Sexually transmitted diseases and sexual behavior: Insights from mathematical models

被引：123

作者：

Garnett, GP ^{[1
]}

Anderson, RM ^{[1
]}

机构：

[1] UNIV OXFORD, DEPT ZOOL, CTR EPIDEMIOL INFECT DIS, OXFORD OX1 3PS, ENGLAND

来源：

JOURNAL OF INFECTIOUS DISEASES | 1996年 / 174卷

基金：

英国惠康基金;

关键词：

D O I：

10.1093/infdis/174.Supplement_2.S150

中图分类号：

R392 [医学免疫学]; Q939.91 [免疫学];

学科分类号：

100102 ;

摘要：

The major role of mathematical models of transmission dynamics and population biology of sexually transmitted diseases is helping understand the influence of the many biologic, social, and behavioral factors that influence the incidence or prevalence of infection. Various models can examine heterogeneity in sexual behavior and determine how individual variation influences epidemiologic pattern within a population. In the cases of heterogeneity in sex acts and in sex partner numbers, heterogeneity acts to enhance the likelihood of the persistence of infection. Also important is the pattern of mixing or sexual contact within a community. Assortative mixing promotes rapid spread in high-sexual-activity classes but results in a lower endemic equilibrium state compared with random mixing. In these models, each facet of behavior is treated separately. The obvious next goal of modeling is to meld processes together into a single mathematical framework; however, quantitative epidemiologic information on each factor is still needed.

引用

页码：S150 / S161

页数：12

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