[Early warning on measles through the neural networks].

To discuss the effects on early warning of measles, using the neural networks. Based on the available data through monthly and weekly reports on measles from January 1986 to August 2006 in Wuhan city. The modal was developed using the neural networks to predict and analyze the prevalence and incidence of measles.

[An assessment on the effectiveness of condom use in reducing the incidence of chlamydia through mathematical modelling].

Objective: To determine the relationship between the rate of condom use and incidence of Chlamydia amongst commercial sex worker, using a mathematical model.

Methods: Assuming that p(%) is the rate of condom use by female sex workers, and r(%) is the incidence of Chlamydia. If the use of condom increases by delta p, then the incidence of Chlamydia will decrease by delta r.

A study of commercial sex and HIV/STI-related risk factors among hospitality girls in entertainment establishments in Wuhan, China.

Background: Commercial sex is illegal in China but there are still many hospitality girls (HGs) working at licenced entertainment establishments in many places in the country. Hospitality girls can be categorised as sex-HGs and non-sex-HGs.

Objective: To understand the proportion of sex-HGs and non-sex-HGs, the prevalence of HIV and sexually transmitted infections, and the high-risk behaviours among HGs.