More than two years have passed since the emergence of COVID-19 challenging all countries worldwide. this study was conducted to examine the world’s countries in terms of outbreak, control, and vaccination against COVID-19
This study is descriptive-analytical. The published files associated with COVID-19 data in World Health Organization from December 2019 to December 2021 were used as a statistical population. these data were analyzed through data mining and using R software. k-means algorithm was employed for clustering.
The results of this clustering indicated that the countries in the third cluster have undergone the worst level of damage in terms of variables related to outbreak and pathogenicity, though they have had a better performance in terms of public vaccination compared to the countries of other clusters. The counties in the second cluster were found to be less afflicted in terms of transmission, mortality, and active cases, but regarding individual recovery, the number of tests taken, and the variables related to public vaccination, the first cluster counties have shown a better performance. Further, the global map resulting from this clustering shows that most countries of each cluster share borders and our neighbor countries. The first cluster countries lie between the second and third clusters, and the third, second, and first cluster countries have large, average, and small areas, respectively.
The performance of different countries against covid19 showed that more effective control of the pandemic depends on a set of prevention strategies through general vaccination, diagnostic and control measures.
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