Analysis of sporotricose evolution using regression model in cases of felines from Timbaúba / PE - Brazil
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , , |
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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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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1797052668877733888 |