ArticleBMC infectious diseases2023
Spatiotemporal overlapping of dengue, chikungunya, and malaria infections in children in Kenya.
Article in BMC infectious diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.
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Who cites it
24 citing papers in PubMed, 1 synthesis or guideline pooled it, 35 citations in OpenAlex.
- Quantitative modelling for dengue and Aedes mosquitoes in Africa: A systematic review of current approaches and future directions for Early Warning System development.PLoS neglected tropical diseases · 2024Pooled it
- Seroincidence Rate of Typhoidal Salmonella in Children, Kenya, 2017-2018.Emerging infectious diseases · 2026Article
- Global epidemiological trends, distribution of NTDs and malaria, and disease burden projections for the next 15 years.Frontiers in public health · 2026Article
- Correlation and epidemiologic distribution of emerging coinfections ofIJID regions · 2025Article
- Chikungunya virus seroprevalence among febrile patients in selected health facilities in Mount Elgon region, Kenya.PLoS neglected tropical diseases · 2025Article
- Sociodemographic and ecological factors associated with malaria and malaria recurrence risk in children in Msambweni, Kwale County, Kenya.Malaria journal · 2025Article
- Risk factors associated with dengue and chikungunya seroprevalence and seroconversion among urban populations in western and coastal Kenya.PLoS neglected tropical diseases · 2025Article
- Predicting the ecological niches ofFrontiers in tropical diseases · 2025Article
- Modelling the effects of precipitation and temperature on malaria incidence in coastal and western Kenya.Malaria journal · 2025Article
- Chikungunya in a pediatric cohort: Asymptomatic infection, seroconversion, and chronicity rates.PLoS neglected tropical diseases · 2025Article
- Temporal Variation and Human Host Predominance inPathogens (Basel, Switzerland) · 2025Article
- Non-household environments make a major contribution to dengue transmission: implications for vector control.Royal Society open science · 2025Article
- Comparison of unmanned aerial vehicle imaging to ground truth walkthroughs for identifying and classifying trash sites serving as potential Aedes aegypti breeding grounds.Parasites & vectors · 2025Article
- Seroprevalence of Chikungunya and O'nyong-nyong Viruses in Senegal, West Africa.Journal of medical virology · 2025Article
- Article
- Malaria survey data and geospatial suitability mapping for understanding spatial and temporal variations of risk across Kenya.Parasite epidemiology and control · 2025Article
- Seroprevalence, incidence estimates, and environmental risk factors for dengue, chikungunya, and Zika infection amongst children living in informal urban settlements in Indonesia and Fiji.BMC infectious diseases · 2025Article
- Spatiotemporal co-distribution and time lagged cross correlation of malaria and dengue in Loreto, Peru.PLOS global public health · 2025Article
- Antibiotic prescribing patterns at outpatient clinics in Western and Coastal Kenya.PLOS global public health · 2025Article
- Seroprevalence, incidence estimates, and environmental risk factors for dengue, chikungunya, and Zika infection amongst children living in informal urban settlements in Indonesia and Fiji.Research square · 2024Article
Corrections and comments
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Authors and funding
11 authors at 4 institutions in 2 countries.
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Abstract
Malaria, chikungunya virus (CHIKV), and dengue virus (DENV) are endemic causes of fever among children in Kenya. The risks of infection are multifactorial and may be influenced by built and social environments. The high resolution overlapping of these diseases and factors affecting their spatial heterogeneity has not been investigated in Kenya. From 2014-2018, we prospectively followed a cohort of children from four communities in both coastal and western Kenya. Overall, 9.8% were CHIKV seropositive, 5.5% were DENV seropositive, and 39.1% were malaria positive (3521 children tested). The spatial analysis identified hot-spots for all three diseases in each site and in multiple years. The results of the model showed that the risk of exposure was linked to demographics with common factors for the three diseases including the presence of litter, crowded households, and higher wealth in these communities. These insights are of high importance to improve surveillance and targeted control of mosquito-borne diseases in Kenya.
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