Evidence map›Paper›PMID 30901030›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2020

Understanding the Importance of Contact Heterogeneity and Variable Infectiousness in the Dynamics of a Large Norovirus Outbreak.

Jon Zelner, Carly Adams, Joshua Havumaki, Ben Lopman

Abstract read
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

3 citing papers in PubMed.

  1. Host heterogeneity and unpredictability in parasite outbreaks.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
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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

4 authors.

Jon ZelnerDepartment of Epidemiology, University of Michigan School of Public Health, Ann Arbor.
Carly AdamsDepartment of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia.
Joshua HavumakiDepartment of Epidemiology, University of Michigan School of Public Health, Ann Arbor.
Ben LopmanDepartment of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia.

Funding

Preparing for the SARS-CoV2 vaccine: Modeling of transmission pathways, viral evolution and vaccination strategiesR01GM124280 · NIGMS · EMORY UNIVERSITY · PI LOPMAN, BENJAMIN A · 2018 to 2022
$2.2M
Building the Evidence Base for Vomit Clean-Up Procedures in Long-term Care FacilitiesR01HS025987 · AHRQ · CLEMSON UNIVERSITY · PI FRASER, ANGELA MARIE · 2018 to 2020
$1.4M
AHRQ HHS R01 HS025987NIGMS NIH HHS R01 GM124280
6 · The paper itself

Abstract

backgroundLarge norovirus (NoV) outbreaks are explosive in nature and vary widely in final size and duration, suggesting that superspreading combined with heterogeneous contact may explain these dynamics. Modeling tools that can capture heterogeneity in infectiousness and contact are important for NoV outbreak prevention and control, yet they remain limited.

methodsData from a large NoV outbreak at a Dutch scout jamboree, which resulted in illness among 326 (of 4500 total) individuals from 7 separate camps, were used to examine the contributions of individual variation in infectiousness and clustered contact patterns to the transmission dynamics. A Bayesian hierarchical model of heterogeneous, clustered outbreak transmission was applied to represent (1) between-individual heterogeneity in infectiousness and (2) heterogeneous patterns of contact.

resultsWe found wide heterogeneity in infectiousness across individuals, suggestive of superspreading. Nearly 50% of individual infectiousness was concentrated in the individual's subcamp of residence, with the remainder distributed over other subcamps. This suggests a source-and-sink dynamic in which subcamps with greater average infectiousness fed cases to those with a lower transmission rate. Although the per capita transmission rate within camps was significantly greater than that between camps, the large pool of susceptible individuals across camps enabled similar numbers of secondary cases generated between versus within camps.

conclusionsThe consideration of clustered transmission and heterogeneous infectiousness is important for understanding NoV transmission dynamics. Models including these mechanisms may be useful for providing early warning and guiding outbreak response.

Indexed as

Caliciviridae InfectionsNorovirusBayes TheoremDisease OutbreaksDisease SusceptibilityHumansMCMCnorovirusoutbreaktransmission model

Identifiers

PMID30901030
PMCPMC7188223

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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.