Adjustment of non-linear models to Covid-19 notifications in the municipality of Palmas – Tocantins

Detalhes bibliográficos
Autor(a) principal: Nesello, Alane Lorena Medeiros
Data de Publicação: 2021
Outros Autores: Moraes, Gabriella Nunes de, Alves, Maryana Teixeira, Araújo, Ronyere Olegário de
Tipo de documento: Artigo
Idioma: por
Título da fonte: Research, Society and Development
Texto Completo: https://rsdjournal.org/index.php/rsd/article/view/22346
Resumo: Understanding how the transmissibility of a disease occurs is important to establish the necessary measures to combat it. Thus, the objective is to identify which non-linear model, between the models of Gompertz, Von Bertallanfy and Logistic, would better adjust the curve of prevalence of cases of Covid-19 of the city of Palmas-TO. As well as analyzing data from case reports and deaths, in variables such as gender and age group. Data will be used until September 2021, found on the SESAU-TO website, the notifications are confirmed through the RT-PCR test. The formulas of the models will be compiled and represented in graphs. To define the best model will be developed an AI, whose lowest value indicates the best fit. We can observe that although the highest rate of affection was in adults, the highest lethality was in the elderly. In relation to the variable gender, the highest rate of affection was in the female sex, and of lethality in the male sex. We can conclude that the model that presented the best fit to the notifications was the one from Gompertz, with a lower OI value. In addition, the estimated value found at the end of the period observed in the Gompertz model was the most similar to the number of notifications in Palmas among the models analyzed. It was also observed that Von Bertalanffy’s model presented a low AI, being also a curve suitable for Palmas. However, as for the Logistic method curve, it was the most adjusted at the beginning of the period, but as the mutations progressed, it did not become effective for the municipality.
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spelling Adjustment of non-linear models to Covid-19 notifications in the municipality of Palmas – TocantinsAjuste de modelos no lineales a notificaciones de Covid-19 en el municipio de Palmas - TocantinsAjuste de modelos não lineares às notificações de Covid-19 no município de Palmas - TocantinsPandemia de Covid-19Infecciones viralesEpidemiología analítica.Covid-19 PandemicViral infectionsAnalytical epidemiology.Infecções viraisPandemia Covid-19Epidemiologia analítica.Understanding how the transmissibility of a disease occurs is important to establish the necessary measures to combat it. Thus, the objective is to identify which non-linear model, between the models of Gompertz, Von Bertallanfy and Logistic, would better adjust the curve of prevalence of cases of Covid-19 of the city of Palmas-TO. As well as analyzing data from case reports and deaths, in variables such as gender and age group. Data will be used until September 2021, found on the SESAU-TO website, the notifications are confirmed through the RT-PCR test. The formulas of the models will be compiled and represented in graphs. To define the best model will be developed an AI, whose lowest value indicates the best fit. We can observe that although the highest rate of affection was in adults, the highest lethality was in the elderly. In relation to the variable gender, the highest rate of affection was in the female sex, and of lethality in the male sex. We can conclude that the model that presented the best fit to the notifications was the one from Gompertz, with a lower OI value. In addition, the estimated value found at the end of the period observed in the Gompertz model was the most similar to the number of notifications in Palmas among the models analyzed. It was also observed that Von Bertalanffy’s model presented a low AI, being also a curve suitable for Palmas. However, as for the Logistic method curve, it was the most adjusted at the beginning of the period, but as the mutations progressed, it did not become effective for the municipality.Entender cómo se produce la transmisibilidad de una enfermedad es importante para establecer las medidas necesarias para combatirla. Así, el objetivo es identificar qué modelo no lineal, entre los modelos de Gompertz, Von Bertallanfy y Logístico, se ajusta mejor a la curva de