Menu
×
Main Library
9 a.m. - 6 p.m.
Phone: (843) 805-6930
West Ashley Library
9 a.m. - 4 p.m.
Phone: (843) 766-6635
Folly Beach Library
Closed for renovations
Phone: (843) 588-2001
John L. Dart Library
9 a.m. - 6 p.m.
Phone: (843) 722-7550
St. Paul's/Hollywood Library
9 a.m. - 5 p.m.
Phone: (843) 889-3300
Mt. Pleasant Library
9 a.m. – 6 p.m.
Phone: (843) 849-6161
Dorchester Road Library
9 a.m. - 6 p.m.
Phone: (843) 552-6466
Edgar Allan Poe/Sullivan's Island Library
9 a.m. - 6 p.m.
Phone: (843) 883-3914
John's Island Library
9 a.m. - 6 p.m.
Phone: (843) 559-1945
McClellanville Library
Closed for renovations
Phone: (843) 887-3699
Edisto Library
9 a.m. - 3 p.m.
Phone: (843) 869-2355
Wando Mount Pleasant Library
9 a.m. - 6 p.m.
Phone: (843) 805-6888
Otranto Road Library
9 a.m. - 6 p.m.
Phone: (843) 572-4094
Hurd/St. Andrews Library
9 a.m. - 6 p.m.
Phone: (843) 766-2546
Baxter-Patrick James Island
9 a.m. - 6 p.m.
Phone: (843) 795-6679
Bees Ferry West Ashley Library
9 a.m. - 6 p.m.
Phone: (843) 805-6892
Village Library
9 a.m. - 6 p.m.
Phone: (843) 884-9741
Keith Summey North Charleston Library
9 a.m. – 6 p.m.
Phone: (843) 744-2489
Mobile Library
9 a.m. - 5 p.m.
Phone: (843) 805-6909
Today's Hours
Main Library
9 a.m. - 6 p.m.
Phone: (843) 805-6930
West Ashley Library
9 a.m. - 4 p.m.
Phone: (843) 766-6635
Folly Beach Library
Closed for renovations
Phone: (843) 588-2001
John L. Dart Library
9 a.m. - 6 p.m.
Phone: (843) 722-7550
St. Paul's/Hollywood Library
9 a.m. - 5 p.m.
Phone: (843) 889-3300
Mt. Pleasant Library
9 a.m. – 6 p.m.
Phone: (843) 849-6161
Dorchester Road Library
9 a.m. - 6 p.m.
Phone: (843) 552-6466
Edgar Allan Poe/Sullivan's Island Library
9 a.m. - 6 p.m.
Phone: (843) 883-3914
John's Island Library
9 a.m. - 6 p.m.
Phone: (843) 559-1945
McClellanville Library
Closed for renovations
Phone: (843) 887-3699
Edisto Library
9 a.m. - 3 p.m.
Phone: (843) 869-2355
Wando Mount Pleasant Library
9 a.m. - 6 p.m.
Phone: (843) 805-6888
Otranto Road Library
9 a.m. - 6 p.m.
Phone: (843) 572-4094
Hurd/St. Andrews Library
9 a.m. - 6 p.m.
Phone: (843) 766-2546
Baxter-Patrick James Island
9 a.m. - 6 p.m.
Phone: (843) 795-6679
Bees Ferry West Ashley Library
9 a.m. - 6 p.m.
Phone: (843) 805-6892
Village Library
9 a.m. - 6 p.m.
Phone: (843) 884-9741
Keith Summey North Charleston Library
9 a.m. – 6 p.m.
Phone: (843) 744-2489
Mobile Library
9 a.m. - 5 p.m.
Phone: (843) 805-6909
Patron Login
menu
Item request has been placed!
×
Item request cannot be made.
×
Processing Request
Homogenous mixing and network approximations in discrete-time formulation of a SIRS model.
Item request has been placed!
×
Item request cannot be made.
×
Processing Request
- Author(s): Renna, Ilaria
- Source:
Journal of Biological Dynamics; Dec2021, Vol. 15 Issue 1, p635-651, 17p- Subject Terms:
- Source:
- Additional Information
- Subject Terms:
- Abstract: A discrete-time deterministic epidemic model is proposed to better understand the contagious dynamics and the behaviour observed in the incidence of real infectious diseases. For this purpose, we analyse a SIRS model both in a random-mixing approach and in a small-world network formulation. The models include the basic parameters that characterize an epidemic: infection and recovery times, as well as mechanisms of contagion. Depending on the parameters, the random-mixing model has different types of behaviour of an epidemic: pathogen extinction; endemic infection; sustained oscillations and dynamic extinction. Spatial effects are included in our network-based approach, where each individual of a population is represented by a node of a small-world network. Our network-based approach includes rewiring connections to account for time-varying network structure, a consequence of the natural response to the emergence of an epidemic (e.g. avoiding contacts with infected individuals). Random and adaptive rewiring conditions are analysed and numerical simulation are made. A comparison of model predictions with the actual effects of COVID-19 infection on population that occurred in Italy and France is produced. Results of the time series of infected people show that our adaptive evolving networks represent effective strategies able to decrease the epidemic spreading. [ABSTRACT FROM AUTHOR]
- Abstract: Copyright of Journal of Biological Dynamics is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Contact CCPL
Copyright 2022 Charleston County Public Library Powered By EBSCO Stacks 3.3.0 [350.3] | Staff Login
No Comments.