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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R Syntax - 6.5 KB - MD5: 00ad6f242b53f40bad66acd6c680f313
Code
R code used to assess malaria episodes occurring before a cross-sectional survey and generate a models to predict gametocyte positivity
R Syntax - 11.7 KB - MD5: dbad32fbda10913a3a065916abe5e9cf
Code
R code used to generate models to predict gametocyte positivity from select covariates
Tabular Data - 1.1 MB - 10 Variables, 16760 Observations - UNF:6:Cx1KBVSGnRZgI+QODOEr0A==
Data
Data from all the cross-sectional surveys carried out between 1998 and 2016 for all participants sampled from the Kilifi Malaria Longitudinal Cohort (KMLC) aged between 0-15 years. This dataset includes information on the cohort the participant is from, their age, sex, blood group, study number and participant identification number. It also include...
Tabular Data - 40.1 MB - 10 Variables, 557237 Observations - UNF:6:ybdRf6hqPH3IMFXPpHvcUg==
Data
Data from weekly follow-up visits carried out between 1998 and 2016 for all participants sampled from the Kilifi Malaria Longitudinal Cohort (KMLC) aged between 0-15 years. This dataset includes information on the cohort the participant is from, their age, sex, blood group, study number and participant identification number. It also includes th...
Plain Text - 9.7 KB - MD5: 93bce9f7cff0577c03de4558d8a33602
Documentation
Contains project and dataset(s) description and data access/use statements
R Syntax - 3.5 KB - MD5: 115253ce68e159c633c9818b0b66098f
Code
R code used to plot out the variation in parasite prevalence over time
R Syntax - 5.6 KB - MD5: 433d54960fab3787dabdf7974272ced0
Code
R code used to plot out the variation in parasite densities over time
R Syntax - 5.1 KB - MD5: 4efe34fd26d167415e6e3aa39fff01d3
Code
R code used to plot the prevalence of parasite densities before and after the introduction of artemisinin combination therapies
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