Benelli Giovanni, Duggan Mary Frances
Department of Agriculture, Food and Environment, University of Pisa, via del Borghetto 80, 56124, Pisa, Italy; The BioRobotics Institute, Sant'Anna School of Advanced Studies, viale Rinaldo Piaggio 34, 56025, Pontedera, Pisa, Italy.
Benjamin Franklin Institute of Technology, Boston, MA, United States.
Acta Trop. 2018 Jun;182:80-91. doi: 10.1016/j.actatropica.2018.02.015. Epub 2018 Feb 16.
Emerging infectious diseases (EIDs) are spread by direct and/or indirect contacts between a pathogen or parasite and their hosts. Arthropod vectors have evolved as excellent bloodsuckers, providing an elegant transportation mode for a wide number of infectious agents. The nature of pathogen and parasite transfer and the models used to predict how a disease might spread are magnified in complexity when an arthropod vector is part of the disease cycle. One Health is a worldwide strategy for expanding interdisciplinary collaborations and communications in all aspects of health care for humans, animals and the environment. It would benefit from a structured analysis to address vectoring of arthropod-borne diseases as a dynamic transactional process. This review focused on how arthropod vector data can be used to better model and predict zoonotic disease outbreaks. With enhanced knowledge to describe arthropod vector disease transfer, researchers will have a better understanding about how to model disease outbreaks. As public health research evolves to include more social-ecological systems, the roles of society, ecology, epidemiology, pathogen/parasite evolution and animal behavior can be better captured in the research design. Overall, because of more collaborative data collection processes on arthropod vectors, disease modeling can better predict conditions where EIDs will occur.
新发传染病(EIDs)通过病原体或寄生虫与其宿主之间的直接和/或间接接触传播。节肢动物媒介已经进化成为出色的吸血者,为多种传染因子提供了一种绝佳的传播方式。当节肢动物媒介成为疾病传播周期的一部分时,病原体和寄生虫传播的本质以及用于预测疾病可能如何传播的模型的复杂性就会增加。“同一健康”是一项全球战略,旨在扩大在人类、动物和环境卫生保健各个方面的跨学科合作与交流。它将受益于一项结构化分析,以将虫媒疾病的传播作为一个动态的交易过程来处理。本综述重点关注节肢动物媒介数据如何能够用于更好地建模和预测人畜共患病的爆发。随着描述节肢动物媒介疾病传播的知识不断增加,研究人员将能更好地理解如何对疾病爆发进行建模。随着公共卫生研究的发展,纳入更多社会生态系统,社会、生态、流行病学、病原体/寄生虫进化和动物行为的作用在研究设计中能够得到更好的体现。总体而言,由于对节肢动物媒介进行了更多协作性的数据收集工作,疾病建模能够更好地预测新发传染病将会发生的情况。