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May 31, 2026GeoHealth1 citationsOpen Access

Emergency Department Presentations During Dry and Humid Heatwaves: A Case‐Crossover Study in the Northern Territory, Australia

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RBRowena BoydAWAlyson WrightNBNicolas Borchers-Arriagada

Key Points

  • The study aims to understand the impact of heatwaves on emergency department presentations, focusing on the role of humidity in the Northern Territory.
  • Utilized a space-time-stratified case-crossover design analyzing ED presentations from 2001 to 2023.
  • Identified heatwaves using the Excess Heat Factor (EHF) method with temperature-only and temperature-plus-humidity metrics.
  • Applied conditional Poisson regression models for data analysis.
  • All-cause ED presentations increased by 4.4% for severe/extreme heatwaves_T (RR = 1.044, 95%CI 1.018–1.071).
  • Presentations during severe/extreme heatwaves_TH rose by 6.1% (RR = 1.061, 95%CI 1.025–1.098).
  • Identified substantial disparities between the two heatwave indexes, highlighting the need for dual warning systems.

Abstract

Abstract In a rapidly warming climate, heatwaves pose an increasing threat to human health. However, there is limited knowledge of heatwave impacts on health outcomes, or the role of humidity in the tropical and arid climates of Australia's Northern Territory (NT). Using a space‐time‐stratified case‐crossover design and conditional Poisson regression models, we analysed the association between heatwaves and emergency department (ED) presentations from 2001 to 2023, across all six NT public hospitals. Heatwaves were identified using the Excess Heat Factor (EHF) method, with both temperature‐only (heatwavesT) and temperature‐plus‐humidity, heat‐index (heatwavesTH) metrics. We undertook sub‐group analyses by sociodemographic characteristics and principal diagnosis. All‐cause ED presentations increased by 4. 4% (RR = 1. 044, 95%CI 1. 018–1. 071) for severe/extreme and 1. 6% (RR = 1. 016, 95%CI 1. 002–1. 030) for low‐intensity heatwavesT. For heatwavesTH, presentations increased by 6. 1% (RR = 1. 061, 95%CI 1. 025–1. 098, severe/extreme) and 0. 9% (RR = 1. 009, 95%CI 0. 995–1. 024, low‐intensity). Subpopulation increases for severe/extreme heatwavesT occurred for ages 19–49 years (RR = 1. 052; 95%CI 1. 018–1. 087), visitors (RR = 1. 162, 95%CI 1. 038–1. 301) and skin conditions (RR = 1. 116, 95%CI 1. 048–1. 189). Specific to severe/extreme heatwavesTH, presentations increased for Aboriginal peoples (RR = 1. 059, 95%CI 1. 006–1. 114), ages 50–64 years (RR = 1. 141, 95%CI 1. 059–1. 230) and cardiovascular conditions (RR = 1. 111, 95%CI 1. 015–1. 216). Comparing heatwave indexes, 57. 1% of heatwaveT days were not captured by heatwaveTH, and conversely 49. 6% of heatwavesTH days were not captured by heatwaveT. These findings call for dual heatwave warning systems in the NT, incorporating both EHF temperature and heat‐index, and further humidity‐inclusive studies in varied climates. Preventative interventions should target high‐risk populations, prioritizing resources for severe and extreme heatwaves.

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Cite This Study

Boyd et al. (2026) studied this question.

synapsesocial.com/papers/6a1bd1f65783ba022b6fd60ehttps://doi.org/10.1029/2025gh001562
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