Accuracy of yellow fever case definition of epidemiologic surveillance, São Paulo, 2018
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Revista de Saúde Pública |
Texto Completo: | https://www.revistas.usp.br/rsp/article/view/214884 |
Resumo: | OBJECTIVE: To evaluate the accuracy of yellow fever (YF) suspected case definitions from the Brazilian Ministry of Health (BMH) and World Health Organization (WHO), as well as propose and evaluate new definitions of suspected cases, considering confirmed and discarded cases. METHODS: The retrospective study was conducted at the Instituto de Infectologia Emílio Ribas (IIER), using the Epidemiologic Surveillance Form of YF cases. From the confirmed and discarded cases of YF, a logistic regression model was developed. The independent variables were used in a proposed definition of a suspected case of YF and its accuracy was evaluated. RESULTS: In total, 113 YF suspect cases were reported, with 78 confirmed (69.0%). The definitions by BMH and WHO presented low sensitivity, 59% and 53.8%, and reduced accuracy, 53.1% and 47.8%, respectively. Predictive factors for YF were thrombocytopenia, leukopenia, and elevation of transaminases greater than twice normal. The definition including individual with acute onset of fever, followed by elevation of ALT or AST greater than twice the reference value AND leukopenia OR thrombocytopenia presented high sensitivity (88.3%), specificity (62.9%), and the best accuracy (80.4%), as proposed in the model. CONCLUSION: The YF suspected case definitions of the BMH and the WHO have low sensitivity. The inclusion of nonspecific laboratory tests increases the accuracy of YF definition. |
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Accuracy of yellow fever case definition of epidemiologic surveillance, São Paulo, 2018Yellow FeverAccuracyCase DefinitionEpidemiologic SurveillanceOBJECTIVE: To evaluate the accuracy of yellow fever (YF) suspected case definitions from the Brazilian Ministry of Health (BMH) and World Health Organization (WHO), as well as propose and evaluate new definitions of suspected cases, considering confirmed and discarded cases. METHODS: The retrospective study was conducted at the Instituto de Infectologia Emílio Ribas (IIER), using the Epidemiologic Surveillance Form of YF cases. From the confirmed and discarded cases of YF, a logistic regression model was developed. The independent variables were used in a proposed definition of a suspected case of YF and its accuracy was evaluated. RESULTS: In total, 113 YF suspect cases were reported, with 78 confirmed (69.0%). The definitions by BMH and WHO presented low sensitivity, 59% and 53.8%, and reduced accuracy, 53.1% and 47.8%, respectively. Predictive factors for YF were thrombocytopenia, leukopenia, and elevation of transaminases greater than twice normal. The definition including individual with acute onset of fever, followed by elevation of ALT or AST greater than twice the reference value AND leukopenia OR thrombocytopenia presented high sensitivity (88.3%), specificity (62.9%), and the best accuracy (80.4%), as proposed in the model. CONCLUSION: The YF suspected case definitions of the BMH and the WHO have low sensitivity. The inclusion of nonspecific laboratory tests increases the accuracy of YF definition.Universidade de São Paulo. Faculdade de Saúde Pública2023-07-19info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdftext/xmlhttps://www.revistas.usp.br/rsp/article/view/21488410.11606/s1518-8787.2023057005001Revista de Saúde Pública; Vol. 57 No. 1 (2023); 46Revista de Saúde Pública; Vol. 57 Núm. 1 (2023); 46Revista de Saúde Pública; v. 57 n. 1 (2023); 461518-87870034-8910reponame:Revista de Saúde Públicainstname:Universidade de São Paulo (USP)instacron:USPenghttps://www.revistas.usp.br/rsp/article/view/214884/197064https://www.revistas.usp.br/rsp/article/view/214884/197063Copyright (c) 2023 Ana Freitas Ribeiro, Roberta Figueiredo Cavalin, Aparecida Mei Mingrone Klimas, Ricardo Manfredo, Luciana Marques Sansão Borgeshttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessRibeiro, Ana FreitasCavalin, Roberta FigueiredoKlimas, Aparecida Mei MingroneManfredo, RicardoBorges, Luciana Marques Sansão2023-08-08T20:12:52Zoai:revistas.usp.br:article/214884Revistahttps://www.revistas.usp.br/rsp/indexONGhttps://www.revistas.usp.br/rsp/oairevsp@org.usp.br||revsp1@usp.br1518-87870034-8910opendoar:2023-08-08T20:12:52Revista de Saúde Pública - Universidade de São Paulo (USP)false |
