A multi-phase, multi-method assessment of national COVID-19 vaccination performance with equity analysis
Mohammadreza Rasouli, Amirreza Salehi, Majid Rafiee, Omid Fatahi Valilai

TL;DR
This study evaluates how 143 countries performed in their response to the COVID-19 pandemic, focusing on vaccination efforts and equity in vaccine distribution.
Contribution
The paper introduces a novel data-driven framework combining clustering and multi-criteria decision-making methods to assess and rank national pandemic responses.
Findings
Countries with strong healthcare systems and equitable vaccine distribution showed more stable performance rankings.
The study identifies significant disparities in global vaccine access using the Gini coefficient.
Early vaccination rollout and strict public health policies correlate with better pandemic response outcomes.
Abstract
The COVID-19 pandemic, originating in Wuhan, China, rapidly escalated into a global crisis, straining public health systems and economies. This study proposes a data-driven framework to evaluate the response performance of 143 countries across three phases: pre-vaccination, vaccination, and post-vaccination. Countries are clustered using K-means clustering based on pandemic-related indicators, and indicator importance is derived using an objective weighting method that accounts for variability and interdependence. Three Multi-Criteria Decision-Making (MCDM) methods (MACONT, COCOSO, and EDAS) are then applied to rank countries within clusters. The framework integrates diverse measures, including healthcare capacity, economic resilience, and the Risk INFORM COVID-19 index, enabling a holistic evaluation. Results reveal notable differences in country performance over time, with early…
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
Click any figure to enlarge with its caption.
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsCOVID-19 epidemiological studies · Vaccine Coverage and Hesitancy · COVID-19 Pandemic Impacts
