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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| Format: | Article |
| Language: | English |
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KeAi Communications Co., Ltd.
2021-01-01
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| Series: | Infectious Disease Modelling |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2468042720300713 |