Evidence map›Paper›PMID 32288841›Full record

ArticleJournal of economic interaction and coordination2017

Network position and health care worker infections.

Troy Tassier, Philip Polgreen, Alberto Segre

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of economic interaction and coordination, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

3 authors.

Troy Tassier1Department of Economics, Fordham University, E528 Dealy Hall, Bronx, NY 10458 USA.
Philip Polgreen2Department of Internal Medicine, Carver College of Medicine, University of Iowa, Iowa City, IA USA.
Alberto Segre3Department of Computer Science, University of Iowa, Iowa City, IA USA.

Funding

Social Networks and the Spread of Influenza and other Nosocomial InfectionsK01AI075089 · NIAID · UNIVERSITY OF IOWA · PI POLGREEN, PHILIP M. · 2008 to 2012
$733k
Contact Network Epidemiology of Influenza and Other Nosocomial InfectionsR21AI081164 · NIAID · UNIVERSITY OF IOWA · PI POLGREEN, PHILIP M., SEGRE, ALBERTO MARIA · 2009 to 2010
$402k
NIAID NIH HHS K01 AI075089NIAID NIH HHS R21 AI081164
6 · The paper itself

Abstract

We use a newly collected data set coupled with an agent-based model to study the spread of infectious disease in hospitals. We estimate the average and marginal infections created by various worker groups in a hospital as a function of their network position in order to identify groups most crucial in a hospital-based epidemic. Surprisingly, we find that many groups with primary patient care responsibilities play a small role in spreading an infectious disease within our hospital data set. We also demonstrate that the effect of different network positions can be as important as the effect of different transmission rates for some categories of workers.

Indexed as

Economic epidemiologyInfectious diseaseSocial networksVaccine subsidies

Identifiers

PMID32288841
PMCPMC7111609

What OpenQuestion holds

Textmetadata
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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.