M/G/oo queue systems in the pandemic period study

Detalhes bibliográficos
Autor(a) principal: Ferreira, M. A. M.
Data de Publicação: 2014
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10071/7517
Resumo: Even after the Humanity efforts and great success in infectious diseases control, still epidemics happen, being the annual influenza outbreaks examples of those occurrences. To forecast the epidemic period length is very important because, in this period, it is necessary to strengthen the health care, demanding extra availability in human and material resources, with a huge increase of expenses. More pertinently, this happens with the pandemic period, since a pandemic is an epidemic with a great population and geographical dissemination. Predominantly using results on the M|G|? queue busy period, it is presented an application of this queue system to the pandemic period’s parameters and distribution function study. The choice of the M|G|? queue for this model is quite adequate since the greatest is the number of contagions the greatest the possibility that they occur according to a Poisson process.
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spelling M/G/oo queue systems in the pandemic period studyM/G/?Busy periodPandemicEven after the Humanity efforts and great success in infectious diseases control, still epidemics happen, being the annual influenza outbreaks examples of those occurrences. To forecast the epidemic period length is very important because, in this period, it is necessary to strengthen the health care, demanding extra availability in human and material resources, with a huge increase of expenses. More pertinently, this happens with the pandemic period, since a pandemic is an epidemic with a great population and geographical dissemination. Predominantly using results on the M|G|? queue busy period, it is presented an application of this queue system to the pandemic period’s parameters and distribution function study. The choice of the M|G|? queue for this model is quite adequate since the greatest is the number of contagions the greatest the possibility that they occur according to a Poisson process.Hikari2014-06-11T15:37:00Z2014-01-01T00:00:00Z20142019-05-21T11:12:33Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10071/7517eng1312-885X10.12988/ams.2014.45328Ferreira, M. A. M.info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-09T18:01:13Zoai:repositorio.iscte-iul.pt:10071/7517Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:32:42.436582Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv M/G/oo queue systems in the pandemic period study
title M/G/oo queue systems in the pandemic period study
spellingShingle M/G/oo queue systems in the pandemic period study
Ferreira, M. A. M.
M/G/?
Busy period
Pandemic
title_short M/G/oo queue systems in the pandemic period study
title_full M/G/oo queue systems in the pandemic period study
title_fullStr M/G/oo queue systems in the pandemic period study
title_full_unstemmed M/G/oo queue systems in the pandemic period study
title_sort M/G/oo queue systems in the pandemic period study
author Ferreira, M. A. M.
author_facet Ferreira, M. A. M.
author_role author
dc.contributor.author.fl_str_mv Ferreira, M. A. M.
dc.subject.por.fl_str_mv M/G/?
Busy period
Pandemic
topic M/G/?
Busy period
Pandemic
description Even after the Humanity efforts and great success in infectious diseases control, still epidemics happen, being the annual influenza outbreaks examples of those occurrences. To forecast the epidemic period length is very important because, in this period, it is necessary to strengthen the health care, demanding extra availability in human and material resources, with a huge increase of expenses. More pertinently, this happens with the pandemic period, since a pandemic is an epidemic with a great population and geographical dissemination. Predominantly using results on the M|G|? queue busy period, it is presented an application of this queue system to the pandemic period’s parameters and distribution function study. The choice of the M|G|? queue for this model is quite adequate since the greatest is the number of contagions the greatest the possibility that they occur according to a Poisson process.
publishDate 2014
dc.date.none.fl_str_mv 2014-06-11T15:37:00Z
2014-01-01T00:00:00Z
2014
2019-05-21T11:12:33Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10071/7517
url http://hdl.handle.net/10071/7517
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1312-885X
10.12988/ams.2014.45328
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Hikari
publisher.none.fl_str_mv Hikari
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
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