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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301 to 310 of 385 Results
Tabular Data - 33.4 KB - 21 Variables, 274 Observations - UNF:6:F4zzyaf7+YaqHOfXZ2an3A==
CSVData
This file contains kilifi malaria longitudinal cohort (KMLC) data including participants age, transmission setting, parasite density and antibody responses. The cross-sectional survey was conducted between 1998-2016 and included 274 children aged below 15 years
R Syntax - 9.9 KB - MD5: 78f5cbeff0c8f62d228256cbe55dc2e9
CodeR Script
This file contains the R script used for the logistic regression analysis in the kmlc cohort
R Syntax - 13.6 KB - MD5: 55d265448e2b3f9695896dba07fbef83
CodeR Script
This file contains the R script used for the correlation and comparison analysis in the afirm cohort
Tabular Data - 48.8 KB - 23 Variables, 413 Observations - UNF:6://WKDXMhkGAe57sTfnZOMA==
CSVData
This file contains the assessment of the infectious reservoir of malaria (AFIRM) study dataset including the participants age, season at recruitment, parasite density and antibody responses. The study was conducted between January 2014 - February 2015 and included 413 participants
R Syntax - 10.2 KB - MD5: fb676bbd8b6490afe415a9252b73b29e
CodeR Script
This file contains the R script used for the correlation analysis in the combined cohort analysis (afirm and kmlc)
R Syntax - 3.7 KB - MD5: bb979c1bf5eed9f111e34db0b25d308e
CodeR Script
This file contains the R script used for the logistic regression analysis in the combined cohort (afirm and kmlc)
Tabular Data - 58.3 KB - 13 Variables, 687 Observations - UNF:6:Mux8st9RPzy0DrFLkXXS7A==
CSVData
This file contains data for the combined cohort analysis for both assessment of the infectious reservoir of malaria (AFIRM) and kilifi malaria longitudinal cohort (KMLC). It contains participants age, parasitaemia, antibody reponses of 687 individuals
R Syntax - 9.4 KB - MD5: 595a19dcf276736beb37a72f5ca8c319
CodeR Script
This file contains the R script used for the logistic regression analysis in the afirm cohort
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