prevalencia de casos de Covid-19 en la ciudad de Palmas-TO. Así como analizar datos de notificaciones de casos y defunciones, en variables como sexo y grupo de edad. Los datos se utilizarán hasta septiembre de 2021, que se encuentran en el sitio web de SESAU-TO, las notificaciones se confirman a través de la prueba de RT-PCR. Las fórmulas del modelo se compilarán y graficarán. Para definir el mejor modelo, se desarrollará una IA, cuyo valor más bajo indica el mejor ajuste. Podemos observar que a pesar de que la mayor tasa de afectación se da en adultos, la mayor tasa de mortalidad se da en los ancianos, en cuanto a la variable género, la mayor tasa de afectación se da en mujeres y la letalidad en varones. Podemos concluir que el modelo que mejor ajuste presentó las notificaciones fue el modelo Gompertz, con un valor de IA menor. Además, el valor estimado encontrado al final del período observado en el modelo de Gompertz fue el más similar al número de notificaciones en Palmas entre los modelos analizados. También se observó que el modelo de Von Bertalanffy presentó una IA baja, siendo también una curva adecuada para Palmas. Sin embargo, en cuanto a la curva del método Logístico, fue la más ajustada al inicio del período, pero con el avance de las mutaciones, terminó por no hacerse efectiva para el municipio.Compreender como a transmissibilidade de uma doença ocorre é importante para estabelecer medidas necessárias para combatê-la. Desta forma, o objetivo é identificar qual modelo não linear, entre os modelos de Gompertz, Von Bertallanfy e Logístico, se ajustaria melhor a curva de prevalência de casos de Covid-19 da cidade de Palmas-TO. Bem como analisar dados de notificações de casos e óbitos, em variáveis como gênero e faixa etária. Serão utilizados dados até setembro de 2021, encontrados no site da SESAU-TO, as notificações são confirmadas através do teste RT-PCR. As fórmulas dos modelos serão compiladas e representadas em gráficos. Para definir o melhor modelo será desenvolvido um IA, cujo menor valor indica o melhor ajuste. Podemos observar que apesar da maior taxa de acometimento ser em adultos, a maior letalidade foi em idosos. Em relação a variável gênero, a maior taxa de acometimentos foi no sexo feminino e de letalidade no sexo masculino. Podemos concluir que o modelo que apresentou melhor ajuste às notificações foi o de Gompertz, apresentando um menor valor de IA. Ademais, o valor estimado encontrado ao final do período observado no modelo Gompertz foi o mais semelhante ao número de notificações em Palmas dentre os modelos analisados. Foi também observado que o modelo de Von Bertalanffy apresentou um IA baixo, sendo também uma curva adequada para Palmas. Contudo, quanto a curva do método Logístico, foi o mais ajustado no início do período, porém com o avançar das mutações, acabou não se tornando efetiva para o município.Research, Society and Development2021-11-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/2234610.33448/rsd-v10i14.22346Research, Society and Development; Vol. 10 No. 14; e497101422346Research, Society and Development; Vol. 10 Núm. 14; e497101422346Research, Society and Development; v. 10 n. 14; e4971014223462525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIporhttps://rsdjournal.org/index.php/rsd/article/view/22346/19823Copyright (c) 2021 Alane Lorena Medeiros Nesello; Gabriella Nunes de Moraes; Maryana Teixeira Alves; Ronyere Olegário de Araújohttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessNesello, Alane Lorena MedeirosMoraes, Gabriella Nunes deAlves, Maryana TeixeiraAraújo, Ronyere Olegário de2021-12-04T11:48:39Zoai:ojs.pkp.sfu.ca:article/22346Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:41:32.468279Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false
dc.title.none.fl_str_mv Adjustment of non-linear models to Covid-19 notifications in the municipality of Palmas – Tocantins
Ajuste de modelos no lineales a notificaciones de Covid-19 en el municipio de Palmas - Tocantins
Ajuste de modelos não lineares às notificações de Covid-19 no município de Palmas - Tocantins
title Adjustment of non-linear models to Covid-19 notifications in the municipality of Palmas – Tocantins
spellingShingle Adjustment of non-linear models to Covid-19 notifications in the municipality of Palmas – Tocantins
Nesello, Alane Lorena Medeiros
Pandemia de Covid-19
Infecciones virales
Epidemiología analítica.
