Evidence map›Paper›PMID 34548363›Full record

ArticleBMJ open2021

Predictors of incident SARS-CoV-2 infections in an international prospective cohort study.

Anthony Lin, Eric Vittinghoff, Jeffrey Olgin, Noah Peyser, Sidney Aung, Sean Joyce, Vivian Yang, Janet Hwang, Robert Avram, Gregory Nah and 9 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Observational
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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

19 authors.

Anthony LinDepartment of Medicine, University of California San Francisco, San Francisco, California, USA.ORCID 0000-0001-9548-6194
Eric VittinghoffEpidemiology and Biostatistics, University of California San Francisco, San Francisco, California, USA.ORCID 0000-0001-8535-0920
Jeffrey OlginDepartment of Medicine, University of California San Francisco, San Francisco, California, USA.
Noah PeyserDepartment of Medicine, University of California San Francisco, San Francisco, California, USA.ORCID 0000-0003-4529-8325
Sidney AungDepartment of Medicine, University of California San Francisco, San Francisco, California, USA.
Sean JoyceDepartment of Medicine, University of California San Francisco, San Francisco, California, USA.
Vivian YangDepartment of Medicine, University of California San Francisco, San Francisco, California, USA.
Janet HwangDepartment of Medicine, University of California San Francisco, San Francisco, California, USA.
Robert AvramDepartment of Medicine, University of California San Francisco, San Francisco, California, USA.
Gregory NahDepartment of Medicine, University of California San Francisco, San Francisco, California, USA.
Geoffrey H TisonDepartment of Medicine, University of California San Francisco, San Francisco, California, USA.
Alexis BeattyDepartment of Medicine, University of California San Francisco, San Francisco, California, USA.
Ryan RungeDepartment of Medicine, University of California San Francisco, San Francisco, California, USA.
David WenDepartment of Medicine, University of California San Francisco, San Francisco, California, USA.ORCID 0000-0003-1986-2164
Xochitl ButcherDepartment of Medicine, University of California San Francisco, San Francisco, California, USA.
Cathy HornerDepartment of Medicine, University of California San Francisco, San Francisco, California, USA.
Helena EitelDepartment of Medicine, University of California San Francisco, San Francisco, California, USA.
Mark PletcherEpidemiology and Biostatistics, University of California San Francisco, San Francisco, California, USA.
Gregory M MarcusDepartment of Medicine, University of California San Francisco, San Francisco, California, USA Greg.Marcus@ucsf.edu.

Funding

The Health ePeople Resource for Mobilized ResearchU2CEB021881 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MARCUS, GREGORY M, OLGIN, JEFFREY E · 2015 to 2020
$10.3M
MHC Variation in Host Response to SARS-CoV2 and COVID-19 OutcomesR01AI159260 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HOLLENBACH, JILL ALLISON · 2021 to 2025
$4.0M
NIAID NIH HHS R01 AI159260NIBIB NIH HHS U2C EB021881
6 · The paper itself

Abstract

objectiveUntil effective treatments and vaccines are made readily and widely available, preventative behavioural health measures will be central to the SARS-CoV-2 public health response. While current recommendations are grounded in general infectious disease prevention practices, it is still not entirely understood which particular behaviours or exposures meaningfully affect one's own risk of incident SARS-CoV-2 infection. Our objective is to identify individual-level factors associated with one's personal risk of contracting SARS-CoV-2.

designProspective cohort study of adult participants from 26 March 2020 to 8 October 2020.

settingThe COVID-19 Citizen Science Study, an international, community and mobile-based study collecting daily, weekly and monthly surveys in a prospective and time-updated manner.

participantsAll adult participants over the age of 18 years were eligible for enrolment. PRIMARY OUTCOME MEASURE: The primary outcome was incident SARS-CoV-2 infection confirmed via PCR or antigen testing.

results28 575 unique participants contributed 2 479 149 participant-days of data across 99 different countries. Of these participants without a history of SARS-CoV-2 infection at the time of enrolment, 112 developed an incident infection. Pooled logistic regression models showed that increased age was associated with lower risk (OR 0.98 per year, 95% CI 0.97 to 1.00, p=0.019), whereas increased number of non-household contacts (OR 1.10 per 10 contacts, 95% CI 1.01 to 1.20, p=0.024), attending events of at least 10 people (OR 1.26 per 10 events, 95% CI 1.07 to 1.50, p=0.007) and restaurant visits (OR 1.95 per 10 visits, 95% CI 1.42 to 2.68, p<0.001) were associated with significantly higher risk of incident SARS-CoV-2 infection.

conclusionsOur study identified three modifiable health behaviours, namely the number of non-household contacts, attending large gatherings and restaurant visits, which may meaningfully influence individual-level risk of contracting SARS-CoV-2.

Indexed as

COVID-19SARS-CoV-2AdultHumansMiddle AgedProspective StudiesTreatment OutcomeCOVID-19health informaticspublic health

Identifiers

PMID34548363
PMCPMC8457993

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.