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Bridging climate and health data for decision making.

Danil Mikhailov1, Rumi Chunara2, Zulma Cucunubá3

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Integrating climate and health data is crucial for public health preparedness against climate-sensitive diseases. Addressing data access and capacity inequities, especially in the Global South, is vital for equitable responses.

Keywords:
Capacity buildingClimate changeData integrationDecision supportEpidemic intelligenceHealth equityInterdisciplinary collaborationPublic healthSurveillance

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Area of Science:

  • Public Health
  • Climate Science
  • Data Science

Background:

  • Climate change poses a significant public health crisis, exacerbating climate-sensitive diseases and straining health systems.
  • Extreme weather events linked to climate change necessitate better integration of climate and health data for risk anticipation.
  • Vulnerable health systems require enhanced preparedness and response strategies informed by climate and health data.

Purpose of the Study:

  • To explore barriers and solutions for integrating climate and health data for improved public health decision-making.
  • To identify innovative approaches and foster collaboration among academia, public health, and civil society.
  • To address inequities in data access, funding, and analytical capacity, particularly in the Global South.

Main Methods:

  • Convening experts from diverse sectors at the WHO Pandemic and Epidemic Intelligence Innovation Forum.
  • Discussing the application of downscaled climate models, cloud-based infrastructures, and cross-sectoral collaboration.
  • Analyzing challenges such as data incompatibility, limited local capacity, and inequitable computational resources.

Main Results:

  • A shift towards a decision-first approach, prioritizing actionable insights over raw data.
  • Emphasis on democratizing access to high-resolution climate data and addressing global South capacity gaps.
  • Showcasing innovative solutions like cloud-based climate stacks, integrated forecasting tools, and capacity-building hubs.

Conclusions:

  • Strengthening technical infrastructure and data interoperability are essential for bridging climate and health disciplines.
  • Empowering local communities and addressing funding/capacity inequities are critical for equitable public health responses.
  • Integrated climate and health data are vital for effective public health preparedness and response in a changing climate.