On topological properties of COVID-19: predicting and assessing pandemic risk with network statistics

Abstract The spread of coronavirus disease 2019 (COVID-19) has caused more than 80 million confirmed infected cases and more than 1.8 million people died as of 31 December 2020. While it is essential to quantify risk and characterize transmission dynamics in closed populations using Susceptible-Infe...

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Autores principales: Mike K. P. So, Amanda M. Y. Chu, Agnes Tiwari, Jacky N. L. Chan
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/fbcff1f4ca4b455d86aca1cb06c77886
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