Creating a Spatial Vulnerability Index for Environmental Health

TL;DR

This paper develops a novel methodology for creating health outcome-weighted vulnerability indices related to extreme environmental conditions in Australia, enhancing spatial and temporal monitoring capabilities.

Contribution

It introduces a new weighted vulnerability index methodology that incorporates health outcomes, improving the accuracy of risk assessment over existing methods.

Findings

The new index aligns population sensitivity with health risks more effectively.

The methodology enables detailed national monitoring at weekly temporal resolution.

It demonstrates the ability to detect vulnerability spikes due to environmental exposure changes.

Abstract

Extreme natural hazards are increasing in frequency and intensity. These natural changes in our environment, combined with man-made pollution, have substantial economic, social and health impacts globally. The impact of the environment on human health (environmental health) is becoming well understood in international research literature. However, there are significant barriers to understanding key characteristics of this impact, related to substantial data volumes, data access rights and the time required to compile and compare data over regions and time. This study aims to reduce these barriers in Australia by creating an open data repository of national environmental health data and presenting a methodology for the production of health outcome-weighted population vulnerability indices related to extreme heat, extreme cold and air pollution at various temporal and geographical resolutions. Current state-of-the-art methods for the calculation of vulnerability indices include equal weight percentile ranking and the use of principal component analysis (PCA). The weighted vulnerability index methodology proposed in this study offers an advantage over others in the literature by considering health outcomes in the calculation process. The resulting vulnerability percentiles more clearly align population sensitivity and adaptive capacity with health risks. The temporal and spatial resolutions of the indices enable national monitoring on a scale never before seen across Australia. Additionally, we show that a weekly temporal resolution can be used to identify spikes in vulnerability due to changes in relative national environmental exposure.