
Yes 3,399 (4.2) 1,968 (57.9) 228 (6.7) 29 (0.9) 96 (2.8) 1,078 (31.7) 0.1 996 (29.3) 0.05
No 76,888 (95.8) 50,057 (65.1) 4,286 (5.6) 438 (0.6) 1,175 (1.5) 20,932 (27.2) 27,131 (35.3)
No. of days from most recent dose to index date, median (IQR) 262 (196–293) 59 (34–80) 49 (29–70) 57 (35–77)

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 (e.g., 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 infection occurring ≤14 days before to <72 hours after admission were included.
Vaccination status was categorized based on number and type of vaccine doses received 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 the medical event or the admission date if testing only occurred after admission. A primary Janssen vaccine dose was defined as 1 Janssen dose; a homologous booster dose following a primary Janssen dose was defined as 2 Janssen doses; a heterologous booster dose following a primary Janssen dose was defined as 1 Janssen/1 mRNA dose; a homologous booster dose following a primary mRNA series vaccination was defined as 3 mRNA doses.
§ Partners contributing data on medical events and estimated dates of Omicron variant 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).
An absolute SMD ≥0.20 indicates a nonnegligible difference in variable distributions between medical events for vaccinated versus unvaccinated patients and for positive versus negative test results. When calculating SMDs for differences in characteristics across COVID-19 vaccination status, investigators calculated SMD as the average of the absolute value of the SMD for unvaccinated versus each vaccination status category individually (1 Janssen, 2 Janssen, 1 Janssen/1 mRNA, and 3 mRNA 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 in-network hospital.
†† Unknown race/ethnicity includes Asian, Native Hawaiian or other Pacific islander, American Indian or Alaska Native, other not listed, and multiple races.
§§ Underlying respiratory condition at discharge was defined as the presence of ICD-9 and ICD-10 discharge codes for asthma, chronic obstructive pulmonary disease, or other lung disease.
¶¶ Underlying nonrespiratory condition at discharge was defined as the presence of ICD-9 and ICD-10 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.
*** Immunocompromise status was defined as the presence of ICD-9 and ICD-10 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. Vaccine effectiveness* of 1 primary Janssen vaccine dose, homologous and heterologous boosters following primary Janssen vaccination, and 3 mRNA COVID-19 vaccine doses against laboratory-confirmed COVID-19–associated emergency department and urgent care encounters and hospitalizations among adults aged ≥18 years§ — VISION Network, 10 states, December 2021–March 2022
Medical event, vaccination status (days since most recent dose) Total Positive SARS-CoV-2 result, no. (%) VE %* (95% CI)
ED/UC events (N = 80,287)
Unvaccinated (Ref) 52,025 23,560 (45.3) Ref
1 Janssen dose ≥14 days earlier (median = 262 days [range = 196–293]) 4,514 1,652 (36.6) 24 (18–29)
2 Janssen doses (7–120 days) 467 135 (28.9) 54 (43–63)
1 Janssen/1 mRNA dose (7–120 days) 1,271 166 (13.1) 79 (74–82)
3 mRNA doses (7–120 days) 22,010 2,614 (11.9) 83 (82–84)
Hospitalizations (N = 25,244)
Unvaccinated (Ref) 15,424 7,271 (47.1) Ref
1 Janssen dose ≥14 days earlier (median = 264 days [range = 199–294]) 1,451 518 (35.7) 31 (21–40)
2 Janssen doses (7–120 days) 164 47 (28.7) 67 (52–77)
1 Janssen/1 mRNA dose (7–120 days) 373 59 (15.8) 78 (70–84)
3 mRNA doses (7–120 days) 7,832 775 (9.9) 90 (88–91)

Abbreviations: ED = emergency department; UC = urgent care; Ref = referent group; VE = vaccine effectiveness.
* VE was calculated as [1 − odds ratio] x 100%. Odds ratios were estimated using multivariable logistic regression. Models were adjusted using inverse propensity to be vaccinated (weights calculated separately for each VE estimate) and with age, calendar week of index date, geographic area, local virus circulation (percentage of SARS-CoV-2–positive results from testing within the counties surrounding the facility on the date of the encounter), patient comorbidities including immunocompromise, and factors not balanced by propensity to be vaccinated included as covariates. Of the variables included in the propensity score, previous SARS-CoV-2 testing and test positivity were not balanced after applying inverse propensity weights and thus were added to covariates included in the adjusted VE model.
Vaccination status was categorized based on number and type of vaccine doses received 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 the medical event or the admission date if testing only occurred after admission. A primary Janssen dose was defined as 1 Janssen dose; a homologous booster dose following a primary Janssen dose was defined as 2 Janssen doses; a heterologous booster dose following a primary Janssen dose was defined as 1 Janssen/1 mRNA dose; a homologous booster dose following a primary mRNA series vaccination was defined as 3 mRNA doses.
§ 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 (e.g., 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 infection occurring ≤14 days before to <72 hours after admission were included.
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).

