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Mapping child growth failure in Africa between 2000 and 2015

Author

Listed:
  • Aaron Osgood-Zimmerman

    (Institute for Health Metrics and Evaluation, University of Washington)

  • Anoushka I. Millear

    (Institute for Health Metrics and Evaluation, University of Washington)

  • Rebecca W. Stubbs

    (Institute for Health Metrics and Evaluation, University of Washington)

  • Chloe Shields

    (Institute for Health Metrics and Evaluation, University of Washington)

  • Brandon V. Pickering

    (Institute for Health Metrics and Evaluation, University of Washington)

  • Lucas Earl

    (Institute for Health Metrics and Evaluation, University of Washington)

  • Nicholas Graetz

    (Institute for Health Metrics and Evaluation, University of Washington)

  • Damaris K. Kinyoki

    (Institute for Health Metrics and Evaluation, University of Washington)

  • Sarah E. Ray

    (Institute for Health Metrics and Evaluation, University of Washington)

  • Samir Bhatt

    (Imperial College London)

  • Annie J. Browne

    (Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford)

  • Roy Burstein

    (Institute for Health Metrics and Evaluation, University of Washington)

  • Ewan Cameron

    (Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford)

  • Daniel C. Casey

    (Institute for Health Metrics and Evaluation, University of Washington)

  • Aniruddha Deshpande

    (Institute for Health Metrics and Evaluation, University of Washington)

  • Nancy Fullman

    (Institute for Health Metrics and Evaluation, University of Washington)

  • Peter W. Gething

    (Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford)

  • Harry S. Gibson

    (Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford)

  • Nathaniel J. Henry

    (Institute for Health Metrics and Evaluation, University of Washington)

  • Mario Herrero

    (Commonwealth Scientific and Industrial Research Organisation)

  • L. Kendall Krause

    (Bill & Melinda Gates Foundation)

  • Ian D. Letourneau

    (Institute for Health Metrics and Evaluation, University of Washington)

  • Aubrey J. Levine

    (Institute for Health Metrics and Evaluation, University of Washington)

  • Patrick Y. Liu

    (Institute for Health Metrics and Evaluation, University of Washington)

  • Joshua Longbottom

    (Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford)

  • Benjamin K. Mayala

    (Institute for Health Metrics and Evaluation, University of Washington)

  • Jonathan F. Mosser

    (Institute for Health Metrics and Evaluation, University of Washington)

  • Abdisalan M. Noor

    (Kenya Medical Research Institute-Wellcome Trust Collaborative Programme
    Centre for Tropical Medicine and Global Health, University of Oxford)

  • David M. Pigott

    (Institute for Health Metrics and Evaluation, University of Washington)

  • Ellen G. Piwoz

    (Bill & Melinda Gates Foundation)

  • Puja Rao

    (Institute for Health Metrics and Evaluation, University of Washington)

  • Rahul Rawat

    (Bill & Melinda Gates Foundation)

  • Robert C. Reiner

    (Institute for Health Metrics and Evaluation, University of Washington)

  • David L. Smith

    (Institute for Health Metrics and Evaluation, University of Washington)

  • Daniel J. Weiss

    (Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford)

  • Kirsten E. Wiens

    (Institute for Health Metrics and Evaluation, University of Washington)

  • Ali H. Mokdad

    (Institute for Health Metrics and Evaluation, University of Washington)

  • Stephen S. Lim

    (Institute for Health Metrics and Evaluation, University of Washington)

  • Christopher J. L. Murray

    (Institute for Health Metrics and Evaluation, University of Washington)

  • Nicholas J. Kassebaum

    (Institute for Health Metrics and Evaluation, University of Washington
    Seattle Children’s Hospital)

  • Simon I. Hay

    (Institute for Health Metrics and Evaluation, University of Washington
    Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford)

