Cargando…
Control Strategies for a Multi-strain Epidemic Model
This article studies a multi-strain epidemic model with diffusion and environmental heterogeneity. We address the question of a control strategy for multiple strains of the infectious disease by investigating how the local distributions of the transmission and recovery rates affect the dynamics of t...
Autores principales: | , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8627176/ https://www.ncbi.nlm.nih.gov/pubmed/34837547 http://dx.doi.org/10.1007/s11538-021-00957-6 |
_version_ | 1784606803132153856 |
---|---|
author | Lou, Yuan Salako, Rachidi B. |
author_facet | Lou, Yuan Salako, Rachidi B. |
author_sort | Lou, Yuan |
collection | PubMed |
description | This article studies a multi-strain epidemic model with diffusion and environmental heterogeneity. We address the question of a control strategy for multiple strains of the infectious disease by investigating how the local distributions of the transmission and recovery rates affect the dynamics of the disease. Our study covers both full model (in which case the diffusion rates for all subgroups of the population are positive) and the ODE–PDE case (in which case we require a total lock-down of the susceptible subgroup and allow the infected subgroups to have positive diffusion rates). In each case, a basic reproduction number of the epidemic model is defined and it is shown that if this reproduction number is less than one then the disease will be eradicated in the long run. On the other hand, if the reproduction number is greater than one, then the disease will become permanent. Moreover, we show that when the disease is permanent, creating a common safety area against all strains and lowering the diffusion rate of the susceptible subgroup will result in reducing the number of infected populations. Numerical simulations are presented to support our theoretical findings. |
format | Online Article Text |
id | pubmed-8627176 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-86271762021-11-29 Control Strategies for a Multi-strain Epidemic Model Lou, Yuan Salako, Rachidi B. Bull Math Biol Special Issue: Mathematics and Covid-19 This article studies a multi-strain epidemic model with diffusion and environmental heterogeneity. We address the question of a control strategy for multiple strains of the infectious disease by investigating how the local distributions of the transmission and recovery rates affect the dynamics of the disease. Our study covers both full model (in which case the diffusion rates for all subgroups of the population are positive) and the ODE–PDE case (in which case we require a total lock-down of the susceptible subgroup and allow the infected subgroups to have positive diffusion rates). In each case, a basic reproduction number of the epidemic model is defined and it is shown that if this reproduction number is less than one then the disease will be eradicated in the long run. On the other hand, if the reproduction number is greater than one, then the disease will become permanent. Moreover, we show that when the disease is permanent, creating a common safety area against all strains and lowering the diffusion rate of the susceptible subgroup will result in reducing the number of infected populations. Numerical simulations are presented to support our theoretical findings. Springer US 2021-11-27 2022 /pmc/articles/PMC8627176/ /pubmed/34837547 http://dx.doi.org/10.1007/s11538-021-00957-6 Text en © The Author(s), under exclusive licence to Society for Mathematical Biology 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Special Issue: Mathematics and Covid-19 Lou, Yuan Salako, Rachidi B. Control Strategies for a Multi-strain Epidemic Model |
title | Control Strategies for a Multi-strain Epidemic Model |
title_full | Control Strategies for a Multi-strain Epidemic Model |
title_fullStr | Control Strategies for a Multi-strain Epidemic Model |
title_full_unstemmed | Control Strategies for a Multi-strain Epidemic Model |
title_short | Control Strategies for a Multi-strain Epidemic Model |
title_sort | control strategies for a multi-strain epidemic model |
topic | Special Issue: Mathematics and Covid-19 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8627176/ https://www.ncbi.nlm.nih.gov/pubmed/34837547 http://dx.doi.org/10.1007/s11538-021-00957-6 |
work_keys_str_mv | AT louyuan controlstrategiesforamultistrainepidemicmodel AT salakorachidib controlstrategiesforamultistrainepidemicmodel |