Evidence map›Paper›PMID 34130652›Full record

ArticleBMC infectious diseases2021

Protective population behavior change in outbreaks of emerging infectious disease.

Evans K Lodge, Annakate M Schatz, John M Drake

Abstract read
In one paragraph

Article in BMC infectious diseases, 2021. 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.

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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

3 authors.

Evans K LodgeDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, 135 Dauer Drive, Chapel Hill, NC, 27599, USA. evans_lodge@med.unc.edu.ORCID http://orcid.org/0000-0002-2222-5441
Annakate M SchatzOdum School of Ecology and Center for Ecology of Infectious Diseases, University of Georgia, Athens, GA, USA.
John M DrakeOdum School of Ecology and Center for Ecology of Infectious Diseases, University of Georgia, Athens, GA, USA.

Funding

Biostatstics for Research in Environmental HealthT32ES007018 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Stephanie Engel, Rebecca Fry · 1985 to 2026
$31.3M
MEDICAL SCIENTIST TRAINING PROGRAMT32GM008719 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DARVILLE, TONI, DESHMUKH, MOHANISH P · 1999 to 2023
$15.1M
POPULATION STUDIEST32HD007168 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ELIZABETH A FRANKENBERG · 1985 to 2026
$13.8M
Research Services CoreP2CHD050924 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KAREN B GUZZO · 2015 to 2026
$9.6M
Forecasting tipping points in emerging and re-emerging infectious diseasesU01GM110744 · NIGMS · UNIVERSITY OF GEORGIA · PI DRAKE, JOHN M, EPUREANU, BOGDAN · 2014 to 2018
$3.2M
NICHD NIH HHS P2C HD050924NICHD NIH HHS T32 HD007168NIEHS NIH HHS T32 ES007018NIEHS NIH HHS T32ES007018NIGMS NIH HHS T32 GM008719NIGMS NIH HHS T32GM008719NIGMS NIH HHS U01 GM110744NIGMS NIH HHS U01GM110744
6 · The paper itself

Abstract

backgroundDuring outbreaks of emerging and re-emerging infections, the lack of effective drugs and vaccines increases reliance on non-pharmacologic public health interventions and behavior change to limit human-to-human transmission. Interventions that increase the speed with which infected individuals remove themselves from the susceptible population are paramount, particularly isolation and hospitalization. Ebola virus disease (EVD), Severe Acute Respiratory Syndrome (SARS), and Middle East Respiratory Syndrome (MERS) are zoonotic viruses that have caused significant recent outbreaks with sustained human-to-human transmission.

methodsThis investigation quantified changing mean removal rates (MRR) and days from symptom onset to hospitalization (DSOH) of infected individuals from the population in seven different outbreaks of EVD, SARS, and MERS, to test for statistically significant differences in these metrics between outbreaks.

resultsWe found that epidemic week and viral serial interval were correlated with the speed with which populations developed and maintained health behaviors in each outbreak.

conclusionsThese findings highlight intrinsic population-level changes in isolation rates in multiple epidemics of three zoonotic infections with established human-to-human transmission and significant morbidity and mortality. These data are particularly useful for disease modelers seeking to forecast the spread of emerging pathogens.

Indexed as

Disease OutbreaksHealth BehaviorAnimalsCommunicable Disease ControlCommunicable Diseases, EmergingCoronavirus InfectionsEpidemicsForecastingHemorrhagic Fever, EbolaHumansPublic HealthSevere Acute Respiratory SyndromeZoonosesEbolaInfectious diseaseMERSOutbreakPublic healthSARS

Identifiers

PMID34130652
PMCPMC8205197

What OpenQuestion holds

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LicenceCC BY
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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.