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As Europe is facing the second wave of the CoViD-19 pandemic, each countryshould carefully review how it dealt with the first wave of outbreak. Lessonsfrom the first experience should be useful to avoid indiscriminate closuresand, above all, to determine universal (understandable) parameters to guide theintroduction of containment measures to reduce the spreading of the virus. Theuse of few (effective) parameters is indeed of extreme importance to create alink between authorities and population, allowing the latter to understand thereason for some restrictions and, consequently, to allow an activeparticipation in the fight against the pandemic.  Testing strategies, fitting skew parameters (as mean, mode, standarddeviation, and skewness), mortality rates, and weekly CoViD-19 spreading data,as more people are getting infected, were used to compare the first wave of theoutbreak in the Italian regions and to determine which parameters have to bechecked before introducing restrictive containment measures. We propose few\textit{universal} parameters that, once appropriately weighed, could be usefulto correctly differentiate the pandemic situation in the national territory andto rapidly assign the properly pandemic risk to each region.

A modelling study across the Italian regions: Lockdown, testing  strategy, colored zones, and skew-normal distributions. How a numerical index  of pandemic criticality could be useful in tackling the CoViD-19