IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0219919.html
   My bibliography  Save this article

Under-five mortality in The Gambia: Comparison of the results of the first demographic and health survey with those from existing inquiries

Author

Listed:
  • Anne J Rerimoi
  • Momodou Jasseh
  • Schadrac C Agbla
  • Georges Reniers
  • Anna Roca
  • Ian M Timæus

Abstract

Background: In The Gambia, national estimates of under-five mortality (U5M) were from censuses and multiple indicator cluster surveys (MICS). The country’s first demographic and health survey (DHS) conducted in 2013 provided empirical disaggregated national estimates of neonatal, post-neonatal and child mortality trends. Objective: To assess the consistency and accuracy of the estimates of U5M from the existing data sources and its age-specific components in rural Gambia and produce reliable up-to-date estimates. Methods: Available national data on under-five mortality from 2000 onwards were extracted. Additionally, data from two DHS regions were compared to those from two health and demographic surveillance systems (HDSS) located within them. Indirect and direct estimates from the data were compared and flexible parametric survival methods used to predict mortality rates for all empirical data points up to 2015. Findings: Internal consistency checks on data quality for indirect estimation of U5M suggest that the data were plausible at national level once information from women aged 15–19 years was excluded. The DHS and HDSS data used to make direct U5M estimates were plausible, however HDSS data were of better quality. For 2009–2013, the DHS estimates agreed well with the 2013 census and 2010 MICS reports of U5M but was less accurate about the early births of older women. The most recent estimates from the 2013 DHS, which refer to 2011–12, are an U5M rate of 54/1000 livebirths (95% CI: 43–64) and a neonatal mortality rate of 21/1000 livebirths (95% CI: 15–27), contributing almost 40% of U5M in The Gambia. The DHS showed that for the decade prior to the survey, child mortality dropped by 55% and neonatal mortality by 31%. This indicates the importance of neonatal mortality in The Gambia, and the need to focus on neonatal survival, while maintaining currently successful strategies to further reduce U5M.

