MATERIAL AND METHODS

We tried to analyze the available databases to compare the different levels of epidemiological measures and their consequences on the spread of COVID 19 infection. From the relevant sources, we have singled out data for China, as an example of the most rigorous measures to prevent the spread of disease, through moderate models that were predominantly represented in USA and Europe (Serbia, Croatia, France, United Kingdom, Germany, Italy, Spain) to isolated, liberal approach, as seen in Sweden. We searched Pub Med for articles published from 1-4-2020, using the key words “ coronavirus”, “COVID-19”, “SARS-CoV-2”, “social distance”, “incubation period”, moreover, we consulted the web pages of organizations such as WHO, European Centre for Disease Prevention and Control, Worldometer, as well as publicly available data on the websites of the Ministries of the studied countries [10, 11, 12].
STATISTICAL ANALYSIS
Significance was determined using the one-way ANOVA followed by a post-hoc Tukey’s significant difference (HSD) test. A p value <0.01 was considered as significant. The magnitude of correlation between variables was done using SPSS (Chicago, IL) statistical software package (SPSS for Windows, ver. 17, 2008).