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Predictors of Severe Acute Respiratory Syndrome Coronavirus 2 Infection Following High-Risk Exposure.
Andrejko, Kristin L; Pry, Jake; Myers, Jennifer F; Openshaw, John; Watt, James; Birkett, Nozomi; DeGuzman, Jennifer L; Barbaduomo, Camilla M; Dong, Zheng N; Fang, Anna T; Frost, Paulina M; Ho, Timothy; Javadi, Mahsa H; Li, Sophia S; Tran, Vivian H; Wan, Christine; Jain, Seema; Lewnard, Joseph A.
  • Andrejko KL; Division of Epidemiology and Biostatistics, School of Public Health, University of California, Berkeley, California, USA.
  • Pry J; California Department of Public Health, Richmond, California, USA.
  • Myers JF; California Department of Public Health, Richmond, California, USA.
  • Openshaw J; California Department of Public Health, Richmond, California, USA.
  • Watt J; California Department of Public Health, Richmond, California, USA.
  • Birkett N; California Department of Public Health, Richmond, California, USA.
  • DeGuzman JL; California Department of Public Health, Richmond, California, USA.
  • Barbaduomo CM; California Department of Public Health, Richmond, California, USA.
  • Dong ZN; California Department of Public Health, Richmond, California, USA.
  • Fang AT; California Department of Public Health, Richmond, California, USA.
  • Frost PM; California Department of Public Health, Richmond, California, USA.
  • Ho T; California Department of Public Health, Richmond, California, USA.
  • Javadi MH; California Department of Public Health, Richmond, California, USA.
  • Li SS; California Department of Public Health, Richmond, California, USA.
  • Tran VH; California Department of Public Health, Richmond, California, USA.
  • Wan C; California Department of Public Health, Richmond, California, USA.
  • Jain S; California Department of Public Health, Richmond, California, USA.
  • Lewnard JA; Division of Epidemiology and Biostatistics, School of Public Health, University of California, Berkeley, California, USA.
Clin Infect Dis ; 75(1): e276-e288, 2022 08 24.
Article in English | MEDLINE | ID: covidwho-1709235
ABSTRACT

BACKGROUND:

Non-pharmaceutical interventions (NPIs) are recommended for COVID-19 prevention. However, the effectiveness of NPIs in preventing SARS-CoV-2 transmission remains poorly quantified.

METHODS:

We conducted a test-negative design case-control study enrolling cases (testing positive for SARS-CoV-2) and controls (testing negative) with molecular SARS-CoV-2 diagnostic test results reported to California Department of Public Health between 24 February-12 November, 2021. We used conditional logistic regression to estimate adjusted odds ratios (aORs) of case status among participants who reported contact with an individual known or suspected to have been infected with SARS-CoV-2 ("high-risk exposure") ≤14 days before testing.

RESULTS:

751 of 1448 cases (52%) and 255 of 1443 controls (18%) reported high-risk exposures ≤14 days before testing. Adjusted odds of case status were 3.02-fold (95% confidence interval 1.75-5.22) higher when high-risk exposures occurred with household members (vs. other contacts), 2.10-fold (1.05-4.21) higher when exposures occurred indoors (vs. outdoors only), and 2.15-fold (1.27-3.67) higher when exposures lasted ≥3 hours (vs. shorter durations) among unvaccinated and partially-vaccinated individuals; excess risk associated with such exposures was mitigated among fully-vaccinated individuals. Cases were less likely than controls to report mask usage during high-risk exposures (aOR = 0.50 [0.29-0.85]). The adjusted odds of case status was lower for fully-vaccinated (aOR = 0.25 [0.15-0.43]) participants compared to unvaccinated participants. Benefits of mask usage were greatest among unvaccinated and partially-vaccinated participants, and in interactions involving non-household contacts or interactions occurring without physical contact.

CONCLUSIONS:

NPIs reduced the likelihood of SARS-CoV-2 infection following high-risk exposure. Vaccine effectiveness was substantial for partially and fully vaccinated persons.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Diagnostic study / Observational study / Prognostic study Topics: Vaccines Limits: Humans Language: English Journal: Clin Infect Dis Journal subject: Communicable Diseases Year: 2022 Document Type: Article Affiliation country: Cid

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Diagnostic study / Observational study / Prognostic study Topics: Vaccines Limits: Humans Language: English Journal: Clin Infect Dis Journal subject: Communicable Diseases Year: 2022 Document Type: Article Affiliation country: Cid