Comparison of two simulators for individual based models in HIV epidemiology in a population with HSV 2 in Yaounde (Cameroon).

ABSTRACT: Model comparisons have been widely used to guide intervention strategies to control infectious diseases. Agreement between different models is crucial for providing robust evidence for policy-makers because differences in model properties can influence their predictions. In this study, we compared models implemented by two individual-based model simulators for HIV epidemiology in a heterosexual population with Herpes simplex virus type-2 (HSV-2). For each model simulator, we constructed four models, starting from a simplified basic model and stepwise including more model complexity. For the resulting eight models, the predictions of the impact of behavioural interventions on the HIV epidemic in Yaoundé-Cameroon were compared. The results show that differences in model assumptions and model

SUBMITTER: Hendrickx DM 

PROVIDER: S-EPMC8289823 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature