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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101 to 110 of 446 Results
May 31, 2024 - Harvard Dataverse
Kiyuka, Patience, 2024, "Replication Data for: Incorporating findings from a vaccine refusal study to develop a community play to improve understanding of maternal vaccines in rural Kilifi, Kenya.", https://doi.org/10.7910/DVN/IQENQQ, Harvard Dataverse, V1
In this research note, we provide documentation of how we used research findings from a maternal vaccine hesitancy study to develop a community play to address concerns and issues on maternal vaccines in a rural setting of Kilifi County, Kenya. Although prior studies have used theatre to address issues around mental health, HIV, and patient journey...
Apr 15, 2024
Kutima, Bernadette; Kagucia,Wangeci; Mwai, Kennedy; Kimani, Makobu; Sigilai, Antipa; Mugo, Daisy; Karani, Angela; Akech, Donald; Toroitich, Monica; Karia, Boniface; Tuju, James; Ziraba, Abdhalah K.; Bigogo,Godfrey; Ochieng, Caroline; Onyango, Clayton; Lidechi, Shirley; Munywoki,Patrick K.; Uyoga, Sophie; Adetifa, Ifedayo M. O.; Ochola-Oyier,Lynette I.; Bejon, Philip; Scott,J. Anthony G.; Agweyu, Ambrose; Warimwe, George M.; Nyagwange, James, 2023, "Replication Data for: Comparative performance of the InBios SCoV-2 DetectTM IgG ELISA and the in-house KWTRP ELISA in detecting SARS-CoV-2 spike IgG antibodies in Kenyan populations", https://doi.org/10.7910/DVN/FOYVMT, Harvard Dataverse, V2
This is a replication dataset for the manuscript titled "Comparative performance of the InBios SCoV-2 DetectTM IgG ELISA and the in-house KWTRP ELISA in detecting SARS-CoV-2 spike IgG antibodies in Kenyan populations." The SARS-CoV-2 seroprevalence estimates have been carried out by institutions under the Kenya Multi-Site Sero-surveillance (KEMIS)...
Mar 1, 2024 - Harvard Dataverse
Kiyuka, Patience, Moindi Rodgers, Mutua Meshack, Mumba Noni, Shauri Halimu, 2024, "Replication Data for: Assessing risk perceptions that contribute to tetanus toxoid maternal vaccine hesitancy in Kilifi County, Kenya", https://doi.org/10.7910/DVN/2T6T5G, Harvard Dataverse, V1
We present data and the associated survey questionnaire, key informants’ interview, and focus group discussion guides for the manuscript titled “Assessing risk perceptions that contribute to tetanus toxoid maternal vaccine hesitancy in Kilifi County, Kenya” The related project aimed at assessing risk factors that contribute to maternal tetanus toxo...
Feb 6, 2024
Karisa, Jonathan; Ominde, Kelly; Tuwei, Mercy; Bartilol, Brian; Ondieki, Zedekiah; Musani, Harun; Wanjiku, Caroline; Mwikali, Kioko; Babu, Lawrence; Rono, Martin; Eminov, Mumin; Mbogo, Charles; Bejon, Philip; Mwangangi, Joseph; Laroche, Maureen; Maia, Marta, 2023, "Replication Data for: Utility of MALDI-TOF MS for determination of species identity and blood meal sources of primary malaria vectors on the Kenyan coast", https://doi.org/10.7910/DVN/VYQFNO, Harvard Dataverse, V3, UNF:6:QoLvc7/H8dLhBCXE+ecIYw== [fileUNF]
This is a replication dataset for the manuscript titled: "Utility of MALDI-TOF MS for determination of species identity and blood meal sources of primary malaria vectors on the Kenyan coast", published in the Wellcome Open Research journal. The data files contains results on the evaluation of MALDI-TOF MS as a tool for entomological surveillance by...
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