Model building and assessment of the impact of covariates for disease prevalence mapping in low-resource settings: to explain and to predict Instituut voor Tropische Geneeskunde
This paper provides statistical guidance on the development and application of model-based geostatistical methods for disease prevalence mapping. We illustrate the different stages of the analysis, from exploratory analysis to spatial prediction of prevalence, through a case study on malaria mapping in Tanzania. Throughout the paper, we distinguish between predictive modelling, whose main focus is on maximizing the predictive accuracy of the ...