Time series analysis of government information about COVID-19 on social media and the number of new cases during the first 6 months of the pandemic: the Brazil case

Detalhes bibliográficos
Autor(a) principal: Silva, LarissaTavares da
Data de Publicação: 2021
Outros Autores: Marinho, Angélica Maria Cupertino Lopes, Braga, Nayra Santos, Santos , Tiago Rezende dos, Abreu, Mauro Henrique Nogueira Guimarães de, Assunção, Cristiane Meira, Ferreira , Fernanda Morais
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Research, Society and Development
Texto Completo: https://rsdjournal.org/index.php/rsd/article/view/23797
Resumo: This retrospective study sought to assess the association between the evolution of the COVID-19 pandemic in Brazil and the quality of educational materials published in the official profiles of Brazilian government health agencies on Instagram. Posts about COVID-19, published between January 31 and August 15, 2021, were selected, dated, quantified and classified according to their content by three researchers. Public’s engagement was calculated by the number of likes, comments and views. The quality of the educational posts was assessed by two trained and calibrated researchers (Kappa intra and inter-examiners, k=0.96 and k=0.92, respectively), using the Brazilian version of the Clear Communication Index (BR-CDC-CCI), the number of new COVID-19 cases was collected using the COVID-19 epidemic calculator provided by PAHO at https://covid-calc.org/. The relationship between the evolution of the COVID-19 indicator and the quality of educational posts was calculated using the statistical model of a fortnightly time series. On average, educational posts reached 6.4 in the BR-CDC-CCI score (median = 6.5). In the multiple model adjusted for the amount of educational posts and public engagement, it was observed that for each increase of one point in the BR-CDC-CCI score, there was a reduction of 327,864 new cases of Covid-19 (p <0.001). It was concluded that there was a relationship between the low quality of posts and the greater number of new cases of the disease, indicating the need for greater attention from Brazilian government agencies with the quality of information made available on social networks to help control the COVID-19 pandemic.
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spelling Time series analysis of government information about COVID-19 on social media and the number of new cases during the first 6 months of the pandemic: the Brazil case Análisis de series de tiempo de la información del gobierno sobre COVID-19 en las redes sociales y el número de nuevos casos durante los primeros 6 meses de la pandemia: el caso de BrasilAnálise de série temporal de informações do governo sobre COVID-19 nas redes sociais e o número de novos casos durante os primeiros 6 meses da pandemia: o caso do BrasilCOVID-19Comunicação em saúdeEducação em saúdeAcesso à informação de SaúdeRede social.COVID-19Health educationHealth communicationAccess to informationSocial networking.COVID-19Comunicación en saludEducación en saludAcceso a la informaciónRed social.This retrospective study sought to assess the association between the evolution of the COVID-19 pandemic in Brazil and the quality of educational materials published in the official profiles of Brazilian government health agencies on Instagram. Posts about COVID-19, published between January 31 and August 15, 2021, were selected, dated, quantified and classified according to their content by three researchers. Public’s engagement was calculated by the number of likes, comments and views. The quality of the educational posts was assessed by two trained and calibrated researchers (Kappa intra and inter-examiners, k=0.96 and k=0.92, respectively), using the Brazilian version of the Clear Communication Index (BR-CDC-CCI), the number of new COVID-19 cases was collected using the COVID-19 epidemic calculator provided by PAHO at https://covid-calc.org/. The relationship between the evolution of the COVID-19 indicator and the quality of educational posts was calculated using the statistical model of a fortnightly time series. On average, educational posts reached 6.4 in the BR-CDC-CCI score (median = 6.5). In the multiple model adjusted for the amount of educational posts and public engagement, it was observed that for each increase of one point in the BR-CDC-CCI score, there was a reduction of 327,864 new cases of Covid-19 (p <0.001). It was concluded that there was a relationship between the low quality of posts and the greater number of new cases of the disease, indicating the need for greater attention from Brazilian government agencies with the quality of information made available on social networks to help control the COVID-19 pandemic.Este estudio retrospectivo buscó evaluar la asociación entre la evolución de la pandemia COVID-19 en Brasil y la calidad de los materiales educativos publicados en Instagram de las agencias de salud del gobierno brasileño. Las publicaciones sobre COVID-19, entre el 31 de enero y el 15 de agosto de 2021, fueron seleccionadas, fechadas, cuantificadas