The bioscience department focuses on the molecular biology, epidemiology and immunology of infectious diseases with particular emphasis on the development of vaccines and understanding the transmission of pathogens. We work on malaria, viral pathogens, HIV and bacterial disease, and provide strategic direction to the Laboratory Research Platform

Our work on malaria covers the three life-cycle stages; gametocytes (where we are developing a human challenge model to test transmission blocking immunity and profiling the transmitting population in the community and developing markers of infectiousness); blood stage (where we are identifying the merozoite and red cell surface targets of human immunity and examining the role of parasite exposure on host immunity using a systems immunology approach); and pre-erythrocytic stages where we are examining vaccine-induced immunity.

Field surveillance for acute HIV infection and monitoring of a cohort and collaboration with IAVI has facilitated interests in functional assays (specifically the viral inhibition assay) and on the impact of transmitted drug resistance in Kenya.

We are undertaking work on the genomics of malaria, viral pathogens and bacterial pathogens in order to determine what the source of infection is (i.e. “who infects whom”) in collaboration with the Epidemiology and Demography Department.

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

381 to 390 of 446 Results
Tabular Data - 7.7 KB - 6 Variables, 320 Observations - UNF:6:fFRpi9pAlLc7TD8ohfjUCQ==
Data
De-identified raw data
Tabular Data - 9.4 KB - 6 Variables, 345 Observations - UNF:6:WJSFLygx9rF8JYszhAJZdw==
Data
De-identified raw data
Adobe PDF - 74.7 KB - MD5: 0af98eac8c9428fa8ab4d0d209456a86
Documentation
Data Dictionary containing variable description and value labels
Adobe PDF - 75.0 KB - MD5: b794e162ff596949daf9609e38412212
Documentation
Study Protocol
Feb 3, 2020
Olola, Christopher; Kremsner, Peter Gottfried; Winstanley, Peter A.; Wamola, Betty; Newton, Charles R.; Taylor, Terrie, 2020, "Data for: Dose Finding Study of Pentoxifylline in Children With Cerebral Malaria", https://doi.org/10.7910/DVN/VANG2V, Harvard Dataverse, V1
Pentoxifylline (PTX) affects many processes that may contribute to the pathogenesis of severe malaria and it has been shown to reduce the duration of coma in children with cerebral malaria. This pilot study was performed to assess pharmacokinetics, safety and efficacy of PTX in African children with cerebral malaria. Ten children admitted to the hi...
ZIP Archive - 20.5 KB - MD5: ce2e335159836d5caed168f67c0de568
Data
De-identified datasets (csv format)
Adobe PDF - 308.5 KB - MD5: 3d7c1e2a7ff239dfc712a546867df4c1
Documentation
Adobe PDF - 102.8 KB - MD5: 345b07b6d6bd262c6bbb45aa43dc0ed4
Documentation
ICF template (Giriama)
Adobe PDF - 371.4 KB - MD5: 840991e2a959b1a86b4905c6f0bd995f
Documentation
Adobe PDF - 88.6 KB - MD5: 4ac8900d55b5d751f6edb1189ec00920
Documentation
ICF template (lSwahili)
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.