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Socializing One Health: an innovative strategy to investigate social and behavioral risks of emerging viral threats

In an effort to strengthen global capacity to prevent, detect, and control infectious diseases in animals and people, the United States Agency for International Development’s (USAID) Emerging Pandemic Threats (EPT) PREDICT project funded development of regional, national, and local One Health capaci...

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Autores principales: Saylors, Karen, Wolking, David J., Hagan, Emily, Martinez, Stephanie, Francisco, Leilani, Euren, Jason, Olson, Sarah H., Miller, Maureen, Fine, Amanda E., Thanh, Nga Nguyen Thi, Tran Minh, Phuc, Kalengkongan, Jusuf D., Kusumaningrum, Tina, Latinne, Alice, Pamungkas, Joko, Safari, Dodi, Saputro, Suryo, Bamba, Djeneba, Coulibaly, Kalpy Julien, Dosso, Mireille, Laudisoit, Anne, N’guettia Jean, Kouassi Manzan, Dutta, Shusmita, Islam, Ariful, Shano, Shahanaj, Mwanzalila, Mwokozi I., Trupin, Ian P., Gbakima, Aiah, Bangura, James, Yondah, Sylvester T., Karmacharya, Dibesh, Shrestha, Rima D., Kamta, Marcelle Annie Matsida, Mouiche, Mohamed Moctar Mouliom, Ndolo, Hilarion Moukala, Niama, Fabien Roch, Onikrotin, Dionne, Daszak, Peter, Johnson, Christine K., Mazet, Jonna A. K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8122533/
https://www.ncbi.nlm.nih.gov/pubmed/33990224
http://dx.doi.org/10.1186/s42522-021-00036-9
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author Saylors, Karen
Wolking, David J.
Hagan, Emily
Martinez, Stephanie
Francisco, Leilani
Euren, Jason
Olson, Sarah H.
Miller, Maureen
Fine, Amanda E.
Thanh, Nga Nguyen Thi
Tran Minh, Phuc
Kalengkongan, Jusuf D.
Kusumaningrum, Tina
Latinne, Alice
Pamungkas, Joko
Safari, Dodi
Saputro, Suryo
Bamba, Djeneba
Coulibaly, Kalpy Julien
Dosso, Mireille
Laudisoit, Anne
N’guettia Jean, Kouassi Manzan
Dutta, Shusmita
Islam, Ariful
Shano, Shahanaj
Mwanzalila, Mwokozi I.
Trupin, Ian P.
Gbakima, Aiah
Bangura, James
Yondah, Sylvester T.
Karmacharya, Dibesh
Shrestha, Rima D.
Kamta, Marcelle Annie Matsida
Mouiche, Mohamed Moctar Mouliom
Ndolo, Hilarion Moukala
Niama, Fabien Roch
Onikrotin, Dionne
Daszak, Peter
Johnson, Christine K.
Mazet, Jonna A. K.
author_facet Saylors, Karen
Wolking, David J.
Hagan, Emily
Martinez, Stephanie
Francisco, Leilani
Euren, Jason
Olson, Sarah H.
Miller, Maureen
Fine, Amanda E.
Thanh, Nga Nguyen Thi
Tran Minh, Phuc
Kalengkongan, Jusuf D.
Kusumaningrum, Tina
Latinne, Alice
Pamungkas, Joko
Safari, Dodi
Saputro, Suryo
Bamba, Djeneba
Coulibaly, Kalpy Julien
Dosso, Mireille
Laudisoit, Anne
N’guettia Jean, Kouassi Manzan
Dutta, Shusmita
Islam, Ariful
Shano, Shahanaj
Mwanzalila, Mwokozi I.
Trupin, Ian P.
Gbakima, Aiah
Bangura, James
Yondah, Sylvester T.
Karmacharya, Dibesh
Shrestha, Rima D.
Kamta, Marcelle Annie Matsida
Mouiche, Mohamed Moctar Mouliom
Ndolo, Hilarion Moukala
Niama, Fabien Roch
Onikrotin, Dionne
Daszak, Peter
Johnson, Christine K.
Mazet, Jonna A. K.
author_sort Saylors, Karen
collection PubMed
description In an effort to strengthen global capacity to prevent, detect, and control infectious diseases in animals and people, the United States Agency for International Development’s (USAID) Emerging Pandemic Threats (EPT) PREDICT project funded development of regional, national, and local One Health capacities for early disease detection, rapid response, disease control, and risk reduction. From the outset, the EPT approach was inclusive of social science research methods designed to understand the contexts and behaviors of communities living and working at human-animal-environment interfaces considered high-risk for virus emergence. Using qualitative and quantitative approaches, PREDICT behavioral research aimed to identify and assess a range of socio-cultural behaviors that could be influential in zoonotic disease emergence, amplification, and transmission. This broad approach to behavioral risk characterization enabled us to identify and characterize human activities that could be linked to the transmission dynamics of new and emerging viruses. This paper provides a discussion of implementation of a social science approach within a zoonotic surveillance framework. We conducted in-depth ethnographic interviews and focus groups to better understand the individual- and community-level knowledge, attitudes, and practices that potentially put participants at risk for zoonotic disease transmission from the animals they live and work with, across 6 interface domains. When we asked highly-exposed individuals (ie. bushmeat hunters, wildlife or guano farmers) about the risk they perceived in their occupational activities, most did not perceive it to be risky, whether because it was normalized by years (or generations) of doing such an activity, or due to lack of information about potential risks. Integrating the social sciences allows investigations of the specific human activities that are hypothesized to drive disease emergence, amplification, and transmission, in order to better substantiate behavioral disease drivers, along with the social dimensions of infection and transmission dynamics. Understanding these dynamics is critical to achieving health security--the protection from threats to health-- which requires investments in both collective and individual health security. Involving behavioral sciences into zoonotic disease surveillance allowed us to push toward fuller community integration and engagement and toward dialogue and implementation of recommendations for disease prevention and improved health security. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s42522-021-00036-9.
