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

Cite as:

Araujo Navas, Andrea Araujo A.L. (Faculty of Geo-Information Science (ITC), University of TYwente) (): Modelling the impact of MAUP on environmental drivers for Schistosoma japonicum prevalence. DANS. https://doi.org/10.17026/dans-x8y-th3g

2019-04-05 Araujo Navas, Andrea Araujo A.L. (Faculty of Geo-Information Science (ITC), University of TYwente) 10.17026/dans-x8y-th3g

This dataset presents the survey data as well as the environmental covariate data used to model schistosomiasis japonicum infection in Mindanao region in The Philippines. Survey data is aggregated at barangay-level and present the number of infected people and the total number of sampled people per barangay. Covariate data present the values for each environmental variable aggregated at five increasing spatial resolutions.