Cargando…

Risk perception during the 2014–2015 Ebola outbreak in Sierra Leone

BACKGROUND: Perceived susceptibility to a disease threat (risk perception) can influence protective behaviour. This study aims to determine how exposure to information sources, knowledge and behaviours potentially influenced risk perceptions during the 2014–2015 Ebola Virus Disease outbreak in Sierr...

Descripción completa

Detalles Bibliográficos
Autores principales: Winters, Maike, Jalloh, Mohamed F., Sengeh, Paul, Jalloh, Mohammad B., Zeebari, Zangin, Nordenstedt, Helena
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7549333/
https://www.ncbi.nlm.nih.gov/pubmed/33046052
http://dx.doi.org/10.1186/s12889-020-09648-8
_version_ 1783592776099692544
author Winters, Maike
Jalloh, Mohamed F.
Sengeh, Paul
Jalloh, Mohammad B.
Zeebari, Zangin
Nordenstedt, Helena
author_facet Winters, Maike
Jalloh, Mohamed F.
Sengeh, Paul
Jalloh, Mohammad B.
Zeebari, Zangin
Nordenstedt, Helena
author_sort Winters, Maike
collection PubMed
description BACKGROUND: Perceived susceptibility to a disease threat (risk perception) can influence protective behaviour. This study aims to determine how exposure to information sources, knowledge and behaviours potentially influenced risk perceptions during the 2014–2015 Ebola Virus Disease outbreak in Sierra Leone. METHODS: The study is based on three cross-sectional, national surveys (August 2014, n = 1413; October 2014, n = 2086; December 2014, n = 3540) that measured Ebola-related knowledge, attitudes, and practices in Sierra Leone. Data were pooled and composite variables were created for knowledge, misconceptions and three Ebola-specific behaviours. Risk perception was measured using a Likert-item and dichotomised into ‘no risk perception’ and ‘some risk perception’. Exposure to five information sources was dichotomised into a binary variable for exposed and unexposed. Multilevel logistic regression models were fitted to examine various associations. RESULTS: Exposure to new media (e.g. internet) and community-level information sources (e.g. religious leaders) were positively associated with expressing risk perception. Ebola-specific knowledge and hand washing were positively associated with expressing risk perception (Adjusted OR [AOR] 1.4, 95% Confidence Interval [CI] 1.2–1.8 and AOR 1.4, 95% CI 1.1–1.7 respectively), whereas misconceptions and avoiding burials were negatively associated with risk perception, (AOR 0.7, 95% CI 0.6–0.8 and AOR 0.8, 95% CI 06–1.0, respectively). CONCLUSIONS: Our results illustrate the complexity of how individuals perceived their Ebola acquisition risk based on the way they received information, what they knew about Ebola, and actions they took to protect themselves. Community-level information sources may help to align the public’s perceived risk with their actual epidemiological risk. As part of global health security efforts, increased investments are needed for community-level engagements that allow for two-way communication during health emergencies.
format Online
Article
Text
id pubmed-7549333
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-75493332020-10-13 Risk perception during the 2014–2015 Ebola outbreak in Sierra Leone Winters, Maike Jalloh, Mohamed F. Sengeh, Paul Jalloh, Mohammad B. Zeebari, Zangin Nordenstedt, Helena BMC Public Health Research Article BACKGROUND: Perceived susceptibility to a disease threat (risk perception) can influence protective behaviour. This study aims to determine how exposure to information sources, knowledge and behaviours potentially influenced risk perceptions during the 2014–2015 Ebola Virus Disease outbreak in Sierra Leone. METHODS: The study is based on three cross-sectional, national surveys (August 2014, n = 1413; October 2014, n = 2086; December 2014, n = 3540) that measured Ebola-related knowledge, attitudes, and practices in Sierra Leone. Data were pooled and composite variables were created for knowledge, misconceptions and three Ebola-specific behaviours. Risk perception was measured using a Likert-item and dichotomised into ‘no risk perception’ and ‘some risk perception’. Exposure to five information sources was dichotomised into a binary variable for exposed and unexposed. Multilevel logistic regression models were fitted to examine various associations. RESULTS: Exposure to new media (e.g. internet) and community-level information sources (e.g. religious leaders) were positively associated with expressing risk perception. Ebola-specific knowledge and hand washing were positively associated with expressing risk perception (Adjusted OR [AOR] 1.4, 95% Confidence Interval [CI] 1.2–1.8 and AOR 1.4, 95% CI 1.1–1.7 respectively), whereas misconceptions and avoiding burials were negatively associated with risk perception, (AOR 0.7, 95% CI 0.6–0.8 and AOR 0.8, 95% CI 06–1.0, respectively). CONCLUSIONS: Our results illustrate the complexity of how individuals perceived their Ebola acquisition risk based on the way they received information, what they knew about Ebola, and actions they took to protect themselves. Community-level information sources may help to align the public’s perceived risk with their actual epidemiological risk. As part of global health security efforts, increased investments are needed for community-level engagements that allow for two-way communication during health emergencies. BioMed Central 2020-10-12 /pmc/articles/PMC7549333/ /pubmed/33046052 http://dx.doi.org/10.1186/s12889-020-09648-8 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Winters, Maike
Jalloh, Mohamed F.
Sengeh, Paul
Jalloh, Mohammad B.
Zeebari, Zangin
Nordenstedt, Helena
Risk perception during the 2014–2015 Ebola outbreak in Sierra Leone
title Risk perception during the 2014–2015 Ebola outbreak in Sierra Leone
title_full Risk perception during the 2014–2015 Ebola outbreak in Sierra Leone
title_fullStr Risk perception during the 2014–2015 Ebola outbreak in Sierra Leone
title_full_unstemmed Risk perception during the 2014–2015 Ebola outbreak in Sierra Leone
title_short Risk perception during the 2014–2015 Ebola outbreak in Sierra Leone
title_sort risk perception during the 2014–2015 ebola outbreak in sierra leone
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7549333/
https://www.ncbi.nlm.nih.gov/pubmed/33046052
http://dx.doi.org/10.1186/s12889-020-09648-8
work_keys_str_mv AT wintersmaike riskperceptionduringthe20142015ebolaoutbreakinsierraleone
AT jallohmohamedf riskperceptionduringthe20142015ebolaoutbreakinsierraleone
AT sengehpaul riskperceptionduringthe20142015ebolaoutbreakinsierraleone
AT jallohmohammadb riskperceptionduringthe20142015ebolaoutbreakinsierraleone
AT zeebarizangin riskperceptionduringthe20142015ebolaoutbreakinsierraleone
AT nordenstedthelena riskperceptionduringthe20142015ebolaoutbreakinsierraleone