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Pattern Formation in Epidemic Model with Media Coverage

In this article, a spatial epidemic model with media coverage is studied. By both mathematical analysis and numerical simulation, we found that there are some typical dynamics of population density such as the formation of the hole, stripe, spot, coexistence of hole and stripe or spot and stripe. Th...

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Detalles Bibliográficos
Autores principales: Sarker, Ronobir Chandra, Sahani, Saroj Kumar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer India 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8857639/
https://www.ncbi.nlm.nih.gov/pubmed/35221568
http://dx.doi.org/10.1007/s12591-022-00595-x
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author Sarker, Ronobir Chandra
Sahani, Saroj Kumar
author_facet Sarker, Ronobir Chandra
Sahani, Saroj Kumar
author_sort Sarker, Ronobir Chandra
collection PubMed
description In this article, a spatial epidemic model with media coverage is studied. By both mathematical analysis and numerical simulation, we found that there are some typical dynamics of population density such as the formation of the hole, stripe, spot, coexistence of hole and stripe or spot and stripe. The obtained results exhibit that parameters describing media coverage have a significant influence on the spatial pattern of the disease. More specifically, the sequential change in behaviour of the spatial pattern is observed as the parameter that accounts for media coverage increases. These changes analogous to the effect due to the rise in the basic reproduction number. The results presented in this article thus can be applied to any particular disease with some modification to study the effects of media coverage on disease dynamics. The model is although simple but the idea can be well extended to other complex problems.
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spelling pubmed-88576392022-02-22 Pattern Formation in Epidemic Model with Media Coverage Sarker, Ronobir Chandra Sahani, Saroj Kumar Differ Equ Dyn Syst Original Research In this article, a spatial epidemic model with media coverage is studied. By both mathematical analysis and numerical simulation, we found that there are some typical dynamics of population density such as the formation of the hole, stripe, spot, coexistence of hole and stripe or spot and stripe. The obtained results exhibit that parameters describing media coverage have a significant influence on the spatial pattern of the disease. More specifically, the sequential change in behaviour of the spatial pattern is observed as the parameter that accounts for media coverage increases. These changes analogous to the effect due to the rise in the basic reproduction number. The results presented in this article thus can be applied to any particular disease with some modification to study the effects of media coverage on disease dynamics. The model is although simple but the idea can be well extended to other complex problems. Springer India 2022-02-19 /pmc/articles/PMC8857639/ /pubmed/35221568 http://dx.doi.org/10.1007/s12591-022-00595-x Text en © Foundation for Scientific Research and Technological Innovation 2022 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 Research
Sarker, Ronobir Chandra
Sahani, Saroj Kumar
Pattern Formation in Epidemic Model with Media Coverage
title Pattern Formation in Epidemic Model with Media Coverage
title_full Pattern Formation in Epidemic Model with Media Coverage
title_fullStr Pattern Formation in Epidemic Model with Media Coverage
title_full_unstemmed Pattern Formation in Epidemic Model with Media Coverage
title_short Pattern Formation in Epidemic Model with Media Coverage
title_sort pattern formation in epidemic model with media coverage
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8857639/
https://www.ncbi.nlm.nih.gov/pubmed/35221568
http://dx.doi.org/10.1007/s12591-022-00595-x
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