Fuzzy model to estimate the number of hospitalizations for asthma and pneumonia under the effects of air pollution

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dc.contributor.authorChaves, Luciano Eustaquio [UNESP]
dc.contributor.authorCosta Nascimento, Luiz Fernando [UNESP]
dc.contributor.authorSilva Rocha Rizol, Paloma Maria [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionFundacao Univ Vida Crista
dc.contributor.institutionUniv Taubate
dc.date.accessioned2018-11-26T17:40:34Z
dc.date.available2018-11-26T17:40:34Z
dc.date.issued2017-01-01
dc.description.abstractOBJECTIVE: Predict the number of hospitalizations for asthma and pneumonia associated with exposure to air pollutants in the city of Sao Jose dos Campos, Sao Paulo State. METHODS: This is a computational model using fuzzy logic based on Mamdani's inference method. For the fuzzification of the input variables of particulate matter, ozone, sulfur dioxide and apparent temperature, we considered two relevancy functions for each variable with the linguistic approach: good and bad. For the output variable number of hospitalizations for asthma and pneumonia, we considered five relevancy functions: very low, low, medium, high and very high. DATASUS was our source for the number of hospitalizations in the year 2007 and the result provided by the model was correlated with the actual data of hospitalization with lag from zero to two days. The accuracy of the model was estimated by the ROC curve for each pollutant and in those lags. RESULTS: In the year of 2007, 1,710 hospitalizations by pneumonia and asthma were recorded in Sao Jose dos Campos, State of Sao Paulo, with a daily average of 4.9 hospitalizations (SD = 2.9). The model output data showed positive and significant correlation (r = 0.38) with the actual data; the accuracies evaluated for the model were higher for sulfur dioxide in lag 0 and 2 and for particulate matter in lag 1. CONCLUSIONS: Fuzzy modeling proved accurate for the pollutant exposure effects and hospitalization for pneumonia and asthma approach.en
dc.description.affiliationUniv Estadual Paulista, Fac Engn Guaratingueta, Dept Mecan, Sao Paulo, SP, Brazil
dc.description.affiliationFundacao Univ Vida Crista, Fac Pindamonhangaba, Pindamonhangaba, SP, Brazil
dc.description.affiliationUniv Taubate, Dept Med, Taubate, SP, Brazil
dc.description.affiliationUniv Estadual Paulista, Fac Engn Guaratingueta, Dept Energia, Guaratingueta, SP, Brazil
dc.description.affiliationUniv Estadual Paulista, Fac Engn Guaratingueta, Dept Engn Elect, Guaratingueta, SP, Brazil
dc.description.affiliationUnespUniv Estadual Paulista, Fac Engn Guaratingueta, Dept Mecan, Sao Paulo, SP, Brazil
dc.description.affiliationUnespUniv Estadual Paulista, Fac Engn Guaratingueta, Dept Energia, Guaratingueta, SP, Brazil
dc.description.affiliationUnespUniv Estadual Paulista, Fac Engn Guaratingueta, Dept Engn Elect, Guaratingueta, SP, Brazil
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.description.sponsorshipIdCNPq: 308297/2011-3
dc.format.extent8
dc.identifierhttp://dx.doi.org/10.1590/S1518-8787.2017051006501
dc.identifier.citationRevista De Saude Publica. Sao Paulo: Revista De Saude Publica, v. 51, 8 p., 2017.
dc.identifier.doi10.1590/S1518-8787.2017051006501
dc.identifier.fileS0034-89102017000100244.pdf
dc.identifier.issn0034-8910
dc.identifier.scieloS0034-89102017000100244
dc.identifier.urihttp://hdl.handle.net/11449/163223
dc.identifier.wosWOS:000410607300005
dc.language.isoeng
dc.publisherRevista De Saude Publica
dc.relation.ispartofRevista De Saude Publica
dc.relation.ispartofsjr0,807
dc.rights.accessRightsAcesso aberto
dc.sourceWeb of Science
dc.subjectAir Pollution, adverse effects
dc.subjectAsthma, epidemiology
dc.subjectPneumonia, epidemiology
dc.subjectHospitalization
dc.subjectFuzzy Logic
dc.titleFuzzy model to estimate the number of hospitalizations for asthma and pneumonia under the effects of air pollutionen
dc.typeArtigo
dcterms.rightsHolderRevista De Saude Publica

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Artigos - Engenharia Mecânica - FEG
Artigos - Energia - FEG
Artigos - Engenharia Elétrica - FEG