Estudo da dinâmica de epidemias em redes aleatórias

Detalhes bibliográficos
Autor(a) principal: LÓPEZ, Alexandra Johanna Esteban
Data de Publicação: 2009
Tipo de documento: Dissertação
Idioma: por
Título da fonte: Biblioteca Digital de Teses e Dissertações da UFRPE
Texto Completo: http://www.tede2.ufrpe.br:8080/tede2/handle/tede2/4466
Resumo: We present a deterministic model SEIR (susceptible, exposed, infected, recovered) to the dynamics of epidemics of influenza, we calculate its equilibrium points and the basic reproductive number (R0). The results of simulations of the dynamics of contagion are shown, in a population subdivided in demes using three types of complex networks which have the character of “small world” (relatively short distances between the nodes of the network and high degree of coupling) and “scale free” (presence of nodes with high connectivity) and compare with the dynamics of contagion observed in the regular network. We observed that the disease spread faster in scale-free network compared to other two, in the small world network as the probability of reconnection is incremented the speed of spreading of the disease is also increased and on the regular network the disease spread more slowly. For the three types of network, there were experiments with different percentages of vaccinated individuals, using two techniques for selecting the sample of individuals, random selection of individuals and conglomerates. The results show that if the rate at which an individual recovered becomes exposed (s ) is 0.4 and with a 60% of vaccinees at random we get a persistence of the disease almost zero, while as with vaccination of individuals by conglomerates that persistence is close to 80%. When we have s = 1, the random vaccination of individuals also results more effective because with 80% of vaccinated individualsthe persistent is almost zero, while for clusters with vaccination even with 99% of vaccinees the disease still persists. Here, we can conclude that vaccination of individuals in a random way result be more effective than the vaccination done in groups.
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spelling OLIVEIRA, Viviane Moraes deCAMPOS, Paulo Roberto de AraújoSTOSIC, BorkoROSAS, Alexandre da Silvahttp://lattes.cnpq.br/0890502626588368LÓPEZ, Alexandra Johanna Esteban2016-05-19T15:51:56Z2009-04-13LÓPEZ, Alexandra Johanna Esteban. Estudo da dinâmica de epidemias em redes aleatórias. 2009. 82 f. Dissertação (Programa de Pós-Graduação em Biometria e Estatística Aplicada) - Universidade Federal Rural de Pernambuco, Recife.http://www.tede2.ufrpe.br:8080/tede2/handle/tede2/4466We present a deterministic model SEIR (susceptible, exposed, infected, recovered) to the dynamics of epidemics of influenza, we calculate its equilibrium points and the basic reproductive number (R0). The results of simulations of the dynamics of contagion are shown, in a population subdivided in demes using three types of complex networks which have the character of “small world” (relatively short distances between the nodes of the network and high degree of coupling) and “scale free” (presence of nodes with high connectivity) and compare with the dynamics of contagion observed in the regular network. We observed that the disease spread faster in scale-free network compared to other two, in the small world network as the probability of reconnection is incremented the speed of spreading of the disease is also increased and on the regular network the disease spread more slowly. For the three types of network, there were experiments with different percentages of vaccinated individuals, using two techniques for selecting the sample of individuals, random selection of individuals and conglomerates. The results show that if the rate at which an individual recovered becomes exposed (s ) is 0.4 and with a 60% of vaccinees at random we get a persistence of the disease almost zero, while as with vaccination of individuals by conglomerates that persistence is close to 80%. When we have s = 1, the random vaccination of individuals also results more effective