IDEAS home Printed from https://ideas.repec.org/a/dem/demres/v44y2021i18.html
   My bibliography  Save this article

Age patterns of under-5 mortality in sub-Saharan Africa during 1990‒2018: A comparison of estimates from demographic surveillance with full birth histories and the historic record

Author

Listed:
  • Hallie Eilerts

    (London School of Hygiene and Tropical Medicine)

  • Julio Romero-Prieto

    (London School of Hygiene and Tropical Medicine)

  • Jeffrey Eaton

    (Imperial College London)

  • Georges Reniers

    (London School of Hygiene and Tropical Medicine)

Abstract

Background: Estimates of under-5 mortality (U5M) for sub-Saharan African populations often rely heavily on full birth histories (FBHs) collected in surveys and model age patterns of mortality calibrated against vital statistics from other populations. Health and Demographic Surveillance Systems (HDSSs) are alternate sources of population-based data in much of sub-Saharan Africa, which are less formally utilized in estimation. Objective: In this study we compare the age pattern of U5M in different African data sources (HDSSs, Demographic and Health Surveys (DHS), and Multiple Indicator Cluster Surveys (MICS)), and contrast these with the historical record as summarized in the Human Mortality Database and model age patterns. Methods: We examined the relative levels of neonatal, postneonatal, infant, and child mortality across data sources. We directly compared estimates for DHS and MICS subnational regions with HDSS, and used linear regression to identify data and contextual attributes that correlated with the disparity between estimates. Results: HDSS and FBH data suggests that African populations have higher levels of child mortality and lower infant mortality than the historic record. This age pattern is most explicit for Western African populations, but also characterizes data for other subregions. The comparison between HDSS and FBH data suggests that FBH estimates of child mortality are biased downward. The comparison is less conclusive for neonatal and infant mortality. Contribution: This study questions the practice of using model age patterns derived from largely high-income settings for inferring or correcting U5M estimates for African populations. It also highlights the considerable uncertainty around the consistency of HDSS and FBH estimates of U5M.

Suggested Citation

  • Hallie Eilerts & Julio Romero-Prieto & Jeffrey Eaton & Georges Reniers, 2021. "Age patterns of under-5 mortality in sub-Saharan Africa during 1990‒2018: A comparison of estimates from demographic surveillance with full birth histories and the historic record," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 44(18), pages 415-442.
  • Handle: RePEc:dem:demres:v:44:y:2021:i:18
    DOI: 10.4054/DemRes.2021.44.18
    as

