Obtaining Online (https://covid-19.ufsj.tech) the Number of Municipal Beds Demanded by covid-19: science popularization and support for public policies
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Data de Publicação: | 2020 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Cadernos de Prospecção (Online) |
Texto Completo: | https://periodicos.ufba.br/index.php/nit/article/view/37135 |
Resumo: | Since the beginning of 2020, the COVID-19 pandemic has mobilized scientists worldwide. This research used the Imperial College London mathematical model to develop an information system with demographic data from all Brazilian municipalities in order to inform the number of beds demanded in different isolation scenarios, early and late and publication in site https://covid-19.ufsj.tech permitting easily access by ordinary citizens and decision makers, helping in science popularization and information’s production to deal with COVID-19 pandemic. After three months since site publication, 2,600 users of a wide age group and 282 municipalities made 8,700 consultations for the number of beds in published site. On average, users made 3.4 consultations in 2.3 minutes. The information available and the ease of obtaining it allow to classify the site as a timely tool for science’s divulgation and also to public policies’ support, since ordinary citizens and decision makers can better understand some of the consequences of different decisions about social isolation during COVID-19 pandemic. |
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Obtaining Online (https://covid-19.ufsj.tech) the Number of Municipal Beds Demanded by covid-19: science popularization and support for public policiesObtenção On-line (https://covid-19.ufsj.tech) do Número de Leitos Municipais Demandados por COVID-19: popularização da ciência e apoio a políticas públicasSARS-CoV-2Doença de coronavírusBrasilFerramenta on-lineSistema hospitalar.SARS-CoV-2Coronavirus DiseaseBrazil Hospital System.Since the beginning of 2020, the COVID-19 pandemic has mobilized scientists worldwide. This research used the Imperial College London mathematical model to develop an information system with demographic data from all Brazilian municipalities in order to inform the number of beds demanded in different isolation scenarios, early and late and publication in site https://covid-19.ufsj.tech permitting easily access by ordinary citizens and decision makers, helping in science popularization and information’s production to deal with COVID-19 pandemic. After three months since site publication, 2,600 users of a wide age group and 282 municipalities made 8,700 consultations for the number of beds in published site. On average, users made 3.4 consultations in 2.3 minutes. The information available and the ease of obtaining it allow to classify the site as a timely tool for science’s divulgation and also to public policies’ support, since ordinary citizens and decision makers can better understand some of the consequences of different decisions about social isolation during COVID-19 pandemic.Desde o final de 2019, a pandemia de COVID-19 tem demandado trabalho de cientistas em todo o mundo. Esta pesquisa usou o modelo matemático do Imperial College London para desenvolver um sistema de informações com dados demográficos dos 5.570 municípios brasileiros para a prospecção do número de leitos em diferentes cenários de isolamento, precoce e tardio, e publicação no site https://covid-19.ufsj.tech, permitindo o fácil acesso por pessoas comuns e por tomadores de decisão, com o intuito de auxiliar na popularização da ciência e na produção de informações para o combate à pandemia de COVID-19. Em três meses de publicação do site, 2,6 mil usuários de ampla faixa etária e de 282 municípios fizeram 8,7 mil consultas pelo número de leitos em municípios. Em média, um usuário fez 3,4 consultas no tempo de 2,3 minutos. A informação disponibilizada e a facilidade de sua obtenção permitem classificar o site como ferramenta oportuna de divulgação de ciência e também de apoio a políticas públicas, já que cidadãos comuns e tomadores de decisão podem compreender melhor algumas das consequências de diferentes decisões acerca do isolamento social durante a pandemia.Universidade Federal da Bahia2020-07-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionProspecção; COVID-19application/pdfhttps://periodicos.ufba.br/index.php/nit/article/view/3713510.9771/cp.v13i4.37135Cadernos de Prospecção; Vol. 13 No. 4 (2020); 907Cadernos de Prospecção; v. 13 n. 4 (2020); 9072317-00261983-1358reponame:Cadernos de Prospecção (Online)instname:Universidade Federal da Bahia (UFBA)instacron:UFBAporhttps://periodicos.ufba.br/index.php/nit/article/view/37135/21577Copyright (c) 2020 Cadernos de Prospecçãohttps://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccessLatini, Anderson OliveiraSouza, Celso LuizResende, Daniela ChavesCarvalho, Darlinton Barbosa FeresLopes, Carla Fabiana Gouvêa2020-07-12T18:33:55Zoai:ojs.periodicos.ufba.br:article/37135Revistahttps://periodicos.ufba.br/index.php/nitPUBhttps://periodicos.ufba.br/index.php/nit/oaicadernosdeprospeccao@gmail.com || maliceribeiro@yahoo.com.br || cadernosdeprospeccao@gmail.com || saionaraluna@gmail.com2317-00261983-1358opendoar:2020-07-12T18:33:55Cadernos de Prospecção (Online) - Universidade Federal da Bahia (UFBA)false |
