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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Adobe PDF - 124.5 KB - MD5: 8ee9033b3a2c22803698bd3ad65e9e70
DocumentationVariable Codebook/Data Dictionary
Plain Text - 9.0 KB - MD5: 127392f10fc9605888c5b13c486a7058
DocumentationReadme
Tabular Data - 973 B - 3 Variables, 39 Observations - UNF:6:CyxRqxmj7ibZvdbcPVh2Mg==
Data
Plain Text - 6.9 KB - MD5: 6d3e6199cf65d7e0df9c7a52782513c3
Documentation
Adobe PDF - 67.2 KB - MD5: 810dfa6930e9177aa8236ac7252c7328
Documentation
Variable Codebook / Data Dictionary
Tabular Data - 495.1 KB - 8 Variables, 4908 Observations - UNF:6:J6CCateatEPQfq41ZGzc5A==
Data
Raw Data
Plain Text - 3.9 KB - MD5: 7f09a15d80fca0994b1f3ac59374b95d
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Readme.txt
Tabular Data - 5.9 MB - 15 Variables, 50425 Observations - UNF:6:HTEB0mwkXpFKpfEUtXM0tg==
Raw Data
Adobe PDF - 75.8 KB - MD5: 8e440c6240375ec17ab28e893dd2ec5e
Codebook / Data Dictionary
Plain Text - 3.3 KB - MD5: e0d4cea904e4bfed3691e2784088fe14
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