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SARS-CoV-2 infection in central North Carolina: Protocol for a population-based longitudinal cohort study and preliminary participant results.
Miller, Elyse M; Law, Elle A; Ajeen, Rawan; Karasik, Jaclyn; Mendoza, Carmen; Abernathy, Haley; Garrett, Haley; King, Elise; Wallace, John; Zelek, Michael; Edwards, Jessie K; Xiong, Khou; Beatty, Cherese; Fleischauer, Aaron T; Ciccone, Emily J; Shook-Sa, Bonnie E; Aiello, Allison E; Boyce, Ross M.
  • Miller EM; Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States of America.
  • Law EA; Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States of America.
  • Ajeen R; Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States of America.
  • Karasik J; Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States of America.
  • Mendoza C; Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States of America.
  • Abernathy H; Institute of Global Health and Infectious Diseases, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States of America.
  • Garrett H; Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States of America.
  • King E; Institute of Global Health and Infectious Diseases, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States of America.
  • Wallace J; North Carolina Institute of Public Health, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States of America.
  • Zelek M; Chatham County Public Health Department, Pittsboro, NC, United States of America.
  • Edwards JK; Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States of America.
  • Xiong K; Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States of America.
  • Beatty C; Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States of America.
  • Fleischauer AT; Division of State and Local Readiness, United States Centers for Disease Control and Prevention, Atlanta, GA, United States of America.
  • Ciccone EJ; Epidemiology Branch, North Carolina Department of Health and Human Services, Raleigh, NC, United States of America.
  • Shook-Sa BE; Division of Infectious Diseases, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States of America.
  • Aiello AE; Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States of America.
  • Boyce RM; Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States of America.
PLoS One ; 16(10): e0259070, 2021.
Article in English | MEDLINE | ID: covidwho-1484863
ABSTRACT
Public health surveillance systems likely underestimate the true prevalence and incidence of SARS-CoV-2 infection due to limited access to testing and the high proportion of subclinical infections in community-based settings. This ongoing prospective, observational study aimed to generate accurate estimates of the prevalence and incidence of, and risk factors for, SARS-CoV-2 infection among residents of a central North Carolina county. From this cohort, we collected survey data and nasal swabs every two weeks and venous blood specimens every month. Nasal swabs were tested for the presence of SARS-CoV-2 virus (evidence of active infection), and serum specimens for SARS-CoV-2-specific antibodies (evidence of prior infection). As of June 23, 2021, we have enrolled a total of 153 participants from a county with an estimated 76,285 total residents. The anticipated study duration is at least 24 months, pending the evolution of the pandemic. Study data are being shared on a monthly basis with North Carolina state health authorities and future analyses aim to compare study data to state-wide metrics over time. Overall, the use of a probability-based sampling design and a well-characterized cohort will enable collection of critical data that can be used in planning and policy decisions for North Carolina and may be informative for other states with similar demographic characteristics.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Population Surveillance / COVID-19 Nucleic Acid Testing / COVID-19 Serological Testing / COVID-19 Type of study: Cohort study / Diagnostic study / Observational study / Prognostic study / Qualitative research Limits: Adult / Female / Humans / Male Country/Region as subject: North America Language: English Journal: PLoS One Journal subject: Science / Medicine Year: 2021 Document Type: Article Affiliation country: Journal.pone.0259070

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Population Surveillance / COVID-19 Nucleic Acid Testing / COVID-19 Serological Testing / COVID-19 Type of study: Cohort study / Diagnostic study / Observational study / Prognostic study / Qualitative research Limits: Adult / Female / Humans / Male Country/Region as subject: North America Language: English Journal: PLoS One Journal subject: Science / Medicine Year: 2021 Document Type: Article Affiliation country: Journal.pone.0259070