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On topological properties of COVID-19: predicting and assessing pandemic risk with network statistics
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-Infection-Rec...
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| Опубликовано в: : | Sci Rep |
|---|---|
| Главные авторы: | , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Nature Publishing Group UK
2021
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7933279/ https://ncbi.nlm.nih.gov/pubmed/33664280 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-021-84094-z |
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