Auvert B, Buonamico G, Lagarde E, Williams B
INSERM U88, 14 rue du Val d'Osne, Saint-Maurice Cedex, 94415, France.
Comput Biomed Res. 2000 Feb;33(1):84-96. doi: 10.1006/cbmr.1999.1533.
A stochastic simulation model has been used to assess the extent to which variation in sexual behavior and transmission characteristics can explain the striking spatial heterogeneity in the prevalence of HIV among different geographical locations in sub-Saharan Africa. Of the various parameters describing sexual behavior the most important determinant of the spread of HIV is the proportion of men engaging in sexual relationships with people other than spouses, including contacts with sex workers and short-term partners. Considering factors other than sexual behavior the model shows that this heterogeneity in HIV prevalence could be the result of differences in the transmission probability of HIV or in the prevalence of other sexuality transmitted diseases. These factors could play a key role in determining the patterns of spread of HIV in sub-Saharan Africa and should be considered in the design of intervention strategies.
一个随机模拟模型已被用于评估性行为和传播特征的变化在多大程度上能够解释撒哈拉以南非洲不同地理位置之间艾滋病病毒(HIV)流行率显著的空间异质性。在描述性行为的各种参数中,HIV传播的最重要决定因素是与配偶以外的人发生性关系的男性比例,包括与性工作者和短期性伴侣的接触。考虑到性行为以外的因素,该模型表明,HIV流行率的这种异质性可能是HIV传播概率差异或其他性传播疾病流行率差异的结果。这些因素在决定HIV在撒哈拉以南非洲的传播模式方面可能发挥关键作用,在制定干预策略时应予以考虑。