because with 80% of vaccinated individualsthe persistent is almost zero, while for clusters with vaccination even with 99% of vaccinees the disease still persists. Here, we can conclude that vaccination of individuals in a random way result be more effective than the vaccination done in groups.Neste trabalho, apresentamos um modelo determinístico SEIR (Suscetível, Exposto, Infectado, Recuperado) para a dinâmica de epidemias da influenza, calculamos seus pontos de equilíbrio e o número reprodutivo básico (R0) . São mostrados os resultados das simulações da dinâmica de contágio, em uma população subdividida em demes usando três tipos de redes de migração que apresentam a característica de “mundo pequeno” (distâncias relativamente curtas entre os nós da rede e alto grau de acoplamento) e “livre de escala” (presença de nós com alta conectividade) e comparam-se com as dinâmicas de contágio observadas na rede regular. Observamos que a doença espalha-se mais rapidamente na rede livre de escala do que as outras duas, na rede mundo pequeno à medida em que aumentamos a probabilidade de reconexão aumenta a rapidez de espalhamento da doença e na rede regular a doença se dispersa mais lentamente. Para os três tipos de rede, realizaram-se experimentos com diferentes percentagens de indivíduos vacinados, usando duas técnicas de seleção da amostra dos indivíduos, seleçãoaleatória de indivíduos e conglomerados. Os resultados mostram que se a taxa com que um indivíduo recuperado se torna exposto (s ) é 0.4 e tendo 60%de indivíduos vacinados de forma aleatória obtemos uma persistência da doença quase nula, enquanto com vacinação de indivíduos por conglomerados esta persistência é próxima do 80%. Quando se tem s =1, temos que a vacinação aleatória de indivíduos também resulta mais efetiva pois com 80% de indivíduos vacinados temos uma persistência quase nula, enquanto com vacinação por conglomerados mesmo com 99% dos indivíduos vacinados ainda a doença persiste. Aqui, podemos concluir que a vacinação de indivíduos em forma aleatória resulta ser mais efetiva que a vacinação feita a grupos da população.Submitted by (ana.araujo@ufrpe.br) on 2016-05-19T15:51:56Z No. of bitstreams: 1 Alexandra Johanna Esteban Lopez.pdf: 1225968 bytes, checksum: d9712a4bd744b00103089726c2b15dd5 (MD5)Made available in DSpace on 2016-05-19T15:51:56Z (GMT). No. of bitstreams: 1 Alexandra Johanna Esteban Lopez.pdf: 1225968 bytes, checksum: d9712a4bd744b00103089726c2b15dd5 (MD5) Previous issue date: 2009-04-13Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPESapplication/pdfporUniversidade Federal Rural de PernambucoPrograma de Pós-Graduação em Biometria e Estatística AplicadaUFRPEBrasilDepartamento de Estatística e InformáticaModelo epidemiológicoInfluenzaModelo determinísticoDinâmica de epidemiaCIENCIAS EXATAS E DA TERRA::PROBABILIDADE E ESTATISTICAEstudo da dinâmica de epidemias em redes aleatóriasinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesis768382242446187918600600600600-6774555140396120501-58364078281851435173590462550136975366info:eu-repo/semantics/openAccessreponame:Biblioteca Digital de Teses e Dissertações da UFRPEinstname:Universidade Federal Rural de Pernambuco (UFRPE)instacron:UFRPELICENSElicense.txtlicense.txttext/plain; charset=utf-82089http://www.tede2.ufrpe.br:8080/tede2/bitstream/tede2/4466/1/license.txt7b5ba3d2445355f386edab96125d42b7MD51ORIGINALAlexandra Johanna Esteban Lopez.pdfAlexandra Johanna Esteban Lopez.pdfapplication/pdf1225968http://www.tede2.ufrpe.br:8080/tede2/bitstream/tede2/4466/2/Alexandra+Johanna+Esteban+Lopez.pdfd9712a4bd744b00103089726c2b15dd5MD52tede2/44662018-05-14 10:17:32.137oai:tede2: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Biblioteca Digital de Teses e Dissertaçõeshttp://www.tede2.ufrpe.br:8080/tede/PUBhttp://www.tede2.ufrpe.br:8080/oai/requestbdtd@ufrpe.br ||bdtd@ufrpe.bropendoar:2018-05-14T13:17:32Biblioteca Digital de Teses e Dissertações da UFRPE - Universidade Federal Rural de Pernambuco (UFRPE)false
dc.title.por.fl_str_mv Estudo da dinâmica de epidemias em redes aleatórias
title Estudo da dinâmica de epidemias em redes aleatórias
