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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331 to 340 of 446 Results
Dec 3, 2020
Recker, Mario, 2020, "Replication Data for: Individual-level variations in malaria susceptibility and acquisition of clinical protection", https://doi.org/10.7910/DVN/WQCKJJ, Harvard Dataverse, V1, UNF:6:h4OCjeKIOwgiiteBNVCwGw== [fileUNF]
This is a replication dataset for the manuscript "Individual-level variations in malaria susceptibility and acquisition of clinical protection" submitted to Wellcome Open Research. Dataset contains information on individual clinical malaria episode histories of children aged 1-12 years enrolled in the Junju longitudinal birth cohort.
Adobe PDF - 102.2 KB - MD5: f166563324650c12d2b35e7cc16d6aba
Data DictionaryDocumentation
Contains variable descriptions and value labels
Tabular Data - 200.9 KB - 11 Variables, 3767 Observations - UNF:6:h4OCjeKIOwgiiteBNVCwGw==
CSV formatData
HTML - 2.0 MB - MD5: 6c7c2977cfe18bf3b2b6a7c59a727073
Code
full description of the analysis, created using R markdown (HTML version
Adobe PDF - 1002.4 KB - MD5: 82af4f6741557c365bd90fac6f5dacfc
Code
full description of the analysis, created using R markdown (PDF version)
Sep 23, 2020
Omondi, Brian R.; Muthui, Michelle K.; Muasya, William I.; Orindi, Benedict; Mwakubambanya, Ramadhan S.; Bousema, Teun; Drakeley, Chris; Marsh, Kevin; Bejon, Philip; Kapulu, Melissa C., 2020, "Replication Data for: Antibody responses to crude gametocyte extract predicts P. falciparum gametocyte carriage in Kenya", https://doi.org/10.7910/DVN/AUNDEV, Harvard Dataverse, V1, UNF:6:aeC1vJvoAuJvX/RPQrUrDg== [fileUNF]
This is a replication dataset for the submitted manuscript titled "Antibody responses to crude gametocyte extract predicts P. falciparum gametocyte carriage in Kenya" The dataset constitutes data from two independent cross sectional studies of participants aged 6 months to 67 years. The AFIRM cohort participants were recruited from Junju in Kilifi...
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
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