The COVID-19 epidemic in Brazil: how statistics education may contribute to unravel the reality behind the charts.
Saved in:
| Title: | The COVID-19 epidemic in Brazil: how statistics education may contribute to unravel the reality behind the charts. |
|---|---|
| Authors: | da Silva, Alexandre Sousa1 alexandre.silva@uniriotec.br, Barbosa, Maria Tereza Serrano1, de Souza Velasque, Luciane1, da Silveira Barroso Alves, Davi1, Magalhães, Marcos Nascimento2 |
| Source: | Educational Studies in Mathematics. Oct2021, Vol. 108 Issue 1/2, p269-289. 21p. |
| Subject Terms: | *Statistics education, *COVID-19 pandemic, *Mathematics education, *Mathematics teachers, Social responsibility, Humanitarianism |
| Abstract: | The world is now facing the most severe health, social, and economic event of the last hundred years, which has made the need to acquire statistical thinking to interpret the information disseminated on a daily basis by the media clear to society. This article proposes a discussion on the role that statistics education might play in supporting the acquisition of such knowledge, contributing to the development of critical citizens, aware of their social responsibility. In this context, we present examples of curves and other charts to demonstrate how to use the several levels defined by experts in reading and interpreting the charts. At a more advanced level, these examples will allow discussion on the impacts of this epidemic on the most vulnerable population in Brazil. The charts presented reveal a great regional inequality, suggesting that mortality due to the virus is distinguished by region and micro-region when considering access to hospital beds. The examples signpost ways for educators to be able to develop projects or research based on the discussion on the reality of the pandemic, the necessary public policies, and how political coordination grounded on science and on a humanitarian vision would have mitigated the Brazilian tragedy. [ABSTRACT FROM AUTHOR] |
| Copyright of Educational Studies in Mathematics is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Education Research Complete |
|
Full text is not displayed to guests.
Login for full access.
|
|
| FullText | Links: – Type: pdflink Text: Availability: 1 |
|---|---|
| Header | DbId: ehh DbLabel: Education Research Complete An: 153554717 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: The COVID-19 epidemic in Brazil: how statistics education may contribute to unravel the reality behind the charts. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22da+Silva%2C+Alexandre+Sousa%22">da Silva, Alexandre Sousa</searchLink><relatesTo>1</relatesTo><i> alexandre.silva@uniriotec.br</i><br /><searchLink fieldCode="AR" term="%22Barbosa%2C+Maria+Tereza+Serrano%22">Barbosa, Maria Tereza Serrano</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22de+Souza+Velasque%2C+Luciane%22">de Souza Velasque, Luciane</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22da+Silveira+Barroso+Alves%2C+Davi%22">da Silveira Barroso Alves, Davi</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Magalhães%2C+Marcos+Nascimento%22">Magalhães, Marcos Nascimento</searchLink><relatesTo>2</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Educational+Studies+in+Mathematics%22">Educational Studies in Mathematics</searchLink>. Oct2021, Vol. 108 Issue 1/2, p269-289. 21p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Statistics+education%22">Statistics education</searchLink><br />*<searchLink fieldCode="DE" term="%22COVID-19+pandemic%22">COVID-19 pandemic</searchLink><br />*<searchLink fieldCode="DE" term="%22Mathematics+education%22">Mathematics education</searchLink><br />*<searchLink fieldCode="DE" term="%22Mathematics+teachers%22">Mathematics teachers</searchLink><br /><searchLink fieldCode="DE" term="%22Social+responsibility%22">Social responsibility</searchLink><br /><searchLink fieldCode="DE" term="%22Humanitarianism%22">Humanitarianism</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The world is now facing the most severe health, social, and economic event of the last hundred years, which has made the need to acquire statistical thinking to interpret the information disseminated on a daily basis by the media clear to society. This article proposes a discussion on the role that statistics education might play in supporting the acquisition of such knowledge, contributing to the development of critical citizens, aware of their social responsibility. In this context, we present examples of curves and other charts to demonstrate how to use the several levels defined by experts in reading and interpreting the charts. At a more advanced level, these examples will allow discussion on the impacts of this epidemic on the most vulnerable population in Brazil. The charts presented reveal a great regional inequality, suggesting that mortality due to the virus is distinguished by region and micro-region when considering access to hospital beds. The examples signpost ways for educators to be able to develop projects or research based on the discussion on the reality of the pandemic, the necessary public policies, and how political coordination grounded on science and on a humanitarian vision would have mitigated the Brazilian tragedy. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Educational Studies in Mathematics is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=ehh&AN=153554717 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10649-021-10112-6 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 21 StartPage: 269 Subjects: – SubjectFull: Statistics education Type: general – SubjectFull: COVID-19 pandemic Type: general – SubjectFull: Mathematics education Type: general – SubjectFull: Mathematics teachers Type: general – SubjectFull: Social responsibility Type: general – SubjectFull: Humanitarianism Type: general Titles: – TitleFull: The COVID-19 epidemic in Brazil: how statistics education may contribute to unravel the reality behind the charts. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: da Silva, Alexandre Sousa – PersonEntity: Name: NameFull: Barbosa, Maria Tereza Serrano – PersonEntity: Name: NameFull: de Souza Velasque, Luciane – PersonEntity: Name: NameFull: da Silveira Barroso Alves, Davi – PersonEntity: Name: NameFull: Magalhães, Marcos Nascimento IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 10 Text: Oct2021 Type: published Y: 2021 Identifiers: – Type: issn-print Value: 00131954 Numbering: – Type: volume Value: 108 – Type: issue Value: 1/2 Titles: – TitleFull: Educational Studies in Mathematics Type: main |
| ResultId | 1 |
