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: | Repositório Institucional da UFMG |
Texto Completo: | https://doi.org/10.33448/rsd-v10i16.23797 http://hdl.handle.net/1843/58525 https://orcid.org/0000-0002-0961-0900 https://orcid.org/0000-0003-3107-0223 https://orcid.org/0000-0001-7391-0409 https://orcid.org/0000-0003-2244-2718 https://orcid.org/0000-0001-8794-5725 https://orcid.org/0000-0002-1464-7812 https://orcid.org/0000-0001-9400-1167 |
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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2023-09-06T20:16:16Z2023-09-06T20:16:16Z20211016https://doi.org/10.33448/rsd-v10i16.237972525-3409http://hdl.handle.net/1843/58525https://orcid.org/0000-0002-0961-0900https://orcid.org/0000-0003-3107-0223https://orcid.org/0000-0001-7391-0409https://orcid.org/0000-0003-2244-2718https://orcid.org/0000-0001-8794-5725https://orcid.org/0000-0002-1464-7812https://orcid.org/0000-0001-9400-1167This 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 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 dopúblico 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 aversão 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 omaior 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.engUniversidade Federal de Minas GeraisUFMGBrasilFAO - DEPARTAMENTO DE ODONTOLOGIA SOCIAL E PREVENTIVAFAO - DEPARTAMENTO DE ODONTOPEDIATRIA E ORTODONTIAICX - DEPARTAMENTO DE ESTATÍSTICAResearch, Society and DevelopmentCOVID-19Comunicação em saúdeEducação em saúdeAcesso à informaçãoRede socialCOVID-19Health communicationHealth educationAccess to informationSocial networkingTime 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 caseAnálise 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 Brasilinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttps://rsdjournal.org/index.php/rsd/article/view/23797Larissa Tavares da SilvaAngélica Maria Cupertino Lopes MarinhoNayara Santos BragaThiago Rezende Dos SantosMauro Henrique Nogueira Guimarães de AbreuCristiane Meira AssunçãoFernanda Moraes Ferreiraapplication/pdfinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFMGinstname:Universidade Federal de Minas Gerais (UFMG)instacron:UFMGLICENSELicense.txtLicense.txttext/plain; charset=utf-82042https://repositorio.ufmg.br/bitstream/1843/58525/1/License.txtfa505098d172de0bc8864fc1287ffe22MD51ORIGINALTime 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.pdfTime 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.pdfapplication/pdf421232https://repositorio.ufmg.br/bitstream/1843/58525/2/Time%20series%20analysis%20of%20government%20information%20about%20COVID-19%20on%20social%20media%20and%20the%20number%20of%20new%20cases%20during%20the%20first%206%20months%20of%20the%20pandemic_%20the%20Brazil%20case.pdf8702130f9014b8f5ae874f8ed836226fMD521843/585252023-09-06 17:16:16.161oai:repositorio.ufmg.br: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Repositório de PublicaçõesPUBhttps://repositorio.ufmg.br/oaiopendoar:2023-09-06T20:16:16Repositório Institucional da UFMG - Universidade Federal de Minas Gerais (UFMG)false |
dc.title.pt_BR.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 |
dc.title.alternative.pt_BR.fl_str_mv |
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 Larissa Tavares da Silva COVID-19 Health communication Health education Access to information Social networking COVID-19 Comunicação em saúde Educação em saúde Acesso à informação Rede 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 |
Larissa Tavares da Silva |
author_facet |
Larissa Tavares da Silva Angélica Maria Cupertino Lopes Marinho Nayara Santos Braga Thiago Rezende Dos Santos Mauro Henrique Nogueira Guimarães de Abreu Cristiane Meira Assunção Fernanda Moraes Ferreira |
author_role |
author |
author2 |
Angélica Maria Cupertino Lopes Marinho Nayara Santos Braga Thiago Rezende Dos Santos Mauro Henrique Nogueira Guimarães de Abreu Cristiane Meira Assunção Fernanda Moraes Ferreira |
author2_role |
author author author author author author |
dc.contributor.author.fl_str_mv |
Larissa Tavares da Silva Angélica Maria Cupertino Lopes Marinho Nayara Santos Braga Thiago Rezende Dos Santos Mauro Henrique Nogueira Guimarães de Abreu Cristiane Meira Assunção Fernanda Moraes Ferreira |
dc.subject.por.fl_str_mv |
COVID-19 Health communication Health education Access to information Social networking |
topic |
COVID-19 Health communication Health education Access to information Social networking COVID-19 Comunicação em saúde Educação em saúde Acesso à informação Rede social |
dc.subject.other.pt_BR.fl_str_mv |
COVID-19 Comunicação em saúde Educação em saúde Acesso à informação Rede 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.issued.fl_str_mv |
2021 |
dc.date.accessioned.fl_str_mv |
2023-09-06T20:16:16Z |
dc.date.available.fl_str_mv |
2023-09-06T20:16:16Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/1843/58525 |
dc.identifier.doi.pt_BR.fl_str_mv |
https://doi.org/10.33448/rsd-v10i16.23797 |
dc.identifier.issn.pt_BR.fl_str_mv |
2525-3409 |
dc.identifier.orcid.pt_BR.fl_str_mv |
https://orcid.org/0000-0002-0961-0900 https://orcid.org/0000-0003-3107-0223 https://orcid.org/0000-0001-7391-0409 https://orcid.org/0000-0003-2244-2718 https://orcid.org/0000-0001-8794-5725 https://orcid.org/0000-0002-1464-7812 https://orcid.org/0000-0001-9400-1167 |
url |
https://doi.org/10.33448/rsd-v10i16.23797 http://hdl.handle.net/1843/58525 https://orcid.org/0000-0002-0961-0900 https://orcid.org/0000-0003-3107-0223 https://orcid.org/0000-0001-7391-0409 https://orcid.org/0000-0003-2244-2718 https://orcid.org/0000-0001-8794-5725 https://orcid.org/0000-0002-1464-7812 https://orcid.org/0000-0001-9400-1167 |
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2525-3409 |
dc.language.iso.fl_str_mv |
eng |
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eng |
dc.relation.ispartof.pt_BR.fl_str_mv |
Research, Society and Development |
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info:eu-repo/semantics/openAccess |
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openAccess |
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application/pdf |
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Universidade Federal de Minas Gerais |
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UFMG |
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Brasil |
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FAO - DEPARTAMENTO DE ODONTOLOGIA SOCIAL E PREVENTIVA FAO - DEPARTAMENTO DE ODONTOPEDIATRIA E ORTODONTIA ICX - DEPARTAMENTO DE ESTATÍSTICA |
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Universidade Federal de Minas Gerais |
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