ABSTRACT
The pandemic infection of SARS-CoV-2 presents analogies with the behavior of chemical reactors. Susceptible population (A), active infected population (B), recovered cases (C) and deaths (D) can be assumed to be molecules of chemical compounds and their dynamics seem well aligned with those of composition and conversions in chemical syntheses. Thanks to these analogies, it is possible to generate pandemic predictive models based on chemical and physical considerations and regress their kinetic parameters, either globally or locally, to predict the peak time, entity and end of the infection with certain reliability. These predictions can strongly support the emergency plans decision making process. The model predictions have been validated with data from Chinese provinces that already underwent complete infection dynamics. For all the other countries, the evolution is re-regressed and re-predicted every day, updating a pandemic prediction database on Politecnico di Milano's webpage based on the real-time available data.
ABSTRACT
The Italian form of the Adolescent Reinforcement Survey Schedule (ARSS-I) was administered to (N = 648) high school boys and girls from northern and central Italy. Their responses were factor analyzed using a principal component. VARIMAX rotation procedure (SAS Institute, Inc., 1990). The 10 interpretable factors from the Italian data were compared and contrasted to factor analytic results from Holmes (1991, 1994) studies using American and Japanese students. Additionally, the Italian data analyses includes an examination by gender using t tests for each of the ARSS-I items and an ANOVA for age and age-gender effects on responses to the ARSS-I.
