Evidence map›Paper›PMID 42886663›Full record

ArticlePloS one2026

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, Agnes Kiragga

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Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Suzan NakasendwaDepartment of Epidemiology and Biostatistics, School of Public Health, Makerere University, Kampala, Uganda.ORCID https://orcid.org/0000-0002-2655-4744
Joan Nankya MutyobaDepartment of Epidemiology and Biostatistics, School of Public Health, Makerere University, Kampala, Uganda.
Alex Riolexus ArioUganda National Institute of Public Health, Ministry of Health, Kampala, Uganda.
Evans OmondiAfrican Population and Health Research Centre, Nairobi, Kenya.ORCID https://orcid.org/0000-0002-1779-1043
Brenda Birungi BashemeraCollege of Computing and Information Sciences, Makerere University, Kampala, Uganda.
Francis KakoozaInfectious Diseases Institute, Makerere University, KampalaUganda.
Letisha NajjembaCommittee on Data of the International Science Council - CODATA, Paris, France.
Joyce Nakatumba NabendeCollege of Computing and Information Sciences, Makerere University, Kampala, Uganda.
David GuwatuddeDepartment of Epidemiology and Biostatistics, School of Public Health, Makerere University, Kampala, Uganda.ORCID https://orcid.org/0000-0003-3563-0224
Agnes KiraggaInstitute of Mathematical Sciences, Strathmore University, Nairobi, Kenya.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionStroke 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.

methodsWe 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).

resultsTrend 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 < 0.001). The epidemiological effect was approximately twice as large as the population effect, indicating that the majority of the increase in stroke cases and deaths is attributable to rising incidence rates rather than population growth alone. ETS model demonstrated that by December 2028, monthly cases and deaths are projected to reach approximately 927 (80% PI: 709-1,156) and 126 (80% PI: 94-160), respectively.

conclusionStroke burden in Uganda is projected to continue increase further over the next years in the absence of effective prevention measures. Strengthened primary prevention, expanded acute stroke care capacity, and improved surveillance systems are urgently needed to mitigate the growing health system impact.

Indexed as

StrokeBayes TheoremForecastingHumansIncidenceRetrospective StudiesUganda

Identifiers

PMID42886663
PMCPMC13674727

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