Choosing a hospital assistance ship to fight the covid-19 pandemic
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Revista de Saúde Pública |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-89102020000100257 |
Resumo: | ABSTRACT OBJECTIVE: To apply the THOR 2 multi-criteria support system to select the Brazilian navy's most suitable hospital care vessel (NAsH) to support the fight against the covid-19 pandemic. METHODS: We used the first three stages of the Soft Systems Methodology for structuring and modeling of the problem. For the evaluation and ordering of alternatives, we used the Thor 2 multi-criteria support system, comparing four classes of NAsH in the light of their operational and hospital criteria: “Dr. Montenegro,” “Soares Meirelles,” “Oswaldo Cruz” and “Tenente Maximiano.” The chosen ship would support the amazon hospital system, which has an increasing number of cases of covid-19. RESULTS: After the application of the methods, we analyzed three distinct scenarios of ordering the alternatives, which allowed a robust sensitivity analysis, conferring greater transparency and reliability to the decision-making process. The NAsH “Oswaldo Cruz” was selected to be used in the fight against the pandemic. CONCLUSIONS: This study brings valuable contribution to academia and society, since it represents the application of a multi-criteria decision-aid method in the state of the art to contribute to the solution of a real problem that affects millions of people in Brazil and worldwide. |
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Choosing a hospital assistance ship to fight the covid-19 pandemicPublic HealthPandemicsRelief workCoronavirus infectionABSTRACT OBJECTIVE: To apply the THOR 2 multi-criteria support system to select the Brazilian navy's most suitable hospital care vessel (NAsH) to support the fight against the covid-19 pandemic. METHODS: We used the first three stages of the Soft Systems Methodology for structuring and modeling of the problem. For the evaluation and ordering of alternatives, we used the Thor 2 multi-criteria support system, comparing four classes of NAsH in the light of their operational and hospital criteria: “Dr. Montenegro,” “Soares Meirelles,” “Oswaldo Cruz” and “Tenente Maximiano.” The chosen ship would support the amazon hospital system, which has an increasing number of cases of covid-19. RESULTS: After the application of the methods, we analyzed three distinct scenarios of ordering the alternatives, which allowed a robust sensitivity analysis, conferring greater transparency and reliability to the decision-making process. The NAsH “Oswaldo Cruz” was selected to be used in the fight against the pandemic. CONCLUSIONS: This study brings valuable contribution to academia and society, since it represents the application of a multi-criteria decision-aid method in the state of the art to contribute to the solution of a real problem that affects millions of people in Brazil and worldwide.Faculdade de Saúde Pública da Universidade de São Paulo2020-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-89102020000100257Revista de Saúde Pública v.54 2020reponame:Revista de Saúde Públicainstname:Universidade de São Paulo (USP)instacron:USP10.11606/s1518-8787.2020054002792info:eu-repo/semantics/openAccessCosta,Igor Pinheiro de AraújoMaêda,Sérgio Mitihiro do NascimentoTeixeira,Luiz Frederico Horácio de Souza de BarrosGomes,Carlos Francisco SimõesSantos,Marcos doseng2020-08-05T00:00:00Zoai:scielo:S0034-89102020000100257Revistahttp://www.scielo.br/scielo.php?script=sci_serial&pid=0034-8910&lng=pt&nrm=isoONGhttps://old.scielo.br/oai/scielo-oai.phprevsp@org.usp.br||revsp1@usp.br1518-87870034-8910opendoar:2020-08-05T00:00Revista de Saúde Pública - Universidade de São Paulo (USP)false |
dc.title.none.fl_str_mv |
Choosing a hospital assistance ship to fight the covid-19 pandemic |
title |
Choosing a hospital assistance ship to fight the covid-19 pandemic |
spellingShingle |
Choosing a hospital assistance ship to fight the covid-19 pandemic Costa,Igor Pinheiro de Araújo Public Health Pandemics Relief work Coronavirus infection |
title_short |
Choosing a hospital assistance ship to fight the covid-19 pandemic |
title_full |
Choosing a hospital assistance ship to fight the covid-19 pandemic |
title_fullStr |
Choosing a hospital assistance ship to fight the covid-19 pandemic |
title_full_unstemmed |
Choosing a hospital assistance ship to fight the covid-19 pandemic |
title_sort |
Choosing a hospital assistance ship to fight the covid-19 pandemic |
author |
Costa,Igor Pinheiro de Araújo |
author_facet |
Costa,Igor Pinheiro de Araújo Maêda,Sérgio Mitihiro do Nascimento Teixeira,Luiz Frederico Horácio de Souza de Barros Gomes,Carlos Francisco Simões Santos,Marcos dos |
author_role |
author |
author2 |
Maêda,Sérgio Mitihiro do Nascimento Teixeira,Luiz Frederico Horácio de Souza de Barros Gomes,Carlos Francisco Simões Santos,Marcos dos |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Costa,Igor Pinheiro de Araújo Maêda,Sérgio Mitihiro do Nascimento Teixeira,Luiz Frederico Horácio de Souza de Barros Gomes,Carlos Francisco Simões Santos,Marcos dos |
dc.subject.por.fl_str_mv |
Public Health Pandemics Relief work Coronavirus infection |
topic |
Public Health Pandemics Relief work Coronavirus infection |
description |
ABSTRACT OBJECTIVE: To apply the THOR 2 multi-criteria support system to select the Brazilian navy's most suitable hospital care vessel (NAsH) to support the fight against the covid-19 pandemic. METHODS: We used the first three stages of the Soft Systems Methodology for structuring and modeling of the problem. For the evaluation and ordering of alternatives, we used the Thor 2 multi-criteria support system, comparing four classes of NAsH in the light of their operational and hospital criteria: “Dr. Montenegro,” “Soares Meirelles,” “Oswaldo Cruz” and “Tenente Maximiano.” The chosen ship would support the amazon hospital system, which has an increasing number of cases of covid-19. RESULTS: After the application of the methods, we analyzed three distinct scenarios of ordering the alternatives, which allowed a robust sensitivity analysis, conferring greater transparency and reliability to the decision-making process. The NAsH “Oswaldo Cruz” was selected to be used in the fight against the pandemic. CONCLUSIONS: This study brings valuable contribution to academia and society, since it represents the application of a multi-criteria decision-aid method in the state of the art to contribute to the solution of a real problem that affects millions of people in Brazil and worldwide. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-01-01 |
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=S0034-89102020000100257 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-89102020000100257 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.11606/s1518-8787.2020054002792 |
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 |
Faculdade de Saúde Pública da Universidade de São Paulo |
publisher.none.fl_str_mv |
Faculdade de Saúde Pública da Universidade de São Paulo |
dc.source.none.fl_str_mv |
Revista de Saúde Pública v.54 2020 reponame:Revista de Saúde Pública instname:Universidade de São Paulo (USP) instacron:USP |
instname_str |
Universidade de São Paulo (USP) |
instacron_str |
USP |
institution |
USP |
reponame_str |
Revista de Saúde Pública |
collection |
Revista de Saúde Pública |
repository.name.fl_str_mv |
Revista de Saúde Pública - Universidade de São Paulo (USP) |
repository.mail.fl_str_mv |
revsp@org.usp.br||revsp1@usp.br |
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1748936505732104192 |