spellingShingle Estudo da dinâmica de epidemias em redes aleatórias
LÓPEZ, Alexandra Johanna Esteban
Modelo epidemiológico
Influenza
Modelo determinístico
Dinâmica de epidemia
CIENCIAS EXATAS E DA TERRA::PROBABILIDADE E ESTATISTICA
title_short Estudo da dinâmica de epidemias em redes aleatórias
title_full Estudo da dinâmica de epidemias em redes aleatórias
title_fullStr Estudo da dinâmica de epidemias em redes aleatórias
title_full_unstemmed Estudo da dinâmica de epidemias em redes aleatórias
title_sort Estudo da dinâmica de epidemias em redes aleatórias
author LÓPEZ, Alexandra Johanna Esteban
author_facet LÓPEZ, Alexandra Johanna Esteban
author_role author
dc.contributor.advisor1.fl_str_mv OLIVEIRA, Viviane Moraes de
dc.contributor.advisor-co1.fl_str_mv CAMPOS, Paulo Roberto de Araújo
dc.contributor.referee1.fl_str_mv STOSIC, Borko
dc.contributor.referee2.fl_str_mv ROSAS, Alexandre da Silva
dc.contributor.authorLattes.fl_str_mv http://lattes.cnpq.br/0890502626588368
dc.contributor.author.fl_str_mv LÓPEZ, Alexandra Johanna Esteban
contributor_str_mv OLIVEIRA, Viviane Moraes de
CAMPOS, Paulo Roberto de Araújo
STOSIC, Borko
ROSAS, Alexandre da Silva
dc.subject.por.fl_str_mv Modelo epidemiológico
Influenza
Modelo determinístico
Dinâmica de epidemia
topic Modelo epidemiológico
Influenza
Modelo determinístico
Dinâmica de epidemia
CIENCIAS EXATAS E DA TERRA::PROBABILIDADE E ESTATISTICA
dc.subject.cnpq.fl_str_mv CIENCIAS EXATAS E DA TERRA::PROBABILIDADE E ESTATISTICA
description We present a deterministic model SEIR (susceptible, exposed, infected, recovered) to the dynamics of epidemics of influenza, we calculate its equilibrium points and the basic reproductive number (R0). The results of simulations of the dynamics of contagion are shown, in a population subdivided in demes using three types of complex networks which have the character of “small world” (relatively short distances between the nodes of the network and high degree of coupling) and “scale free” (presence of nodes with high connectivity) and compare with the dynamics of contagion observed in the regular network. We observed that the disease spread faster in scale-free network compared to other two, in the small world network as the probability of reconnection is incremented the speed of spreading of the disease is also increased and on the regular network the disease spread more slowly. For the three types of network, there were experiments with different percentages of vaccinated individuals, using two techniques for selecting the sample of individuals, random selection of individuals and conglomerates. The results show that if the rate at which an individual recovered becomes exposed (s ) is 0.4 and with a 60% of vaccinees at random we get a persistence of the disease almost zero, while as with vaccination of individuals by conglomerates that persistence is close to 80%. When we have s = 1, the random vaccination of individuals also results more effective because with 80% of vaccinated individualsthe persistent is almost zero, while for clusters with vaccination even with 99% of vaccinees the disease still persists. Here, we can conclude that vaccination of individuals in a random way result be more effective than the vaccination done in groups.
publishDate 2009
dc.date.issued.fl_str_mv 2009-04-13
dc.date.accessioned.fl_str_mv 2016-05-19T15:51:56Z
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dc.identifier.citation.fl_str_mv LÓPEZ, Alexandra Johanna Esteban. Estudo da dinâmica de epidemias em redes aleatórias. 2009. 82 f. Dissertação (Programa de Pós-Graduação em Biometria e Estatística Aplicada) - Universidade Federal Rural de Pernambuco, Recife.
dc.identifier.uri.fl_str_mv http://www.tede2.ufrpe.br:8080/tede2/handle/tede2/4466
identifier_str_mv LÓPEZ, Alexandra Johanna Esteban. Estudo da dinâmica de epidemias em redes aleatórias. 2009. 82 f. Dissertação (Programa de Pós-Graduação em Biometria e Estatística Aplicada) - Universidade Federal Rural de Pernambuco, Recife.
url http://www.tede2.ufrpe.br:8080/tede2/handle/tede2/4466
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