Capturing sexual contact patterns in modelling the spread of sexually transmitted infections: Evidence using Natsal-3.

ABSTRACT:

Background

Understanding the spread of sexually transmitted infections (STIs) in a population is of great importance to the planning and delivery of health services globally. The worldwide rise of HIV since the 1980's, and the recent increase in common STIs (including HPV and Chlamydia) in many countries, means that there is an urgent need to understand transmission dynamics in order to better predict the spread of such infections in the population. Unlike many other infections which can be captured by assumptions of random mixing, STI transmission is intimately linked to the number and pattern of sexual contacts. In fact, it is the huge variation in the number of new sexual partners that gives rise to the extremes of risk within populations which need to be captured in predictive

SUBMITTER: Datta S 

PROVIDER: S-EPMC6211691 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature