Economic impact of tuberculosis mortality in 120 countries and the cost of not achieving the Sustainable Development Goals tuberculosis targets: a full-income analysis

被引:58
作者
Silva, Sachin [1 ]
Arinaminpathy, Nimalan [2 ]
Atun, Rifat [1 ]
Goosby, Eric [3 ,4 ]
Reid, Michael [3 ,4 ]
机构
[1] Harvard Univ, Harvard T H Chan Sch Publ Hlth, Boston, MA 02115 USA
[2] Imperial Coll London, Fac Med, Sch Publ Hlth, London, England
[3] Univ Calif San Francisco, Inst Global Hlth Sci, San Francisco, CA 94143 USA
[4] Univ Calif San Francisco, Sch Med, San Francisco, CA 94143 USA
基金
英国医学研究理事会;
关键词
AFRICA; WORLD;
D O I
10.1016/S2214-109X(21)00299-0
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Background The tuberculosis targets for the UN Sustainable Development Goals (SDGs) call for a 90% reduction in tuberculosis deaths by 2030, compared with 2015, but meeting this target now seems highly improbable. To assess the economic impact of not meeting the target until 2045, we estimated full-income losses in 120 countries, including those due to excess deaths resulting from COVID-19-related disruptions to tuberculosis services, for the period 2020-50. Methods Annual mortality risk changes at each age in each year from 2020 to 2050 were estimated for 120 countries. This risk change was then converted to full-income risk by calculating a population-level mortality risk change and multiplying it by the value of a statistical life-year in each country and year. As a comparator, we assumed that current rates of tuberculosis continue to decline through the period of analysis. We calculated the full-income losses, and mean life expectancy losses per person, at birth and at age 35 years, under scenarios in which the SDG targets are met in 2030 and in 2045. We defined the cost of inaction as the difference in full-income losses and tuberculosis mortality between these two scenarios. Findings From 2020 to 2050, based on the current annual decrease in tuberculosis deaths of 2%, 31.8 million tuberculosis deaths (95% uncertainty interval 25.2 million-39.5 million) are estimated to occur, corresponding to an economic loss of US$17.5 trillion (14.9 trillion-20.4 trillion). If the SDG tuberculosis mortality target is met in 2030, 23.8 million tuberculosis deaths (18.9 million-29.5 million) and $13.1 trillion (11.2 trillion-15.3 trillion) in economic losses can be avoided. If the target is met in 2045, 18.1 million tuberculosis deaths (14.3 million-22.4 million) and $10.2 trillion (8.7 trillion-11.8 trillion) can be avoided. The cost of inaction of not meeting the SDG tuberculosis mortality target until 2045 (vs 2030) is, therefore, 5.7 million tuberculosis deaths (5.1 million-8.1 million) and $3.0 trillion (2.5 trillion-3.5 trillion) in economic losses. COVID-19-related disruptions add $290.3 billion (260.2 billion-570.1 billion) to this cost. Interpretation Failure to achieve the SDG tuberculosis mortality target by 2030 will lead to profound economic and health losses. The effects of delay will be greatest in sub-Saharan Africa. Affected countries, donor nations, and the private sector should redouble efforts to finance tuberculosis programmes and research because the economic dividend of such strategies is likely to be substantial. Copyright (C) 2021 The Author(s). Published by Elsevier Ltd.
引用
收藏
页码:E1372 / E1379
页数:8
相关论文
共 43 条
[1]  
[Anonymous], 2018, PRIORITIZING DEV COS
[2]  
[Anonymous], 2014, Guidelines for Preparing Economic Analyses
[3]  
Bloom BR., 2017, Dis Control Priorities, DOI [DOI 10.1596/978-1-4648-0524-0CH11, 10.1596/978-1-4648-0524-0, DOI 10.1596/978-1-4648-0524-0]
[4]  
Bloom D.E., 2003, DEMOGRAPHIC DIVIDEND
[5]   AFRICA'S PROSPECTS FOR ENJOYING A DEMOGRAPHIC DIVIDEND [J].
Bloom, David E. ;
Kuhn, Michael ;
Prettner, Klaus .
JOURNAL OF DEMOGRAPHIC ECONOMICS, 2017, 83 (01) :63-76
[6]   COVID-19 effects on tuberculosis care in Sierra Leone [J].
Buonsenso, D. ;
Iodice, F. ;
Biala, J. Sorba ;
Goletti, D. .
PULMONOLOGY, 2021, 27 (01) :67-69
[7]  
Center for Global Development, 2020, COVID 19 BUDG SPAC H
[8]   The potential impact of the COVID-19 pandemic on the tuberculosis epidemic a modelling analysis [J].
Cilloni, Lucia ;
Fu, Han ;
Vesga, Juan F. ;
Dowdy, David ;
Pretorius, Carel ;
Ahmedov, Sevim ;
Nair, Sreenivas A. ;
Mosneaga, Andrei ;
Masini, Enos ;
Sahu, Suvanand ;
Arinaminpathy, Nimalan .
ECLINICALMEDICINE, 2020, 28
[9]   Dynamics of tuberculosis and economic growth [J].
Delfino, D ;
Simmons, PJ .
ENVIRONMENT AND DEVELOPMENT ECONOMICS, 2005, 10 :719-743
[10]   World Health Organization cardiovascular disease risk charts: revised models to estimate risk in 21 global regions [J].
Di Angelantonio, Emanuele ;
Kaptoge, Stephen ;
Pennells, Lisa ;
De Bacquer, Dirk ;
Cooney, Marie Therese ;
Kavousi, Maryam ;
Stevens, Gretchen ;
Riley, Leanne ;
Savin, Stefan ;
Altay, Servet ;
Amouyel, Philippe ;
Assmann, Gerd ;
Bell, Steven ;
Ben-Shlomo, Yoav ;
Berkman, Lisa ;
Beulens, Joline W. ;
Bjorkelund, Cecilia ;
Blaha, Michael J. ;
Blazer, Dan G. ;
Bolton, Thomas ;
Bonita, Ruth ;
Brenner, Beaglehole Hermann ;
Brunner, Eric J. ;
Casiglia, Edoardo ;
Chamnan, Parinya ;
Choi, Yeun-Hyang ;
Chowdhury, Rajiv ;
Coady, Sean ;
Crespo, Carlos J. ;
Cushman, Mary ;
Dagenais, Gilles R. ;
D'Agostino, Ralph B. ;
Daimon, Makoto ;
Davidson, Karina W. ;
Engstrom, Gunnar ;
Fang, Xianghua ;
Ford, Ian ;
Gallacher, John ;
Gansevoort, Ron T. ;
Gaziano, Thomas Andrew ;
Giampaoli, Simona ;
Grandits, Greg ;
Grimsgaard, Sameline ;
Grobbee, Diederick E. ;
Gudnason, Vilmundur ;
Guo, Qi ;
Humphries, Steve ;
Iso, Hiroyasu ;
Jukema, J. Wouter ;
Kauhanen, Jussi .
LANCET GLOBAL HEALTH, 2019, 7 (10) :E1332-E1345