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COVID-19: Analytics of contagion on inhomogeneous random social networks
Motivated by the need for robust models of the Covid-19 epidemic that adequately reflect the extreme heterogeneity of humans and society, this paper presents a novel framework that treats a population of N individuals as an inhomogeneous random social network (IRSN). The nodes of the network represe...
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| 出版年: | Infect Dis Model |
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| 第一著者: | |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
KeAi Publishing
2020
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7711301/ https://ncbi.nlm.nih.gov/pubmed/33313455 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.idm.2020.11.001 |
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