Rising stroke burden in Uganda: A national time-series analysis and forecasts, 2016–2028

Suzan Nakasendwa, Joan Nankya Mutyoba, Alex Riolexus Ario, Evans Omondi, Brenda Birungi Bashemera, Francis Kakooza, Letisha Najjemba, Joyce Nakatumba Nabende, David Guwatudde and Agnes Kiragga

PLOS ONE, 2026, vol. 21, issue 10, 1-16

Abstract: Introduction: Stroke is a leading cause of mortality and disability globally, with a disproportionate and growing burden in low- and middle-income Countries. However, evidence on national temporal trends and potential impacts in Uganda remains limited. This study examined trends in stroke cases and deaths in Uganda and forecast of future stroke burden through December 2028. Methods: We conducted a retrospective time-series analysis of District Health Information System (DHIS2) from 2016 to 2025. Monthly stroke cases, and deaths were analyzed. Monthly populations of Uganda were estimated using exponential growth interpolation and incorporated as an offset term in Bayesian negative binomial regression models to estimate incidence rate ratios (IRR) at 95% confidence interval (CI). Decomposition analysis using the Kitagawa method was applied to derive contributions from population growth and epidemiological change, based on model estimates. Stationarity and autocorrelation were assessed using the unit root and Ljung–Box tests. Forecasting was performed using the exponential smoothing state-space (ETS) model at 80% prediction intervals (PI). Results: Trend analysis showed sustained monthly increases in stroke incidence and mortality with IRR; 1.005 (95% CI: 1.004–1.006), and 1.006 (95% CI: 1.005–1.007), respectively (all p

Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0360963

DOI: 10.1371/journal.pone.0360963

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