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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MS Excel Spreadsheet - 16.6 KB - MD5: c8f07eebcec02bd6aafeb5abb01277f5
Data DictionaryDocumentation
Contains variable descriptions and value labels
R Syntax - 11.1 KB - MD5: 7564e2a31ffbb69fa6e3be3e588e65cb
CodeR Script
This file contains the R script used for the correlation and comparison analysis in the kmlc cohort
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
Jul 28, 2020
Mwangi, Shaban J.; Abdi, Abdirahman I., 2020, "Replication Data for: Impact of Plasmodium falciparum small-sized extracellular vesicles (PfsEVs) on host peripheral blood mononuclear cells", https://doi.org/10.7910/DVN/QXUFQ7, Harvard Dataverse, V3
This is a replication dataset for the manuscript titled "Impact of Plasmodium falciparum small-sized extracellular vesicles (PfsEVs) on host peripheral blood mononuclear cells" submitted to WellcomeOpen
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