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Estimating Joint External Evaluation Scores Using Country Data from 77 Countries, 2016-2018.

Cindy Chiu de Vázquez1, Yuwen Cynthia Jou1, Hein Htet Linn Nyan1

  • 1Cindy Chiu de Vázquez, PhD, MPH, was a Junior Associate Professor; Yuwen Cynthia Jou was a Research Assistant and Consultant; and Momoka Asakura and Kaho Watanabe were Research Students; all in the Department of Community Health, Tohoku University Graduate School of Medicine, Sendai, Japan, when this research was conducted. Hein Htet Linn Nyan, MBBS, was an Independent Consultant. Toungup, Myanmar. Christopher Lowbridge, DrPH, MPH, is a Research Fellow, Global and Tropical Health, Menzies School of Health Research, Charles Darwin University, Darwin, Australia.

Health Security
|March 26, 2021
PubMed
Summary

Joint External Evaluations (JEEs) assess global health security preparedness. A regression model estimated that only 1 in 10 countries globally meet average scores, with high-income nations dominating, highlighting disparities in health security capacity.

Keywords:
Emergency preparedness/responseGlobal health securityInternational Health RegulationsInternational Health Regulations Monitoring and Evaluation FrameworkJoint External Evaluation

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Area of Science:

  • Global Health Security
  • International Health Regulations (IHR)
  • Public Health Preparedness

Background:

  • Joint External Evaluations (JEEs) are crucial for assessing national health security capacities since 2016.
  • JEEs are part of the International Health Regulations (IHR) Monitoring and Evaluation Framework.
  • Unlike mandatory self-assessments, JEEs offer a rigorous, collaborative evaluation of IHR implementation.

Purpose of the Study:

  • To estimate global International Health Regulations (IHR) implementation using a predictive model.
  • To identify factors influencing a country's health security preparedness.
  • To assess the global distribution of health security capacities.

Main Methods:

  • A multiple linear regression model was developed using publicly available JEE data.
  • Data from 78 States Parties' JEE reports were analyzed.
  • Sociodemographic, economic, and health indicators from global databases were incorporated for 194 WHO Member States.

Main Results:

  • The final model identified four key predictors of JEE scores: IHR annual reporting, communicable disease burden (lost disability-adjusted life years), gross domestic product, and health professional density (adjusted R² = 0.833).
  • An estimated 9.7% of countries (19 out of 194) demonstrated average or sustainable capacity across JEE technical areas.
  • All countries achieving these scores were classified as high-income and ranked very high on the Human Development Index.

Conclusions:

  • Global health security capacity is unevenly distributed, with significant disparities.
  • High-income countries disproportionately possess demonstrated health security capacities.
  • Targeted resource allocation and support are essential for advancing global health security, particularly in low- and middle-income nations.