Analysis of sporotricose evolution using regression model in cases of felines from Timbaúba / PE - Brazil

Detalhes bibliográficos
Autor(a) principal: Silva, José Eduardo
Data de Publicação: 2021
Outros Autores: Cirino, Marcondes Domingos de Araújo, Farias, Elaine Fonseca de, Fonseca, Larissa Ferreira da, Shinohara, Gisele Mine, Shinohara, Neide Kazue Sakugawa, Cunha Filho , Moacyr
Tipo de documento: Artigo
Idioma: por
Título da fonte: Research, Society and Development
Texto Completo: https://rsdjournal.org/index.php/rsd/article/view/12082
Resumo: Objective: to analyze the evolution of confirmed cases of sporotrichosis in the municipality of Timbaúba - PE using Regression and Prediction Models. Method: monthly data of confirmed cases of sporotrichosis were used through clinical and laboratory tests, provided by an Animal Health Unit, from January to December 2020. With the data, statistical tests were performed with the Regression Models: linear simple, cubic and quadratic. In addition to prediction tests with the Simple Average Model. Results: the analysis of the Cubic Regression Model demonstrated the best fit for the data set of confirmed cases of sporotrichosis in the municipality. Conclusion: with the analysis it was possible to perceive the oscillation around 3 confirmed cases, with no trend of change, whose forecast for the month of January 2021 lies in the evidence of the occurrence of 2.66 cases at 95% confidence.
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spelling Analysis of sporotricose evolution using regression model in cases of felines from Timbaúba / PE - BrazilAnálisis de la evolución de sporotricosa mediante modelo de regresión en casos de felinas de Timbaúba / PE – BrasilAnálise da evolução de esporotricose empregando modelo de regressão em casos de felinos de Timbaúba/PE – BrasilMathematical modelSporothrix schenckiiMoving averagePrediction test.Modelo matemáticoSporothrix schenckiiMedia móvilPrueba de predicción.Modelo matemáticoSporothrix schenckiiMédia móvelTeste de previsão. Objective: to analyze the evolution of confirmed cases of sporotrichosis in the municipality of Timbaúba - PE using Regression and Prediction Models. Method: monthly data of confirmed cases of sporotrichosis were used through clinical and laboratory tests, provided by an Animal Health Unit, from January to December 2020. With the data, statistical tests were performed with the Regression Models: linear simple, cubic and quadratic. In addition to prediction tests with the Simple Average Model. Results: the analysis of the Cubic Regression Model demonstrated the best fit for the data set of confirmed cases of sporotrichosis in the municipality. Conclusion: with the analysis it was possible to perceive the oscillation around 3 confirmed cases, with no trend of change, whose forecast for the month of January 2021 lies in the evidence of the occurrence of 2.66 cases at 95% confidence.Objetivo: analizar la evolución de casos confirmados de esporotricosis en el municipio de Timbaúba - PE mediante modelos de regresión y predicción. Método: se utilizaron datos mensuales de casos confirmados de esporotricosis mediante pruebas clínicas y de laboratorio, provistas por una Unidad de Sanidad Animal, de enero a diciembre de 2020. Con los datos se realizaron pruebas estadísticas con los Modelos de Regresión: lineal simple, cúbica y cuadrática. Además de las pruebas de predicción con el Modelo de Promedio Simple. Resultados: el análisis del Modelo de Regresión Cúbica demostró el mejor ajuste para el conjunto de datos de casos confirmados de esporotricosis en el municipio. Conclusión: con el análisis se pudo percibir la oscilación en torno a 3 casos confirmados, sin tendencia de cambio, cuya previsión para el mes de enero de 2021 radica en la evidencia de la ocurrencia de 2,66 casos al 95% de confianza.Objetivo: analisar a evolução de casos confirmados de esporotricose no município de Timbaúba – PE com o uso de Modelos de Regressão e Previsão. Método: foram utilizados dados mensais de casos confirmados de esporotricose por meio de testes clínicos e laboratorial, fornecidos por uma Unidade de Saúde Animal, do período de janeiro a dezembro de 2020. Com os dados foram realizados testes estatísticos com os Modelos de Regressão: linear simples, cúbico e quadrático. Além de testes de previsão com o Modelo de Média Simples. Resultados: as análises o Modelo de Regressão Cúbico demonstrou o melhor ajuste para o conjunto de dados de casos confirmados de esporotricose no município. Conclusão: com a análise foi possível perceber a oscilação em torno de 3 casos confirmados, sem tendência de mudança, cuja previsão para o mês de janeiro de 2021 reside na evidência de ocorrência de 2,66 casos à 95% de confiança.Research, Society and Development2021-01-28info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/1208210.33448/rsd-v10i1.12082Research, Society and Development; Vol. 10 No. 1; e51310112082Research, Society and Development; Vol. 10 Núm. 1; e51310112082Research, Society and Development; v. 10 n. 1; e513101120822525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIporhttps://rsdjournal.org/index.php/rsd/article/view/12082/10813Copyright (c) 2021 José Eduardo Silva; Marcondes Domingos de Araújo Cirino; Elaine Fonseca de Farias; Larissa Ferreira da Fonseca; Gisele Mine Shinohara; Neide Kazue Sakugawa Shinohara; Moacyr Cunha Filho https://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessSilva, José EduardoCirino, Marcondes Domingos de Araújo Farias, Elaine Fonseca de Fonseca, Larissa Ferreira da Shinohara, Gisele Mine Shinohara, Neide Kazue SakugawaCunha Filho , Moacyr2021-02-20T21:19:23Zoai:ojs.pkp.sfu.ca:article/12082Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:33:45.394941Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false
dc.title.none.fl_str_mv Analysis of sporotricose evolution using regression model in cases of felines from Timbaúba / PE - Brazil
Análisis de la evolución de sporotricosa mediante modelo de regresión en casos de felinas de Timbaúba / PE – Brasil
Análise da evolução de esporotricose empregando modelo de regressão em casos de felinos de Timbaúba/PE – Brasil
title Analysis of sporotricose evolution using regression model in cases of felines from Timbaúba / PE - Brazil
spellingShingle Analysis of sporotricose evolution using regression model in cases of felines from Timbaúba / PE - Brazil
Silva, José Eduardo
Mathematical model
Sporothrix schenckii
Moving average
Prediction test.
