Patches Approach to Investigate the Populational Dynamics in Dengue

Detalhes bibliográficos
Autor(a) principal: SANTOS,F.L.P.
Data de Publicação: 2017
Tipo de documento: Artigo
Idioma: eng
Título da fonte: TEMA (Sociedade Brasileira de Matemática Aplicada e Computacional. Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-84512017000100003
Resumo: ABSTRACT In areas where resources are located in patches or discrete locations, human dispersal is more conveniently modeled, in which the population is divided into discrete patches. In this work we develop a general discrete model to analyze the spread of Dengue disease. In the process of mathematical modeling we take into account the human populations and the circulation of a single serotype of dengue mosquitoes. The movements of susceptible, infected and recovered humans among all patches are considered. Aquatic phases with different carrying capacities are considered within the patches. Also an arbitrary number of patches can be used to simulate the spread of dengue disease. In this paper we performed numericalexperiments to show the applicability of this methodology to investigate the dengue disease problem. The general discrete space model was developed for solving epidemiological problems whereas the human-vector interactions and human mobilities play an important role. Based on our numerical results, we may recommend the general patches model for solving epidemiological problems in Population Dynamics.
id SBMAC-1_f6c310ff62aa8eb8e3e1509d497e74d3
oai_identifier_str oai:scielo:S2179-84512017000100003
network_acronym_str SBMAC-1
network_name_str TEMA (Sociedade Brasileira de Matemática Aplicada e Computacional. Online)
repository_id_str
spelling Patches Approach to Investigate the Populational Dynamics in Denguehuman dispersaldiscrete space modelpathway approachsystem of ODEsEuler methodpopulation dynamicsABSTRACT In areas where resources are located in patches or discrete locations, human dispersal is more conveniently modeled, in which the population is divided into discrete patches. In this work we develop a general discrete model to analyze the spread of Dengue disease. In the process of mathematical modeling we take into account the human populations and the circulation of a single serotype of dengue mosquitoes. The movements of susceptible, infected and recovered humans among all patches are considered. Aquatic phases with different carrying capacities are considered within the patches. Also an arbitrary number of patches can be used to simulate the spread of dengue disease. In this paper we performed numericalexperiments to show the applicability of this methodology to investigate the dengue disease problem. The general discrete space model was developed for solving epidemiological problems whereas the human-vector interactions and human mobilities play an important role. Based on our numerical results, we may recommend the general patches model for solving epidemiological problems in Population Dynamics.Sociedade Brasileira de Matemática Aplicada e Computacional2017-04-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-84512017000100003TEMA (São Carlos) v.18 n.1 2017reponame:TEMA (Sociedade Brasileira de Matemática Aplicada e Computacional. Online)instname:Sociedade Brasileira de Matemática Aplicada e Computacionalinstacron:SBMAC10.5540/tema.2017.018.01.0003info:eu-repo/semantics/openAccessSANTOS,F.L.P.eng2017-06-12T00:00:00Zoai:scielo:S2179-84512017000100003Revistahttp://www.scielo.br/temaPUBhttps://old.scielo.br/oai/scielo-oai.phpcastelo@icmc.usp.br2179-84511677-1966opendoar:2017-06-12T00:00TEMA (Sociedade Brasileira de Matemática Aplicada e Computacional. Online) - Sociedade Brasileira de Matemática Aplicada e Computacionalfalse
dc.title.none.fl_str_mv Patches Approach to Investigate the Populational Dynamics in Dengue
title Patches Approach to Investigate the Populational Dynamics in Dengue
spellingShingle Patches Approach to Investigate the Populational Dynamics in Dengue
SANTOS,F.L.P.
human dispersal
discrete space model
pathway approach
system of ODEs
Euler method
population dynamics
title_short Patches Approach to Investigate the Populational Dynamics in Dengue
title_full Patches Approach to Investigate the Populational Dynamics in Dengue
title_fullStr Patches Approach to Investigate the Populational Dynamics in Dengue
title_full_unstemmed Patches Approach to Investigate the Populational Dynamics in Dengue
title_sort Patches Approach to Investigate the Populational Dynamics in Dengue
author SANTOS,F.L.P.
author_facet SANTOS,F.L.P.
author_role author
dc.contributor.author.fl_str_mv SANTOS,F.L.P.
dc.subject.por.fl_str_mv human dispersal
discrete space model
pathway approach
system of ODEs
Euler method
population dynamics
topic human dispersal
discrete space model
pathway approach
system of ODEs
Euler method
population dynamics
description ABSTRACT In areas where resources are located in patches or discrete locations, human dispersal is more conveniently modeled, in which the population is divided into discrete patches. In this work we develop a general discrete model to analyze the spread of Dengue disease. In the process of mathematical modeling we take into account the human populations and the circulation of a single serotype of dengue mosquitoes. The movements of susceptible, infected and recovered humans among all patches are considered. Aquatic phases with different carrying capacities are considered within the patches. Also an arbitrary number of patches can be used to simulate the spread of dengue disease. In this paper we performed numericalexperiments to show the applicability of this methodology to investigate the dengue disease problem. The general discrete space model was developed for solving epidemiological problems whereas the human-vector interactions and human mobilities play an important role. Based on our numerical results, we may recommend the general patches model for solving epidemiological problems in Population Dynamics.
publishDate 2017
dc.date.none.fl_str_mv 2017-04-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-84512017000100003
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-84512017000100003
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.5540/tema.2017.018.01.0003
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Sociedade Brasileira de Matemática Aplicada e Computacional
publisher.none.fl_str_mv Sociedade Brasileira de Matemática Aplicada e Computacional
dc.source.none.fl_str_mv TEMA (São Carlos) v.18 n.1 2017
reponame:TEMA (Sociedade Brasileira de Matemática Aplicada e Computacional. Online)
instname:Sociedade Brasileira de Matemática Aplicada e Computacional
instacron:SBMAC
instname_str Sociedade Brasileira de Matemática Aplicada e Computacional
instacron_str SBMAC
institution SBMAC
reponame_str TEMA (Sociedade Brasileira de Matemática Aplicada e Computacional. Online)
collection TEMA (Sociedade Brasileira de Matemática Aplicada e Computacional. Online)
repository.name.fl_str_mv TEMA (Sociedade Brasileira de Matemática Aplicada e Computacional. Online) - Sociedade Brasileira de Matemática Aplicada e Computacional
repository.mail.fl_str_mv castelo@icmc.usp.br
_version_ 1752122220195348480