This dataverse contains data pertaining to Population Health Research. Studies conducted use novel epidemiological and geostatistical tools: to understand the complex disease patterns in space and time; evaluate the impacts of current scaled malaria interventions; and test improved applications of interventions within different service provider platforms and different malaria ecologies. In order to ensure effective malaria control such evidence must be available at sub-national level to support national planning. The affiliate research group is based in Nairobi Kenya under the KEMRI-Wellcome Trust Research Programme. The team conducts expansive multidisciplinary and collaborative research with studies in over 20 countries in Africa and the Middle East, particularly with national malaria control programmes.

For more information on our research work, visit our page via Population Health Research@ KEMRI-Wellcome Trust Research Programme

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Tabular Data - 2.0 KB - 6 Variables, 50 Observations - UNF:6:X699coqASr12EARwZjby5Q==
csvData
Adobe PDF - 224.1 KB - MD5: e31013a52bad51a17cf4372c77367f6c
DocumentationVariable Codebook/Data Dictionary
Stata Syntax - 2.6 KB - MD5: 950a4b9ee7937f9e63ec5b0a3e8476ad
CodeSTATA version 13
Stata Syntax - 2.5 KB - MD5: fe23a0763aac6c3c7869d331295b7676
CodeSTATA version 13
Stata Syntax - 2.5 KB - MD5: fc69aa0bd428bc82475f3a32bc016c7e
CodeSTATA version 13
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