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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61 to 70 of 78 Results
Tabular Data - 973 B - 3 Variables, 39 Observations - UNF:6:CyxRqxmj7ibZvdbcPVh2Mg==
Data
Plain Text - 6.9 KB - MD5: 6d3e6199cf65d7e0df9c7a52782513c3
Documentation
Dec 5, 2017
Ouma, P; Okiro, EA; Snow, RW, 2017, "Sub-Saharan Public Hospitals Geo-coded database", https://doi.org/10.7910/DVN/JTL9VY, Harvard Dataverse, V1, UNF:6:J6CCateatEPQfq41ZGzc5A== [fileUNF]
Timely access to emergency care can significantly reduce mortality. International benchmarks for access to emergency hospital care have been established to guide ambitions for universal health care by 2030. However, there is no complete geo-coded inventory of hospital services in Africa in relation to how populations might access these services. We...
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
Documentation
Readme.txt
Aug 15, 2017
Snow, RW, 2017, "The prevalence of Plasmodium falciparum in sub Saharan Africa since 1900", https://doi.org/10.7910/DVN/Z29FR0, Harvard Dataverse, V1, UNF:6:HTEB0mwkXpFKpfEUtXM0tg== [fileUNF]
Short term seasonal cycles are a fundamental aspect of the epidemiology of malaria. Longer-term climate anomalies, changing environmental and intervention landscapes also alter the likelihoods of mosquito-human contact or the duration of host infection. The supra-seasonal, long-term cycles of transmission are poorly defined for P. falciparum malari...
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
Readme File
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