Evidence map›Paper›PMID 25734110›Full record

ArticleOpen forum infectious diseases2014

The spread and control of norovirus outbreaks among hospitals in a region: a simulation model.

Sarah M Bartsch, Susan S Huang, Kim F Wong, Taliser R Avery, Bruce Y Lee

Abstract read
In one paragraph

Article in Open forum infectious diseases, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Applications of network analysis to routinely collected health care data: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2018
    Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. A systems approach to obesity.Nutrition reviews · 2017
    Review
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

5 authors.

Sarah M BartschPublic Health Computational and Operations Research (PHICOR) , Johns Hopkins Bloomberg School of Public Health , Baltimore, Maryland ; Department of Industrial Engineering.
Susan S HuangUniversity of California School of Medicine , Irvine, California.
Kim F WongCenter for Simulation and Modeling , University of Pittsburgh , Pittsburgh, Pennsylvania.
Taliser R AveryHarvard Medical School and Harvard Pilgrim Health Care Institute , Boston, Massachusetts.
Bruce Y LeePublic Health Computational and Operations Research (PHICOR) , Johns Hopkins Bloomberg School of Public Health , Baltimore, Maryland.

Funding

Modeling Health System Infectious Disease DataU01GM076672 · NIGMS · UNIVERSITY OF CALIFORNIA-IRVINE · PI HUANG, SUSAN S. · 2006 to 2010
$3.0M
NIGMS NIH HHS U01 GM076672
6 · The paper itself

Abstract

backgroundBecause hospitals in a region are connected via patient sharing, a norovirus outbreak in one hospital may spread to others.

methodsWe utilized our Regional Healthcare Ecosystem Analyst software to generate an agent-based model of all the acute care facilities in Orange County (OC), California and simulated various norovirus outbreaks in different locations, both with and without contact precautions.

resultsAt the lower end of norovirus reproductive rate (R0) estimates (1.64), an outbreak tended to remain confined to the originating hospital (≤6.1% probability of spread). However, at the higher end of R0 (3.74), an outbreak spread 4.1%-17.5% of the time to almost all other OC hospitals within 30 days, regardless of the originating hospital. Implementing contact precautions for all symptomatic cases reduced the probability of spread to other hospitals within 30 days and the total number of cases countywide, but not the number of other hospitals seeing norovirus cases.

conclusionsA single norovirus outbreak can continue to percolate throughout a system of different hospitals for several months and appear as a series of unrelated outbreaks, highlighting the need for hospitals within a region to more aggressively and cooperatively track and control an initial outbreak.

Indexed as

hospitalsinterventionnorovirusoutbreak

Identifiers

PMID25734110
PMCPMC4281820

What OpenQuestion holds

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Registered trials

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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.