Human immunodeficiency virus (HIV) increases the risks of developing tuberculosis (TB) disease following<br/>infection, and speeds up disease progression. This has had a devastating effect on TB epidemics in sub-Saharan<br/>Africa, where incidence rates have more than trebled in the past twenty years. Current control methods for TB<br/>disease have failed to keep pace with this growth in TB, and there is an urgent need to find TB control strategies<br/>that are effective in high-HIV prevalent settings. This paper describes a discrete-event simulation model of<br/>endemic TB that includes the effects of HIV and of household structure on the transmission dynamics of TB.<br/>Incorporating a social structure allows us to compare the effectiveness of contact-tracing interventions with<br/>targeted case-finding at high risk groups. We describe the modeling of the household structure in some detail, as<br/>this has applications to the modeling of other infectious diseases
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