Modelling the impact of MAUP on environmental drivers for Schistosoma japonicum prevalence.

ABSTRACT: BACKGROUND:The modifiable areal unit problem (MAUP) arises when the support size of a spatial variable affects the relationship between prevalence and environmental risk factors. Its effect on schistosomiasis modelling studies could lead to unreliable parameter estimates. The present research aims to quantify MAUP effects on environmental drivers of Schistosoma japonicum infection by (i) bringing all covariates to the same spatial support, (ii) estimating individual-level regression parameters at 30 m, 90 m, 250 m, 500 m and 1 km spatial supports, and (iii) quantifying the differences between parameter estimates using five models. METHODS:We modelled the prevalence of Schistosoma japonicum using sub-provinces health outcome data and pixel-level environmental data. We estimated and compared

SUBMITTER: Araujo Navas AL 

PROVIDER: S-EPMC7053105 | biostudies-literature | 2020 Mar

REPOSITORIES: biostudies-literature