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
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , , |
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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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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1797052698702381056 |