Simulation-based estimates and projections of global, regional and country-level maternal mortality by cause, 1990-2050

被引:8
|
作者
Ward, Zachary J. [1 ]
Atun, Rifat [2 ,3 ,4 ]
King, Gary [5 ]
Sequeira Dmello, Brenda [6 ]
Goldie, Sue J. [1 ,3 ,4 ,7 ]
机构
[1] Harvard Univ, Ctr Hlth Decis Sci, Harvard TH Chan Sch Publ Hlth, Boston, MA 02115 USA
[2] Harvard Univ, Harvard TH Chan Sch Publ Hlth, Dept Global Hlth & Populat, Boston, MA USA
[3] Harvard Univ, Harvard TH Chan Sch Publ Hlth, Dept Hlth Policy & Management, Boston, MA USA
[4] Harvard Univ, Harvard Med Sch, Dept Global Hlth & Social Med, Boston, MA USA
[5] Harvard Univ, Inst Quantitat Social Sci, Cambridge, MA USA
[6] Maternal & Newborn Healthcare, Comprehens Community Based Rehabil Tanzania CCBRT, Dar Es Salaam, Tanzania
[7] Harvard Univ, Global Hlth Educ & Learning Incubator, Cambridge, MA USA
关键词
SYSTEMATIC ANALYSIS; NATIONAL LEVELS;
D O I
10.1038/s41591-023-02310-x
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Modeling analyses of maternal mortality data for 200 countries and territories reveal that based on current trends, the maternal mortality Sustainable Development Goal targets for 2030 are unlikely to be met. Maternal mortality is a major global health challenge. Although progress has been made globally in reducing maternal deaths, measurement remains challenging given the many causes and frequent underreporting of maternal deaths. We developed the Global Maternal Health microsimulation model for women in 200 countries and territories, accounting for individual fertility preferences and clinical histories. Demographic, epidemiologic, clinical and health system data were synthesized from multiple sources, including the medical literature, Civil Registration Vital Statistics systems and Demographic and Health Survey data. We calibrated the model to empirical data from 1990 to 2015 and assessed the predictive accuracy of our model using indicators from 2016 to 2020. We projected maternal health indicators from 1990 to 2050 for each country and estimate that between 1990 and 2020 annual global maternal deaths declined by over 40% from 587,500 (95% uncertainty intervals (UI) 520,600-714,000) to 337,600 (95% UI 307,900-364,100), and are projected to decrease to 327,400 (95% UI 287,800-360,700) in 2030 and 320,200 (95% UI 267,100-374,600) in 2050. The global maternal mortality ratio is projected to decline to 167 (95% UI 142-188) in 2030, with 58 countries above 140, suggesting that on current trends, maternal mortality Sustainable Development Goal targets are unlikely to be met. Building on the development of our structural model, future research can identify context-specific policy interventions that could allow countries to accelerate reductions in maternal deaths.
引用
收藏
页码:1253 / +
页数:17
相关论文
共 17 条
  • [1] Simulation-based estimates and projections of global, regional and country-level maternal mortality by cause, 1990–2050
    Zachary J. Ward
    Rifat Atun
    Gary King
    Brenda Sequeira Dmello
    Sue J. Goldie
    Nature Medicine, 2023, 29 : 1253 - 1261
  • [2] Global maternal mortality projections by urban/rural location and education level: a simulation-based analysis
    Ward, Zachary J.
    Atun, Rifat
    King, Gary
    Dmello, Brenda Sequeira
    Goldie, Sue J.
    ECLINICALMEDICINE, 2024, 72
  • [3] IDF Diabetes Atlas: Global, regional and country-level diabetes prevalence estimates for 2021 and projections for 2045
    Sun, Hong
    Saeedi, Pouya
    Karuranga, Suvi
    Pinkepank, Moritz
    Ogurtsova, Katherine
    Duncan, Bruce B.
    Stein, Caroline
    Basit, Abdul
    Chan, Juliana C. N.
    Mbanya, Jean Claude
    Pavkov, Meda E.
    Ramachandaran, Ambady
    Wild, Sarah H.
    James, Steven
    Herman, William H. H.
    Zhang, Ping
    Bommer, Christian
    Kuo, Shihchen
    Boyko, Edward J. J.
    Magliano, Dianna J.
