社会化一种健康:一种调查新出现的病毒威胁的社会和行为风险的创新战略。

Karen Saylors, David J Wolking, Emily Hagan, Stephanie Martinez, Leilani Francisco, Jason Euren, Sarah H Olson, Maureen Miller, Amanda E Fine, Nga Nguyen Thi Thanh, Phuc Tran Minh, Jusuf D Kalengkongan, Tina Kusumaningrum, Alice Latinne, Joko Pamungkas, Dodi Safari, Suryo Saputro, Djeneba Bamba, Kalpy Julien Coulibaly, Mireille Dosso, Anne Laudisoit, Kouassi Manzan N'guettia Jean, Shusmita Dutta, Ariful Islam, Shahanaj Shano, Mwokozi I Mwanzalila, Ian P Trupin, Aiah Gbakima, James Bangura, Sylvester T Yondah, Dibesh Karmacharya, Rima D Shrestha, Marcelle Annie Matsida Kamta, Mohamed Moctar Mouliom Mouiche, Hilarion Moukala Ndolo, Fabien Roch Niama, Dionne Onikrotin, Peter Daszak, Christine K Johnson, Jonna A K Mazet
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引用次数: 19

摘要

为了加强全球预防、检测和控制动物和人类传染病的能力,美国国际开发署(USAID)的“新兴大流行威胁预测”(EPT)项目资助了地区、国家和地方“同一个健康”项目的能力建设,以实现疾病的早期检测、快速反应、疾病控制和降低风险。从一开始,EPT方法就包含了社会科学研究方法,旨在了解在被认为是病毒出现高风险的人-动物-环境界面生活和工作的社区的背景和行为。PREDICT行为研究采用定性和定量方法,旨在识别和评估可能对人畜共患疾病的出现、扩大和传播产生影响的一系列社会文化行为。这种广泛的行为风险表征方法使我们能够识别和表征可能与新出现的病毒的传播动态有关的人类活动。本文提供了在人畜共患病监测框架内实施社会科学方法的讨论。我们进行了深入的人种学访谈和焦点小组,以更好地了解个人和社区层面的知识、态度和做法,这些知识、态度和做法可能使参与者面临从他们生活和工作的动物传播人畜共患疾病的风险,涉及6个界面域。当我们询问高度暴露的个体(即。丛林肉猎人,野生动物或鸟粪农民)关于他们在职业活动中感知到的风险,大多数人并不认为这是有风险的,无论是因为多年(或几代人)从事此类活动,还是由于缺乏有关潜在风险的信息。整合社会科学可以对特定的人类活动进行调查,这些活动被假设为推动疾病的出现、扩大和传播,以便更好地证实行为疾病驱动因素,以及感染和传播动态的社会层面。了解这些动态对于实现卫生安全(即保护健康免受威胁)至关重要,这需要在集体和个人卫生安全方面进行投资。将行为科学纳入人畜共患疾病监测,使我们能够推动更充分的社区整合和参与,并推动对话和实施疾病预防和改善卫生安全的建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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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 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.

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