We use aggregated data from Facebook to show that COVID-19 is more likely to spread
between regions with stronger social network connections. Areas with more social ties to two …

This study sheds new light on the different characteristics of social networks for COVID-19 in
European regions. This study explores six countries (the United Kingdom, Spain, Italy …

Many infectious diseases such as coronavirus disease 2019 spread through preexisting
social networks. Although network models consider the implications of micro-level …

Background: The COVID-19 (the disease caused by the SARS-CoV-2 virus) pandemic has
underscored the need for additional data, tools, and methods that can be used to combat …

We used social network analysis (SNA) to study the novel coronavirus (COVID-19) outbreak
in Karnataka, India, and to assess the potential of SNA as a tool for outbreak monitoring and …

Background Due to the continual recurrence of COVID-19 in urban areas, it is important to
know more about the evolution of the epidemic within this setting to mitigate the risk of the …

Objective: This study explores how social networks for coronavirus disease (COVID-19) are
differentiated by regions. Methods: This study employs a social network analysis for Twitter …

Objectives This study explores how public key players play an important role in social
networks for coronavirus (COVID‐19). Methods This study employs social network analyses …

The COVID-19 pandemic has presented a social dilemma;“social distancing” was required
to stop the spread of disease, but close social contacts were needed more than ever to …

The socio-spatial density of cities creates a critical setting for the spread of viral infections.
Urban public space provides a ground for people to interact with others outside of their …