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.

Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

141 to 150 of 446 Results
ZIP Archive - 5.6 MB - MD5: d4c27f3c59d529b228a0a22337792df3
Case Report FormsDocumentation
Apr 13, 2023
Cheruiyot, Stanley; Orindi, Benedict O.; Warimwe, George M., 2023, "Data for: A phase Ib/II single-blinded, randomised, controlled study to determine safety, immunogenicity and efficacy of the candidate Coronavirus Disease (COVID-19) vaccine ChAdOx1 nCoV-19 in adults in Kenya", https://doi.org/10.7910/DVN/L4NX9M, Harvard Dataverse, V3, UNF:6:Hrsr33WVvMVkOXLz/cPrcA== [fileUNF]
The dataset contains information on demographics, safety and immunogenicity collected to evaluate whether the ChAdOx1 nCoV-19 vaccine is safe, elicits good immune responses and protects Kenyan adults from COVID19. The persistence of these immune responses was investigated up to 12 months following immunization with a single dose of vaccine at Day 0...
Mar 27, 2023
Kamau, Yvonne N.; Tuwei, Mercy; Ominde, Kelly; Ngama, Mwanajuma; Karisa, Jonathan; Babu, Lawrence; Muturi, Martha; Lewa, Frida; Mure, Festus; Mwatasa, Mwaganyuma; Wanjiku, Caroline; Adetifa, Jane; Kern, Charlotte; Duthaler, Urs; Hammann, Felix; Rabinovich, Regina; Chaccour, Carlos; Maia, Marta F., 2023, "Replication Data for: Mosquitocidal effect and pharmacokinetics of different ivermectin dose regimens in preparation for the BOHEMIA trial: An open label, randomized, controlled clinical trial", https://doi.org/10.7910/DVN/MO6MVV, Harvard Dataverse, V1, UNF:6:uc/JmWg1jvQcYkGALdUKfw== [fileUNF]
This is a replication dataset for the manuscript titled: "Mosquitocidal effect and pharmacokinetics of different ivermectin dose regimens in preparation for the BOHEMIA trial: An open-label, randomized, controlled clinical trial." The related study aimed to provide evidence to support the decision of the dose for the BOHEMIA trials by comparing the...
Tabular Data - 23.4 KB - 25 Variables, 132 Observations - UNF:6:hfX5arSaQQiZKX1fW8flDQ==
csvData
participants' ivermectin concentration over time
Add Data

Sign up or log in to create a dataverse or add a dataset.

Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.