Covid-19 Pandemic
Viral infections
Analytical epidemiology.
Infecções virais
Pandemia Covid-19
Epidemiologia analítica.
title_short Adjustment of non-linear models to Covid-19 notifications in the municipality of Palmas – Tocantins
title_full Adjustment of non-linear models to Covid-19 notifications in the municipality of Palmas – Tocantins
title_fullStr Adjustment of non-linear models to Covid-19 notifications in the municipality of Palmas – Tocantins
title_full_unstemmed Adjustment of non-linear models to Covid-19 notifications in the municipality of Palmas – Tocantins
title_sort Adjustment of non-linear models to Covid-19 notifications in the municipality of Palmas – Tocantins
author Nesello, Alane Lorena Medeiros
author_facet Nesello, Alane Lorena Medeiros
Moraes, Gabriella Nunes de
Alves, Maryana Teixeira
Araújo, Ronyere Olegário de
author_role author
author2 Moraes, Gabriella Nunes de
Alves, Maryana Teixeira
Araújo, Ronyere Olegário de
author2_role author
author
author
dc.contributor.author.fl_str_mv Nesello, Alane Lorena Medeiros
Moraes, Gabriella Nunes de
Alves, Maryana Teixeira
Araújo, Ronyere Olegário de
dc.subject.por.fl_str_mv Pandemia de Covid-19
Infecciones virales
Epidemiología analítica.
Covid-19 Pandemic
Viral infections
Analytical epidemiology.
Infecções virais
Pandemia Covid-19
Epidemiologia analítica.
topic Pandemia de Covid-19
Infecciones virales
Epidemiología analítica.
Covid-19 Pandemic
Viral infections
Analytical epidemiology.
Infecções virais
Pandemia Covid-19
Epidemiologia analítica.
description Understanding how the transmissibility of a disease occurs is important to establish the necessary measures to combat it. Thus, the objective is to identify which non-linear model, between the models of Gompertz, Von Bertallanfy and Logistic, would better adjust the curve of prevalence of cases of Covid-19 of the city of Palmas-TO. As well as analyzing data from case reports and deaths, in variables such as gender and age group. Data will be used until September 2021, found on the SESAU-TO website, the notifications are confirmed through the RT-PCR test. The formulas of the models will be compiled and represented in graphs. To define the best model will be developed an AI, whose lowest value indicates the best fit. We can observe that although the highest rate of affection was in adults, the highest lethality was in the elderly. In relation to the variable gender, the highest rate of affection was in the female sex, and of lethality in the male sex. We can conclude that the model that presented the best fit to the notifications was the one from Gompertz, with a lower OI value. In addition, the estimated value found at the end of the period observed in the Gompertz model was the most similar to the number of notifications in Palmas among the models analyzed. It was also observed that Von Bertalanffy’s model presented a low AI, being also a curve suitable for Palmas. However, as for the Logistic method curve, it was the most adjusted at the beginning of the period, but as the mutations progressed, it did not become effective for the municipality.
publishDate 2021
dc.date.none.fl_str_mv 2021-11-11
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10.33448/rsd-v10i14.22346
url https://rsdjournal.org/index.php/rsd/article/view/22346
identifier_str_mv 10.33448/rsd-v10i14.22346
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dc.relation.none.fl_str_mv https://rsdjournal.org/index.php/rsd/article/view/22346/19823
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. 14; e497101422346
Research, Society and Development; Vol. 10 Núm. 14; e497101422346
Research, Society and Development; v. 10 n. 14; e497101422346
2525-3409
reponame:Research, Society and Development
instname:Universidade Federal de Itajubá (UNIFEI)
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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)
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