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Participatory Systems Science To Identify Local Adaptation Strategies For Extreme Heat In King County, Washington.

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Summary
This summary is machine-generated.

Extreme heat poses a significant public health challenge. Participatory systems science, using group model building, helped develop tailored adaptation strategies for King County, Washington, to mitigate heat-related illnesses.

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Area of Science:

  • Public Health
  • Environmental Health
  • Systems Science

Background:

  • Extreme heat is a growing public health concern, influenced by individual, community, health system, and policy factors.
  • Heat-related illnesses require comprehensive adaptation strategies that address complex, interconnected drivers.
  • Effective solutions necessitate collaboration between local government, community members, and health systems.

Purpose of the Study:

  • To describe the application of participatory systems science, specifically group model building, for co-developing extreme heat adaptation strategies.
  • To identify locally tailored solutions for mitigating heat-related illness in a high-exposure area of King County, Washington.
  • To offer a scalable approach for informing national and global climate resilience strategies.

Main Methods:

  • Engaged local government agencies and community members in King County, Washington, an area with high heat exposure.
  • Utilized the participatory systems science approach of group model building to examine interconnected factors driving heat-related illness.
  • Co-developed adaptation strategies and interventions through collaborative processes during 2024-25.

Main Results:

  • Recommended solutions encompass community education on heat risks and health system policies to improve healthcare access.
  • Identified infrastructure changes, such as expanding green spaces, and direct support like cool kits and energy assistance programs.
  • Generated insights applicable to heat adaptation efforts across various jurisdictions.

Conclusions:

  • Participatory systems science, through group model building, effectively co-designs locally relevant extreme heat solutions.
  • The developed strategies address multiple levels of influence, from individual behavior to policy and infrastructure.
  • This scalable approach can inform broader climate resilience strategies to reduce health risks from extreme heat events globally.