Estimating the Relative Impact of Early-Life Infection Exposure on Later-Life Tuberculosis Outcomes in a Canadian Sample

This article seeks to elucidate effects of early-life influences on later-life tuberculosis outcomes using a dynamic computer simulation model. To illustrate the value of such a model, three research questions are considered: 1) If we implemented an intervention capable of reducing infection rates to varying degrees, what would the impact be on tuberculosis prevalence by age? 2) If there were a temporary increase in the rate of infection, what would the impact be on tuberculosis outcomes for the population? 3) If a fixed number of recently infected individuals were targeted for prophylactic treatment, who should be chosen to maximize impact?

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