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...
Saved in:
Main Authors: | N. N. Chung, L. Y. Chew |
---|---|
Format: | article |
Language: | EN |
Published: |
Nature Portfolio
2021
|
Subjects: | |
Online Access: | https://doaj.org/article/f0934c06a54f4e0a8ad11f2b523628bd |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Addressing hospitalisations with non-error-free data by generalised SEIR modelling of COVID-19 pandemic
by: Jorge M. Mendes, et al.
Published: (2021) -
A report on COVID-19 epidemic in Pakistan using SEIR fractional model
by: Zubair Ahmad, et al.
Published: (2020) -
Extensions of the SEIR model for the analysis of tailored social distancing and tracing approaches to cope with COVID-19
by: Veronika Grimm, et al.
Published: (2021) -
Social heterogeneity and the COVID-19 lockdown in a multi-group SEIR model
by: Dolbeault Jean, et al.
Published: (2021) -
SEIR Mathematical Model of Convalescent Plasma Transfusion to Reduce COVID-19 Disease Transmission
by: Hennie Husniah, et al.
Published: (2021)