ArticleProcedia computer science2022
A Group Multi-Criteria approach for development of a country COVID-19 indicator.
Article in Procedia computer science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed.
- Economic vulnerability assessment of EU countries to the impact of COVID-19 pandemic with the revised CEV index.Procedia computer science · 2022Article
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4 authors.
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Abstract
The pandemic generated by the Sars Cov 2 corona virus is monitored, at the level of each country, every day, by several COVID-19 indicators. The present paper proposes a Group Multi-Criteria (GMC) approach for the development of a country COVID-19 indicator called COPACOV (COuntry Performance Against COVID-19) indicator. It is calculated starting from several country COVID-19 indicators measured separately, in a set a countries. COPACOV can identify which countries are more vulnerable to COVID-19 illnesses from several points of view taken together. The GMC approach is based on a hybrid method composed from the Group Analytic Hierarchy Process (GAHP) weighting method and from the Multicriteria Optimization and Compromise Solution (VIKOR) multi-criteria method. The aggregation (consensus) of the experts' opinions, in the GAHP method is calculated with the geometric mean method. The VIKOR method uses the weights calculated by the GAHP method and calculates the COPACOV indicators. The proposed GMC approach is applied in a case study for a set of COVID-19 indicators and a set of Eastern European countries.
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