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Adjusting for hidden biases in sexual behaviour data: a mechanistic approach
2023-08-20
epidemiology
Title + abstract only
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BackgroundTwo required inputs to mathematical models of sexually transmitted infections are the average duration in epidemiological risk states (e.g., selling sex) and the average rates of sexual partnership change. These variables are often only available as aggregate estimates from published cross-sectional studies, and may be subject to distributional, sampling, censoring, and measurement biases. MethodsWe explore adjustments for these biases using aggregate estimates of duration in sex work...
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