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季节性人口流动与传染病的监测和控制

Seasonal Population Movements and the Surveillance and Control of Infectious Diseases.

作者信息

Buckee Caroline O, Tatem Andrew J, Metcalf C Jessica E

机构信息

Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, USA; Center for Communicable Disease Dynamics, Harvard T.H. Chan School of Public Health, Boston, USA.

Flowminder Foundation, Stockholm, Sweden; WorldPop, Department of Geography and Environment, University of Southampton, Southampton, UK.

出版信息

Trends Parasitol. 2017 Jan;33(1):10-20. doi: 10.1016/j.pt.2016.10.006. Epub 2016 Nov 16.

Abstract

National policies designed to control infectious diseases should allocate resources for interventions based on regional estimates of disease burden from surveillance systems. For many infectious diseases, however, there is pronounced seasonal variation in incidence. Policy-makers must routinely manage a public health response to these seasonal fluctuations with limited understanding of their underlying causes. Two complementary and poorly described drivers of seasonal disease incidence are the mobility and aggregation of human populations, which spark outbreaks and sustain transmission, respectively, and may both exhibit distinct seasonal variations. Here we highlight the key challenges that seasonal migration creates when monitoring and controlling infectious diseases. We discuss the potential of new data sources in accounting for seasonal population movements in dynamic risk mapping strategies.

摘要

旨在控制传染病的国家政策应根据监测系统对区域疾病负担的估计来分配干预资源。然而,对于许多传染病来说,发病率存在明显的季节性变化。政策制定者必须在对其潜在原因了解有限的情况下,例行管理针对这些季节性波动的公共卫生应对措施。季节性疾病发病率的两个相互补充且描述不足的驱动因素是人群的流动性和聚集性,它们分别引发疫情并维持传播,而且可能都呈现出明显的季节性变化。在此,我们强调季节性迁移在监测和控制传染病时带来的关键挑战。我们讨论了新数据源在动态风险映射策略中考虑季节性人口流动方面的潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/33d7/5423408/f6692a914125/nihms825410f1.jpg

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