Social mixing and network characteristics of COVID-19 patients before and after widespread interventions: A population-based study

SARS-CoV-2 rapidly spreads among humans via social networks, with social mixing and network characteristics potentially facilitating transmission. However, limited data on topological structural features has hindered in-depth studies. Existing research is based on snapshot analyses, preventing tempo...

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Detalles Bibliográficos
Autores principales: He, Yuncong, Martinez, Leonardo, Ge, Yang, Feng, Yan, Chen, Yewen, Tan, Jianbin, Westbrook, Adrianna, Li, Changwei, Cheng, Wei, Ling, Feng, Cheng, Huimin, Wu, Shushan, Zhong, Wenxuan, Handel, Andreas, Huang, Hui, Sun, Jimin, Shen, Ye
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10540215/
https://www.ncbi.nlm.nih.gov/pubmed/37577939
http://dx.doi.org/10.1017/S0950268823001292

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10540215/
https://www.ncbi.nlm.nih.gov/pubmed/37577939
http://dx.doi.org/10.1017/S0950268823001292

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