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...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Mike K. P. So, Amanda M. Y. Chu, Agnes Tiwari, Jacky N. L. Chan
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
Materias:
R
Q
Acceso en línea:https://doaj.org/article/fbcff1f4ca4b455d86aca1cb06c77886
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares