Best Practice Performance of COVID-19 in America continent with Artificial Intelligence
Amir Karbassi Yazdi, Hossein Komasi
Abstract
Metaheuristics were employed with ANFIS and K-means to determine whether COVID-19 performed the best on the American continent. A few individuals lost their lives to COVID-19, and quite a few nations assisted with this matter. It is essential to know the nations that performed the best in COVID-19 management. Researchers can carry out evaluations of nations using metaheuristic approaches and ANFIS. Based on the performance of these nations, clusters will be determined and established. The research excluded only two of the thirteen criteria that were investigated. Seven distinct groups have been established for each of the thirty-five nations. In the United States, the performance regarding COVID-19 is the poorest, according to the research. These three nations also had the most extraordinary response to the COVID-19 outbreak. Based on the methodology and the context of the literature evaluation, this work’s contribution may be divided into two distinct areas. The existence of research gaps makes it clear that a regional emphasis is needed rather than a focus on a nation or a portion of a country, which illustrates the requirement for a focus on the whole continent.