Suggested Citation

  • Anne J Rerimoi & Momodou Jasseh & Schadrac C Agbla & Georges Reniers & Anna Roca & Ian M Timæus, 2019. "Under-five mortality in The Gambia: Comparison of the results of the first demographic and health survey with those from existing inquiries," PLOS ONE, Public Library of Science, vol. 14(7), pages 1-14, July.
    • Handle: RePEc:plo:pone00:0219919
    DOI: 10.1371/journal.pone.0219919
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0219919
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0219919&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0219919?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. Patrick Royston & Paul C. Lambert, 2011. "Flexible Parametric Survival Analysis Using Stata: Beyond the Cox Model," Stata Press books, StataCorp LP, number fpsaus, March.
    2. Romesh Silva, 2012. "Child Mortality Estimation: Consistency of Under-Five Mortality Rate Estimates Using Full Birth Histories and Summary Birth Histories," PLOS Medicine, Public Library of Science, vol. 9(8), pages 1-14, August.
    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. Jackson, Christopher, 2016. "flexsurv: A Platform for Parametric Survival Modeling in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 70(i08).
    2. Patrick Royston, 2012. "Tools to simulate realistic censored survival-time distributions," Stata Journal, StataCorp LP, vol. 12(4), pages 639-654, December.
    3. Muhammad Asif Wazir & Anne Goujon, 2019. "Assessing the 2017 Census of Pakistan Using Demographic Analysis: A Sub-National Perspective," VID Working Papers 1906, Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna.
    4. Noori Akhtar-Danesh, 2015. "A Comparison of Modeling Scales in Flexible Parametric Models," 2015 Stata Conference 15, Stata Users Group.
    5. Eoghan Brady & Kenneth Hill, 2017. "Testing survey-based methods for rapid monitoring of child mortality, with implications for summary birth history data," PLOS ONE, Public Library of Science, vol. 12(4), pages 1-10, April.
    6. Katie Wilson & Jon Wakefield, 2021. "Child mortality estimation incorporating summary birth history data," Biometrics, The International Biometric Society, vol. 77(4), pages 1456-1466, December.
    7. Talamas Marcos, Miguel Ángel, 2023. "Surviving Competition: Neighborhood Shops vs. Convenience Chains," IDB Publications (Working Papers) 13018, Inter-American Development Bank.
    8. Iversen, Tor & Ching-to , Albert Ma, 2020. "Technology Adoption in Primary Health Care," HERO Online Working Paper Series 2020:4, University of Oslo, Health Economics Research Programme.
    9. Herrera Dappe,Matias & Melecky,Martin & Turkgulu,Burak, 2022. "Fiscal Risks from Early Termination of Public-Private Partnerships in Infrastructure," Policy Research Working Paper Series 9972, The World Bank.
    10. Michael J. Crowther & Paul C. Lambert, 2012. "Simulating complex survival data," Stata Journal, StataCorp LP, vol. 12(4), pages 674-687, December.
    11. James P Cross & AustÄ— VaznonytÄ—, 2020. "Can we do what we say we will do? Issue salience, government effectiveness, and the legislative efficiency of Council Presidencies," European Union Politics, , vol. 21(4), pages 657-679, December.
    12. Martin Connock & Peter Auguste & Xavier Armoiry, 2021. "A comparison of published time invariant Markov models with Partitioned Survival models for cost effectiveness estimation; three case studies of treatments for glioblastoma multiforme," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 22(1), pages 89-100, February.
    13. Yempabou Bruno Lankoandé & Bruno Masquelier & Pascal Zabre & Hélène Bangré & Géraldine Duthé & Abdramane B. Soura & Gilles Pison & Sié Ali, 2022. "Estimating mortality from census data: A record-linkage study of the Nouna Health and Demographic Surveillance System in Burkina Faso," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 46(22), pages 653-680.
    14. Paul Lambert, 2018. "Standardized survival curves and related measures from flexible survival parametric models," London Stata Conference 2018 14, Stata Users Group.
    15. Andrea Verhulst, 2016. "Child mortality estimation: An assessment of summary birth history methods using microsimulation," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 34(39), pages 1075-1128.
    16. Patricia Guyot & Anthony E. Ades & Matthew Beasley & Béranger Lueza & Jean-Pierre Pignon & Nicky J. Welton, 2017. "Extrapolation of Survival Curves from Cancer Trials Using External Information," Medical Decision Making, , vol. 37(4), pages 353-366, May.
    17. Eddie Gibson & Ian Koblbauer & Najida Begum & George Dranitsaris & Danny Liew & Phil McEwan & Amir Abbas Tahami Monfared & Yong Yuan & Ariadna Juarez-Garcia & David Tyas & Michael Lees, 2017. "Modelling the Survival Outcomes of Immuno-Oncology Drugs in Economic Evaluations: A Systematic Approach to Data Analysis and Extrapolation," PharmacoEconomics, Springer, vol. 35(12), pages 1257-1270, December.
    18. Zuzana Špacírová & Stephen Kaptoge & Leticia García-Mochón & Miguel Rodríguez Barranco & María José Sánchez Pérez & Nicola P. Bondonno & Anne Tjønneland & Elisabete Weiderpass & Sara Grioni & Jaime Es, 2023. "The cost-effectiveness of a uniform versus age-based threshold for one-off screening for prevention of cardiovascular disease," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 24(7), pages 1033-1045, September.
    19. H. Joseph Newton & Nicholas J. Cox, 2016. "The Stata Journal Editors' Prize 2016: Patrick Royston," Stata Journal, StataCorp LP, vol. 16(4), pages 815-825, December.
    20. Ghislain B D Aihounton & Arne Henningsen, 2021. "Units of measurement and the inverse hyperbolic sine transformation," The Econometrics Journal, Royal Economic Society, vol. 24(2), pages 334-351.

    More about this item

    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:plo:pone00:0219919. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.