Comparison of new computational method for spatial modelling of malaria

Published: November 21, 2023

Citation

Wong, S., Flegg, J.A., Golding, N. et al. Comparison of new computational methods for spatial modelling of malaria. Malar J 22, 356 (2023). https://doi.org/10.1186/s12936-023-04760-7

Abstract

Geostatistical analysis of health data is increasingly used to model spatial variation in malaria prevalence, burden, and other metrics. Traditional inference methods for geostatistical modelling are notoriously computationally intensive, motivating the development of newer, approximate methods for geostatistical analysis or, more broadly, computational modelling of spatial processes. The appeal of faster methods is particularly great as the size of the region and number of spatial locations being modelled increases.

Related Staff