Data-driven modelling to support elimination of African sleeping sickness using cost-effective strategies
Speaker: Kat Rock, University of WarwickAbstract: In this presentation I will highlight how mechanistic modelling and health economic analyses are being used to support the elimination of gambiense human African trypanosomiasis (gHAT, African sleeping sickness) – targeted for elimination of transmission by 2030. gHAT is a vector-borne infection, transmitted by tsetse in Central and West Africa. I shall present work of the HAT modelling and economic predictions for policy (HAT MEPP) project, which focuses on using regional, longitudinal human case data to parameterise location-specific models and provide tailored recommendations for strategies aimed at elimination. I will overview how data from other sources – including tsetse monitoring and cost collection – has contributed to these analyses and impacted our recommendations for policy makers. During the presentation I will demonstrate the HAT MEPP graphical user interface that was developed in conjunction with national programmes to support dissemination of modelling results in an accessible way for non-modellers. Finally I will discuss the challenges of attempting to select cost-effective strategies for infections targeted for elimination.
Location: Lecture Theatre B, Watson (101), University of Birmingham, Edgbaston, Birmingham, B15 2TT or Online Via Zoom.
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Photo credit: Kat Rock
