| Literature DB >> 33990224 |
Christine K Johnson1, Jonna A K Mazet1, Karen Saylors2, David J Wolking1, Emily Hagan3, Stephanie Martinez3, Leilani Francisco4, Jason Euren5, Sarah H Olson6, Maureen Miller7, Amanda E Fine6, Nga Nguyen Thi Thanh8, Phuc Tran Minh8, Jusuf D Kalengkongan3, Tina Kusumaningrum9, Alice Latinne3, Joko Pamungkas10, Dodi Safari9, Suryo Saputro10, Djeneba Bamba11, Kalpy Julien Coulibaly11, Mireille Dosso11, Anne Laudisoit3, Kouassi Manzan N'guettia Jean11, Shusmita Dutta12, Ariful Islam3, Shahanaj Shano3,12, Mwokozi I Mwanzalila13, Ian P Trupin1, Aiah Gbakima1, James Bangura1, Sylvester T Yondah14, Dibesh Karmacharya15, Rima D Shrestha1, Marcelle Annie Matsida Kamta16, Mohamed Moctar Mouliom Mouiche17, Hilarion Moukala Ndolo18, Fabien Roch Niama19, Dionne Onikrotin18, Peter Daszak3.
Abstract
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.Entities:
Keywords: Behavioral risk; Multi-disciplinary surveillance; One health; Social science research
Year: 2021 PMID: 33990224 DOI: 10.1186/s42522-021-00036-9
Source DB: PubMed Journal: One Health Outlook ISSN: 2524-4655