TY - JOUR
T1 - Health Security inequalities in Non-EU European Countries
T2 - A Cross-National Comparative Assessment Using an Integrated MCDM-Machine Learning Approach
AU - Aljober, Mijahed Nasser
AU - Nasser, Adel A.
AU - Alghawli, Abed Saif Ahmed
AU - Elsayed, Amani A.K.
N1 - Publisher Copyright:
Copyright: © 2025 Aljober MN et al.
PY - 2025
Y1 - 2025
N2 - Objectives: In an increasingly interconnected world, the effectiveness of health security (HeS) is pivotal in shaping informed health policies and enhancing public health outcomes. This study aims to analyses HeS in 27 non-EU European countries, identifying key priorities and trends, benchmarking against African and Eastern Mediterranean regions (EMR), and ranking and clustering health security performance to inform targeted interventions. Methods: Utilizing 2019, 2021, and aggregated 2017–2021 data from six Global Health Security Index indicators, this study applied an integrated Entropy-CoCoSo-K-means framework. The Entropy method was employed to identify health security (HeS) priorities and trends in Non-EU countries, enabling cross-regional comparisons with African and EMR regions to highlight priority shifts and disparities. The Entropy-CoCoSo (Combined Compromise Solution) model generated dynamic rankings, while K-means clustering categorized countries into five risk clusters (high to dangerous). This integration facilitated cross-national dynamic rankings and cluster analyses, informing targeted interventions across Non-EU countries. Results: Entropy analysis reveals that detection and reporting emerged as the most critical indicator (weight: 0.388), reflecting disparities in surveillance. The risk environment remains minimally influential (0.067), highlighting consistent vulnerabilities to external threats. Compliance with norms shows a sharp rise (0.091 → 0.123), indicating emerging regulatory gaps or uneven adherence to health standards post-2019. Cross-regional comparisons highlighted a focus on detection and reporting in non-EU countries versus an emphasis on prevention in Africa and healthcare infrastructure prioritization in the EMR. Ranking and clustering revealed stark disparities: Armenia, Norway, and the UK consistently ranked “High,” In contrast, Andorra, Monaco, San Marino, and Tajikistan (Cluster 5: “Dangerous”) exhibited systemic weaknesses. Conclusion: This study underscores the need for tailored policies to address non-EU Europe’s evolving HeS challenges. Harmonizing surveillance systems, scaling preventive measures, and bridging compliance gaps are critical. Regional collaboration and resource reallocation to low-performing nations are essential to mitigate disparities.
AB - Objectives: In an increasingly interconnected world, the effectiveness of health security (HeS) is pivotal in shaping informed health policies and enhancing public health outcomes. This study aims to analyses HeS in 27 non-EU European countries, identifying key priorities and trends, benchmarking against African and Eastern Mediterranean regions (EMR), and ranking and clustering health security performance to inform targeted interventions. Methods: Utilizing 2019, 2021, and aggregated 2017–2021 data from six Global Health Security Index indicators, this study applied an integrated Entropy-CoCoSo-K-means framework. The Entropy method was employed to identify health security (HeS) priorities and trends in Non-EU countries, enabling cross-regional comparisons with African and EMR regions to highlight priority shifts and disparities. The Entropy-CoCoSo (Combined Compromise Solution) model generated dynamic rankings, while K-means clustering categorized countries into five risk clusters (high to dangerous). This integration facilitated cross-national dynamic rankings and cluster analyses, informing targeted interventions across Non-EU countries. Results: Entropy analysis reveals that detection and reporting emerged as the most critical indicator (weight: 0.388), reflecting disparities in surveillance. The risk environment remains minimally influential (0.067), highlighting consistent vulnerabilities to external threats. Compliance with norms shows a sharp rise (0.091 → 0.123), indicating emerging regulatory gaps or uneven adherence to health standards post-2019. Cross-regional comparisons highlighted a focus on detection and reporting in non-EU countries versus an emphasis on prevention in Africa and healthcare infrastructure prioritization in the EMR. Ranking and clustering revealed stark disparities: Armenia, Norway, and the UK consistently ranked “High,” In contrast, Andorra, Monaco, San Marino, and Tajikistan (Cluster 5: “Dangerous”) exhibited systemic weaknesses. Conclusion: This study underscores the need for tailored policies to address non-EU Europe’s evolving HeS challenges. Harmonizing surveillance systems, scaling preventive measures, and bridging compliance gaps are critical. Regional collaboration and resource reallocation to low-performing nations are essential to mitigate disparities.
KW - CoCoSo
KW - Entropy weighting method
KW - K-means
KW - MCDM
KW - Non-EU European Countries
KW - clustering
KW - health security
UR - https://www.scopus.com/pages/publications/105016214728
U2 - 10.12688/f1000research.163662.2
DO - 10.12688/f1000research.163662.2
M3 - Article
C2 - 40951318
AN - SCOPUS:105016214728
SN - 2046-1402
VL - 14
JO - F1000Research
JF - F1000Research
M1 - 462
ER -