The challenges of the COVID-19 pandemic in geographic science

Detalhes bibliográficos
Autor(a) principal: Benitez-Valerio, Violeta Shaid
Data de Publicação: 2024
Outros Autores: Juárez, Marcela Virginia Santana
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Brazilian Journal of Health Review
Texto Completo: https://ojs.brazilianjournals.com.br/ojs/index.php/BJHR/article/view/68623
Resumo: The COVID-19 pandemic has impacted geographers and specialists of other areas, driving them to generate knowledge aimed to explain and find solutions to the health crisis that emerged in March 2020. Within the field of geography, quantitative methods, and geotechnologies have been employed to collect measurable data which prove useful explanation and the logical relationship between variables, verifying hypotheses related to COVID-19 contagion and mortality cases. Health geography, as a disciplinary branch, has investigated the spatial-temporal distribution and dynamics of diseases, seeking to understand the processes explaining the spatial structure of them during a pandemic. In this context, a case of study, Mexico City, seeks to address questions from a health geography perspective, such as: What were the causes behind the high levels of pandemic contagion? Which environmental, social, and health factors in time and space relate and contribute to a greater impact of the pandemic? How do these factors interact with each other, and how have they influenced the increase or decrease in contagion and mortality cases? What are the short, medium, and long-term scenarios of COVID-19? To address these inquiries, spatial analysis methods and geotechnological techniques, approached holistically and have efficiently supported the identification of COVID-19 contagion risk zones and their specific characteristics. These insights prove invaluable information for spatial decision-making in comprehensive planning and territorial management.
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spelling The challenges of the COVID-19 pandemic in geographic sciencehealth geographyspatial-temporal dynamicsCOVID-19Geo Artificial IntelligenceGeographic Information Systems (GIS)The COVID-19 pandemic has impacted geographers and specialists of other areas, driving them to generate knowledge aimed to explain and find solutions to the health crisis that emerged in March 2020. Within the field of geography, quantitative methods, and geotechnologies have been employed to collect measurable data which prove useful explanation and the logical relationship between variables, verifying hypotheses related to COVID-19 contagion and mortality cases. Health geography, as a disciplinary branch, has investigated the spatial-temporal distribution and dynamics of diseases, seeking to understand the processes explaining the spatial structure of them during a pandemic. In this context, a case of study, Mexico City, seeks to address questions from a health geography perspective, such as: What were the causes behind the high levels of pandemic contagion? Which environmental, social, and health factors in time and space relate and contribute to a greater impact of the pandemic? How do these factors interact with each other, and how have they influenced the increase or decrease in contagion and mortality cases? What are the short, medium, and long-term scenarios of COVID-19? To address these inquiries, spatial analysis methods and geotechnological techniques, approached holistically and have efficiently supported the identification of COVID-19 contagion risk zones and their specific characteristics. These insights prove invaluable information for spatial decision-making in comprehensive planning and territorial management.Brazilian Journals Publicações de Periódicos e Editora Ltda.2024-04-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://ojs.brazilianjournals.com.br/ojs/index.php/BJHR/article/view/6862310.34119/bjhrv7n2-278Brazilian Journal of Health Review; Vol. 7 No. 2 (2024); e68623Brazilian Journal of Health Review; Vol. 7 Núm. 2 (2024); e68623Brazilian Journal of Health Review; v. 7 n. 2 (2024); e686232595-6825reponame:Brazilian Journal of Health Reviewinstname:Federação das Indústrias do Estado do Paraná (FIEP)instacron:BJRHenghttps://ojs.brazilianjournals.com.br/ojs/index.php/BJHR/article/view/68623/48681Benitez-Valerio, Violeta ShaidJuárez, Marcela Virginia Santanainfo:eu-repo/semantics/openAccess2024-04-05T11:41:21Zoai:ojs2.ojs.brazilianjournals.com.br:article/68623Revistahttp://www.brazilianjournals.com/index.php/BJHR/indexPRIhttps://ojs.brazilianjournals.com.br/ojs/index.php/BJHR/oai|| brazilianjhr@gmail.com2595-68252595-6825opendoar:2024-04-05T11:41:21Brazilian Journal of Health Review - Federação das Indústrias do Estado do Paraná (FIEP)false
