Rutgers University, New Brunswick, New Jersey.
UNICEF, New York, New York.
J Infect Dis. 2018 Oct 20;218(11):1730-1738. doi: 10.1093/infdis/jiy387.
This systematic literature review compared the epidemiological (EPI) research and the qualitative social and behavioral science (SBS) research published during the West Africa Ebola virus disease (EVD) epidemic. Beginning with an initial capture of over 2000 articles, we extracted 236 EPI and 171 SBS studies to examine how disciplinary priorities affected research conducted during the EVD response, with implications for epidemic response effectiveness. Building on this research, we set forth a roadmap for the closer integration of EPI and SBS research in all aspects of epidemic preparedness and response that incorporates the lessons of the West Africa EVD outbreak. Key priorities include the following: (1) developing the capacity to systematically quantify qualitative sociocultural variables; (2) establishing interdisciplinary collaborations to improve "risk segmentation" practices; (3) creating and prepositioning qualitative indicators and composite sociocultural indexes for rapid deployment in outbreaks; (4) integrating novel systems with community resources; (5) developing new techniques for modeling social mobilization and community engagement; (6) prioritizing good data and complex analyses early in emergencies; and (7) learning from past experiences. Our findings support a program of action that situates data collection and analysis in real-time, recursive, integrated efforts to move community attitudes, behaviors, and responses into epidemiological research. We offer recommendations to improve coordinated, multidisciplinary approaches to health emergencies.
本系统文献回顾比较了在西非埃博拉病毒病(EVD)流行期间发表的流行病学(EPI)研究和定性社会及行为科学(SBS)研究。从最初捕获的 2000 多篇文章开始,我们提取了 236 项 EPI 和 171 项 SBS 研究,以考察学科重点如何影响 EVD 应对期间开展的研究,以及对疫情应对效果的影响。在此基础上,我们为更紧密地整合 EPI 和 SBS 研究制定了路线图,将其纳入所有疫情防范和应对方面,吸取西非 EVD 疫情的经验教训。主要优先事项包括:(1)发展系统地量化定性社会文化变量的能力;(2)建立跨学科合作,改善“风险细分”实践;(3)创建和预置定性指标和综合社会文化指数,以便在疫情爆发时快速部署;(4)将新系统与社区资源相结合;(5)开发用于模拟社会动员和社区参与的新技术;(6)在紧急情况早期优先考虑良好的数据和复杂分析;(7)从过去的经验中学习。我们的研究结果支持一项行动计划,即将数据收集和分析置于实时、递归、综合的努力之中,以推动社区态度、行为和反应进入流行病学研究。我们提出了改进协调、多学科应对卫生紧急情况的建议。