SIR model with local and global infective contacts: A deterministic approach and applications
- Autores
- Maltz, Alberto Leonardo; Fabricius, Gabriel
- Año de publicación
- 2016
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- An epidemic model with births and deaths is considered on a two-dimensional L × L lattice. Each individual can have global infective contacts according to the standard susceptible–infected–recovered (SIR) model rules or local infective contacts with their nearest neighbors. We propose a deterministic approach to this model and, for the parameters corresponding to pertussis and rubella in the prevaccine era, verify that there is a close agreement with the stochastic simulations when epidemic spread or endemic stationarity is considered. We also find that our approach captures the characteristic features of the dynamic behavior of the system after a sudden decrease in global contacts that may arise as a consequence of health care measures. By using the deterministic approach, we are able to characterize the exponential growth of the epidemic behavior and analyze the stability of the system at the stationary values. Since the deterministic approximation captures the essential features of the disease transmission dynamics of the stochastic model, it provides a useful tool for performing systematic studies as a function of the model parameters. We give an example of this potentiality by analyzing the likelihood of the endemic state to become extinct when the weight of the global contacts is drastically reduced.
Facultad de Ciencias Exactas
Instituto de Investigaciones Fisicoquímicas Teóricas y Aplicadas - Materia
-
Ciencias Exactas
Epidemics
SIR
Lattice
Deterministic model
Pair approximation
Pertussis - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by-nc-sa/4.0/
- Repositorio
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/131376
Ver los metadatos del registro completo
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SIR model with local and global infective contacts: A deterministic approach and applicationsMaltz, Alberto LeonardoFabricius, GabrielCiencias ExactasEpidemicsSIRLatticeDeterministic modelPair approximationPertussisAn epidemic model with births and deaths is considered on a two-dimensional L × L lattice. Each individual can have global infective contacts according to the standard susceptible–infected–recovered (SIR) model rules or local infective contacts with their nearest neighbors. We propose a deterministic approach to this model and, for the parameters corresponding to pertussis and rubella in the prevaccine era, verify that there is a close agreement with the stochastic simulations when epidemic spread or endemic stationarity is considered. We also find that our approach captures the characteristic features of the dynamic behavior of the system after a sudden decrease in global contacts that may arise as a consequence of health care measures. By using the deterministic approach, we are able to characterize the exponential growth of the epidemic behavior and analyze the stability of the system at the stationary values. Since the deterministic approximation captures the essential features of the disease transmission dynamics of the stochastic model, it provides a useful tool for performing systematic studies as a function of the model parameters. We give an example of this potentiality by analyzing the likelihood of the endemic state to become extinct when the weight of the global contacts is drastically reduced.Facultad de Ciencias ExactasInstituto de Investigaciones Fisicoquímicas Teóricas y Aplicadas2016-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdf70-79http://sedici.unlp.edu.ar/handle/10915/131376enginfo:eu-repo/semantics/altIdentifier/issn/1096-0325info:eu-repo/semantics/altIdentifier/issn/0040-5809info:eu-repo/semantics/altIdentifier/pmid/27591977info:eu-repo/semantics/altIdentifier/doi/10.1016/j.tpb.2016.08.003info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-03T11:03:19Zoai:sedici.unlp.edu.ar:10915/131376Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-03 11:03:19.22SEDICI (UNLP) - Universidad Nacional de La Platafalse |
dc.title.none.fl_str_mv |
SIR model with local and global infective contacts: A deterministic approach and applications |
title |
SIR model with local and global infective contacts: A deterministic approach and applications |
spellingShingle |
SIR model with local and global infective contacts: A deterministic approach and applications Maltz, Alberto Leonardo Ciencias Exactas Epidemics SIR Lattice Deterministic model Pair approximation Pertussis |
title_short |
SIR model with local and global infective contacts: A deterministic approach and applications |
title_full |
SIR model with local and global infective contacts: A deterministic approach and applications |
title_fullStr |
SIR model with local and global infective contacts: A deterministic approach and applications |
title_full_unstemmed |
SIR model with local and global infective contacts: A deterministic approach and applications |
title_sort |
SIR model with local and global infective contacts: A deterministic approach and applications |
dc.creator.none.fl_str_mv |
Maltz, Alberto Leonardo Fabricius, Gabriel |
author |
Maltz, Alberto Leonardo |
author_facet |
Maltz, Alberto Leonardo Fabricius, Gabriel |
author_role |
author |
author2 |
Fabricius, Gabriel |
author2_role |
author |
dc.subject.none.fl_str_mv |
Ciencias Exactas Epidemics SIR Lattice Deterministic model Pair approximation Pertussis |
topic |
Ciencias Exactas Epidemics SIR Lattice Deterministic model Pair approximation Pertussis |
dc.description.none.fl_txt_mv |
An epidemic model with births and deaths is considered on a two-dimensional L × L lattice. Each individual can have global infective contacts according to the standard susceptible–infected–recovered (SIR) model rules or local infective contacts with their nearest neighbors. We propose a deterministic approach to this model and, for the parameters corresponding to pertussis and rubella in the prevaccine era, verify that there is a close agreement with the stochastic simulations when epidemic spread or endemic stationarity is considered. We also find that our approach captures the characteristic features of the dynamic behavior of the system after a sudden decrease in global contacts that may arise as a consequence of health care measures. By using the deterministic approach, we are able to characterize the exponential growth of the epidemic behavior and analyze the stability of the system at the stationary values. Since the deterministic approximation captures the essential features of the disease transmission dynamics of the stochastic model, it provides a useful tool for performing systematic studies as a function of the model parameters. We give an example of this potentiality by analyzing the likelihood of the endemic state to become extinct when the weight of the global contacts is drastically reduced. Facultad de Ciencias Exactas Instituto de Investigaciones Fisicoquímicas Teóricas y Aplicadas |
description |
An epidemic model with births and deaths is considered on a two-dimensional L × L lattice. Each individual can have global infective contacts according to the standard susceptible–infected–recovered (SIR) model rules or local infective contacts with their nearest neighbors. We propose a deterministic approach to this model and, for the parameters corresponding to pertussis and rubella in the prevaccine era, verify that there is a close agreement with the stochastic simulations when epidemic spread or endemic stationarity is considered. We also find that our approach captures the characteristic features of the dynamic behavior of the system after a sudden decrease in global contacts that may arise as a consequence of health care measures. By using the deterministic approach, we are able to characterize the exponential growth of the epidemic behavior and analyze the stability of the system at the stationary values. Since the deterministic approximation captures the essential features of the disease transmission dynamics of the stochastic model, it provides a useful tool for performing systematic studies as a function of the model parameters. We give an example of this potentiality by analyzing the likelihood of the endemic state to become extinct when the weight of the global contacts is drastically reduced. |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016-12 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Articulo http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://sedici.unlp.edu.ar/handle/10915/131376 |
url |
http://sedici.unlp.edu.ar/handle/10915/131376 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/issn/1096-0325 info:eu-repo/semantics/altIdentifier/issn/0040-5809 info:eu-repo/semantics/altIdentifier/pmid/27591977 info:eu-repo/semantics/altIdentifier/doi/10.1016/j.tpb.2016.08.003 |
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info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) |
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openAccess |
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http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) |
dc.format.none.fl_str_mv |
application/pdf 70-79 |
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SEDICI (UNLP) - Universidad Nacional de La Plata |
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