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Seroprevalence of SARS-CoV-2-Specific IgG Antibodies Among Adults Living in Connecticut Between March 1 and June 1, 2020: Post-Infection Prevalence (PIP) Study
Shiwani Mahajan; Rajesh Srinivasan; Carrie A Redlich; Sara K Huston; Kelly M Anastasio; Lisa Cashman; Dorothy S Massey; Andrew Dugan; Dan Witters; Jenny Marlar; Shu-Xia Li; Zhenqiu Lin; Domonique Hodge; Manas Chattopadhyay; Mark D Adams; Charles Lee; Lokinendi V Rao; Chris Stewart; Karthik Kuppusamy; Albert I Ko; Harlan M Krumholz.
Affiliation
  • Shiwani Mahajan; Yale School of Medicine
  • Rajesh Srinivasan; The Gallup Organization
  • Carrie A Redlich; Yale School of Medicine
  • Sara K Huston; The Gallup Organization
  • Kelly M Anastasio; Yale School of Medicine
  • Lisa Cashman; Quest Diagnostics
  • Dorothy S Massey; Center for Outcomes Research and Evaluation, Yale-New Haven Hospital
  • Andrew Dugan; The Gallup Organization
  • Dan Witters; The Gallup Organization
  • Jenny Marlar; The Gallup Organization
  • Shu-Xia Li; Center for Outcomes Research and Evaluation,Yale-New Haven Hospital
  • Zhenqiu Lin; Yale School of Medicine
  • Domonique Hodge; The Gallup Organization
  • Manas Chattopadhyay; The Gallup Organization
  • Mark D Adams; The Jackson Laboratory for Genomic Medicine
  • Charles Lee; The Jackson Laboratory for Genomic Medicine
  • Lokinendi V Rao; University of Massachusetts Medical School
  • Chris Stewart; The Gallup Organization
  • Karthik Kuppusamy; Quest Diagnostics
  • Albert I Ko; Yale School of Public Health
  • Harlan M Krumholz; Yale School of Medicine
Preprint in English | medRxiv | ID: ppmedrxiv-20168203
ABSTRACT
BackgroundA seroprevalence study can estimate the percentage of people with SARS-CoV-2 antibodies in the general population, however, most existing reports have used a convenience sample, which may bias their estimates. MethodsWe sought a representative sample of Connecticut residents, aged [≥]18 years and residing in non-congregate settings, who completed a survey between June 4 and June 23, 2020 and underwent serology testing for SARS-CoV-2-specific IgG antibodies between June 10 and July 29, 2020. We also oversampled non-Hispanic Black and Hispanic subpopulations. We estimated the seroprevalence of SARS-CoV-2-specific IgG antibodies and the prevalence of symptomatic illness and self-reported adherence to risk mitigation behaviors among this population. ResultsOf the 567 respondents (mean age 50 [{+/-}17] years; 53% women; 75% non-Hispanic White individuals) included at the state-level, 23 respondents tested positive for SARS-CoV-2-specific antibodies, resulting in weighted seroprevalence of 4.0 (90% confidence interval [CI] 2.0-6.0). The weighted seroprevalence for the oversampled non-Hispanic Black and Hispanic populations was 6.4% (90% CI 0.9-11.9) and 19.9% (90% CI 13.2-26.6), respectively. The majority of respondents at the state-level reported following risk mitigation behaviors 73% avoided public places, 75% avoided gatherings of families or friends, and 97% wore a facemask, at least part of the time. ConclusionsThese estimates indicate that the vast majority of people in Connecticut lack antibodies against SARS-CoV-2 and there is variation by race/ethnicity. There is a need for continued adherence to risk mitigation behaviors among Connecticut residents to prevent resurgence of COVID-19 in this region.
License
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Full text: Available Collection: Preprints Database: medRxiv Type of study: Observational study / Prognostic study Language: English Year: 2020 Document type: Preprint
Full text: Available Collection: Preprints Database: medRxiv Type of study: Observational study / Prognostic study Language: English Year: 2020 Document type: Preprint
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