TABLE 3. Characteristics of hospitalizations among adults with COVID-19–like illness,* by COVID-19 vaccination status and SARS-CoV-2 test result — 10 states, December 2021– March 2022§
Characteristic Total no. (column %) No. (row %) SMD No. (row %) SMD
Unvaccinated 1 Janssen dose
(≥14 days)
2 Janssen doses
(7–120 days)
1 Janssen/1 mRNA dose
(7–120 days)
3 mRNA doses
(7–120 days)
Positive SARS-CoV-2 test result
All hospitalizations 25,244 (100.0) 15,424 (61.1) 1,451 (5.7) 164 (0.6) 373 (1.5) 7,832 (31.0) 8,670 (34.3)
Month and year
Dec 2021 4,728 (18.7) 3,048 (64.5) 308 (6.5) 29 (0.6) 46 (1.0) 1,297 (27.4) 0.21 1,370 (29.0) 0.41
Jan 2022 15,067 (59.7) 9,631 (63.9) 875 (5.8) 97 (0.6) 206 (1.4) 4,258 (28.3) 6,208 (41.2)
Feb 2022 5,438 (21.5) 2,744 (50.5) 266 (4.9) 38 (0.7) 120 (2.2) 2,270 (41.7) 1,092 (20.1)
Mar 2022 11 (—) 1 (9.1) 2 (18.2) 0 (—) 1 (9.1) 7 (63.6) 0 (—)
Site
Baylor Scott & White Health 6,777 (26.8) 5,198 (76.7) 390 (5.8) 15 (0.2) 77 (1.1) 1,097 (16.2) 0.77 2,523 (37.2) 0.18
Columbia University 894 (3.5) 579 (64.8) 65 (7.3) 8 (0.9) 16 (1.8) 226 (25.3) 354 (39.6)
HealthPartners 38 (0.2) 9 (23.7) 5 (13.2) 0 (—) 1 (2.6) 23 (60.5) 9 (23.7)
Intermountain Healthcare 2,408 (9.5) 1,288 (53.5) 133 (5.5) 20 (0.8) 57 (2.4) 910 (37.8) 730 (30.3)
Kaiser Permanente Northern California 5,460 (21.6) 1,791 (32.8) 364 (6.7) 78 (1.4) 138 (2.5) 3,089 (56.6) 1,621 (29.7)
Kaiser Permanente Northwest 932 (3.7) 522 (56.0) 59 (6.3) 11 (1.2) 23 (2.5) 317 (34.0) 264 (28.3)
Regenstrief Institute 6,272 (24.8) 4,320 (68.9) 267 (4.3) 19 (0.3) 48 (0.8) 1,618 (25.8) 2,407 (38.4)
University of Colorado 2,463 (9.8) 1,717 (69.7) 168 (6.8) 13 (0.5) 13 (0.5) 552 (22.4) 762 (30.9)
Age group, yrs
18–44 3,976 (15.8) 3,241 (81.5) 203 (5.1) 5 (0.1) 41 (1.0) 486 (12.2) 0.43 1,353 (34.0) 0.13
45–64 7,334 (29.1) 5,046 (68.8) 517 (7.0) 58 (0.8) 158 (2.2) 1,555 (21.2) 2,814 (38.4)
65–74 5,813 (23.0) 3,268 (56.2) 347 (6.0) 49 (0.8) 78 (1.3) 2,071 (35.6) 1,967 (33.8)
75–84 4,971 (19.7) 2,490 (50.1) 249 (5.0) 36 (0.7) 63 (1.3) 2,133 (42.9) 1,621 (32.6)
≥85 3,150 (12.5) 1,379 (43.8) 135 (4.3) 16 (0.5) 33 (1.0) 1,587 (50.4) 915 (29.0)
Sex
Male 12,521 (49.6) 7,767 (62.0) 778 (6.2) 81 (0.6) 178 (1.4) 3,717 (29.7) 0.05 4,489 (35.9) 0.07
Female 12,720 (50.4) 7,655 (60.2) 673 (5.3) 83 (0.7) 195 (1.5) 4,114 (32.3) 4,180 (32.9)
Other/Unknown 3 (—) 2 (66.7) 0 (—) 0 (—) 0 (—) 1 (33.3) 1 (33.3)
Race/Ethnicity
White, non-Hispanic 15,834 (62.7) 9,288 (58.7) 910 (5.7) 94 (0.6) 229 (1.4) 5,313 (33.6) 0.22 5,061 (32.0) 0.16
Hispanic 3,311 (13.1) 2,200 (66.4) 200 (6.0) 24 (0.7) 48 (1.4) 839 (25.3) 1,344 (40.6)
Black, non-Hispanic 3,305 (13.1) 2,386 (72.2) 200 (6.1) 18 (0.5) 44 (1.3) 657 (19.9) 1,299 (39.3)
Other, non-Hispanic 1,841 (7.3) 906 (49.2) 95 (5.2) 24 (1.3) 37 (2.0) 779 (42.3) 608 (33.0)
Unknown** 953 (3.8) 644 (67.6) 46 (4.8) 4 (0.4) 15 (1.6) 244 (25.6) 358 (37.6)
Underlying respiratory condition at discharge††
Chronic respiratory condition 14,842 (58.8) 9,002 (60.7) 896 (6.0) 106 (0.7) 225 (1.5) 4,613 (31.1) 0.06 5,725 (38.6) 0.23
None 10,402 (41.2) 6,422 (61.7) 555 (5.3) 58 (0.6) 148 (1.4) 3,219 (30.9) 2,945 (28.3)
Underlying nonrespiratory condition at discharge§§
Chronic nonrespiratory condition 22,131 (87.7) 13,138 (59.4) 1,331 (6.0) 152 (0.7) 349 (1.6) 7,161 (32.4) 0.23 7,423 (33.5) 0.09
None 3,113 (12.3) 2,286 (73.4) 120 (3.9) 12 (0.4) 24 (0.8) 671 (21.6) 1,247 (40.1)
Any likely immunocompromise status¶¶
Yes 4,942 (19.6) 2,636 (53.3) 330 (6.7) 40 (0.8) 103 (2.1) 1,833 (37.1) 0.18 1,346 (27.2) 0.16
No 20,302 (80.4) 12,788 (63.0) 1,121 (5.5) 124 (0.6) 270 (1.3) 5,999 (29.5) 7,324 (36.1)
No. of days from most recent dose to index date, median (IQR) 264 (199–294) 52 (33–71) 48 (32–71) 59 (38–79)

