Population Health Dataverse

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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31 to 40 of 78 Results

AKamau_malaria_prevalence_Readme.txt Nov 25, 2021 - Replication Data for: Long-lasting insecticide treated net use and malaria infection on the Kenyan Coast Plain Text - 4.7 KB - MD5: 40999a1e4f76f0ef5c880332935c5092 DocumentationReadme File
AKamau_malaria_prevalence_Codebook.pdf Nov 23, 2021 - Replication Data for: Long-lasting insecticide treated net use and malaria infection on the Kenyan Coast Adobe PDF - 166.5 KB - MD5: 6c7b5639dd1230bc1a754984c0dd83b7 Data Dictionary/Variable CodebookDocumentation
community_survey_data_161121-1.tab Nov 23, 2021 - Replication Data for: Long-lasting insecticide treated net use and malaria infection on the Kenyan Coast Tabular Data - 739.7 KB - 16 Variables, 6479 Observations - UNF:6:7gUmbpt5YeFF0qh7NZCrNA== Dataxlsx
community_survey_data_161121.tab Nov 23, 2021 - Replication Data for: Long-lasting insecticide treated net use and malaria infection on the Kenyan Coast Tabular Data - 655.0 KB - 16 Variables, 6479 Observations - UNF:6:AbY+bQXhB4tYyKwJJkVi0A== csvData
community_survey.do Nov 23, 2021 - Replication Data for: Long-lasting insecticide treated net use and malaria infection on the Kenyan Coast Stata Syntax - 2.5 KB - MD5: f473d57951b4cca9e0a8675fe50eb036 CodeStata, version 13
Figure 1.R Nov 23, 2021 - Replication Data for: Long-lasting insecticide treated net use and malaria infection on the Kenyan Coast R Syntax - 2.5 KB - MD5: 7cb3bdc064db2ab7bc67579ed056242f CodeR version 3.6.1
health_facility_survey_data_161121-1.tab Nov 23, 2021 - Replication Data for: Long-lasting insecticide treated net use and malaria infection on the Kenyan Coast Tabular Data - 3.3 MB - 17 Variables, 28134 Observations - UNF:6:fkA1S75bX114vrqhGlUCwQ== Dataxlsx
health_facility_survey_data_161121.tab Nov 23, 2021 - Replication Data for: Long-lasting insecticide treated net use and malaria infection on the Kenyan Coast Tabular Data - 2.9 MB - 17 Variables, 28134 Observations - UNF:6:e+rOKDbU0bhQGze+rfF82g== csvData
Health facility survey.do Nov 23, 2021 - Replication Data for: Long-lasting insecticide treated net use and malaria infection on the Kenyan Coast Stata Syntax - 2.0 KB - MD5: 91097a0be11b2566d840874e09764f6f CodeStata, version 13
A spatial database of public primary day schools in western Kenya Aug 18, 2021 Peter M Macharia; Angela Moturi; Eda Mumo; Robert W Snow, 2021, "A spatial database of public primary day schools in western Kenya", https://doi.org/10.7910/DVN/5N8LW2, Harvard Dataverse, V1, UNF:6:Rrnzzw33xAW3P3xEffre/Q== [fileUNF] Understanding the location of primary schools relative to population is important to contextualize the time, or distance, that students must travel and in defining school catchment areas for planning. However, such analyses are limited due to the perennial problem for absence of geocoded school databases. We, therefore, assembled existing school da...

AKamau_malaria_prevalence_Readme.txt

Nov 25, 2021 - Replication Data for: Long-lasting insecticide treated net use and malaria infection on the Kenyan Coast

Plain Text - 4.7 KB -

DocumentationReadme File

AKamau_malaria_prevalence_Codebook.pdf

Nov 23, 2021 - Replication Data for: Long-lasting insecticide treated net use and malaria infection on the Kenyan Coast

Adobe PDF - 166.5 KB -

Data Dictionary/Variable CodebookDocumentation

community_survey_data_161121-1.tab

Nov 23, 2021 - Replication Data for: Long-lasting insecticide treated net use and malaria infection on the Kenyan Coast

Tabular Data - 739.7 KB - 16 Variables, 6479 Observations -

Dataxlsx

community_survey_data_161121.tab

Nov 23, 2021 - Replication Data for: Long-lasting insecticide treated net use and malaria infection on the Kenyan Coast

Tabular Data - 655.0 KB - 16 Variables, 6479 Observations -

csvData

community_survey.do

Nov 23, 2021 - Replication Data for: Long-lasting insecticide treated net use and malaria infection on the Kenyan Coast

Stata Syntax - 2.5 KB -

CodeStata, version 13

Figure 1.R

Nov 23, 2021 - Replication Data for: Long-lasting insecticide treated net use and malaria infection on the Kenyan Coast

R Syntax - 2.5 KB -

CodeR version 3.6.1

health_facility_survey_data_161121-1.tab

Nov 23, 2021 - Replication Data for: Long-lasting insecticide treated net use and malaria infection on the Kenyan Coast

Tabular Data - 3.3 MB - 17 Variables, 28134 Observations -

Dataxlsx

health_facility_survey_data_161121.tab

Nov 23, 2021 - Replication Data for: Long-lasting insecticide treated net use and malaria infection on the Kenyan Coast

Tabular Data - 2.9 MB - 17 Variables, 28134 Observations -

csvData

Health facility survey.do

Nov 23, 2021 - Replication Data for: Long-lasting insecticide treated net use and malaria infection on the Kenyan Coast

Stata Syntax - 2.0 KB -

CodeStata, version 13

A spatial database of public primary day schools in western Kenya

Aug 18, 2021

Peter M Macharia; Angela Moturi; Eda Mumo; Robert W Snow, 2021, "A spatial database of public primary day schools in western Kenya", https://doi.org/10.7910/DVN/5N8LW2, Harvard Dataverse, V1, UNF:6:Rrnzzw33xAW3P3xEffre/Q== [fileUNF]

Understanding the location of primary schools relative to population is important to contextualize the time, or distance, that students must travel and in defining school catchment areas for planning. However, such analyses are limited due to the perennial problem for absence of geocoded school databases. We, therefore, assembled existing school da...

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