Elsevier

Results in Physics

Volume 25, June 2021, 104283
Results in Physics

A new SEIAR model on small-world networks to assess the intervention measures in the COVID-19 pandemics

https://doi.org/10.1016/j.rinp.2021.104283Get rights and content
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Abstract

A new susceptible-exposed-infected-asymptomatically infected-removed (SEIAR) model is developed to depict the COVID-19 transmission process, considering the latent period and asymptomatically infected. We verify the suppression effect of typical measures, cultivating human awareness, and reducing social contacts. As for cutting off social connections, the feasible measures encompass social distancing policy, isolating infected communities, and isolating hub nodes. Furthermore, it is found that implementing corresponding anti-epidemic measures at different pandemic stages can achieve significant results at a low cost. In the beginning, global lockdown policy is necessary, but isolating infected wards and hub nodes could be more beneficial as the situation eases. The proposed SEIAR model emphasizes the latent period and asymptomatically infected, thus providing theoretical support for subsequent research.

Keywords

COVID-19
Small-world networks
Social network
Asymptomatically infected
SEIAR

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