Return to homepagePandemic Pact

Revolutionising use of geospatial data for climate-health and infectious diseases

Grant number: 333525/Z/25/Z

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Key facts

  • Disease

    Dengue, Cholera
  • Start & end year

    2026
    2027
  • Known Financial Commitments (USD)

    $688,005
  • Funder

    Wellcome Trust
  • Principal Investigator

    Paul Uithol
  • Research Location

    United States of America
  • Lead Research Institution

    Humanitarian Openstreetmap Team (HOT)
  • Research Priority Alignment

    N/A
  • Research Category

    Epidemiological studies

  • Research Subcategory

    Disease surveillance & mapping

  • Special Interest Tags

    Data Management and Data Sharing

  • Study Type

    Non-Clinical

  • Clinical Trial Details

    N/A

  • Broad Policy Alignment

    Pending

  • Age Group

    Unspecified

  • Vulnerable Population

    Other

  • Occupations of Interest

    Unspecified

Abstract

This research will expand trustworthy data sources and data collection tools to improve understanding and action related to climate-health and infectious disease, as follows: 1- Collaborate with stakeholders in informal settlements to collect and use geospatial data to monitor and mitigate risks of climate- sensitive infectious disease (cholera and dengue); 2- Improve usability and function of digital tools to collect and visualise drone imagery and geospatial data so that users can easily gather standardised data about infectious disease outbreaks, climate-health impacts, and other data for science and health; and 3- Conduct initial research and stakeholder engagement about open mapping as a strategic enabler for climate-health by identifying data gaps, generating a theory of change for using mapping to improve health outcomes for vulnerable populations, and establishing a community of practice for scaling and sustaining data use and collaboration. Humanitarian OpenStreetMap Team's (HOT) open mapping tools are a strategic enabler for digital innovation in climate-health and infectious disease and allow users to generate interoperable data that supports evidence-informed decision-making across sectors. Our methodology is globally adaptable, open-source, cost- effective, and builds lasting local capacity for data equity. Project datasets and documentation will be widely accessible on public websites.