流行病学中的人口统计学方法

P. Klepac, C. Metcalf
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引用次数: 0

摘要

人口统计学既受传染病动态的影响,也影响传染病动态。传染性病原体会增加宿主的死亡率。宿主出生率将新的易感个体引入种群,这使得在易感个体因死亡或感染后产生免疫力而减少的情况下,感染得以持续存在。传染病流行病学中的许多重要过程,从传播到疫苗接种,随着年龄或生命阶段的变化而变化。因此,流行病学需要人口统计学方法。本章介绍了对人口统计学和流行病学交叉出现的模式的广泛期望,并提出了一套结构化的人口建模工具,可用于分析重要过程,包括下一代方法,以及在阶段结构背景下的R0估计,以及宿主人口统计学和病原体生命周期在时间尺度上的重要差异。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Demographic methods in epidemiology
Demography is both shaped by and shapes infectious disease dynamics. Infectious pathogens can increase host mortality. Host birth rates introduce new susceptible individuals into the population, which allows infections to persist in the face of the depletion of susceptible individuals that can result from mortality or immunity that can follow infection. Many important processes in infectious disease epidemiology, from transmission to vaccination, vary as a function of age or life stage. Epidemiology thus requires demographic methods. This chapter introduces broad expectations for patterns emerging from the intersection between demography and epidemiology and presents a set of structured population modelling tools that can be used to dissect important processes, including next generation methods, and estimation of R0 in the context of stage structure and with important differences in time-scale between host demography and pathogen life cycle.
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