Evidence map›Paper›PMID 31156079›Full record

ArticleDisaster medicine and public health preparedness2019

Addressing Disease-Related Stigma During Infectious Disease Outbreaks.

Leah S Fischer, Gordon Mansergh, Jonathan Lynch, Scott Santibanez

Open access · greenAbstract read
In one paragraph

Article in Disaster medicine and public health preparedness, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 papers.

0numbers the graph read from it
0cells of the map it votes in
83citing papers in PubMed
13.4field-weighted citation impact, top 1% of its field
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

83 citing papers in PubMed, 172 citations in OpenAlex.

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23 more citing papers are in PubMed but not listed here.

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 at 1 institution in 1 country.

Leah S FischerCenters for Disease Control and Prevention, Division of Preparedness and Emerging Infections, Atlanta, GA.
Gordon ManserghCenters for Disease Control and Prevention, Division of HIV/AIDS Prevention, Atlanta, GA.
Jonathan LynchCenters for Disease Control and Prevention, Division of Emergency Operations, Atlanta, GA.
Scott SantibanezCenters for Disease Control and Prevention, Division of Preparedness and Emerging Infections, Atlanta, GA.
Centers for Disease Control and Prevention · US

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

Outbreaks of emerging infectious disease are a constant threat. In the last 10 years, there have been outbreaks of 2009 influenza A (H1N1), Ebola virus disease, and Zika virus. Stigma associated with infectious disease can be a barrier to adopting healthy behaviors, leading to more severe health problems, ongoing disease transmission, and difficulty controlling infectious disease outbreaks. Much has been learned about infectious disease and stigma in the context of nearly 4 decades of the human immunodeficiency virus (HIV)/acquired immunodeficiency syndrome pandemic. In this paper, we define stigma, discuss its relevance to infectious disease outbreaks, including how individuals and communities can be affected. Adapting lessons learned from the rich literature on HIV-related stigma, we propose a strategy for reducing stigma during infectious disease outbreaks such as Ebola virus disease and Zika virus. The implementation of brief, practical strategies such as the ones proposed here might help reduce stigma and facilitate more effective control of emerging infectious diseases.

Indexed as

Disease OutbreaksSocial StigmaHaitiHemorrhagic Fever, EbolaHIV InfectionsHumansInfluenza A Virus, H1N1 SubtypeInfluenza, HumanZika VirusZika Virus Infectioninfectious diseasepublic health responsestigma

Identifiers

PMID31156079
PMCPMC6889068
OpenAlexW2948516466

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.