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spelling pubmed-81225332021-05-17 Socializing One Health: an innovative strategy to investigate social and behavioral risks of emerging viral threats Saylors, Karen Wolking, David J. Hagan, Emily Martinez, Stephanie Francisco, Leilani Euren, Jason Olson, Sarah H. Miller, Maureen Fine, Amanda E. Thanh, Nga Nguyen Thi Tran Minh, Phuc Kalengkongan, Jusuf D. Kusumaningrum, Tina Latinne, Alice Pamungkas, Joko Safari, Dodi Saputro, Suryo Bamba, Djeneba Coulibaly, Kalpy Julien Dosso, Mireille Laudisoit, Anne N’guettia Jean, Kouassi Manzan Dutta, Shusmita Islam, Ariful Shano, Shahanaj Mwanzalila, Mwokozi I. Trupin, Ian P. Gbakima, Aiah Bangura, James Yondah, Sylvester T. Karmacharya, Dibesh Shrestha, Rima D. Kamta, Marcelle Annie Matsida Mouiche, Mohamed Moctar Mouliom Ndolo, Hilarion Moukala Niama, Fabien Roch Onikrotin, Dionne Daszak, Peter Johnson, Christine K. Mazet, Jonna A. K. One Health Outlook Research In an effort to strengthen global capacity to prevent, detect, and control infectious diseases in animals and people, the United States Agency for International Development’s (USAID) Emerging Pandemic Threats (EPT) PREDICT project funded development of regional, national, and local One Health capacities for early disease detection, rapid response, disease control, and risk reduction. From the outset, the EPT approach was inclusive of social science research methods designed to understand the contexts and behaviors of communities living and working at human-animal-environment interfaces considered high-risk for virus emergence. Using qualitative and quantitative approaches, PREDICT behavioral research aimed to identify and assess a range of socio-cultural behaviors that could be influential in zoonotic disease emergence, amplification, and transmission. This broad approach to behavioral risk characterization enabled us to identify and characterize human activities that could be linked to the transmission dynamics of new and emerging viruses. This paper provides a discussion of implementation of a social science approach within a zoonotic surveillance framework. We conducted in-depth ethnographic interviews and focus groups to better understand the individual- and community-level knowledge, attitudes, and practices that potentially put participants at risk for zoonotic disease transmission from the animals they live and work with, across 6 interface domains. When we asked highly-exposed individuals (ie. bushmeat hunters, wildlife or guano farmers) about the risk they perceived in their occupational activities, most did not perceive it to be risky, whether because it was normalized by years (or generations) of doing such an activity, or due to lack of information about potential risks. Integrating the social sciences allows investigations of the specific human activities that are hypothesized to drive disease emergence, amplification, and transmission, in order to better substantiate behavioral disease drivers, along with the social dimensions of infection and transmission dynamics. Understanding these dynamics is critical to achieving health security--the protection from threats to health-- which requires investments in both collective and individual health security. Involving behavioral sciences into zoonotic disease surveillance allowed us to push toward fuller community integration and engagement and toward dialogue and implementation of recommendations for disease prevention and improved health security. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s42522-021-00036-9. BioMed Central 2021-05-14 /pmc/articles/PMC8122533/ /pubmed/33990224 http://dx.doi.org/10.1186/s42522-021-00036-9 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research
Saylors, Karen
Wolking, David J.
Hagan, Emily
Martinez, Stephanie
Francisco, Leilani
Euren, Jason
Olson, Sarah H.
Miller, Maureen
Fine, Amanda E.
Thanh, Nga Nguyen Thi
Tran Minh, Phuc
Kalengkongan, Jusuf D.
Kusumaningrum, Tina
Latinne, Alice
Pamungkas, Joko
Safari, Dodi
Saputro, Suryo
Bamba, Djeneba
Coulibaly, Kalpy Julien
Dosso, Mireille
Laudisoit, Anne
N’guettia Jean, Kouassi Manzan
Dutta, Shusmita
Islam, Ariful
Shano, Shahanaj
Mwanzalila, Mwokozi I.
Trupin, Ian P.
Gbakima, Aiah
Bangura, James
Yondah, Sylvester T.
Karmacharya, Dibesh
Shrestha, Rima D.
Kamta, Marcelle Annie Matsida
Mouiche, Mohamed Moctar Mouliom
Ndolo, Hilarion Moukala
Niama, Fabien Roch
Onikrotin, Dionne
Daszak, Peter
Johnson, Christine K.
Mazet, Jonna A. K.
Socializing One Health: an innovative strategy to investigate social and behavioral risks of emerging viral threats
title Socializing One Health: an innovative strategy to investigate social and behavioral risks of emerging viral threats
title_full Socializing One Health: an innovative strategy to investigate social and behavioral risks of emerging viral threats
title_fullStr Socializing One Health: an innovative strategy to investigate social and behavioral risks of emerging viral threats
title_full_unstemmed Socializing One Health: an innovative strategy to investigate social and behavioral risks of emerging viral threats
title_short Socializing One Health: an innovative strategy to investigate social and behavioral risks of emerging viral threats
title_sort socializing one health: an innovative strategy to investigate social and behavioral risks of emerging viral threats
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8122533/
https://www.ncbi.nlm.nih.gov/pubmed/33990224
http://dx.doi.org/10.1186/s42522-021-00036-9
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