    Download full text from publisher

    File URL: https://www.demographic-research.org/volumes/vol44/18/44-18.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.4054/DemRes.2021.44.18?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. John Wilmoth & Sarah Zureick & Vladimir Canudas-Romo & Mie Inoue & Cheryl Sawyer, 2012. "A flexible two-dimensional mortality model for use in indirect estimation," Population Studies, Taylor & Francis Journals, vol. 66(1), pages 1-28.
    2. Helleringer, Stephane & Liu, Li & Chu, Yue & Rodrigues, Amabelia & Fisker, Ane Baerent, 2020. "Biases in Survey Estimates of Neonatal Mortality: Results from a Validation Study in Urban Areas of Guinea-Bissau," SocArXiv qx2kn, Center for Open Science.
    3. Stéphane Helleringer & Li Liu & Yue Chu & Amabelia Rodrigues & Ane Barent Fisker, 2020. "Biases in Survey Estimates of Neonatal Mortality: Results From a Validation Study in Urban Areas of Guinea-Bissau," Demography, Springer;Population Association of America (PAA), vol. 57(5), pages 1705-1726, October.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hathi, Payal, 2022. "Population science implications of the inclusion of stillbirths in demographic estimates of child mortality," SocArXiv sz8n9, Center for Open Science.
    2. Blake, David & Cairns, Andrew J.G., 2021. "Longevity risk and capital markets: The 2019-20 update," Insurance: Mathematics and Economics, Elsevier, vol. 99(C), pages 395-439.
    3. Yu Horiguchi, 2024. "Application of the Extended Log Quad Model to Municipal Life Tables," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 43(4), pages 1-19, August.
    4. Julio E. Romero-Prieto, 2016. "Aspectos socioeconómicos de la mortalidad en el Pacífico colombiano," Revista Economía y Región, Universidad Tecnológica de Bolívar, vol. 10(2), pages 75-124, December.
    5. Julio E. Romero-Prieto & Adolfo Meisel-Roca, 2019. "Análisis demográfico de la Violencia en Colombia," Cuadernos de Historia Económica 17130, Banco de la República, Economía Regional.
    6. Alexander, Monica, 2018. "Deaths without denominators: using a matched dataset to study mortality patterns in the United States," SocArXiv q79ye, Center for Open Science.
    7. Pinheiro, Pedro Cisalpino & Queiroz, Bernardo L, 2018. "Regional Disparities in Brazilian Adult Mortality: an analysis using Modal Age at Death (M) and Compression of Mortality (IQR)," OSF Preprints t2ey3, Center for Open Science.
    8. Adolfo Meisel Roca & Julio E. Romero Prieto, 2017. "La mortalidad de la Guerra de los Mil Días, 1899-1902," Cuadernos de Historia Económica 15452, Banco de la República, Economía Regional.
    9. Carl P. Schmertmann & Marcos R. Gonzaga, 2018. "Bayesian Estimation of Age-Specific Mortality and Life Expectancy for Small Areas With Defective Vital Records," Demography, Springer;Population Association of America (PAA), vol. 55(4), pages 1363-1388, August.
    10. Mathew E. Hauer & Carl P. Schmertmann, 2020. "Population Pyramids Yield Accurate Estimates of Total Fertility Rates," Demography, Springer;Population Association of America (PAA), vol. 57(1), pages 221-241, February.
    11. Samuel J. Clark, 2019. "A General Age-Specific Mortality Model With an Example Indexed by Child Mortality or Both Child and Adult Mortality," Demography, Springer;Population Association of America (PAA), vol. 56(3), pages 1131-1159, June.
    12. Julio E. Romero-Prieto, 2015. "Población y desarrollo en el Pacífico colombiano," Documentos de Trabajo Sobre Economía Regional y Urbana 14182, Banco de la República, Economía Regional.
    13. Marius D. Pascariu & Ugofilippo Basellini & José Manuel Aburto & Vladimir Canudas-Romo, 2020. "The Linear Link: Deriving Age-Specific Death Rates from Life Expectancy," Risks, MDPI, vol. 8(4), pages 1-18, October.
    14. Julio E. Romero-Prieto, 2016. "Población y desarrollo en la periferia colombiana en el siglo XX," Revista Economía y Región, Universidad Tecnológica de Bolívar, vol. 10(1), pages 7-50, June.
    15. David J Sharrow & Samuel J Clark & Adrian E Raftery, 2014. "Modeling Age-Specific Mortality for Countries with Generalized HIV Epidemics," PLOS ONE, Public Library of Science, vol. 9(5), pages 1-10, May.
    16. Pascariu, Marius D. & Canudas-Romo, Vladimir & Vaupel, James W., 2018. "The double-gap life expectancy forecasting model," Insurance: Mathematics and Economics, Elsevier, vol. 78(C), pages 339-350.
    17. Cheng Li & Hong Mi, 2021. "Assessments of provincial mortality in China’s 2010 population census based on the Developing Countries Mortality Database model life table," Journal of Population Research, Springer, vol. 38(2), pages 169-196, June.
    18. Soumaïla Ouedraogo, 2020. "Estimation of older adult mortality from imperfect data: A comparative review of methods using Burkina Faso censuses," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 43(38), pages 1119-1154.

    More about this item

    Keywords

    under-five mortality; child mortality; infant mortality; neonatal mortality; age patterns of mortality; sub-Saharan Africa; demographic surveillance;
    All these keywords.

    JEL classification:

    • J1 - Labor and Demographic Economics - - Demographic Economics
    • Z0 - Other Special Topics - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:dem:demres:v:44:y:2021:i:18. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Editorial Office (email available below). General contact details of provider: https://www.demogr.mpg.de/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.