Trends and Correlates of Breakthrough Infections With SARS-CoV-2.

COVID-19 COVID-19 vaccine COVID-19 vaccine efficacy breakthrough infection delta variant strain

Journal

Frontiers in public health
ISSN: 2296-2565
Titre abrégé: Front Public Health
Pays: Switzerland
ID NLM: 101616579

Informations de publication

Date de publication:
2022
Historique:
received: 17 01 2022
accepted: 04 04 2022
entrez: 27 5 2022
pubmed: 28 5 2022
medline: 31 5 2022
Statut: epublish

Résumé

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) delta variant has been hypothesized to decrease the efficacy of COVID-19 vaccines. Factors associated with infections with SARS-CoV-2 after vaccination are unknown. In this observational cohort study, we examined two groups in Harris County, Texas: (1) individuals with positive Nucleic Acid Amplification test between 12/14/2020 and 9/30/2021 and (2) the subset of individuals fully vaccinated in the same time period. Infected individuals were classified as a breakthrough if their infection occurred 14 days after their vaccination had been completed. Among fully vaccinated individuals, demographic and vaccine factors associated with breakthrough infections were assessed. Of 146,731 positive SARS-CoV-2 tests, 7.5% were breakthrough infections. Correlates of breakthrough infection included young adult age, female, White race, and receiving the Janssen vaccine, after adjustments including the amount of community spread at the time of infection. Vaccines remained effective in decreasing the probability of testing positive for SARS-CoV-2. The data indicate that increased vaccine booster uptake would help decrease new infections.

Identifiants

pubmed: 35619825
doi: 10.3389/fpubh.2022.856532
pmc: PMC9127615
doi:

Substances chimiques

COVID-19 Vaccines 0
Viral Vaccines 0

Types de publication

Journal Article Observational Study Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

856532

Subventions

Organisme : NIEHS NIH HHS
ID : P30 ES030285
Pays : United States

Informations de copyright

Copyright © 2022 Yamal, Appana, Wang, Leon-Novelo, Bakota, Ye, Sharma, Morrison, Marko, Linder, Rector, Jetelina, Boerwinkle and de Oliveira Otto.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Références

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Auteurs

Jose-Miguel Yamal (JM)

Department of Biostatistics and Data Science, The University of Texas Health Science Center at Houston (UTHealth) School of Public Health, Houston, TX, United States.

Savitri Appana (S)

Department of Biostatistics and Data Science, The University of Texas Health Science Center at Houston (UTHealth) School of Public Health, Houston, TX, United States.

Mengxi Wang (M)

Department of Biostatistics and Data Science, The University of Texas Health Science Center at Houston (UTHealth) School of Public Health, Houston, TX, United States.

Luis Leon-Novelo (L)

Department of Biostatistics and Data Science, The University of Texas Health Science Center at Houston (UTHealth) School of Public Health, Houston, TX, United States.

Eric Bakota (E)

The Office of Science, Surveillance, and Technology, Harris County Public Health, Houston, TX, United States.

Yuanqing Ye (Y)

The Office of Science, Surveillance, and Technology, Harris County Public Health, Houston, TX, United States.

Shreela Sharma (S)

Department of Epidemiology, Human Genetics and Environmental Sciences, The University of Texas Health Science Center at Houston (UTHealth) School of Public Health, Houston, TX, United States.

Alanna C Morrison (AC)

Department of Epidemiology, Human Genetics and Environmental Sciences, The University of Texas Health Science Center at Houston (UTHealth) School of Public Health, Houston, TX, United States.

Dritana Marko (D)

Department of Management, Policy and Community Health, Institute for Health Policy, The University of Texas Health Science Center at Houston (UTHealth) School of Public Health, San Antonio, TX, United States.

Stephen H Linder (SH)

Department of Management, Policy and Community Health, Institute for Health Policy, The University of Texas Health Science Center at Houston (UTHealth) School of Public Health, Houston, TX, United States.

Alison Rector (A)

Department of Biostatistics and Data Science, The University of Texas Health Science Center at Houston (UTHealth) School of Public Health, Houston, TX, United States.

Katelyn K Jetelina (KK)

Department of Epidemiology, Human Genetics and Environmental Sciences, The University of Texas Health Science Center at Houston (UTHealth) School of Public Health, Dallas, TX, United States.

Eric Boerwinkle (E)

Department of Epidemiology, Human Genetics and Environmental Sciences, The University of Texas Health Science Center at Houston (UTHealth) School of Public Health, Houston, TX, United States.

Marcia de Oliveira Otto (M)

Department of Epidemiology, Human Genetics and Environmental Sciences, The University of Texas Health Science Center at Houston (UTHealth) School of Public Health, Houston, TX, United States.

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Classifications MeSH