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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R Syntax - 2.5 KB - MD5: 7cb3bdc064db2ab7bc67579ed056242f
CodeR version 3.6.1
Tabular Data - 3.3 MB - 17 Variables, 28134 Observations - UNF:6:fkA1S75bX114vrqhGlUCwQ==
Dataxlsx
Tabular Data - 2.9 MB - 17 Variables, 28134 Observations - UNF:6:e+rOKDbU0bhQGze+rfF82g==
csvData
Stata Syntax - 2.0 KB - MD5: 91097a0be11b2566d840874e09764f6f
CodeStata, version 13
Adobe PDF - 31.3 KB - MD5: 8ecb7d439d04794c04b3429003541ee5
CodebookDocumentation
Plain Text - 3.4 KB - MD5: 50eb5bf0443c37fcf7001d0dfe375967
DocumentationReadMe file
Tabular Data - 275.5 KB - 10 Variables, 2170 Observations - UNF:6:Rrnzzw33xAW3P3xEffre/Q==
Data
R Syntax - 6.4 KB - MD5: e21a22d7e4d21e7ef6aab7e5cd5f7b14
CodeR Script
R Syntax - 7.1 KB - MD5: d2d7a6a65f89d598f15484a60a7f93bc
CodeR Script
R Syntax - 10.1 KB - MD5: 39863824c7aef2f5ee00277b962ea0ce
CodeR Script
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