dc.title.none.fl_str_mv |
Accuracy of yellow fever case definition of epidemiologic surveillance, São Paulo, 2018 |
title |
Accuracy of yellow fever case definition of epidemiologic surveillance, São Paulo, 2018 |
spellingShingle |
Accuracy of yellow fever case definition of epidemiologic surveillance, São Paulo, 2018 Ribeiro, Ana Freitas Yellow Fever Accuracy Case Definition Epidemiologic Surveillance |
title_short |
Accuracy of yellow fever case definition of epidemiologic surveillance, São Paulo, 2018 |
title_full |
Accuracy of yellow fever case definition of epidemiologic surveillance, São Paulo, 2018 |
title_fullStr |
Accuracy of yellow fever case definition of epidemiologic surveillance, São Paulo, 2018 |
title_full_unstemmed |
Accuracy of yellow fever case definition of epidemiologic surveillance, São Paulo, 2018 |
title_sort |
Accuracy of yellow fever case definition of epidemiologic surveillance, São Paulo, 2018 |
author |
Ribeiro, Ana Freitas |
author_facet |
Ribeiro, Ana Freitas Cavalin, Roberta Figueiredo Klimas, Aparecida Mei Mingrone Manfredo, Ricardo Borges, Luciana Marques Sansão |
author_role |
author |
author2 |
Cavalin, Roberta Figueiredo Klimas, Aparecida Mei Mingrone Manfredo, Ricardo Borges, Luciana Marques Sansão |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Ribeiro, Ana Freitas Cavalin, Roberta Figueiredo Klimas, Aparecida Mei Mingrone Manfredo, Ricardo Borges, Luciana Marques Sansão |
dc.subject.por.fl_str_mv |
Yellow Fever Accuracy Case Definition Epidemiologic Surveillance |
topic |
Yellow Fever Accuracy Case Definition Epidemiologic Surveillance |
description |
OBJECTIVE: To evaluate the accuracy of yellow fever (YF) suspected case definitions from the Brazilian Ministry of Health (BMH) and World Health Organization (WHO), as well as propose and evaluate new definitions of suspected cases, considering confirmed and discarded cases. METHODS: The retrospective study was conducted at the Instituto de Infectologia Emílio Ribas (IIER), using the Epidemiologic Surveillance Form of YF cases. From the confirmed and discarded cases of YF, a logistic regression model was developed. The independent variables were used in a proposed definition of a suspected case of YF and its accuracy was evaluated. RESULTS: In total, 113 YF suspect cases were reported, with 78 confirmed (69.0%). The definitions by BMH and WHO presented low sensitivity, 59% and 53.8%, and reduced accuracy, 53.1% and 47.8%, respectively. Predictive factors for YF were thrombocytopenia, leukopenia, and elevation of transaminases greater than twice normal. The definition including individual with acute onset of fever, followed by elevation of ALT or AST greater than twice the reference value AND leukopenia OR thrombocytopenia presented high sensitivity (88.3%), specificity (62.9%), and the best accuracy (80.4%), as proposed in the model. CONCLUSION: The YF suspected case definitions of the BMH and the WHO have low sensitivity. The inclusion of nonspecific laboratory tests increases the accuracy of YF definition. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-07-19 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://www.revistas.usp.br/rsp/article/view/214884 10.11606/s1518-8787.2023057005001 |
url |
https://www.revistas.usp.br/rsp/article/view/214884 |
identifier_str_mv |
10.11606/s1518-8787.2023057005001 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://www.revistas.usp.br/rsp/article/view/214884/197064 https://www.revistas.usp.br/rsp/article/view/214884/197063 |
dc.rights.driver.fl_str_mv |
https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf text/xml |
dc.publisher.none.fl_str_mv |
Universidade de São Paulo. Faculdade de Saúde Pública |
publisher.none.fl_str_mv |
Universidade de São Paulo. Faculdade de Saúde Pública |
dc.source.none.fl_str_mv |
Revista de Saúde Pública; Vol. 57 No. 1 (2023); 46 Revista de Saúde Pública; Vol. 57 Núm. 1 (2023); 46 Revista de Saúde Pública; v. 57 n. 1 (2023); 46 1518-8787 0034-8910 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 |
_version_ |
1800221803955617792 |