Home testing for SARS-CoV-2 and impact on surveillance in New York State.
COVID-19
COVID-19 Testing
Public Health Surveillance
SARS-CoV-2
Journal
Annals of epidemiology
ISSN: 1873-2585
Titre abrégé: Ann Epidemiol
Pays: United States
ID NLM: 9100013
Informations de publication
Date de publication:
21 Nov 2023
21 Nov 2023
Historique:
received:
27
07
2023
revised:
20
10
2023
accepted:
20
11
2023
medline:
24
11
2023
pubmed:
24
11
2023
entrez:
23
11
2023
Statut:
aheadofprint
Résumé
To determine the distribution of diagnosed SARS-CoV-2 infections by testing modality (at-home rapid antigen (home tests) versus laboratory-based tests in clinical settings (clinical tests)), assess factors associated with clinical testing, and estimate the true total number of diagnosed infections in New York State (NYS). We conducted an online survey among NYS residents and analyzed data from 1,012 adults and 246 children with diagnosed infection July 13-December 7, 2022. Weighted descriptive and logistic regression model analyses were conducted. Weighted percentages and prevalence ratios by test modality were generated. The percent of infections diagnosed by clinical tests via survey data were synthesized with daily lab-reported results to estimate the total number of diagnosed SARS-CoV-2 infections in NYS July 1-December 31, 2022. Over 70% of SARS-CoV-2 infections in NYS during the study period were diagnosed exclusively with home tests. Diagnosis with a clinical test was associated with age, race/ethnicity, and region among adults, and sex, age, and education among children. We estimate 4.1 million NYS residents had SARS-CoV-2 infection July 1-December 31, 2022, compared to 1.1 million infections reported over the same period. Most SARS-CoV-2 infections in NYS were diagnosed exclusively by home tests. Surveillance metrics using laboratory-based reporting data underestimate diagnosed infections.
Identifiants
pubmed: 37995986
pii: S1047-2797(23)00216-8
doi: 10.1016/j.annepidem.2023.11.009
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Informations de copyright
Copyright © 2023. Published by Elsevier Inc.
Déclaration de conflit d'intérêts
Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.