According to the statistical analyses, within WP3 both univariate and multivariate (i.e., multiple logistic regression) analyses will be considered to identify sub-groups of the population or clusters of countries more frequently exposed to SHS or to passive exposure to emissions from e-cigarettes. Moreover, to evaluate the changes in time of selected smoking-related aspects, TackSHS data will be compared with data from a previous companion European survey (the PPACTE survey). Within WP9, through the use of specific algorithms, it will be possible to estimate attributable mortality and morbidity to SHS in Europe, taking advantage of: i) prevalence figures on tobacco smoking and SHS exposure from the ThackSHS survey and other selected European datasets; ii) morbidity and mortality figures from the WHO and other sources; iii) and the quantification of the association between SHS exposure and the risk of SHS-related diseases from scientific literature reviews. Within WP10, using SHS exposure figures from the TackSHS survey, a Return On Investment model will be developed to assess the cost-effectiveness, budget impact and a wider set of social return on investment metrics of selected policies aimed at reducing exposure to SHS across European countries.