Estimating the impact of seasonal malaria chemoprevention: A modelling framework using routine data sources in Burkina Faso
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Resources: Presentation
Authors: Monica A de Cola, Benoit Sawadogo, Cheick Campaore, Clotaire Tapsoba, Sidzabda Kompaore, Chuks Nnaji, Arantxa Roca-Feltrer, Christian Rassi, Patrick Walker, Lucy Okell
Analysis of malaria prevalence data has demonstrated that seasonal malaria chemoprevention is having a significant impact in Burkina Faso.
Monitoring the long-term impact of seasonal malaria chemoprevention relies on a standard set of malaria indicators obtained from various data sources. Interpreting the results is challenging due to the indirect nature of the data sources and unclear expectations across endpoints. The study authors aimed to identify the most effective methods for monitoring long-term impact and to identify the factors and programmatic approaches that most effectively drive impact.
This presentation was given as part of the Young Investigators' Award competition at the 73rd Annual Meeting of the American Society of Tropical Medicine & Hygiene (ASTMH).
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American Society of Tropical Medicine and Hygiene Annual Meeting