학술논문
Home testing for SARS-CoV-2 and impact on surveillance in New York State.
Document Type
Academic Journal
Author
Mitchell EC; New York State Department of Health, Empire State Plaza Corning Tower, Albany, NY 12237, USA. Electronic address: ethan.mitchell@health.ny.gov.; Nguyen T; New York State Department of Health, Empire State Plaza Corning Tower, Albany, NY 12237, USA.; Boulais M; New York State Department of Health, Empire State Plaza Corning Tower, Albany, NY 12237, USA.; Ravi Brenner I; New York State Department of Health, Empire State Plaza Corning Tower, Albany, NY 12237, USA.; Dorabawila V; New York State Department of Health, Empire State Plaza Corning Tower, Albany, NY 12237, USA.; Hoen R; New York State Department of Health, Empire State Plaza Corning Tower, Albany, NY 12237, USA.; Li Y; New York State Department of Health, Empire State Plaza Corning Tower, Albany, NY 12237, USA.; Cavazos M; RTI International, 3040 East Cornwallis Road, Research Triangle Park, NC 27709, USA.; Levine B; RTI International, 3040 East Cornwallis Road, Research Triangle Park, NC 27709, USA.; Anderson BJ; New York State Department of Health, Empire State Plaza Corning Tower, Albany, NY 12237, USA.; Battles H; New York State Department of Health, Empire State Plaza Corning Tower, Albany, NY 12237, USA.; Brissette I; New York State Department of Health, Empire State Plaza Corning Tower, Albany, NY 12237, USA.; Backenson B; New York State Department of Health, Empire State Plaza Corning Tower, Albany, NY 12237, USA.; Lutterloh E; New York State Department of Health, Empire State Plaza Corning Tower, Albany, NY 12237, USA.; Bauer UE; New York State Department of Health, Empire State Plaza Corning Tower, Albany, NY 12237, USA.; Rosenberg ES; New York State Department of Health, Empire State Plaza Corning Tower, Albany, NY 12237, USA.
Source
Publisher: Elsevier Country of Publication: United States NLM ID: 9100013 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-2585 (Electronic) Linking ISSN: 10472797 NLM ISO Abbreviation: Ann Epidemiol Subsets: MEDLINE
Subject
Language
English
Abstract
Purpose: 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).
Methods: We conducted an online survey among NYS residents and analyzed data from 1012 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 testing 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.
Results: 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 diagnosed SARS-CoV-2 infection July 1-December 31, 2022, compared to 1.1 million infections reported over the same period.
Conclusions: Most SARS-CoV-2 infections in NYS were diagnosed exclusively with home tests. Surveillance metrics using laboratory-based reporting data underestimate diagnosed infections.
Competing Interests: 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.
(Published by Elsevier Inc.)
Methods: We conducted an online survey among NYS residents and analyzed data from 1012 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 testing 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.
Results: 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 diagnosed SARS-CoV-2 infection July 1-December 31, 2022, compared to 1.1 million infections reported over the same period.
Conclusions: Most SARS-CoV-2 infections in NYS were diagnosed exclusively with home tests. Surveillance metrics using laboratory-based reporting data underestimate diagnosed infections.
Competing Interests: 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.
(Published by Elsevier Inc.)