Projecting future geo-statistical estimates of disease prevalence using transmission models for neglected tropical diseases in Africa
Geo-statistical models can be used to combine individual surveys of disease prevalence to produce maps of estimated prevalence and uncertainty. However, the time needed to obtain and collate survey data means that maps can quickly become out of date. It can also be challenging to include survey data from too long ago, as it may conflict with more recent data, especially if interventions have been applied in the interim. Join this lecture to find out more about how we can overcome these challenges.
Speaker
Professor Simon Spencer, University of Warwick
Since joining Warwick in 2010, Simon has worked extensively on developing new methods for Bayesian statistics and applying them to epidemiology. In the last 8 years, his focus has been on Neglected Tropical Diseases (NTDs) and he is an active member of the Neglected Tropical Diseases Modelling Consortium and the Human African Trypanosomiasis Modelling and Economic Predictions for Policy team.
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