Edrus, Robiaatul Adawiah and Siri, Zailan and Che Rose, Farid Zamani and Mohd Safari, Muhammad Aslam (2026) Structural time series modelling of climate change effects on mortality in a tropical developing country. Journal of Information and Communication Technology (JICT), 25 (1). p. 2026. ISSN 1675-414X

Preview

PDF - Published Version Available under License Attribution 4.0 International (CC BY 4.0). Download (1MB) | Preview

Abstract

Heat-related mortality has emerged as a critical public health issue, driven by the accelerating impacts of climate change. Most studies establish a direct causative relationship between high temperatures and mortality; however, there is scarce literature studying the climate change mortality ellipse. This study aims to fill this gap by examining the effects of climate change on mortality in the tropical region with consistently high year-round temperatures, specifically in Malaysia. Structural time-series models were applied to annual mortality data for the period 2005 to 2022, obtained from the Department of Statistics Malaysia. Monthly climate data, including temperature, rainfall amount, number of rainy days, and relative humidity, were sourced from the Malaysian Meteorological Department and subsequently aggregated into annual values to ensure consistency in the analysis. The model uses impulse indicator saturation, which makes it easier to spot structural breaks and extreme values, improving the reliability of the results. The analysis indicates that higher rainfall is strongly associated with increased mortality, reflecting the health risks linked to flooding and waterborne diseases. In contrast, periods of higher relative humidity tend to correspond with lower mortality rates. The fully saturated model identifies two key structural shifts in 2006 and 2018, likely caused by abrupt changes in temperature and rainfall. These findings provide a solid foundation for targeted interventions, such as heat-stress regulations and localised air-quality measures, and offer evidence to guide strategies to reduce climate-related health risks in the country, while also supporting broader public health planning.

Item Type:	Article
Uncontrolled Keywords:	Climate change, impulse indicator saturation, Malaysia, mortality, structural time series model
Subjects:	T Technology > T Technology (General)
Divisions:	School of Economics, Finance & Banking
Depositing User:	Mrs. Norazmilah Yaakub
Date Deposited:	03 Nov 2026 12:29
Last Modified:	03 Nov 2026 12:29
URI:	https://repo.uum.edu.my/id/eprint/34602

Actions (login required)

View Item