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Since the inception of the Malaria Atlas Project (MAP) in 2005, the importance of geospatial modelling for reliably measuring malaria transmission, stratifying risk, and evaluating the impact of control strategies has become accepted as integral to the success of malaria control and elimination. Where malaria surveillance has historically been weak, geospatial modelling has played a key role in compensating for limited data and providing richer and more robust evidence to support decision making. However, malaria surveillance systems are rapidly evolving and the granularity, reliability and richness of malariometric data increase year-on-year. This data explosion presents enormous opportunities for more precise, evidence based malaria control and elimination strategies. This Seminar will review the past, present and future work of MAP in advancing the science of geospatial disease modelling and its contributions to more effective disease control.

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