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Evaluating livestock farmers knowledge, beliefs, and management of arboviral diseases in Kenya: A multivariate fractional probit approach

Globally, arthropod-borne virus (arbovirus) infections continue to pose substantial threats to public health and economic development, especially in developing countries. In Kenya, although arboviral diseases (ADs) are largely endemic, little is known about the factors influencing livestock farmers’...

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Detalles Bibliográficos
Autores principales: Nyangau, Paul Nyamweya, Nzuma, Jonathan Makau, Irungu, Patrick, Kassie, Menale
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8478187/
https://www.ncbi.nlm.nih.gov/pubmed/34529687
http://dx.doi.org/10.1371/journal.pntd.0009786
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author Nyangau, Paul Nyamweya
Nzuma, Jonathan Makau
Irungu, Patrick
Kassie, Menale
author_facet Nyangau, Paul Nyamweya
Nzuma, Jonathan Makau
Irungu, Patrick
Kassie, Menale
author_sort Nyangau, Paul Nyamweya
collection PubMed
description Globally, arthropod-borne virus (arbovirus) infections continue to pose substantial threats to public health and economic development, especially in developing countries. In Kenya, although arboviral diseases (ADs) are largely endemic, little is known about the factors influencing livestock farmers’ knowledge, beliefs, and management (KBM) of the three major ADs: Rift Valley fever (RVF), dengue fever and chikungunya fever. This study evaluates the drivers of livestock farmers’ KBM of ADs from a sample of 629 respondents selected using a three-stage sampling procedure in Kenya’s three hotspot counties of Baringo, Kwale, and Kilifi. A multivariate fractional probit model was used to assess the factors influencing the intensity of KBM. Only a quarter of the farmers had any knowledge of ADs while over four-fifths of them could not manage any of the three diseases. Access to information (experience and awareness), income, education, religion, and distance to a health facility considerably influenced the intensity of farmers’ KBM of ADs in Kenya. Thus, initiatives geared towards improving access to information through massive awareness campaigns are necessary to mitigate behavioral barriers in ADs management among rural communities in Kenya.
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spelling pubmed-84781872021-09-29 Evaluating livestock farmers knowledge, beliefs, and management of arboviral diseases in Kenya: A multivariate fractional probit approach Nyangau, Paul Nyamweya Nzuma, Jonathan Makau Irungu, Patrick Kassie, Menale PLoS Negl Trop Dis Research Article Globally, arthropod-borne virus (arbovirus) infections continue to pose substantial threats to public health and economic development, especially in developing countries. In Kenya, although arboviral diseases (ADs) are largely endemic, little is known about the factors influencing livestock farmers’ knowledge, beliefs, and management (KBM) of the three major ADs: Rift Valley fever (RVF), dengue fever and chikungunya fever. This study evaluates the drivers of livestock farmers’ KBM of ADs from a sample of 629 respondents selected using a three-stage sampling procedure in Kenya’s three hotspot counties of Baringo, Kwale, and Kilifi. A multivariate fractional probit model was used to assess the factors influencing the intensity of KBM. Only a quarter of the farmers had any knowledge of ADs while over four-fifths of them could not manage any of the three diseases. Access to information (experience and awareness), income, education, religion, and distance to a health facility considerably influenced the intensity of farmers’ KBM of ADs in Kenya. Thus, initiatives geared towards improving access to information through massive awareness campaigns are necessary to mitigate behavioral barriers in ADs management among rural communities in Kenya. Public Library of Science 2021-09-16 /pmc/articles/PMC8478187/ /pubmed/34529687 http://dx.doi.org/10.1371/journal.pntd.0009786 Text en © 2021 Nyangau et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Nyangau, Paul Nyamweya
Nzuma, Jonathan Makau
Irungu, Patrick
Kassie, Menale
Evaluating livestock farmers knowledge, beliefs, and management of arboviral diseases in Kenya: A multivariate fractional probit approach
title Evaluating livestock farmers knowledge, beliefs, and management of arboviral diseases in Kenya: A multivariate fractional probit approach
title_full Evaluating livestock farmers knowledge, beliefs, and management of arboviral diseases in Kenya: A multivariate fractional probit approach
title_fullStr Evaluating livestock farmers knowledge, beliefs, and management of arboviral diseases in Kenya: A multivariate fractional probit approach
title_full_unstemmed Evaluating livestock farmers knowledge, beliefs, and management of arboviral diseases in Kenya: A multivariate fractional probit approach
title_short Evaluating livestock farmers knowledge, beliefs, and management of arboviral diseases in Kenya: A multivariate fractional probit approach
title_sort evaluating livestock farmers knowledge, beliefs, and management of arboviral diseases in kenya: a multivariate fractional probit approach
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8478187/
https://www.ncbi.nlm.nih.gov/pubmed/34529687
http://dx.doi.org/10.1371/journal.pntd.0009786
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