Department of Population Sciences, University of Dhaka, Dhaka, Bangladesh.
Professor of Public Health & Statistics, University of West London, London, United Kingdom.
PLoS One. 2022 Nov 10;17(11):e0276966. doi: 10.1371/journal.pone.0276966. eCollection 2022.
Mortality forecasts are essential part for policymaking in any aging society. In recent years, methods to model and forecast mortality have improved considerably. Among them, Lee-Carter method is one of the most influential method. In this paper, Lee-Carter method is applied to forecast mortality and life expectancy of Bangladesh. A functional data analysis approach is used to decompose the smoothed log-mortality rates in Lee-Carter framework for higher goodness-of-fit of the models and for longer forecast horizons. Bangladesh has been experiencing a mortality transition and has gained life expectancy in last few decades. The fitted model here showed higher pace of mortality decline for women in Bangladesh than that of men. The forecasts showed continuation of mortality improvement in long run and by 2060 life expectancy at birth is expected to reach over 80 years for both sexes in Bangladesh. The study also predicts the effect of reduction in infant mortality on the life expectancy in Bangladesh.
死亡率预测是老龄化社会制定政策的重要组成部分。近年来,死亡率建模和预测的方法有了很大的改进。其中,李-卡特法是最有影响力的方法之一。本文应用李-卡特法预测孟加拉国的死亡率和预期寿命。使用函数数据分析方法对李-卡特框架中的平滑对数死亡率进行分解,以提高模型的拟合优度和延长预测范围。孟加拉国经历了死亡率转变,在过去几十年中获得了预期寿命的延长。拟合模型显示,孟加拉国女性的死亡率下降速度高于男性。预测结果表明,在长期内,孟加拉国的死亡率将继续改善,到 2060 年,孟加拉国男女的预期寿命预计将超过 80 岁。该研究还预测了降低婴儿死亡率对孟加拉国预期寿命的影响。