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Predicting risk of avian influenza a(H5N1) in Egypt: the creation of a community level metric
BACKGROUND: Efficient A(H5N1) control is unlikely to be based on epidemiological data alone. Such control depends on a thorough understanding and appreciation of the interconnectedness of epidemiological, social, and economic factors that contribute to A(H5N1) vulnerability. To date, the control of...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5863456/ https://www.ncbi.nlm.nih.gov/pubmed/29562878 http://dx.doi.org/10.1186/s12889-018-5288-x |
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author | Geerlings, Ellen C. L. Heffernan, Claire |
author_facet | Geerlings, Ellen C. L. Heffernan, Claire |
author_sort | Geerlings, Ellen C. L. |
collection | PubMed |
description | BACKGROUND: Efficient A(H5N1) control is unlikely to be based on epidemiological data alone. Such control depends on a thorough understanding and appreciation of the interconnectedness of epidemiological, social, and economic factors that contribute to A(H5N1) vulnerability. To date, the control of A(H5N1) in Egypt has been challenging. The disease has been endemic for more than 10 years with a dramatic increase in human cases between December 2014 and March 2015. Part of the problem has been a lack of understanding of the inter-play of drivers, conditions and motives that influence preventive behaviours at the household level. METHODS: To address this issue, the authors developed a Composite Risk Index (CRI) to inform decision-makers of critical epidemiological, livelihood, food security and risk perception factors that were found to contribute to A(H5N1) vulnerability at the community level. The CRI consists of seven constructs that were individually scored for each community. The seven constructs included poultry sales, previous flock exposure to A(H5N1), human risk probability, sense of control over the disease, preventative actions taken, level of household food insecurity and community norms toward certain handling and disposal practices. One hundred forty female poultry keepers across four governorates were interviewed in 2010 using a mix of random and purposive sampling techniques. A mixed method approach underpinned the analysis. The study used wealth ranking in order to help decision-makers in understanding the specific constraints of different wealth groups and aid better targeting of A(H5N1) control and prevention strategies. RESULTS: Poverty, widowhood and lack of education were among the factors associated with high risk scores. CRI scores in those villages where awareness raising had taken place were not significantly different compared to those villages where awareness raising had not taken place. CONCLUSIONS: The aim of the tool is to enable targeting those communities that are likely to be highly vulnerable to A(H5N1) outbreaks and where control and awareness-raising efforts are expected to be most effective. In this manner, policy makers and practitioners will be able to better allocate limited resources to those communities most vulnerable to the negative impact of A(H5N1). ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12889-018-5288-x) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5863456 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-58634562018-03-27 Predicting risk of avian influenza a(H5N1) in Egypt: the creation of a community level metric Geerlings, Ellen C. L. Heffernan, Claire BMC Public Health Research Article BACKGROUND: Efficient A(H5N1) control is unlikely to be based on epidemiological data alone. Such control depends on a thorough understanding and appreciation of the interconnectedness of epidemiological, social, and economic factors that contribute to A(H5N1) vulnerability. To date, the control of A(H5N1) in Egypt has been challenging. The disease has been endemic for more than 10 years with a dramatic increase in human cases between December 2014 and March 2015. Part of the problem has been a lack of understanding of the inter-play of drivers, conditions and motives that influence preventive behaviours at the household level. METHODS: To address this issue, the authors developed a Composite Risk Index (CRI) to inform decision-makers of critical epidemiological, livelihood, food security and risk perception factors that were found to contribute to A(H5N1) vulnerability at the community level. The CRI consists of seven constructs that were individually scored for each community. The seven constructs included poultry sales, previous flock exposure to A(H5N1), human risk probability, sense of control over the disease, preventative actions taken, level of household food insecurity and community norms toward certain handling and disposal practices. One hundred forty female poultry keepers across four governorates were interviewed in 2010 using a mix of random and purposive sampling techniques. A mixed method approach underpinned the analysis. The study used wealth ranking in order to help decision-makers in understanding the specific constraints of different wealth groups and aid better targeting of A(H5N1) control and prevention strategies. RESULTS: Poverty, widowhood and lack of education were among the factors associated with high risk scores. CRI scores in those villages where awareness raising had taken place were not significantly different compared to those villages where awareness raising had not taken place. CONCLUSIONS: The aim of the tool is to enable targeting those communities that are likely to be highly vulnerable to A(H5N1) outbreaks and where control and awareness-raising efforts are expected to be most effective. In this manner, policy makers and practitioners will be able to better allocate limited resources to those communities most vulnerable to the negative impact of A(H5N1). ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12889-018-5288-x) contains supplementary material, which is available to authorized users. BioMed Central 2018-03-21 /pmc/articles/PMC5863456/ /pubmed/29562878 http://dx.doi.org/10.1186/s12889-018-5288-x Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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. |
spellingShingle | Research Article Geerlings, Ellen C. L. Heffernan, Claire Predicting risk of avian influenza a(H5N1) in Egypt: the creation of a community level metric |
title | Predicting risk of avian influenza a(H5N1) in Egypt: the creation of a community level metric |
title_full | Predicting risk of avian influenza a(H5N1) in Egypt: the creation of a community level metric |
title_fullStr | Predicting risk of avian influenza a(H5N1) in Egypt: the creation of a community level metric |
title_full_unstemmed | Predicting risk of avian influenza a(H5N1) in Egypt: the creation of a community level metric |
title_short | Predicting risk of avian influenza a(H5N1) in Egypt: the creation of a community level metric |
title_sort | predicting risk of avian influenza a(h5n1) in egypt: the creation of a community level metric |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5863456/ https://www.ncbi.nlm.nih.gov/pubmed/29562878 http://dx.doi.org/10.1186/s12889-018-5288-x |
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