The current COVID pandemic has exposed the need for collaboration among decision-makers and the use of smart models and bigdata analysis to support their decisions. Several factors, both physical and anthropogenic, such as clinical-epidemiological, climatic, socioeconomic, demographic and mobility act as drivers of Covid19 spread. This project will present a methodological approach to analyze the spatial-temporal evolution of Covid19 cases, assessing its statistical relations with socioeconomic, demographic and mobility factors. The study case will be Portugal municipalities.

The obtained results could help National and Regional health Services to better understand the national distribution and evolution of Covid19 spreading and could be used to support the adoption of policies and mitigation measures, nowadays, and under a hypothetical future wave of Covid19 infections.

Finally, the methodology can be applied in other countries.