Effects of Demographic and Weather Parameters on COVID-19 Basic Reproduction Number

Timely prediction of the COVID-19 progression is not possible without a comprehensive understanding environmental factors that may affect infection transmissibility. Studies addressing parameters influence relied on either total numbers detected cases and similar proxies and/or small number analyzed factors, including analysis regions display narrow range these parameters. We here apply novel approach, exploiting widespread growth regimes in case counts. By applying nonlinear dynamics methods to exponential regime, we extract basic reproductive R0 (i.e., measure inherent biological transmissibility), completely naive population absence social distancing, for 118 different countries. then use bioinformatics systematically collect data large demographics weather from countries, seek their correlations with rate spread. In addition some already reported tendencies, show both results those help settle existing disputes: dependence wind speed air pressure, negative correlation precipitation; significant positive society development level (human index) irrespective testing policies, percent urban population, but an density per se. find strong transmissibility alcohol consumption, refugee numbers, contrary beliefs. Significant tendencies health-related are reported, detailed blood type group showing consistent Rh factor, cholesterol levels.