Abstract

Insufficient growth during childhood is associated with poor health outcomes and an increased risk of death. Between 2000 and 2015, nearly all African countries demonstrated improvements for children under 5 years old for stunting, wasting, and underweight, the core components of child growth failure. Here we show that striking subnational heterogeneity in levels and trends of child growth remains. If current rates of progress are sustained, many areas of Africa will meet the World Health Organization Global Targets 2025 to improve maternal, infant and young child nutrition, but high levels of growth failure will persist across the Sahel. At these rates, much, if not all of the continent will fail to meet the Sustainable Development Goal target—to end malnutrition by 2030. Geospatial estimates of child growth failure provide a baseline for measuring progress as well as a precision public health platform to target interventions to those populations with the greatest need, in order to reduce health disparities and accelerate progress.

Suggested Citation

  • Aaron Osgood-Zimmerman & Anoushka I. Millear & Rebecca W. Stubbs & Chloe Shields & Brandon V. Pickering & Lucas Earl & Nicholas Graetz & Damaris K. Kinyoki & Sarah E. Ray & Samir Bhatt & Annie J. Brow, 2018. "Mapping child growth failure in Africa between 2000 and 2015," Nature, Nature, vol. 555(7694), pages 41-47, March.
    • Handle: RePEc:nat:nature:v:555:y:2018:i:7694:d:10.1038_nature25760
    DOI: 10.1038/nature25760
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    Citations

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    Cited by:

    1. Seiler, Johannes & Harttgen, Kenneth & Kneib, Thomas & Lang, Stefan, 2021. "Modelling children's anthropometric status using Bayesian distributional regression merging socio-economic and remote sensed data from South Asia and sub-Saharan Africa," Economics & Human Biology, Elsevier, vol. 40(C).
    2. Sumonkanti Das & Syed Abul Basher & Bernard Baffour & Penny Godwin & Alice Richardson & Salim Rashid, 2024. "Improved estimates of child malnutrition trends in Bangladesh using remote-sensed data," Journal of Population Economics, Springer;European Society for Population Economics, vol. 37(4), pages 1-37, December.
    3. Michler, Jeffrey D. & Josephson, Anna & Kilic, Talip & Murray, Siobhan, 2022. "Privacy protection, measurement error, and the integration of remote sensing and socioeconomic survey data," Journal of Development Economics, Elsevier, vol. 158(C).
    4. Davis, Jac & Magadzire, Nyasha & Hemerijckx, Lisa-Marie & Maes, Tijs & Durno, Darryn & Kenyana, Nobelusi & Lwasa, Shuaib & Van Rompaey, Anton & Verburg, Peter H. & May, Julian, 2022. "Precision approaches to food insecurity: A spatial analysis of urban hunger and its contextual correlates in an African city," World Development, Elsevier, vol. 149(C).
    5. Partha Das & Tanu Das & Tamal Basu Roy, 2022. "Stunting, a linear growth anomaly in under-five year (U5) children: A risk factors’ analysis from maternal, household and individual background in Indian context," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 15(3), pages 1025-1042, June.
    6. Yating Ru & Beliyou Haile & John I. Carruthers, 2022. "Urbanization and child growth failure in Sub-Saharan Africa: a geographical analysis," Journal of Geographical Systems, Springer, vol. 24(3), pages 441-473, July.
    7. Bridgman, Grace & von Fintel, Dieter, 2022. "Stunting, double orphanhood and unequal access to public services in democratic South Africa," Economics & Human Biology, Elsevier, vol. 44(C).
    8. von der Goltz, Jan & Dar, Aaditya & Fishman, Ram & Mueller, Nathaniel D. & Barnwal, Prabhat & McCord, Gordon C., 2020. "Health Impacts of the Green Revolution: Evidence from 600,000 births across the Developing World," Journal of Health Economics, Elsevier, vol. 74(C).
    9. Shon, Huijoo, 2024. "Urbanicity and child health in 26 sub-Saharan African countries: Settlement type and its association with mortality and morbidity," Social Science & Medicine, Elsevier, vol. 340(C).

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