دورية أكاديمية
أعرض في EDS

COVID-19 BR: A web portal for COVID-19 information in Brazil.

التفاصيل البيبلوغرافية
العنوان: COVID-19 BR: A web portal for COVID-19 information in Brazil.
المؤلفون: Carvalho I; Institute of Mathematical and Computer Sciences, University of Sao Paulo, Av Trabalhador Sao-Carlense 400, 13566590, Sao Carlos/SP, Brazil., Bernardi FA; Ribeirão Preto Medical School, University of Sao Paulo, Av Bandeirantes 3900, 14049900, Ribeirao Preto/SP, Brazil.; São Carlos School of Engineering, Av Trabalhador Sao-Carlense 400, 13566590, Sao Carlos/SP, Brazil., Neiva MB; Institute of Mathematical and Computer Sciences, University of Sao Paulo, Av Trabalhador Sao-Carlense 400, 13566590, Sao Carlos/SP, Brazil., Lima VC; Ribeirão Preto Medical School, University of Sao Paulo, Av Bandeirantes 3900, 14049900, Ribeirao Preto/SP, Brazil.; São Carlos School of Engineering, Av Trabalhador Sao-Carlense 400, 13566590, Sao Carlos/SP, Brazil., de Oliveira LL; Ribeirão Preto Medical School, University of Sao Paulo, Av Bandeirantes 3900, 14049900, Ribeirao Preto/SP, Brazil., Brandão Miyoshi NS; Ribeirão Preto Medical School, University of Sao Paulo, Av Bandeirantes 3900, 14049900, Ribeirao Preto/SP, Brazil., Michelin Sanches TL; Ribeirão Preto Medical School, University of Sao Paulo, Av Bandeirantes 3900, 14049900, Ribeirao Preto/SP, Brazil., Barbosa-Junior F; Ribeirão Preto Medical School, University of Sao Paulo, Av Bandeirantes 3900, 14049900, Ribeirao Preto/SP, Brazil., Crepaldi NY; Ribeirão Preto Medical School, University of Sao Paulo, Av Bandeirantes 3900, 14049900, Ribeirao Preto/SP, Brazil., Yamada DB; Ribeirão Preto Medical School, University of Sao Paulo, Av Bandeirantes 3900, 14049900, Ribeirao Preto/SP, Brazil., Alves D; Ribeirão Preto Medical School, University of Sao Paulo, Av Bandeirantes 3900, 14049900, Ribeirao Preto/SP, Brazil.
المصدر: Procedia computer science [Procedia Comput Sci] 2022; Vol. 196, pp. 525-532. Date of Electronic Publication: 2022 Jan 10.
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: Elsevier Country of Publication: Netherlands NLM ID: 101537771 Publication Model: Print-Electronic Cited Medium: Print ISSN: 1877-0509 (Print) NLM ISO Abbreviation: Procedia Comput Sci Subsets: PubMed not MEDLINE
أسماء مطبوعة: Original Publication: [Amsterdam] : Elsevier
مستخلص: Brazil is a large developing country that requires attention to regionalized behaviors regarding the dissemination of COVID-19. To deal with this complexity, the COVID-19 Brazil observatory was developed. The Portal aims to monitor and analyze data from different sources. Therefore, with a detailed audit, we centralized this information on the evolution of the disease, allowing for territorial and temporal monitoring. The daily publication of numbers about COVID-19 allowed anyone to follow the current scenario in several Brazilian cities. With about 1,7 million accesses, the Portal offers clarity and an easy understanding of the pandemic data in the country.
(© 2021 The Author(s). Published by Elsevier B.V.)
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فهرسة مساهمة: Keywords: COVID-19; Data Mining; Knowledge Discovery; Mathematical Models; Public Health
تواريخ الأحداث: Date Created: 20220117 Latest Revision: 20240405
رمز التحديث: 20240405
مُعرف محوري في PubMed: PMC8745935
DOI: 10.1016/j.procs.2021.12.045
PMID: 35035622
قاعدة البيانات: MEDLINE
الوصف
تدمد:1877-0509
DOI:10.1016/j.procs.2021.12.045