Revolutionising use of geospatial data for climate-health and infectious diseases
- Funded by Wellcome Trust
- Total publications:0 publications
Grant number: 333525/Z/25/Z
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Key facts
Disease
Dengue, CholeraStart & end year
20262027Known Financial Commitments (USD)
$688,005Funder
Wellcome TrustPrincipal Investigator
Paul UitholResearch Location
United States of AmericaLead 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.