Evidence map›Paper›PMID 36350773›Full record

ArticleThe Journal of infectious diseases2023

Household Transmission Dynamics of Seasonal Human Coronaviruses.

Talia M Quandelacy, Matt D T Hitchings, Justin Lessler, Jonathan M Read, Charles Vukotich, Andrew S Azman, Henrik Salje, Shanta Zimmer, Hongjiang Gao, Yenlik Zheteyeva and 2 more

Abstract read
In one paragraph

Article in The Journal of infectious diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

12 authors.

Talia M QuandelacyDepartment of Epidemiology, University of Colorado Denver, Aurora, Colorado, USA.ORCID 0000-0002-4059-577X
Matt D T HitchingsDepartment of Biology and Emerging Pathogens Institute, University of Florida, Gainesville, Florida, USA.
Justin LesslerDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Jonathan M ReadLancaster Medical School, Lancaster University, Lancaster, United Kingdom.
Charles VukotichSchool of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Andrew S AzmanDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.ORCID 0000-0001-8662-9077
Henrik SaljeDepartment of Genetics, Cambridge University, Cambridge, United Kingdom.ORCID 0000-0003-3626-4254
Shanta ZimmerSchool of Medicine, University of Colorado-Denver, Aurora, Colorado, USA.
Hongjiang GaoCenters for Disease Control and Prevention, Atlanta, Georgia, USA.
Yenlik ZheteyevaCenters for Disease Control and Prevention, Atlanta, Georgia, USA.
Amra UzicaninCenters for Disease Control and Prevention, Atlanta, Georgia, USA.
Derek A T CummingsDepartment of Biology and Emerging Pathogens Institute, University of Florida, Gainesville, Florida, USA.

Funding

CDC HHS U01 CK000337-01Medical Research Council MR/V038613/1NCEZID CDC HHS U01 CK000337
6 · The paper itself

Abstract

backgroundHousehold transmission studies inform how viruses spread among close contacts, but few characterize household transmission of endemic coronaviruses.

methodsWe used data collected from 223 households with school-age children participating in weekly disease surveillance over 2 respiratory virus seasons (December 2015 to May 2017), to describe clinical characteristics of endemic human coronaviruses (HCoV-229E, HcoV-HKU1, HcoV-NL63, HcoV-OC43) infections, and community and household transmission probabilities using a chain-binomial model correcting for missing data from untested households.

resultsAmong 947 participants in 223 households, we observed 121 infections during the study, most commonly subtype HCoV-OC43. Higher proportions of infected children (<19 years) displayed influenza-like illness symptoms than infected adults (relative risk, 3.0; 95% credible interval [CrI], 1.5-6.9). The estimated weekly household transmission probability was 9% (95% CrI, 6-13) and weekly community acquisition probability was 7% (95% CrI, 5-10). We found no evidence for differences in community or household transmission probabilities by age or symptom status. Simulations suggest that our study was underpowered to detect such differences.

conclusionsOur study highlights the need for large household studies to inform household transmission, the challenges in estimating household transmission probabilities from asymptomatic individuals, and implications for controlling endemic CoVs.

Indexed as

Coronavirus 229E, HumanCoronavirus InfectionsCoronavirus NL63, HumanCoronavirus OC43, HumanRespiratory Tract InfectionsVirusesAdultChildHumansSeasonschildrencoronaviruseshouseholdtransmission

Identifiers

PMID36350773
PMCPMC11584005

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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.