Boily M C, Anderson R M
Department of Biology, Imperial College, London University, UK.
IMA J Math Appl Med Biol. 1991;8(4):221-47. doi: 10.1093/imammb/8.4.221.
A simple model of the transmission of HIV-1 by heterosexual contact and from mother to unborn infant is developed to assess the influence of patterns of mixing between low and high sexual activity classes of the two sexes on the pattern of spread of the virus and the demographic impact of AIDS. Numerical studies of model behaviour are based, where possible, on parameter estimates derived from epidemiological studies of HIV-1 spread in Africa. Analyses reveal that the assumed pattern of mixing, ranging from assortative (like with like) through random (proportional) to disassortative (like with unlike), has a very major impact on the predicted spread of the virus and the concomitant demographic impact of AIDS. Patterns of strong assortative mixing are predicted to generate the least spread and demographic impact, by comparison with proportional or disassortative mixing. Analyses also reveal that the rules governing behaviour changes, once AIDS-induced mortality changes the structure of the population (i.e. the numbers in the low and high sexual activity classes of the two sexes), have a very significant influence on the course of the epidemic. Where possible, predicted patterns are compared with observed trends in Africa.
建立了一个关于人类免疫缺陷病毒1型(HIV-1)通过异性接触以及从母亲传播给未出生婴儿的简单模型,以评估两性中低性活动类别和高性活动类别之间的混合模式对病毒传播模式及艾滋病人口统计学影响的作用。模型行为的数值研究在可能的情况下基于从非洲HIV-1传播的流行病学研究得出的参数估计。分析表明,假定的混合模式,从同类相聚(同类与同类)到随机(成比例)再到异类相聚(异类与异类),对预测的病毒传播及随之而来的艾滋病人口统计学影响有着非常重大的作用。与成比例或异类相聚混合相比,强烈的同类相聚混合模式预计会产生最少的传播和人口统计学影响。分析还表明,一旦艾滋病导致的死亡率改变了人口结构(即两性中低性活动类别和高性活动类别的人数),行为变化的规则对疫情发展有着非常重大的影响。在可能的情况下,将预测模式与非洲观察到的趋势进行比较。