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 (e.g., 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 infection occurring ≤14 days before to <72 hours after admission were included.
Vaccination status was categorized based on number and type of vaccine dose received 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 the medical event or the admission date if testing only occurred after admission. A primary Janssen vaccine dose was defined as 1 Janssen dose; a homologous booster dose following a primary Janssen dose was defined as 2 Janssen doses; a heterologous booster dose following a primary Janssen dose was defined as 1 Janssen/1 mRNA dose; a homologous booster dose following a primary mRNA series vaccination was defined as 3 mRNA doses.
§ Partners contributing data on medical events and estimated dates of Omicron variant 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).
An absolute SMD ≥0.20 indicates a nonnegligible difference in variable distributions between medical events for vaccinated versus unvaccinated patients and for positive versus negative test results. When calculating SMDs for differences in characteristics across COVID-19 vaccination status, investigators calculated the SMD as the average of the absolute value of the SMD for unvaccinated versus each vaccination status category individually (1 Janssen, 2 Janssen, 1 Janssen/1 mRNA, and 3 mRNA doses). All SMDs are reported as the absolute SMD.
** Unknown race/ethnicity includes Asian, Native Hawaiian or other Pacific islander, American Indian or Alaska Native, other not listed, and multiple races.
†† Underlying respiratory condition at discharge was defined as the presence of ICD-9 and ICD-10 discharge codes for asthma, chronic obstructive pulmonary disease, or other lung disease.
§§ Underlying nonrespiratory condition at discharge was defined as the presence of ICD-9 and ICD-10 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.
¶¶ Immunocompromise status was defined as the presence of ICD-9 and ICD-10 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: Natarajan K, Prasad N, Dascomb K, et al. Effectiveness of Homologous and Heterologous COVID-19 Booster Doses Following 1 Ad.26.COV2.S (Janssen [Johnson & Johnson]) Vaccine Dose Against COVID-19–Associated Emergency Department and Urgent Care Encounters and Hospitalizations Among Adults — VISION Network, 10 States, December 2021–March 2022. MMWR Morb Mortal Wkly Rep. ePub: 29 March 2022. DOI: http://dx.doi.org/10.15585/mmwr.mm7113e2external icon.


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