MSF - Retrospective impact of SMC in Chad

An already published compartmental model of malaria transmission has been adapted to answer questions about the impact of seasonal malaria chemoprevention (SMC), while accounting for historical climate data. Indeed, the model incorporates rainfall and temperature data, allowing one to account for key confounders that could influence the estimated impact of the intervention. This work, part of Nicholas Putney’s MSc and PhD projects and under the supervision of Clara Champagne, is a collaboration with Médecins Sans Frontières and the Chad NMCP. The developed methodology was applied to answer questions about the optimal SMC timing using routine data. The model and corresponding application has been presented in the 2025 Epicentre’s Scientific Day (Watch the video here). The methodology is available as an open-source R package and can be found on GitHub: SwissTPH/malclimsim: Simulating From and Estimating Parameters of a Dynamical Malaria Model.