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Pattern dynamics of an epidemic model with nonlinear incidence rate
All species live in space, and the research of spatial diseases can be used to control infectious diseases. As a result, it is more realistic to study the spatial pattern of epidemic models with space and time. In this paper, spatial dynamics of an epidemic model with nonlinear incidence rate is inv...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Netherlands
2014
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7089073/ https://www.ncbi.nlm.nih.gov/pubmed/32214668 http://dx.doi.org/10.1007/s11071-014-1270-z |
| _version_ | 1783509655996071936 |
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| author | Wang, Tao |
| author_facet | Wang, Tao |
| author_sort | Wang, Tao |
| collection | PubMed |
| description | All species live in space, and the research of spatial diseases can be used to control infectious diseases. As a result, it is more realistic to study the spatial pattern of epidemic models with space and time. In this paper, spatial dynamics of an epidemic model with nonlinear incidence rate is investigated. We find that there are different types of stationary patterns by amplitude equations and numerical simulations. The obtained results may well explain the distribution of disease observed in the real world and provide some insights on disease control. |
| format | Online Article Text |
| id | pubmed-7089073 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2014 |
| publisher | Springer Netherlands |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-70890732020-03-23 Pattern dynamics of an epidemic model with nonlinear incidence rate Wang, Tao Nonlinear Dyn Original Paper All species live in space, and the research of spatial diseases can be used to control infectious diseases. As a result, it is more realistic to study the spatial pattern of epidemic models with space and time. In this paper, spatial dynamics of an epidemic model with nonlinear incidence rate is investigated. We find that there are different types of stationary patterns by amplitude equations and numerical simulations. The obtained results may well explain the distribution of disease observed in the real world and provide some insights on disease control. Springer Netherlands 2014-02-09 2014 /pmc/articles/PMC7089073/ /pubmed/32214668 http://dx.doi.org/10.1007/s11071-014-1270-z Text en © Springer Science+Business Media Dordrecht 2014 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 | Original Paper Wang, Tao Pattern dynamics of an epidemic model with nonlinear incidence rate |
| title | Pattern dynamics of an epidemic model with nonlinear incidence rate |
| title_full | Pattern dynamics of an epidemic model with nonlinear incidence rate |
| title_fullStr | Pattern dynamics of an epidemic model with nonlinear incidence rate |
| title_full_unstemmed | Pattern dynamics of an epidemic model with nonlinear incidence rate |
| title_short | Pattern dynamics of an epidemic model with nonlinear incidence rate |
| title_sort | pattern dynamics of an epidemic model with nonlinear incidence rate |
| topic | Original Paper |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7089073/ https://www.ncbi.nlm.nih.gov/pubmed/32214668 http://dx.doi.org/10.1007/s11071-014-1270-z |
| work_keys_str_mv | AT wangtao patterndynamicsofanepidemicmodelwithnonlinearincidencerate |