Projections of global health outcomes from 2005 to 2060 using the International Futures integrated forecasting model

被引:56
作者
Hughes, Barry B. [1 ]
Kuhn, Randall [1 ]
Peterson, Cecilia M. [1 ]
Rothman, Dale S. [1 ]
Solorzano, Jose R. [1 ]
Mothers, Colin D. [2 ]
Dickson, Janet R. [1 ]
机构
[1] Univ Denver, Josef Korbel Sch Int Studies, Denver, CO 80208 USA
[2] WHO, Hlth Stat & Informat, CH-1211 Geneva, Switzerland
关键词
MORTALITY; POPULATION; COUNTRIES; LONGEVITY; FERTILITY;
D O I
10.2471/BLT.10.083766
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Objective To develop an integrated health forecasting model as part of the International Futures (IFs) modelling system. Methods The IFs model begins with the historical relationships between economic and social development and cause-specific mortality used by the Global Burden of Disease project but builds forecasts from endogenous projections of these drivers by incorporating forward linkages from health outcomes back to inputs like population and economic growth. The hybrid IFs system adds alternative structural formulations for causes not well served by regression models and accounts for changes in proximate health risk factors. Forecasts are made to 2100 but findings are reported to 2060. Findings The base model projects that deaths from communicable diseases (CDs) will decline by 50%, whereas deaths from both non-communicable diseases (NCDs) and injuries will more than double. Considerable cross-national convergence in life expectancy will occur. Climate-induced fluctuations in agricultural yield will cause little excess childhood mortality from CDs, although other climate-health pathways were not explored. An optimistic scenario will produce 39 million fewer deaths in 2060 than a pessimistic one. Our forward linkage model suggests that an optimistic scenario would result in a 20% per, cent increase in gross domestic product (GDP) per capita, despite one billion additional people. Southern Asia would experience the greatest relative mortality reduction and the largest resulting benefit in per capita GDP. Conclusion Longterm, integrated health forecasting helps us understand the links between health and other markers of human progress and offers powerful insight into key points of leverage for future improvements.
引用
收藏
页码:478 / 486
页数:9
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