dc.title.none.fl_str_mv |
Obtaining Online (https://covid-19.ufsj.tech) the Number of Municipal Beds Demanded by covid-19: science popularization and support for public policies Obtenção On-line (https://covid-19.ufsj.tech) do Número de Leitos Municipais Demandados por COVID-19: popularização da ciência e apoio a políticas públicas |
title |
Obtaining Online (https://covid-19.ufsj.tech) the Number of Municipal Beds Demanded by covid-19: science popularization and support for public policies |
spellingShingle |
Obtaining Online (https://covid-19.ufsj.tech) the Number of Municipal Beds Demanded by covid-19: science popularization and support for public policies Latini, Anderson Oliveira SARS-CoV-2 Doença de coronavírus Brasil Ferramenta on-line Sistema hospitalar. SARS-CoV-2 Coronavirus Disease Brazil Hospital System. |
title_short |
Obtaining Online (https://covid-19.ufsj.tech) the Number of Municipal Beds Demanded by covid-19: science popularization and support for public policies |
title_full |
Obtaining Online (https://covid-19.ufsj.tech) the Number of Municipal Beds Demanded by covid-19: science popularization and support for public policies |
title_fullStr |
Obtaining Online (https://covid-19.ufsj.tech) the Number of Municipal Beds Demanded by covid-19: science popularization and support for public policies |
title_full_unstemmed |
Obtaining Online (https://covid-19.ufsj.tech) the Number of Municipal Beds Demanded by covid-19: science popularization and support for public policies |
title_sort |
Obtaining Online (https://covid-19.ufsj.tech) the Number of Municipal Beds Demanded by covid-19: science popularization and support for public policies |
author |
Latini, Anderson Oliveira |
author_facet |
Latini, Anderson Oliveira Souza, Celso Luiz Resende, Daniela Chaves Carvalho, Darlinton Barbosa Feres Lopes, Carla Fabiana Gouvêa |
author_role |
author |
author2 |
Souza, Celso Luiz Resende, Daniela Chaves Carvalho, Darlinton Barbosa Feres Lopes, Carla Fabiana Gouvêa |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Latini, Anderson Oliveira Souza, Celso Luiz Resende, Daniela Chaves Carvalho, Darlinton Barbosa Feres Lopes, Carla Fabiana Gouvêa |
dc.subject.por.fl_str_mv |
SARS-CoV-2 Doença de coronavírus Brasil Ferramenta on-line Sistema hospitalar. SARS-CoV-2 Coronavirus Disease Brazil Hospital System. |
topic |
SARS-CoV-2 Doença de coronavírus Brasil Ferramenta on-line Sistema hospitalar. SARS-CoV-2 Coronavirus Disease Brazil Hospital System. |
description |
Since the beginning of 2020, the COVID-19 pandemic has mobilized scientists worldwide. This research used the Imperial College London mathematical model to develop an information system with demographic data from all Brazilian municipalities in order to inform the number of beds demanded in different isolation scenarios, early and late and publication in site https://covid-19.ufsj.tech permitting easily access by ordinary citizens and decision makers, helping in science popularization and information’s production to deal with COVID-19 pandemic. After three months since site publication, 2,600 users of a wide age group and 282 municipalities made 8,700 consultations for the number of beds in published site. On average, users made 3.4 consultations in 2.3 minutes. The information available and the ease of obtaining it allow to classify the site as a timely tool for science’s divulgation and also to public policies’ support, since ordinary citizens and decision makers can better understand some of the consequences of different decisions about social isolation during COVID-19 pandemic. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-07-12 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Prospecção; COVID-19 |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://periodicos.ufba.br/index.php/nit/article/view/37135 10.9771/cp.v13i4.37135 |
url |
https://periodicos.ufba.br/index.php/nit/article/view/37135 |
identifier_str_mv |
10.9771/cp.v13i4.37135 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://periodicos.ufba.br/index.php/nit/article/view/37135/21577 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2020 Cadernos de Prospecção https://creativecommons.org/licenses/by-nc/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2020 Cadernos de Prospecção https://creativecommons.org/licenses/by-nc/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Federal da Bahia |
publisher.none.fl_str_mv |
Universidade Federal da Bahia |
dc.source.none.fl_str_mv |
Cadernos de Prospecção; Vol. 13 No. 4 (2020); 907 Cadernos de Prospecção; v. 13 n. 4 (2020); 907 2317-0026 1983-1358 reponame:Cadernos de Prospecção (Online) instname:Universidade Federal da Bahia (UFBA) instacron:UFBA |
instname_str |
Universidade Federal da Bahia (UFBA) |
instacron_str |
UFBA |
institution |
UFBA |
reponame_str |
Cadernos de Prospecção (Online) |
collection |
Cadernos de Prospecção (Online) |
repository.name.fl_str_mv |
Cadernos de Prospecção (Online) - Universidade Federal da Bahia (UFBA) |
repository.mail.fl_str_mv |
cadernosdeprospeccao@gmail.com || maliceribeiro@yahoo.com.br || cadernosdeprospeccao@gmail.com || saionaraluna@gmail.com |
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1799319847885078528 |