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人口密度和营养不良对百日咳流行动态的影响。

The effects of population density and malnutrition on the dynamics of whooping cough.

作者信息

Duncan C J, Duncan S R, Scott S

机构信息

School of Biological Sciences, University of Liverpool, UK.

出版信息

Epidemiol Infect. 1998 Oct;121(2):325-34. doi: 10.1017/s0950268898001186.

Abstract

Liverpool, a seaport in NW England, suffered severely from lethal infectious diseases in the second half of the 19th century: the population was densely crowded and malnourished and life expectancy was low. Time-series analysis shows that the epidemics of whooping cough (i) had an interepidemic interval of 2.9 years, 1863-85, which lengthened to 3.4 years, 1885-1900 (ii) were strongly coherent with wheat prices (P < 0.001) and (iii) also correlated with cycles of seasonal weather conditions. It is suggested from mathematical modelling that the epidemics in this compromised population were maintained (i.e. the system was driven) by an oscillation of malnutrition and by seasonal weather conditions. A model that incorporates both the dynamics of whooping cough and the demographic characteristics of the population is presented. It has been shown to replicate the dynamics of the epidemics and has been used to predict the changes with time of (i) the force of the infection and (ii) the proportion of those infected with whooping cough who died.

摘要

利物浦是英格兰西北部的一个海港,在19世纪下半叶遭受了致命传染病的严重侵袭:人口密集且营养不良,预期寿命较低。时间序列分析表明,百日咳疫情(i)在1863 - 1885年间的流行间隔为2.9年,在1885 - 1900年间延长至3.4年;(ii)与小麦价格高度相关(P < 0.001);(iii)还与季节性天气状况的周期相关。通过数学建模表明,在这个健康状况不佳的人群中,疫情是由营养不良的波动和季节性天气状况维持的(即系统受到驱动)。本文提出了一个结合百日咳动态和人群人口统计学特征的模型。该模型已被证明能够复制疫情的动态,并已用于预测(i)感染强度和(ii)感染百日咳后死亡者比例随时间的变化。

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