Cov19 in Italy: Correlation with Clinical, Demographical, Social Variables, and Water

Background: The cov19 is a very serious problem in most of the developed countries. Material and Methods: The data of positive cases and deaths due to Cov19 from March 1st to April 22nd in Italy were retrieved from the official documents released by the Department of the Italian Protezione Civile. The curves of the growth were analyzed both in terms of crude numbers and differential values among days. The data were correlated with clinical, demographical, social variables, and water (rivers linear Km, and domestic consumption) retrieved from public records. Results: Cov19 is affecting the most productive areas of Italy, particularly in the Northen territories. The average values of symptomatic positive cases and deaths in the period were respectively 2.6 % and 0.021 %, while the ratio between positive case and death was 13.8 %. The pick of the curves was reached approximately 3-4 weeks after the appearance of the first symptomatic cases, and their declining over time seems to be asymptotic. No correlation was found with aging, cardiovascular diseases, diabetes and smoke, though Cov19 seems to behave as an independent disease. Significant correlations were shown with cars/1000 inhabitants and number of buses for public transportation. A very high correlation was found with Km of rivers in the regional territories and the domestic water consumption. Conclusion: Cov19 is affecting particularly the most prosperous Italian Regions, were the high interaction among people is the common life style. The disease bound to the virus behaves as an independent disease and aging, smoking or chronic diseases did not show to have a relevant impact. The lockdown was effective, but the water pollution, in terms of viral spreading, is still an overt problem to be solved. The differences of the Cov19 impact on the Regions suggest to focus the resources mainly in those were the viral infection was violent.