Cargando…
A new SEIAR model on small-world networks to assess the intervention measures in the COVID-19 pandemics
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 so...
Autores principales: | Li, Jie, Zhong, Jiu, Ji, Yong-Mao, Yang, Fang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Authors. Published by Elsevier B.V.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8105129/ https://www.ncbi.nlm.nih.gov/pubmed/33996400 http://dx.doi.org/10.1016/j.rinp.2021.104283 |
Ejemplares similares
-
Uncertain SEIAR model for COVID-19 cases in China
por: Jia, Lifen, et al.
Publicado: (2020) -
The introduction of population migration to SEIAR for COVID-19 epidemic modeling with an efficient intervention strategy
por: Chen, Min, et al.
Publicado: (2020) -
Mask on, Mask off: An SEIAR Model to Evaluate the Role of Mask in Preventing Disease Transmission
por: Morciglio, Anthony J., et al.
Publicado: (2021) -
Differential evolution to estimate the parameters of a SEIAR model with dynamic social distancing: the case of COVID-19 in Italy
por: De Falco, I., et al.
Publicado: (2021) -
Bumps in Small-World Networks
por: Laing, Carlo R.
Publicado: (2016)