y clasificadas según su contenido por tres investigadores. La participación de la audiencia se calculó por la cantidad de me gusta, comentarios y vistas. La calidad de las publicaciones educativas fue evaluada por dos investigadores capacitados y calibrados (Kappa intra e inter-examinadores, k= 0.96 y k= 0.92, respectivamente), utilizando la versión brasileña del Clear Communication Index (BR-CDC-CCI), El número de casos nuevos de COVID-19 se recopilo en el sitio web https://covid-calc.org/. La asociación entre la evolución del indicador COVID-19 y la calidad de las publicaciones educativas se calculó mediante el modelo estadístico de uma serie temporal quincenal. En promedio, publicaciones educativas alcanzaron 6,4 en la puntuación BR-CDC-CCI (mediana = 6,5). En el modelo múltiple ajustado por la cantidad de publicaciones y la participación de la audiencia, se observó que por cada aumento de un punto en la puntuación BR-CDC-CCI, hubo una reducción de 327,864 nuevos casos (p< 0,001). Se concluye que existía una relación entre la baja calidad de publicaciones educativas y el mayor número de nuevos casos. Las agencias de salud del gobierno brasileño deben estar atentas de la calidad de información disponible en las redes sociales para ayudar a controlar la pandemia de COVID-19.Este estudo retrospectivo buscou avaliar a associação entre a evolução da pandemia de COVID-19 no Brasil e a qualidade dos materiais educativos publicados nos perfis oficiais dos órgãos governamentais de saúde brasileiros no Instagram. As postagens sobre COVID-19, publicadas entre 31 de janeiro e 15 de agosto de 2021, foram selecionadas, datadas, quantificadas e classificadas de acordo com seu conteúdo por três pesquisadoras. O engajamento do público foi calculado pelo número de curtidas, comentários e visualizações. A qualidade das postagens educativas foi avaliada por duas pesquisadoras treinados e calibradas (Kappa intra e inter-examinadores, k=0.96 e k=0.92, respectivamente), utilizando a versão brasileira do Índice de Comunicação Clara (BR-CDC-CCI), o número de casos novos do COVID-19 foi coletado através da calculadora epidêmica Covid-19 fornecida pela OPAS, no site https:// covid-calc.org/. A relação entre a evolução do indicador da COVID-19 e a qualidade das postagens educativas foi calculada através do modelo estatístico de uma série temporal quinzenal. Em média, as postagens educativas alcançaram 6,4 no escore BR-CDC-CCI (mediana = 6,5). No modelo múltiplo ajustado pela quantidade de publicações disponibilizadas e engajamento do público, observou-se que a cada aumento de um ponto no escore BR-CDC-CCI, houve uma redução de 327.864 novos casos de Covid-19 (p <0,001). Concluiu-se que houve relação entre a baixa qualidade das postagens e o maior número de novos casos da doença, assinalando a necessidade de maior atenção por parte de órgãos governamentais brasileiros com a qualidade das informações disponibilizadas nas redes sociais para auxiliar no controle da pandemia de COVID-19.Research, Society and Development2021-12-17info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/2379710.33448/rsd-v10i16.23797Research, Society and Development; Vol. 10 No. 16; e501101623797Research, Society and Development; Vol. 10 Núm. 16; e501101623797Research, Society and Development; v. 10 n. 16; e5011016237972525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIenghttps://rsdjournal.org/index.php/rsd/article/view/23797/21151Copyright (c) 2021 LarissaTavares da Silva; Angélica Maria Cupertino Lopes Marinho; Nayra Santos Braga; Tiago Rezende dos Santos ; Mauro Henrique Nogueira Guimarães de Abreu; Cristiane Meira Assunção; Fernanda Morais Ferreira https://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessSilva, LarissaTavares da Marinho, Angélica Maria Cupertino LopesBraga, Nayra Santos Santos , Tiago Rezende dosAbreu, Mauro Henrique Nogueira Guimarães de Assunção, Cristiane MeiraFerreira , Fernanda Morais2021-12-20T11:03:07Zoai:ojs.pkp.sfu.ca:article/23797Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:42:33.050394Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false
dc.title.none.fl_str_mv Time series analysis of government information about COVID-19 on social media and the number of new cases during the first 6 months of the pandemic: the Brazil case
Análisis de series de tiempo de la información del gobierno sobre COVID-19 en las redes sociales y el número de nuevos casos durante los primeros 6 meses de la pandemia: el caso de Brasil
Análise de série temporal de informações do governo sobre COVID-19 nas redes sociais e o número de novos casos durante os primeiros 6 meses da pandemia: o caso do Brasil
title Time series analysis of government information about COVID-19 on social media and the number of new cases during the first 6 months of the pandemic: the Brazil case
spellingShingle Time series analysis of government information about COVID-19 on social media and the number of new cases during the first 6 months of the pandemic: the Brazil case
Silva, LarissaTavares da
COVID-19
Comunicação em saúde
Educação em saúde
Acesso à informação de Saúde
Rede social.
