Background
Visceral leishmaniasis (VL) remains a major public health challenge in Kenya, disproportionately affecting populations with limited access to timely diagnosis and treatment. National case totals mask local heterogeneity in risk and access. Here we estimate sub-national VL incidence, identify its determinants and optimise geographical placement of treatment centres.
Methods
We analysed nine years (October 2016-September 2025) of ward-level VL surveillance data from health facilities, with WorldPop population denominators. Bayesian small-area models related case occurrence and counts to environmental, socioeconomic and accessibility covariates. Travel time to the 46 existing treatment centres was computed over a motorised friction surface, and additional sites prioritised to maximise population coverage.
Results
We record 11,985 cases, an estimated incidence of 10 per 100,000 population per year, with marked seasonality and epidemic periods. Burden is highly focal: five northern counties account for 86% of cases, with further clustering at sub-county and ward levels and predicted incidence exceeding 100 per 100,000 person-years in several wards in Turkana and West Pokot. Higher temperature, poverty, and poor housing are associated with greater probability of occurrence and higher case counts; higher precipitation is inversely associated. Only 45% of the population in need can reach a treatment centre within 120 minutes of motorised travel. Five optimally sited additions increase this 120-minute coverage to 76%, with diminishing gains from further expansion.
Conclusion
Integrating small-area disease modelling with geospatial accessibility analysis reveals hidden inequities in VL burden and supports equitable, efficient deployment of treatment services towards elimination.
BT - Communications Medicine DA - 10/2026 DO - 10.1038/s43856-026-01958-z LA - ENG M3 - Article N2 -Background
Visceral leishmaniasis (VL) remains a major public health challenge in Kenya, disproportionately affecting populations with limited access to timely diagnosis and treatment. National case totals mask local heterogeneity in risk and access. Here we estimate sub-national VL incidence, identify its determinants and optimise geographical placement of treatment centres.
Methods
We analysed nine years (October 2016-September 2025) of ward-level VL surveillance data from health facilities, with WorldPop population denominators. Bayesian small-area models related case occurrence and counts to environmental, socioeconomic and accessibility covariates. Travel time to the 46 existing treatment centres was computed over a motorised friction surface, and additional sites prioritised to maximise population coverage.
Results
We record 11,985 cases, an estimated incidence of 10 per 100,000 population per year, with marked seasonality and epidemic periods. Burden is highly focal: five northern counties account for 86% of cases, with further clustering at sub-county and ward levels and predicted incidence exceeding 100 per 100,000 person-years in several wards in Turkana and West Pokot. Higher temperature, poverty, and poor housing are associated with greater probability of occurrence and higher case counts; higher precipitation is inversely associated. Only 45% of the population in need can reach a treatment centre within 120 minutes of motorised travel. Five optimally sited additions increase this 120-minute coverage to 76%, with diminishing gains from further expansion.
Conclusion
Integrating small-area disease modelling with geospatial accessibility analysis reveals hidden inequities in VL burden and supports equitable, efficient deployment of treatment services towards elimination.
PB - Springer Science and Business Media LLC PY - 2026 SP - 1 EP - 11 T2 - Communications Medicine TI - Sub-national estimates of visceral leishmaniasis and optimisation of geographical accessibility to treatment centres in Kenya UR - https://www.nature.com/articles/s43856-026-01958-z_reference.pdf SN - 2730-664X ER -