Evidence map›Paper›PMID 33619505›Full record

ArticlemedRxiv : the preprint server for health sciences2021

SARS-CoV-2 incidence and risk factors in a national, community-based prospective cohort of U.S. adults.

Denis Nash, Madhura S Rane, Mindy Chang, Sarah Gorrell Kulkarni, Rebecca Zimba, William You, Amanda Berry, Chloe Mirzayi, Shivani Kochhar, Andrew Maroko and 5 more

Open access · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 3 institutions in 1 country.

Denis NashInstitute for Implementation Science in Population Health (ISPH), City University of New York (CUNY); New York City, New York USA.
Madhura S RaneInstitute for Implementation Science in Population Health (ISPH), City University of New York (CUNY); New York City, New York USA.
Mindy ChangInstitute for Implementation Science in Population Health (ISPH), City University of New York (CUNY); New York City, New York USA.
Sarah Gorrell KulkarniInstitute for Implementation Science in Population Health (ISPH), City University of New York (CUNY); New York City, New York USA.
Rebecca ZimbaInstitute for Implementation Science in Population Health (ISPH), City University of New York (CUNY); New York City, New York USA.
William YouInstitute for Implementation Science in Population Health (ISPH), City University of New York (CUNY); New York City, New York USA.
Amanda BerryInstitute for Implementation Science in Population Health (ISPH), City University of New York (CUNY); New York City, New York USA.
Chloe MirzayiInstitute for Implementation Science in Population Health (ISPH), City University of New York (CUNY); New York City, New York USA.
Shivani KochharInstitute for Implementation Science in Population Health (ISPH), City University of New York (CUNY); New York City, New York USA.
Andrew MarokoInstitute for Implementation Science in Population Health (ISPH), City University of New York (CUNY); New York City, New York USA.
McKaylee M RobertsonInstitute for Implementation Science in Population Health (ISPH), City University of New York (CUNY); New York City, New York USA.
Drew A WestmorelandInstitute for Implementation Science in Population Health (ISPH), City University of New York (CUNY); New York City, New York USA.
Angela M ParcesepeInstitute for Implementation Science in Population Health (ISPH), City University of New York (CUNY); New York City, New York USA.
Levi WaldronInstitute for Implementation Science in Population Health (ISPH), City University of New York (CUNY); New York City, New York USA.
Christian GrovInstitute for Implementation Science in Population Health (ISPH), City University of New York (CUNY); New York City, New York USA.
City University of New York · USThe Graduate Center, CUNY · USUniversity of North Carolina at Chapel Hill · US

Funding

Carolina Population CenterR24HD050924 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI MORGAN, SAMUEL PHILIP · 2005 to 2014
$10.0M
Research Services CoreP2CHD050924 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KAREN B GUZZO · 2015 to 2026
$9.6M
Following a U.S. National Cohort of Vulnerable Men to Improve HIV Prevention and CareUH3AI133675 · NIAID · GRADUATE SCHOOL OF PUBLIC HEALTH AND HEALTH POLICY · PI GROV, CHRISTIAN · 2019 to 2021
$6.9M
NIAID NIH HHS UH3 AI133675NICHD NIH HHS P2C HD050924NICHD NIH HHS R24 HD050924
6 · The paper itself

Abstract

backgroundEpidemiologic risk factors for incident SARS-CoV-2 infection as determined via prospective cohort studies greatly augment and complement information from case-based surveillance and cross-sectional seroprevalence surveys.

methodsWe estimated the incidence of SARS-CoV-2 infection and risk factors in a well-characterized, national prospective cohort of 6,738 U.S. adults, enrolled March-August 2020, a subset of whom (n=4,510) underwent repeat serologic testing between May 2020 and January 2021. We examined the crude associations of sociodemographic factors, epidemiologic risk factors, and county-level community transmission with the incidence of seroconversion. In multivariable Poisson models we examined the association of social distancing and a composite score of several epidemiologic risk factors with the rate of seroconversion.

findingsAmong the 4,510 individuals with at least one serologic test, 323 (7.3%, 95% confidence interval [CI] 6.5%-8.1%) seroconverted by January 2021. Among 3,422 participants seronegative in May-September 2020 and tested during November 2020-January 2021, we observed 161 seroconversions over 1,646 person-years of follow-up (incidence rate of 9.8 per 100 person-years [95%CI 8.3-11.5]). In adjusted models, participants who reported always or sometimes social distancing with people they knew (IRR

interpretationModifiable epidemiologic risk factors and poor reach of public health strategies drove SARS-CoV-2 transmission across the U.S during May 2020-January 2021.

fundingU.S. National Institutes of Allergy and Infectious Diseases (NIAID).

Indexed as

asymptomatic infectioncommunity transmissionCOVID-19epidemiologic studyessential workersnatural history studyphysical distancingpublic health interventionsseroconversionserology

Identifiers

PMID33619505
PMCPMC7899475
OpenAlexW3129613328

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.