{
  "abstract": "BackgroundAccurate diagnosis is foundational to effective clinical decision-making and patient outcomes. Availability to essential in vitro diagnostics within the primary health care in Uganda was 10-15% in 2007. Tools to analyse and visualise diagnostic data are essential across clinical, commercial, and policy contexts. Here, we present a novel visualization pipeline using diagnostic availability data from Western Uganda as a case study, alongside a generalizable, data-driven framework for POCT distribution analysis.\n\nMethodAll primary healthcare centers owned by the Ugandan government in the Western Region of Uganda were submitted to a questionnaire concerning current availability of POCT from the Essential diagnostic List 2 part 1a and 1b, and the African laboratory inventory done by African Society of Laboratory Medicine and AfricaCDC. The data from the questionnaire was then linked to open source geodata provided by TomTom, and population data to calculate and visualize the accessibility of captured POCT.\n\nFindingsAvailability of POCT Malaria is almost 100%, HIV 68-90%, and >30% for a majority of the POCT in the EDL-2 panel. 90% of the population in Western Region live within 1 hour by car from most of the essential POCT. Figures in the complementary web-based application visualize the accessibility of POCT for Western Uganda. Diagnostic deserts are visualized.\n\nInterpretationAccess to POCT at primary health care facilities in western Uganda has expanded substantially over the past decades. The geo-mapping tool presented here could inform policy decisions on strengthening diagnostic capacity at the national, regional, and provincial level.\n\nFundingSwedish Research Council and Infravis\n\nAll supplementary materials and a preprint of this submission are available on our OSF repository https://osf.io/j7puk/.",
  "abstract_shown": true,
  "affiliations": [
    "Karolinska Institutet"
  ],
  "article_type": "PUBLISHAHEADOFPRINT",
  "arxiv": null,
  "author_total": 13,
  "authors": [
    {
      "name": "D. Bergman"
    },
    {
      "name": "D. Nyehangane"
    },
    {
      "name": "L. Besancon"
    },
    {
      "name": "M. Podkorytova"
    },
    {
      "name": "V. Tsoumari"
    },
    {
      "name": "D. Staikoglou"
    },
    {
      "name": "A. N. Kimuli"
    },
    {
      "name": "M. R. Richard"
    },
    {
      "name": "P. Ogwok"
    },
    {
      "name": "C. Nankoma"
    },
    {
      "name": "T. Alfven"
    },
    {
      "name": "J. Mwanga-Amumpaire"
    },
    {
      "affs": [
        0
      ],
      "name": "G. Gaudenzi"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/1pj6hsqq3px1j.bib",
  "cited_by": 0,
  "doi": "10.64898/2026.08.28.26361594",
  "fulltext_url": "https://www.medrxiv.org/content/10.64898/2026.08.28.26361594v1.full",
  "id": "1pj6hsqq3px1j",
  "issns": [],
  "landing_url": "https://www.medrxiv.org/content/10.64898/2026.08.28.26361594v1",
  "language": null,
  "licence": "CC-BY",
  "licence_label": "CC BY",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "medrxiv",
      "public and global health"
    ],
    [
      "openalex",
      "2737|Clinical Laboratory Practices and Quality Control"
    ]
  ],
  "openalex": "W7204897349",
  "pdf_url": "https://www.medrxiv.org/content/10.64898/2026.08.28.26361594v1.full.pdf",
  "pmcid": null,
  "pmid": null,
  "published": "2026-08-28",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/1pj6hsqq3px1j.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:17:30Z",
      "native_id": "10.64898/2026.08.28.26361594",
      "source": "medrxiv",
      "url": "https://www.medrxiv.org/content/10.64898/2026.08.28.26361594v1"
    }
  ],
  "subjects": [
    {
      "field": "medicine",
      "origin": "medrxiv:public and global health",
      "subfield": "epidemiology-public-health"
    }
  ],
  "title": "Spatiotemporal Mapping of Point-of-Care Diagnostic Accessibility: A Data-Driven Pipeline for Point-of-Care Distribution Analysis in Western Uganda",
  "title_text": "Spatiotemporal Mapping of Point-of-Care Diagnostic Accessibility: A Data-Driven Pipeline for Point-of-Care Distribution Analysis in Western Uganda",
  "type": "preprint",
  "updated_at": "2026-10-30T12:17:30Z",
  "url": "https://research.draconitic.com/paper/1pj6hsqq3px1j",
  "venue": "medRxiv",
  "versions": []
}