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Impact of Future Cold and Heat on Mortality by Two Exposure Measurements Under Different Scenarios: Impact of Global Warming in the West of Iran Publisher



Rezaee R1, 2 ; Maleki A1, 2 ; Aboubakri O1, 3, 4 ; Safari M1, 2 ; Masoodian SA5 ; Darand M6, 7 ; Godini K1 ; Goudarzi G8, 9 ; Khosravi A10 ; Zarei M11, 12
Authors
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Authors Affiliations
  1. 1. Environmental Health Research Center, Research Institute for Health Development, Kurdistan University of Medical Sciences, Sanandaj, Iran
  2. 2. Department of Environmental Health Engineering, Faculty of Health, Kurdistan University of Medical Sciences, Sanandaj, Iran
  3. 3. Health Metrics and Evaluation Research Center, Research Institute for Health Development, Kurdistan University of Medical Sciences, Sanandaj, Iran
  4. 4. Neurosciences Research Center, Research Institute for Health Development, Kurdistan University of Medical Sciences, Sanandaj, Iran
  5. 5. Department of Physical Geography, University of Isfahan, Isfahan, Iran
  6. 6. Department of Climatology, University of Kurdistan, Sanandaj, Iran
  7. 7. Department of Zrebar Lake Environmental Research, Kurdistan Studies Institute, University of Kurdistan, Sanandaj, Iran
  8. 8. Department of Environmental Engineering, School of Public Health, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
  9. 9. Air Pollution and Respiratory Diseases Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
  10. 10. Center for Primary Health Care Network Management, Deputy for Public Health, Iranian Ministry of Health and Medical Education, Tehran, Iran
  11. 11. Department of Health in Emergencies and Disasters, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
  12. 12. Deputy of Research and Technology, Kurdistan University of Medical Sciences, Sanandaj, Iran

Source: Air Quality, Atmosphere and Health Published:2025


Abstract

Satellite-based data has been currently considered as an important exposure in projection studies of climate change impact on mortality. We projected all-cause mortality attributable to heat and cold by 2099 under adaptation, population change and climate scenarios using the data, in addition to ground-based exposure. Air temperature was estimated using Land Surface Temperature (LST) in a city-specific regression model. The predicted temperature was corrected for the bias using Bland–Altman approach and observed data in each city. The bias-corrected and observed predictors were then used in a two-stage time series regression to estimate baseline city-specific and pooled associations across five cities. Combination of the dose–response association and projected temperature by RCPs and GCMs along mortality data were used in the projection analysis. The temperature was estimated to increase by 6 °C in all of the regions under the worst scenario. Based on station data and under all scenarios, the Attributable Fraction (AF) and number of deaths due to cold were higher than heat in all decades in future. Also, the uncertainty in the heat effect was low if there is no adaptation to heat especially during 2020–2050 (e.g., AF for the worst scenario of RCPs and population variant was 0.07 (Empirical CI: 0.01, 0.12)). However, both exposures showed an increasing impact (Attributable Fraction (AF) and number of deaths) of heat and decreasing impact of cold in future. Compared to station-based data, the uncertainty in heat impact using the predicted data was lower under all scenarios in all decades. Along the observed data measured by weather stations the satellite-based exposure should be addressed in the studies of the projection of climate change impact on mortality. Our findings specifically highlight the urgent need for adaptive strategies to mitigate the impacts of extreme heat events, particularly in the cities like Ilam where adaptation scenario had an important role on the projection analysis. © The Author(s), under exclusive licence to Springer Nature B.V. 2024.
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