Active Climate, Earth & Environment Public Health & Healthcare
Revolutionising use of geospatial data for climate-health and infectious diseases
Summary
Original abstract (not yet simplified)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...
View original technical description
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.
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Researchers
Paul Uithol (EPMC Awardee)
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Original classification
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