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Impact of Travel Between Patches for Spatial Spread of Disease
A multipatch model is proposed to study the impact of travel on the spatial spread of disease between patches with different level of disease prevalence. The basic reproduction number for the ith patch in isolation is obtained along with the basic reproduction number of the system of patches, ℜ(0)....
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer-Verlag
2007
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7088731/ https://www.ncbi.nlm.nih.gov/pubmed/17318677 http://dx.doi.org/10.1007/s11538-006-9169-6 |
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author | Hsieh, Ying-Hen van den Driessche, P. Wang, Lin |
author_facet | Hsieh, Ying-Hen van den Driessche, P. Wang, Lin |
author_sort | Hsieh, Ying-Hen |
collection | PubMed |
description | A multipatch model is proposed to study the impact of travel on the spatial spread of disease between patches with different level of disease prevalence. The basic reproduction number for the ith patch in isolation is obtained along with the basic reproduction number of the system of patches, ℜ(0). Inequalities describing the relationship between these numbers are also given. For a two-patch model with one high prevalence patch and one low prevalence patch, results pertaining to the dependence of ℜ(0) on the travel rates between the two patches are obtained. For parameter values relevant for influenza, these results show that, while banning travel of infectives from the low to the high prevalence patch always contributes to disease control, banning travel of symptomatic travelers only from the high to the low prevalence patch could adversely affect the containment of the outbreak under certain ranges of parameter values. Moreover, banning all travel of infected individuals from the high to the low prevalence patch could result in the low prevalence patch becoming diseasefree, while the high prevalence patch becomes even more disease-prevalent, with the resulting number of infectives in this patch alone exceeding the combined number of infectives in both patches without border control. Under the set of parameter values used, our results demonstrate that if border control is properly implemented, then it could contribute to stopping the spatial spread of disease between patches. |
format | Online Article Text |
id | pubmed-7088731 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2007 |
publisher | Springer-Verlag |
record_format | MEDLINE/PubMed |
spelling | pubmed-70887312020-03-23 Impact of Travel Between Patches for Spatial Spread of Disease Hsieh, Ying-Hen van den Driessche, P. Wang, Lin Bull Math Biol Original Article A multipatch model is proposed to study the impact of travel on the spatial spread of disease between patches with different level of disease prevalence. The basic reproduction number for the ith patch in isolation is obtained along with the basic reproduction number of the system of patches, ℜ(0). Inequalities describing the relationship between these numbers are also given. For a two-patch model with one high prevalence patch and one low prevalence patch, results pertaining to the dependence of ℜ(0) on the travel rates between the two patches are obtained. For parameter values relevant for influenza, these results show that, while banning travel of infectives from the low to the high prevalence patch always contributes to disease control, banning travel of symptomatic travelers only from the high to the low prevalence patch could adversely affect the containment of the outbreak under certain ranges of parameter values. Moreover, banning all travel of infected individuals from the high to the low prevalence patch could result in the low prevalence patch becoming diseasefree, while the high prevalence patch becomes even more disease-prevalent, with the resulting number of infectives in this patch alone exceeding the combined number of infectives in both patches without border control. Under the set of parameter values used, our results demonstrate that if border control is properly implemented, then it could contribute to stopping the spatial spread of disease between patches. Springer-Verlag 2007-02-21 2007 /pmc/articles/PMC7088731/ /pubmed/17318677 http://dx.doi.org/10.1007/s11538-006-9169-6 Text en © Springer Science+Business Media, Inc. 2007 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 Article Hsieh, Ying-Hen van den Driessche, P. Wang, Lin Impact of Travel Between Patches for Spatial Spread of Disease |
title | Impact of Travel Between Patches for Spatial Spread of Disease |
title_full | Impact of Travel Between Patches for Spatial Spread of Disease |
title_fullStr | Impact of Travel Between Patches for Spatial Spread of Disease |
title_full_unstemmed | Impact of Travel Between Patches for Spatial Spread of Disease |
title_short | Impact of Travel Between Patches for Spatial Spread of Disease |
title_sort | impact of travel between patches for spatial spread of disease |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7088731/ https://www.ncbi.nlm.nih.gov/pubmed/17318677 http://dx.doi.org/10.1007/s11538-006-9169-6 |
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