Best Practice Performance About Covid 19 in America Continent with Artificial Intelligence

Abstract

Several people have lost their lives as a result of the catastrophic COVID-19 pandemic. To resolve this issue, many countries have to receive assistance. Therefore, they need to know which countries performed the best or worst in terms of COVID-19.The COVID-19 database evaluation factors included Confirmed, Deaths, Recovered, Active, New cases, new deaths, newly recovered, deaths per confirmed/100 Cases, Recovered per confirmed/100 Cases, Deaths/100 Recovered, Confirmed last week, 1-week change, one week % increase.ANFIS and K-means with the metaheuristics method are applied in this research to find the best performance of the Covid 19 in the American continent. We can find the best metric for evaluating countries by combining ANFIS and metaheuristic methods. Then, based on the performance of these countries, clusters are formed based on their performance. There were 13 factors in the study, but only two were eliminated as a result of the analysis. Furthermore, the 35 countries were categorized into seven groups. According to the results, the US had the worst performance when dealing with Covid 19. Chile, Mexico, and Peru were among the best countries to cope with Covid 19 in this study. 

Note:
Funding Information: This work was supported by the Universidad Católica del Norte (grant number VRIDT N°071/2022).

Declaration of Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Keywords: Covid 19, Performance measurement, ANFIS method, K-means method, Metaheuristics method