The KWTRP Data Repository helps researchers make data linked to published works and research studies available for reuse. It also facilitates long-term preservation of research data and reproducibility of reported findings. Data are hosted as open or restricted access. Restricted datasets require submission of a data request to our data governance committee for consideration and approval.

Useful Links:

  1. Data Sharing Policy
  2. Data Request Form


COVID-19 Data Resources

Search, request and download our curated collection of COVID-19 datasets.


Metrics

alternative text alternative text: oval alternative text: oval

Download Full Report


Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

2,471 to 2,480 of 2,527 Results
Jul 19, 2017 - Population Health Dataverse
Snow, Robert W., 2017, "A geo-coded inventory of anophelines in the Afrotropical Region south of the Sahara: 1898-2016", https://doi.org/10.7910/DVN/NQ6CUN, Harvard Dataverse, V1
Understanding the distribution of anopheline vectors of malaria is an important prelude to the design of national malaria control and elimination programmes. A single, geo-coded continental inventory of anophelines using all available published and unpublished data has not been undertaken since the 1960s. We present the largest ever geo-coded datab...
Comma Separated Values - 6.4 MB - MD5: b9c287d8047b358ab76f36ddf68e21cd
Adobe PDF - 21.7 KB - MD5: 5cd44b236cb0636d3a2d4e8afa588449
value labels for occurence data
MS Excel Spreadsheet - 7.3 MB - MD5: 703431e03a6ef3d4d32be73127eddc52
main database
Plain Text - 2.6 KB - MD5: 45bc4dfeecf55658ea9d803dac27b7c6
User Instructions for data access
Population Health Dataverse(KEMRI-Wellcome Trust Research programme)
Jul 11, 2017
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 pla...
May 14, 2017 - Virus Epidemiology and Control (VEC) Dataverse
Otieno, James Richard; Nokes, David James, 2017, "Replication Data for: Molecular Evolutionary Dynamics of Respiratory Syncytial Virus Group A in Recurrent Epidemics in Coastal Kenya", https://doi.org/10.7910/DVN/MNSYNF, Harvard Dataverse, V1
The data is from an on-going study aimed at understanding the epidemiology and disease burden of RSV-associated pneumonia cases in Kilifi. This report details the evolutionary dynamics of RSV-A genotype in Kilifi. Respiratory swab samples (combined nasopharyngeal and oropharyngeal) were collected from January 2000 to December 2012 from: (i) LRTI ca...
May 14, 2017 - Virus Epidemiology and Control (VEC) Dataverse
Kamau, Everlyn; Nokes, David James, 2017, "Replication Data for: Recent sequence variation in probe binding site affected detection of respiratory syncytial virus group B by real-time RT-PCR", https://doi.org/10.7910/DVN/B2PT24, Harvard Dataverse, V1
This dataset comprises of Nucleotide sequences used to match primers and probes, and for phylogenetic inferences. A total of 168 N and G gene sequences deposited in Genbank with accession numbers from KX775772 - KX775940. This data is freely available. In our analysis, we observed inconsistencies between two routine RSV diagnostic methods applied i...
Add Data

Sign up or log in to create a dataverse or add a dataset.

Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.