Evidence map›Paper›PMID 41060960›Full record

ArticlePloS one2025

Incidence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection in North Carolina from December 2020 - February 2022.

Elyse M Miller, Ross M Boyce, Aaron M Kipp, L Kristin Newby, Christopher W Woods, Caitlin A Cassidy, Annika K Gunderson, C Suzanne Lea, Coralei E Neighbors, Bonnie E Shook-Sa and 6 more

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Elyse M MillerDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina, United States of America.ORCID https://orcid.org/0000-0001-5548-4450
Ross M BoyceDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina, United States of America.ORCID https://orcid.org/0000-0002-9489-6324
Aaron M KippDepartment of Public Health, Brody School of Medicine, East Carolina University, Greenville, North Carolina, United States of America.
L Kristin NewbyDivision of Cardiology, Duke University, Durham, North Carolina, United States of America.ORCID https://orcid.org/0000-0002-6394-8187
Christopher W WoodsDepartment of Medicine, Duke University Medical Center, Durham, North Carolina, United States of America.
Caitlin A CassidyDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina, United States of America.ORCID https://orcid.org/0000-0002-8796-4990
Annika K GundersonDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina, United States of America.
C Suzanne LeaDepartment of Public Health, Brody School of Medicine, East Carolina University, Greenville, North Carolina, United States of America.
Coralei E NeighborsHubert-Yeargan Center for Global Health, Duke University, Durham, North Carolina, United States of America.ORCID https://orcid.org/0000-0002-0367-2983
Bonnie E Shook-SaDepartment of Biostatistics, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina, United States of America.
Richard SloaneCenter for the Study of Aging and Human Development, Duke University Medical Center, Durham, North Carolina, United States of America.
Anne P StarlingDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina, United States of America.
David WambuiDepartment of Public Health, Brody School of Medicine, East Carolina University, Greenville, North Carolina, United States of America.
Douglas WixtedDuke Clinical and Translational Science Institute, Duke University, Durham, North Carolina, United States of America.ORCID https://orcid.org/0000-0002-6128-7813
Aaron FleischauerCareer Epidemiology Field Officer, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.
Allison E AielloDepartment of Epidemiology, Robert N. Butler Columbia Aging Center, Mailman School of Public Health, Columbia University, New York, New York, United States of America.

Funding

Biostatstics for Research in Environmental HealthT32ES007018 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Stephanie Engel, Rebecca Fry · 1985 to 2026
$31.3M
Training in Infectious Disease Epidemiology (TIDE)T32AI070114 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Brian W Pence · 2007 to 2026
$4.0M
NIAID NIH HHS T32 AI070114NIEHS NIH HHS T32 ES007018
6 · The paper itself

Abstract

backgroundSurveillance estimates of SARS-CoV-2 infections over time have relied on mandatory clinician and laboratory reporting. These estimates increasingly underestimated true viral incidence due to asymptomatic infections, variable access to testing, and self-administered diagnostics. To overcome these limitations, the North Carolina Department of Health and Human Services partnered with academic researchers to conduct three concurrent population-based longitudinal cohort studies in three distinct North Carolina counties to offer more accurate estimates of the incidence, prevalence, and vaccination rates for SARS-CoV-2.

methodsWe enrolled and followed adult residents of three North Carolina counties from August 2020-February 2022. Demographic and health information was collected in biweekly surveys. Nasal swabs were collected biweekly and tested for SARS-CoV-2 using PCR testing. Blood samples were collected monthly and tested for antibodies to the SARS-CoV-2 nucleocapsid and spike proteins. We calculated monthly seroprevalence, sero-incidence, PCR test positivity, and vaccination uptake.

resultsWe enrolled 646 participants. Routine blood samples and nasal swab samples were contributed by 639 and 642 participants, respectively. By February 2022, 98% (95% CI: 97.4-98.2) had antibodies to the SARS-CoV-2 spike protein, and 13% (95% CI: 12.4-14.2) had antibodies to the nucleocapsid protein, indicating viral exposure. PCR testing detected infection among 14% (95% CI: 13.1-15.0) of participants, but cumulative PCR test positivity was only 1.3% (95% CI: 1.2-1.4). Over half of PCR-detected infections were asymptomatic. By February 2022, 97% of participants had completed the primary vaccine series, and 52% had received a booster dose.

conclusionsNearly all participants had anti-SARS-CoV-2 antibodies by the end of follow-up, primarily through vaccination. The incidence of PCR-detected infections was similar to antibody testing, but PCR test positivity substantially underestimated incident infections. These findings emphasize the importance of prospective infection monitoring via antibody testing in a comprehensive approach to tracking viral infections in the community setting.

Indexed as

COVID-19SARS-CoV-2AdolescentAdultAgedAntibodies, ViralFemaleHumansIncidenceLongitudinal StudiesMaleMiddle AgedNorth CarolinaSeroepidemiologic StudiesYoung AdultAntibodies, Viral

Identifiers

PMID41060960
PMCPMC12507194

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.