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.

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Adobe PDF - 43.7 KB - MD5: 689a5bdd558da1471f23a3ef6972c4c5
Data DictionaryDocumentation
Contains variable description and value labels
Jul 18, 2019
Wamae, Kevin; Wambua, Juliana; Nyangweso, George; Bejon, Philip; Ochola-Oyier, Lynette Isabella, 2019, "Asymptomatic Parasitemia and Risk of Febrile Malaria (Kilifi)", https://doi.org/10.7910/DVN/8LJJSG, Harvard Dataverse, V1, UNF:6:8GC9JIXWGY5ODDNaXH/5sw== [fileUNF]
The data is based on 3 cohorts in Kilifi of varying malaria transmission intensities, comprising Ngerenya (low transmission), Junju (moderate to high transmission), and Chonyi (high transmission). The data were prospectively collected between 1998 and 2014 for Ngerenya, 2005 and 2010 for Junju, and 1999 and 2001 for Chonyi. In these cohorts, childr...
Gzip Archive - 241.9 KB - MD5: 6131b79b863d6950c5d4107c0ff1c378
Data
Analysis dataset (zipped file) for use in R
Tabular Data - 2.0 MB - 21 Variables, 11325 Observations - UNF:6:8GC9JIXWGY5ODDNaXH/5sw==
Data
Analysis dataset (CSV) for regression analysis in STATA using Stata.script_cox_regression.do
Adobe PDF - 394.6 KB - MD5: 9d017980483d6435c8deb6929f337ded
Research Article
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