DKG releases Big Data case study on Covid-19 safety assessment

Deep Knowledge Group announced today a major extension of its ongoing Covid-19 Analytics activities through the release of its new 250-page Covid-19 Regional Safety Assessment: Big Data Analysis of 200 Countries and Regions COVID-19 Safety Ranking and Risk Assessment special analytical case study that classifies, analyzes and ranks the economic, societal and health stability of 200 regions, countries and territories globally. The study identifies a new set of regions () as the top-5 safest regions in comparison to the first edition of the report.

Notably, the list of the top-5 safest regions has changed since the release of the first edition of the analytical report, signifying how fast the global dynamic of the pandemic is transforming, and how quickly the levels of regional vulnerability and resilience of specific regions and territories can develop. Specifically, Switzerland, Germany and Israel now occupying #1, #2 and #3 positions, due to having both faced and surpassed significant early challenges in an optimal manner.

Tier 1 (20 regions, analyzed by 130 parameters per region) consists of regions that score exceptionally well in terms of regional safety, while Tier 2 (20 regions, analyzed 60 parameters per region) comprises territories that scored on the higher end of average, as expected by the general quality of their healthcare system. In this section Poland can be found.

Meanwhile, Tier 3 is made up of regions which should have scored well, but which in practice ranked much lower than expected (i.e., territories which failed the critical stress test, but who had the theoretical capacity to surpass it), and Tier 4 consists of regions that scored the least optimally during the first-phase analysis.

(WBJ)