STDSIM is a dynamic stochastic simulation model for decision support i
n attempts to control sexually transmitted diseases (STDs). It describ
es the mechanisms responsible for the transmission of five STDs, inclu
ding HIV/AIDS, at the level of individuals. A large variety of outcome
measures (for example, STD prevalence, incidence, and mortality) can
be calculated for different groups of the population (for example, ado
lescents, prostitutes, pregnant women, and migrants) to evaluate the e
ffects of alternative STD control interventions. We designed the model
to support decision making for different settings in developing count
ries, with Nairobi (Kenya) as its first application area. The model ad
equately describes STD prevalences and the time-trend of HIV prevalenc
e measured in Nairobi. As an illustration of the possibilities of the
model, we show model predictions of the effects of improved STD care a
nd increased condom use on the prevalence and incidence of HIV.