Modelling Singapore COVID-19 pandemic with a SEIR multiplex network model
Abstract In this paper, we have implemented a large-scale agent-based model to study the outbreak of coronavirus infectious diseases (COVID-19) in Singapore, taking into account complex human interaction pattern. In particular, the concept of multiplex network is utilized to differentiate between so...
Guardado en:
Autores principales: | N. N. Chung, L. Y. Chew |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/f0934c06a54f4e0a8ad11f2b523628bd |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Addressing hospitalisations with non-error-free data by generalised SEIR modelling of COVID-19 pandemic
por: Jorge M. Mendes, et al.
Publicado: (2021) -
A report on COVID-19 epidemic in Pakistan using SEIR fractional model
por: Zubair Ahmad, et al.
Publicado: (2020) -
Extensions of the SEIR model for the analysis of tailored social distancing and tracing approaches to cope with COVID-19
por: Veronika Grimm, et al.
Publicado: (2021) -
Social heterogeneity and the COVID-19 lockdown in a multi-group SEIR model
por: Dolbeault Jean, et al.
Publicado: (2021) -
SEIR Mathematical Model of Convalescent Plasma Transfusion to Reduce COVID-19 Disease Transmission
por: Hennie Husniah, et al.
Publicado: (2021)