Examination of Human Health Impacts Due to Adverse Climate Events Through the Use of Vulnerability Mapping: A Scoping Review

Int J Environ Res Public Health. 2019 Aug 26;16(17):3091. doi: 10.3390/ijerph16173091.

Abstract

Government officials, health professionals, and other decision makers are tasked with characterizing vulnerability and understanding how populations experience risks associated with exposure to climate-related hazards. Spatial analyses of vulnerable locations have given rise to climate change vulnerability mapping. While not a new concept, the spatial analyses of specific health outcomes remain limited. This review explores different methodologies and data that are used to assess vulnerability and map population health impacts to climate hazards. The review retrieved scholarly articles and governmental reports concerning vulnerability mapping of human health to the impacts of climate change in the United States, published in the last decade. After review, 37 studies were selected for inclusion. Climate-related exposures were distributed across four main categories, including: high ambient temperatures; flood hazards; vector-borne diseases; and wildfires. A number of different methodologies and measures were used to assess health vulnerability to climate-related hazards, including heat vulnerability indices and regression analyses. Vulnerability maps should exemplify how variables measuring the sensitivity and adaptive capacity of different populations help to determine the potential for climate-related hazards to have an effect on human health. Recommendations address methodologies, data gaps, and communication to assist researchers and stakeholders in directing adaptations to their most efficient and effective use.

Keywords: climate change; extreme heat; flooding; geospatial analysis; health outcomes; public health; vector-borne disease; vulnerability mapping; wildfire.

Publication types

  • Systematic Review

MeSH terms

  • Climate Change / statistics & numerical data*
  • Health Status*
  • Humans
  • Public Health / statistics & numerical data*
  • Risk Assessment / statistics & numerical data*
  • Spatial Analysis*
  • United States
  • Vulnerable Populations / statistics & numerical data*