Abstract
COVID-19 pandemic is one of the worst global disasters in the last century. Its pandemic spread and influence in everyday social life, economics and health is in central interest of concern for all governments in the world. North Macedonia is one of the countries with very high percentage of COVID-19 deaths. The health system in a few periods was before collapse. In this paper, we analyze the COVID-19 epidemic situation in North Macedonia from its beginning. We make analysis and comparisons of the situation in different time epidemic periods. We use regression models and machine learning algorithms in order to make predictions, which can be used as an efficient tool to give directions of the authorities to deal with COVID-19 challenges.
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