Obtaining Online (https://covid-19.ufsj.tech) the Number of Municipal Beds Demanded by covid-19: science popularization and support for public policies

Authors

DOI:

https://doi.org/10.9771/cp.v13i4.37135

Keywords:

SARS-CoV-2, Coronavirus Disease, Brazil , Hospital System.

Abstract

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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Author Biographies

Anderson Oliveira Latini, Federal University of São João del-Rei, São João del-Rei, MG, Brazil

Zootechnician from the Federal University of Viçosa (1997), Master in Ecology from the Federal University of Minas Gerais (2001) and Doctor in Ecology from the State University of Campinas (2005). He worked at the State Environmental Foundation - MG, at the Centro Universitário do Leste de Minas Gerais, at the Federal Center for Technological Education of Minas Gerais and is currently a professor at the Federal University of São João del-Rei. Develops research, extension and technological development projects with Usiminas, with CENIBRA, with Arcelor Mittal (CAF-Santa Bárbara), with EMBRAPA, with VALE with private funding and/or by funding agencies such as CNPq and FAPEMIG . He works as a professor in the Postgraduate Program in Intellectual Property and Technology Transfer for Innovation.

Celso Luiz Souza, Federal Institute-Southeast, Campus São João del-Rei, São João del-Rei, MG, Brazil

He holds a degree in Computer Science from the University Center of Belo Horizonte (2009), a Master's degree in Mathematical and Computational Modeling from the Federal Center for Technological Education of Minas Gerais (2012) and a PhD in Mathematical and Computational Modeling from the Federal Center for Technological Education of Minas Gerais. (2018). He is currently a professor of basic, technical and technological education at the Federal Institute of the Southeast of Minas Gerais. Has experience in Computer Science, with emphasis on Computer Science, working mainly on the following topics: information retrieval, modeling, video retrieval, videos, video indexing, keyframes and usability.

Daniela Chaves Resende, Federal University of São João del-Rei, São João del-Rei, MG, Brazil

She holds a degree in Biological Sciences from the Federal University of Viçosa (1998), a Master's degree in Ecology, Conservation and Wildlife Management from the Federal University of Minas Gerais (2001) and a PhD in Entomology from the Federal University of Viçosa (2005). She was a collaborating researcher at Embrapa Corn and Sorghum and a professor at Faculdade Promove - Sete Lagoas. He has experience in the field of Ecology, working in the lines of Insect Ecology, Aquatic Ecology and Environmental Perception.

Darlinton Barbosa Feres Carvalho, Federal University of São João del-Rei, São João del-Rei, MG, Brazil

Doctor and Master in Computer Science from the Pontifical Catholic University of Rio de Janeiro (PUC-Rio) and Bachelor in Computer Science from the Federal University of Ouro Preto (UFOP). He is currently a professor at the Department of Computer Science (DCOMP) at the Federal University of São João del Rei (UFSJ). He has experience in different market segments. He worked at Siemens Corporate Research (Princeton-USA), at the National Education and Research Network (RNP) and Automatos (Rio de Janeiro) and at the Ministry of Education (Brasília).

Carla Fabiana Gouvêa Lopes, Federal Institute-Southeast, Campus São João del-Rei, São João del-Rei, MG, Brazil

He holds a degree in Technology in Business Informatics from Universidade Presidente Antônio Carlos (2002), a degree in Licentiate from the Federal Institute of Education, Science and Technology. from the Southeast of Minas Gerais (2008) and a Master's student in Education at the Universidad Americana - Asuncion - PY. She is currently a professor at the Federal Institute of Education, Science and Technology. of the Southeast of Minas Gerais campus São João del Rei. Has experience in Computer Science, with emphasis on Computer Systems and published articles in Distance Education and computational tools.

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Published

2020-07-12

How to Cite

Latini, A. O., Souza, C. L., Resende, D. C., Carvalho, D. B. F., & Lopes, C. F. G. (2020). Obtaining Online (https://covid-19.ufsj.tech) the Number of Municipal Beds Demanded by covid-19: science popularization and support for public policies. Cadernos De Prospecção, 13(4), 907. https://doi.org/10.9771/cp.v13i4.37135

Issue

Section

Coronavirus (SARS-COV-2) e COVID-19