Empirical Analysis of the Dynamics of the COVID-19 Epidemic in Urban Embedded Social Networks.

ABSTRACT:

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 situation getting worse. As the virus spreads through human society, the social networks of confirmed cases can provide us with crucial new insights on this question.

Methods

Based on the epidemiological reports of 235 COVID-19 cases in Nanjing, we constructed a social contact network for the epidemic. By analyzing the structure of this network, we explored the transmission characteristics of the epidemic, to provide evidence-based explanations for its transmission.

Results

In our constructed transmission network, more than half (95/165, 57.58%) of patients were found not to have transmi

SUBMITTER: Wang Z 

PROVIDER: S-EPMC9195001 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature