{
  "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 < 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. Conclusion: Stroke 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.",
  "abstract_shown": true,
  "affiliations": [
    "Department of Epidemiology and Biostatistics, School of Public Health, Makerere University, Kampala, Uganda",
    "Uganda National Institute of Public Health, Ministry of Health, Kampala, Uganda",
    "African Population and Health Research Centre, Nairobi, Kenya",
    "Institute of Mathematical Sciences, Strathmore University, Nairobi, Kenya",
    "College of Computing and Information Sciences, Makerere University, Kampala, Uganda",
    "Infectious Diseases Institute, Makerere University, KampalaUganda",
    "Committee on Data of the International Science Council – CODATA, Paris, France"
  ],
  "article_type": "Research Article",
  "arxiv": null,
  "author_total": 10,
  "authors": [
    {
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        0
      ],
      "name": "Suzan Nakasendwa"
    },
    {
      "affs": [
        1
      ],
      "name": "Joan Nankya Mutyoba"
    },
    {
      "affs": [
        2
      ],
      "name": "Alex Riolexus Ario"
    },
    {
      "affs": [
        3
      ],
      "name": "Evans Omondi"
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    {
      "affs": [
        4
      ],
      "name": "Brenda Birungi Bashemera"
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    {
      "affs": [
        5
      ],
      "name": "Francis Kakooza"
    },
    {
      "affs": [
        6
      ],
      "name": "Letisha Najjemba"
    },
    {
      "name": "Joyce Nakatumba Nabende"
    },
    {
      "name": "David Guwatudde"
    },
    {
      "name": "Agnes Kiragga"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/dq6xpgeqg4ty8.bib",
  "cited_by": 0,
  "doi": "10.1371/journal.pone.0360963",
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  "id": "dq6xpgeqg4ty8",
  "issns": [
    "1932-6203"
  ],
  "landing_url": "https://doi.org/10.1371/journal.pone.0360963",
  "language": null,
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "journal",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "openalex",
      "2713|Acute Ischemic Stroke Management"
    ],
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      "plos",
      "/Biology and life sciences/Population biology/Population metrics/Death rates"
    ],
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      "/Medicine and health sciences/Medical conditions/Cardiovascular diseases/Cardiovascular disease risk"
    ],
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      "plos",
      "/Medicine and health sciences/Medical conditions/Cerebrovascular diseases/Stroke"
    ],
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      "/Medicine and health sciences/Neurology/Cerebrovascular diseases/Stroke"
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  "pdf_url": "https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0360963&type=printable",
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-16",
  "publisher": "Public Library of Science",
  "ris": "https://research.draconitic.com/paper/dq6xpgeqg4ty8.ris",
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    {
      "first_seen": "2026-10-30T12:17:23Z",
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  "subjects": [
    {
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      "origin": "plos:cardiovascular diseases",
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  "title": "Rising stroke burden in Uganda: A national time-series analysis and forecasts, 2016–2028",
  "title_text": "Rising stroke burden in Uganda: A national time-series analysis and forecasts, 2016–2028",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T12:17:23Z",
  "url": "https://research.draconitic.com/paper/dq6xpgeqg4ty8",
  "venue": "PLOS One",
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