Rabbi Ahbab Mohammad Fazle, Khan Hafiz T A
Department of Population Sciences, University of Dhaka, Dhaka, Bangladesh.
Public Health Group, College of Nursing, Midwifery and Healthcare, University of West London, London, UK.
J Eval Clin Pract. 2025 Feb;31(1):e14258. doi: 10.1111/jep.14258.
Throughout the twentieth century and beyond, a global trend of declining mortality rates and an increase in life expectancies was noted until the onset of the coronavirus disease 2019 (COVID-19) pandemic. A reduction in life expectancies was observed in most countries, including South Asia, during 2020 and 2021 due to the excess mortality caused by the pandemic.
This study aims to examine the change in life expectancy in selected South Asian countries and the relative change in age- and sex-specific mortality rates over time due to the COVID-19 pandemic. In addition to that, we further examined the effect of a pandemic on a short-term forecast of life expectancy.
Estimated age- and sex-specific mortality rates of seven South Asian countries were utilised from the 2022 revision of the World Population Prospects (WPP 2022). Changes in life expectancies are estimated using standard life table estimation techniques. To estimate the relative change in age- and sex-specific mortality levels and change in mortality forecasts as a result of the pandemic, we applied the Lee-Carter method.
The application of the Lee-Carter model revealed age- and sex-specific variations in mortality improvements, reflecting heightened mortality rates within the region. This decline in mortality improvement is highly observed for both sexes in Pakistan, followed by India and Bangladesh. Populations exhibiting slower rates of improvement throughout their lifespan demonstrated minimal alterations attributable to the pandemic's impact. Comparative life expectancy forecasts indicate a slower rise in post-pandemic life expectancy at birth and in remaining life expectancies at older ages among most of these populations.
These findings highlight the pandemic's profound impact on mortality dynamics, emphasising the need for targeted interventions to mitigate its long-term effects on population health and longevity.
在整个20世纪及以后,全球范围内死亡率下降和预期寿命增加的趋势一直存在,直到2019年冠状病毒病(COVID-19)大流行爆发。2020年和2021年期间,包括南亚在内的大多数国家由于该大流行导致的超额死亡率,观察到预期寿命有所下降。
本研究旨在考察选定南亚国家的预期寿命变化,以及由于COVID-19大流行导致的特定年龄和性别的死亡率随时间的相对变化。除此之外,我们还进一步考察了大流行对预期寿命短期预测的影响。
利用《世界人口展望》2022年修订版(WPP 2022)中的七个南亚国家的估计特定年龄和性别的死亡率。使用标准生命表估计技术来估计预期寿命的变化。为了估计特定年龄和性别的死亡率水平的相对变化以及由于大流行导致的死亡率预测变化,我们应用了李-卡特方法。
李-卡特模型的应用揭示了死亡率改善方面的特定年龄和性别差异,反映出该地区死亡率上升。在巴基斯坦,男女的死亡率改善下降情况都很明显,其次是印度和孟加拉国。在整个生命周期中改善速度较慢的人群,受大流行影响的变化最小。比较预期寿命预测表明,这些人群中大多数在大流行后出生时的预期寿命和老年时的剩余预期寿命增长较慢。
这些发现凸显了大流行对死亡率动态的深远影响,强调需要有针对性的干预措施来减轻其对人口健康和长寿的长期影响。