A new SEIAR model on small-world networks to assess the intervention measures in the COVID-19 pandemics
Li, J.; Zhong, J.; Ji, Y.-M.; Yang, F.
Results in Physics 25: 104283
2021
ISSN/ISBN: 2211-3797 PMID: 33996400 DOI: 10.1016/j.rinp.2021.104283Document Number: 239321
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.