COVID-19
Health education
Health communication
Access to information
Social networking.
COVID-19
Comunicación en salud
Educación en salud
Acceso a la información
Red social.
title_short Time series analysis of government information about COVID-19 on social media and the number of new cases during the first 6 months of the pandemic: the Brazil case
title_full Time series analysis of government information about COVID-19 on social media and the number of new cases during the first 6 months of the pandemic: the Brazil case
title_fullStr Time series analysis of government information about COVID-19 on social media and the number of new cases during the first 6 months of the pandemic: the Brazil case
title_full_unstemmed Time series analysis of government information about COVID-19 on social media and the number of new cases during the first 6 months of the pandemic: the Brazil case
title_sort Time series analysis of government information about COVID-19 on social media and the number of new cases during the first 6 months of the pandemic: the Brazil case
author Silva, LarissaTavares da
author_facet Silva, LarissaTavares da
Marinho, Angélica Maria Cupertino Lopes
Braga, Nayra Santos
Santos , Tiago Rezende dos
Abreu, Mauro Henrique Nogueira Guimarães de
Assunção, Cristiane Meira
Ferreira , Fernanda Morais
author_role author
author2 Marinho, Angélica Maria Cupertino Lopes
Braga, Nayra Santos
Santos , Tiago Rezende dos
Abreu, Mauro Henrique Nogueira Guimarães de
Assunção, Cristiane Meira
Ferreira , Fernanda Morais
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Silva, LarissaTavares da
Marinho, Angélica Maria Cupertino Lopes
Braga, Nayra Santos
Santos , Tiago Rezende dos
Abreu, Mauro Henrique Nogueira Guimarães de
Assunção, Cristiane Meira
Ferreira , Fernanda Morais
dc.subject.por.fl_str_mv COVID-19
Comunicação em saúde
Educação em saúde
Acesso à informação de Saúde
Rede social.
COVID-19
Health education
Health communication
Access to information
Social networking.
COVID-19
Comunicación en salud
Educación en salud
Acceso a la información
Red social.
topic COVID-19
Comunicação em saúde
Educação em saúde
Acesso à informação de Saúde
Rede social.
COVID-19
Health education
Health communication
Access to information
Social networking.
COVID-19
Comunicación en salud
Educación en salud
Acceso a la información
Red social.
description This retrospective study sought to assess the association between the evolution of the COVID-19 pandemic in Brazil and the quality of educational materials published in the official profiles of Brazilian government health agencies on Instagram. Posts about COVID-19, published between January 31 and August 15, 2021, were selected, dated, quantified and classified according to their content by three researchers. Public’s engagement was calculated by the number of likes, comments and views. The quality of the educational posts was assessed by two trained and calibrated researchers (Kappa intra and inter-examiners, k=0.96 and k=0.92, respectively), using the Brazilian version of the Clear Communication Index (BR-CDC-CCI), the number of new COVID-19 cases was collected using the COVID-19 epidemic calculator provided by PAHO at https://covid-calc.org/. The relationship between the evolution of the COVID-19 indicator and the quality of educational posts was calculated using the statistical model of a fortnightly time series. On average, educational posts reached 6.4 in the BR-CDC-CCI score (median = 6.5). In the multiple model adjusted for the amount of educational posts and public engagement, it was observed that for each increase of one point in the BR-CDC-CCI score, there was a reduction of 327,864 new cases of Covid-19 (p <0.001). It was concluded that there was a relationship between the low quality of posts and the greater number of new cases of the disease, indicating the need for greater attention from Brazilian government agencies with the quality of information made available on social networks to help control the COVID-19 pandemic.
publishDate 2021
dc.date.none.fl_str_mv 2021-12-17
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/23797
10.33448/rsd-v10i16.23797
url https://rsdjournal.org/index.php/rsd/article/view/23797
identifier_str_mv 10.33448/rsd-v10i16.23797
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://rsdjournal.org/index.php/rsd/article/view/23797/21151
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. 16; e501101623797
Research, Society and Development; Vol. 10 Núm. 16; e501101623797
Research, Society and Development; v. 10 n. 16; e501101623797
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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