Modelo matemático
Sporothrix schenckii
Media móvil
Prueba de predicción.
Modelo matemático
Sporothrix schenckii
Média móvel
Teste de previsão.
title_short Analysis of sporotricose evolution using regression model in cases of felines from Timbaúba / PE - Brazil
title_full Analysis of sporotricose evolution using regression model in cases of felines from Timbaúba / PE - Brazil
title_fullStr Analysis of sporotricose evolution using regression model in cases of felines from Timbaúba / PE - Brazil
title_full_unstemmed Analysis of sporotricose evolution using regression model in cases of felines from Timbaúba / PE - Brazil
title_sort Analysis of sporotricose evolution using regression model in cases of felines from Timbaúba / PE - Brazil
author Silva, José Eduardo
author_facet Silva, José Eduardo
Cirino, Marcondes Domingos de Araújo
Farias, Elaine Fonseca de
Fonseca, Larissa Ferreira da
Shinohara, Gisele Mine
Shinohara, Neide Kazue Sakugawa
Cunha Filho , Moacyr
author_role author
author2 Cirino, Marcondes Domingos de Araújo
Farias, Elaine Fonseca de
Fonseca, Larissa Ferreira da
Shinohara, Gisele Mine
Shinohara, Neide Kazue Sakugawa
Cunha Filho , Moacyr
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Silva, José Eduardo
Cirino, Marcondes Domingos de Araújo
Farias, Elaine Fonseca de
Fonseca, Larissa Ferreira da
Shinohara, Gisele Mine
Shinohara, Neide Kazue Sakugawa
Cunha Filho , Moacyr
dc.subject.por.fl_str_mv Mathematical model
Sporothrix schenckii
Moving average
Prediction test.
Modelo matemático
Sporothrix schenckii
Media móvil
Prueba de predicción.
Modelo matemático
Sporothrix schenckii
Média móvel
Teste de previsão.
topic Mathematical model
Sporothrix schenckii
Moving average
Prediction test.
Modelo matemático
Sporothrix schenckii
Media móvil
Prueba de predicción.
Modelo matemático
Sporothrix schenckii
Média móvel
Teste de previsão.
description Objective: to analyze the evolution of confirmed cases of sporotrichosis in the municipality of Timbaúba - PE using Regression and Prediction Models. Method: monthly data of confirmed cases of sporotrichosis were used through clinical and laboratory tests, provided by an Animal Health Unit, from January to December 2020. With the data, statistical tests were performed with the Regression Models: linear simple, cubic and quadratic. In addition to prediction tests with the Simple Average Model. Results: the analysis of the Cubic Regression Model demonstrated the best fit for the data set of confirmed cases of sporotrichosis in the municipality. Conclusion: with the analysis it was possible to perceive the oscillation around 3 confirmed cases, with no trend of change, whose forecast for the month of January 2021 lies in the evidence of the occurrence of 2.66 cases at 95% confidence.
publishDate 2021
dc.date.none.fl_str_mv 2021-01-28
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://rsdjournal.org/index.php/rsd/article/view/12082
10.33448/rsd-v10i1.12082
url https://rsdjournal.org/index.php/rsd/article/view/12082
identifier_str_mv 10.33448/rsd-v10i1.12082
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://rsdjournal.org/index.php/rsd/article/view/12082/10813
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
dc.publisher.none.fl_str_mv Research, Society and Development
publisher.none.fl_str_mv Research, Society and Development
dc.source.none.fl_str_mv Research, Society and Development; Vol. 10 No. 1; e51310112082
Research, Society and Development; Vol. 10 Núm. 1; e51310112082
Research, Society and Development; v. 10 n. 1; e51310112082
2525-3409
reponame:Research, Society and Development
instname:Universidade Federal de Itajubá (UNIFEI)
instacron:UNIFEI
instname_str Universidade Federal de Itajubá (UNIFEI)
instacron_str UNIFEI
institution UNIFEI
reponame_str Research, Society and Development
collection Research, Society and Development
repository.name.fl_str_mv Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)
repository.mail.fl_str_mv rsd.articles@gmail.com
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