Covid 19 III

In the effort of fighting the COVID-19 pandemic, several governments world-wide have imposed unprecedented mobility restrictions and social distancing policies, as these - combined with contact tracing and isolation of cases - represent the most effective strategy to slow down the spread of SARS-CoV-2. Italy has been the first EU country to adopt such interventions, by imposing a national lockdown on March 12 that was lifted about 2 months later, once the epidemic curve had been suppressed.

The spread of COVID-19 caused by the recently discovered SARS-CoV-2 virus has become a worldwide problem with devastating consequences. To slow down the spread of the pandemic, mass quarantines have been implemented globally, provoking further social and economic disruptions. Here, we implement a comprehensive contact tracing network analysis to find the optimal quarantine protocol to dismantle the chain of transmission of coronavirus with minimal disruptions to society.

During COVID-19, the draconian countermeasures adopted to mitigate the spreading of Sars-CoV-2, including the forced closure of schools, public facilities and workplaces, drastically reduced the vehicle traffic and the industrial activities, providing an unprecedented setup for testing sustainability policies.
Capitalizing on powerful tools such as partial correlation, Granger causality and Bayesian state-space models, we propose a complex-causal analysis to investigate the relationship between 16 environmental conditions and human activities variables.

COVID-19 was first detected in China’s Hubei province and has had a severe impact on the life in the country since then. We investigate how this epidemic has influenced attention dynamics on the biggest Chinese microblogging website Sina Weibo in the period December 16, 2019 - April 17, 2020. We focus on the real-time Hot Search List (HSL), which provides the ranking of the most popular 50 hashtags based on the amount of Sina Weibo searches. We show, how the specific events, measures and developments during the epidemic affected the emergence of new hashtags and the ranking on the HSL.