    DIABETES RESEARCH AND CLINICAL PRACTICE, 2022, 183
  • [4] IDF Diabetes Atlas: Global, regional and country-level diabetes prevalence estimates for 2021 and projections for 2045 (vol 183, 109119, 2022)
    Sun, Hong
    Saeedi, Pouya
    Karuranga, Suvi
    Pinkepank, Moritz
    Ogurtsova, Katherine
    Duncan, Bruce B.
    Stein, Caroline
    Basit, Abdul
    Chan, Juliana C. N.
    Mbanya, Jean Claude
    Pavkov, Meda E.
    Ramachandaran, Ambady
    Wild, Sarah H.
    James, Steven
    Herman, William H.
    Zhang, Ping
    Bommer, Christian
    Kuo, Shihchen
    Boyko, Edward J.
    Magliano, Dianna J.
    DIABETES RESEARCH AND CLINICAL PRACTICE, 2023, 204
  • [5] Trends and projections of inflammatory bowel disease at the global, regional and national levels, 1990-2050: a bayesian age-period-cohort modeling study
    Zhou, Jia-Li
    Bao, Jia-Chen
    Liao, Xu-Ying
    Chen, Yi-Jia
    Wang, Lin-Wei
    Fan, Yan-Yun
    Xu, Qin-Yu
    Hao, Lan-Xiang
    Li, Kun-Jian
    Liang, Ming-Xian
    Hu, Tian-Hui
    Liu, Zheng-Jin
    Hu, Yi-Qun
    BMC PUBLIC HEALTH, 2023, 23 (01)
  • [6] Global-, regional- and country-level estimates of the work-related burden of diseases and accidents in 2019
    Takala, Jukka
    Hamalainen, Paeivi
    Sauni, Riitta
    Nygard, Clas-Hakan
    Gagliardi, Diana
    Neupane, Subas
    SCANDINAVIAN JOURNAL OF WORK ENVIRONMENT & HEALTH, 2024, 50 (02) : 73 - 82
  • [7] Global, regional, and country-level estimates of hepatitis C infection among people who have recently injected drugs
    Grebely, Jason
    Larney, Sarah
    Peacock, Amy
    Colledge, Samantha
    Leung, Janni
    Hickman, Matthew
    Vickerman, Peter
    Blach, Sarah
    Cunningham, Evan B.
    Dumchev, Kostyantyn
    Lynskey, Michael
    Stone, Jack
    Trickey, Adam
    Razavi, Homie
    Mattick, Richard P.
    Farrell, Michael
    Dore, Gregory J.
    Degenhardt, Louisa
    ADDICTION, 2019, 114 (01) : 150 - 166
  • [8] Global, regional and country-level 90-90-90 estimates for 2018: assessing progress towards the 2020 target
    Marsh, Kimberly
    Eaton, Jeffrey W.
    Mahy, Mary
    Sabin, Keith
    Autenrieth, Christine S.
    Wanyeki, Ian
    Daher, Juliana
    Ghys, Peter D.
    AIDS, 2019, 33 : S213 - S226
  • [9] Global, regional, and national levels and trends in maternal mortality between 1990 and 2015, with scenario-based projections to 2030: a systematic analysis by the UN Maternal Mortality Estimation Inter-Agency Group
    Alkema, Leontine
    Chou, Doris
    Hogan, Daniel
    Zhang, Sanqian
    Moller, Ann-Beth
    Gemmill, Alison
    Fat, Doris Ma
    Boerma, Ties
    Temmerman, Marleen
    Mathers, Colin
    Say, Lale
    LANCET, 2016, 387 (10017): : 462 - 474
  • [10] Global, Regional, and National Trends in Liver Disease-Related Mortality Across 112 Countries From 1990 to 2021, With Projections to 2050: Comprehensive Analysis of the WHO Mortality Database
    Hahn, Jong Woo
    Woo, Selin
    Park, Jaeyu
    Lee, Hyeri
    Kim, Hyeon Jin
    Ko, Jae Sung
    Moon, Jin Soo
    Rahmati, Masoud
    Smith, Lee
    Kang, Jiseung
    Pizzol, Damiano
    Tully, Mark A.
    Dragioti, Elena
    Sanchez, Guillermo F. Lopez
    Lee, Kwanjoo
    Ha, Yeonjung
    Lee, Jinseok
    Lee, Hayeon
    Rhee, Sang Youl
    Son, Yejun
    Kim, Soeun
    Yon, Dong Keon
    JOURNAL OF KOREAN MEDICAL SCIENCE, 2024, 39 (46)