![](\"https://kemri-wellcome.org/zp-content/uploads/2021/02/Coronavirus-CDC-1600x900-002.jpg\")
\n This is a replication dataset for the manuscript titled: \"Seroprevalence of Dengue, Chikungunya and Rift Valley fever virus IgG antibodies in Kenyan blood donors.\"
\n\nAedes-borne arboviruses such as dengue (DENV), chikungunya (CHIKV), and Rift Valley fever virus (RVFV) are increasing globally due to climate change, urbanization, and increased human mobility, and continue to cause recurrent outbreaks in Kenya. However, national data on population exposure remain limited, with most studies being outdated or region-specific. Surveillance is further complicated by overlapping clinical symptoms, while molecular methods detect only short-term infections and serological approaches capture longer-term exposure. Conventional assays such as ELISAs and neutralization tests are often costly, time-consuming, or unsuitable for large-scale studies. To address this, we developed and validated a multiplex bead-based immunoassay (arbo-plex MIA) on the Luminex® platform for the simultaneous detection of IgG antibodies to DENV, CHIKV, and RVFV. Using the Foci Reduction Neutralization Test (FRNT) as the gold standard, we estimated the sensitivity and specificity of the assay, achieving a high proportion of correctly classified samples, and further compared its performance with commercial ELISAs to assess agreement. Assay optimization was conducted using multiple cohorts, including adult samples from coastal Kenya (n=147) for CHIKV and RVFV, and the KIPMAT (n=76) and CPGH (n=57) cohorts for DENV. Additional samples from Kilifi (n=795) and Nairobi (n=843) Health and Demographic Surveillance Systems (HDSS) were used for comparison with ELISAs, alongside a panel of pooled convalescent sera (n=10) from Kenya and Tunisia. The validated assay was then applied to a large national dataset of blood donor samples (n=11,420) to estimate seroprevalence. We used a Bayesian multilevel logistic regression framework to generate pathogen-specific estimates, accounting for age and sex differences in sampling. Assay performance was incorporated into the model through sensitivity and specificity parameters informed by validation data, with uncertainty propagated into the final estimates. Population-representative seroprevalence was obtained by post-stratifying model outputs using age and sex distributions from the 2019 Kenya Population and Housing Census.
"},"citation:depositor":"Mwango, Lillian","title":"Replication Data for: Seroprevalence of Dengue, Chikungunya and Rift Valley fever virus IgG antibodies in Kenyan blood donors","subject":"Medicine, Health and Life Sciences","dateOfDeposit":"2026-04-01","kindOfData":"Open Access","@id":"https://doi.org/10.7910/DVN/3YZ8IE","@type":["ore:Aggregation","schema:Dataset"],"schema:version":"2.0","schema:name":"Replication Data for: Seroprevalence of Dengue, Chikungunya and Rift Valley fever virus IgG antibodies in Kenyan blood donors","schema:dateModified":"Wed Apr 01 09:04:54 EDT 2026","schema:datePublished":"2026-04-01","schema:creativeWorkStatus":"RELEASED","schema:license":"http://creativecommons.org/licenses/by/4.0","dvcore:fileTermsOfAccess":{"dvcore:fileRequestAccess":true},"schema:includedInDataCatalog":"Harvard Dataverse","schema:isPartOf":{"schema:name":"Biosciences Dataverse","@id":"https://dataverse.harvard.edu/dataverse/bioscience","schema:description":"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
\r\n\r\nOur 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.
\r\n\r\nField 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.
\r\n\r\nWe 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.
","schema:isPartOf":{"schema:name":"KWTRP Research Data Repository","@id":"https://dataverse.harvard.edu/dataverse/kwtrp","schema:description":"The KWTRP Data Repository helps researchers make data linked to published works and research studies available for reuse. It also facilitates long-term preservation of research data and reproducibility of reported findings. Data are hosted as open or restricted access. Restricted datasets require submission of a data request to our data governance committee for consideration and approval.
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