Evidence map›Paper›PMID 32210423›Full record

ArticlePLoS computational biology2020

Quantifying the roles of vomiting, diarrhea, and residents vs. staff in norovirus transmission in U.S. nursing home outbreaks.

Carly Adams, David Young, Paul A Gastañaduy, Prabasaj Paul, Zach Marsh, Aron J Hall, Benjamin A Lopman

Abstract read
In one paragraph

Article in PLoS computational biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
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  4. 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

7 authors.

Carly AdamsDepartment of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia, United States of America.ORCID 0000-0002-9220-7169
David YoungSouth Carolina Department of Health and Environmental Control, Columbia, South Carolina, United States of America.ORCID 0000-0002-1373-4017
Paul A GastañaduyDivision of Viral Diseases, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.
Prabasaj PaulDivision of Healthcare Quality Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.ORCID 0000-0002-4096-6171
Zach MarshDivision of Viral Diseases, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.ORCID 0000-0002-4968-7427
Aron J HallDepartment of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia, United States of America.
Benjamin A LopmanDepartment of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia, United States of America.

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

The role of individual case characteristics, such as symptoms or demographics, in norovirus transmissibility is poorly understood. Six nursing home norovirus outbreaks occurring in South Carolina, U.S. from 2014 to 2016 were examined. We aimed to quantify the contribution of symptoms and other case characteristics in norovirus transmission using the reproduction number (REi) as an estimate of individual case infectivity and to examine how transmission changes over the course of an outbreak. Individual estimates of REi were calculated using a maximum likelihood procedure to infer the average number of secondary cases generated by each case. The associations between case characteristics and REi were estimated using a weighted multivariate mixed linear model. Outbreaks began with one to three index case(s) with large estimated REi's (range: 1.48 to 8.70) relative to subsequent cases. Of the 209 cases, 155 (75%) vomited, 164 (79%) had diarrhea, and 158 (76%) were nursing home residents (vs. staff). Cases who vomited infected 2.12 (95% CI: 1.68, 2.68) times the number of individuals as non-vomiters, cases with diarrhea infected 1.39 (95% CI: 1.03, 1.87) times the number of individuals as cases without diarrhea, and resident-cases infected 1.53 (95% CI: 1.15, 2.02) times the number of individuals as staff-cases. Index cases tended to be residents (vs. staff) who vomited and infected considerably more secondary cases compared to non-index cases. Results suggest that individuals, particularly residents, who vomit are more infectious and tend to drive norovirus transmission in U.S. nursing home norovirus outbreaks. While diarrhea also plays a role in norovirus transmission, it is to a lesser degree than vomiting in these settings. Results lend support for prevention and control measures that focus on cases who vomit, particularly if those cases are residents.

Indexed as

Caliciviridae InfectionsDiarrheaDisease OutbreaksFemaleFoodborne DiseasesHumansInfectious Disease Transmission, Patient-to-ProfessionalInfectious Disease Transmission, Professional-to-PatientMaleNorovirusNursing HomesUnited StatesVomiting

Identifiers

PMID32210423
PMCPMC7135310

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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.