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Life tables are versatile across various fields, providing a quantitative basis for analyzing mortality and survival rates. Whether used by demographers, actuaries, epidemiologists, or sociologists, life tables offer valuable insights into the dynamics of life and death, facilitating informed decisions in public health, insurance, conservation, and beyond. Their broad applicability highlights the interconnectedness of demographic data with practical outcomes in everyday life and strategic...
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Mortality estimates for WHO SEAR countries: problems and prospects.

Chalapati Rao1, Kanitta Bundhamcharoen2, Matthew Kelly3

  • 1Research School of Population Health, Australian National University, Canberra, Australian Capital Territory, Australia chalapati.rao@anu.edu.au.

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|November 3, 2021
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Summary

Comparing Global Burden of Disease (GBD) and WHO Global Health Estimates (GHE) for 2019 reveals significant discrepancies in cause-specific mortality data for South East Asia Region (SEAR) countries, highlighting the need for improved national statistics systems.

Keywords:
epidemiologyhealth policypublic health

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Area of Science:

  • Public Health
  • Epidemiology
  • Health Statistics

Background:

  • Cause-specific mortality estimates for 11 South East Asia Region (SEAR) countries are produced by Global Burden of Disease (GBD) and WHO Global Health Estimates (GHE).
  • Previous comparisons of these estimates have not been systematically undertaken for SEAR.

Purpose of the Study:

  • To compare GBD and GHE cause-specific mortality estimates for 2019 in 11 SEAR countries.
  • To analyze the reliability of these estimates and identify reasons for discrepancies.
  • To inform strategies for strengthening national mortality statistics systems.

Main Methods:

  • Calculated relative difference (RD) between GBD and GHE estimates for 11 causes of death by sex for each country.
  • Categorized RD as marginal, moderate, high, or extreme.
  • Analyzed national mortality statistics systems to identify data limitations.

Main Results:

  • Relative difference (RD) exceeded 10% in two-thirds of all comparisons.
  • High or extreme RD was observed for tuberculosis, diarrhea, road injuries, and suicide in most SEAR countries.
  • Significant data limitations in national mortality statistics systems were identified across SEAR countries, varying by nation.

Conclusions:

  • Existing cause-specific mortality estimates from GBD and GHE show substantial discrepancies for SEAR countries.
  • Weaknesses in national mortality statistics systems contribute to unreliable empirical data.
  • Customized national strategies are essential to enhance mortality statistics systems for better health policy and research.