dc.title.none.fl_str_mv The challenges of the COVID-19 pandemic in geographic science
title The challenges of the COVID-19 pandemic in geographic science
spellingShingle The challenges of the COVID-19 pandemic in geographic science
Benitez-Valerio, Violeta Shaid
health geography
spatial-temporal dynamics
COVID-19
Geo Artificial Intelligence
Geographic Information Systems (GIS)
title_short The challenges of the COVID-19 pandemic in geographic science
title_full The challenges of the COVID-19 pandemic in geographic science
title_fullStr The challenges of the COVID-19 pandemic in geographic science
title_full_unstemmed The challenges of the COVID-19 pandemic in geographic science
title_sort The challenges of the COVID-19 pandemic in geographic science
author Benitez-Valerio, Violeta Shaid
author_facet Benitez-Valerio, Violeta Shaid
Juárez, Marcela Virginia Santana
author_role author
author2 Juárez, Marcela Virginia Santana
author2_role author
dc.contributor.author.fl_str_mv Benitez-Valerio, Violeta Shaid
Juárez, Marcela Virginia Santana
dc.subject.por.fl_str_mv health geography
spatial-temporal dynamics
COVID-19
Geo Artificial Intelligence
Geographic Information Systems (GIS)
topic health geography
spatial-temporal dynamics
COVID-19
Geo Artificial Intelligence
Geographic Information Systems (GIS)
description The COVID-19 pandemic has impacted geographers and specialists of other areas, driving them to generate knowledge aimed to explain and find solutions to the health crisis that emerged in March 2020. Within the field of geography, quantitative methods, and geotechnologies have been employed to collect measurable data which prove useful explanation and the logical relationship between variables, verifying hypotheses related to COVID-19 contagion and mortality cases. Health geography, as a disciplinary branch, has investigated the spatial-temporal distribution and dynamics of diseases, seeking to understand the processes explaining the spatial structure of them during a pandemic. In this context, a case of study, Mexico City, seeks to address questions from a health geography perspective, such as: What were the causes behind the high levels of pandemic contagion? Which environmental, social, and health factors in time and space relate and contribute to a greater impact of the pandemic? How do these factors interact with each other, and how have they influenced the increase or decrease in contagion and mortality cases? What are the short, medium, and long-term scenarios of COVID-19? To address these inquiries, spatial analysis methods and geotechnological techniques, approached holistically and have efficiently supported the identification of COVID-19 contagion risk zones and their specific characteristics. These insights prove invaluable information for spatial decision-making in comprehensive planning and territorial management.
publishDate 2024
dc.date.none.fl_str_mv 2024-04-05
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://ojs.brazilianjournals.com.br/ojs/index.php/BJHR/article/view/68623
10.34119/bjhrv7n2-278
url https://ojs.brazilianjournals.com.br/ojs/index.php/BJHR/article/view/68623
identifier_str_mv 10.34119/bjhrv7n2-278
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://ojs.brazilianjournals.com.br/ojs/index.php/BJHR/article/view/68623/48681
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Brazilian Journals Publicações de Periódicos e Editora Ltda.
publisher.none.fl_str_mv Brazilian Journals Publicações de Periódicos e Editora Ltda.
dc.source.none.fl_str_mv Brazilian Journal of Health Review; Vol. 7 No. 2 (2024); e68623
Brazilian Journal of Health Review; Vol. 7 Núm. 2 (2024); e68623
Brazilian Journal of Health Review; v. 7 n. 2 (2024); e68623
2595-6825
reponame:Brazilian Journal of Health Review
instname:Federação das Indústrias do Estado do Paraná (FIEP)
instacron:BJRH
instname_str Federação das Indústrias do Estado do Paraná (FIEP)
instacron_str BJRH
institution BJRH
reponame_str Brazilian Journal of Health Review
collection Brazilian Journal of Health Review
repository.name.fl_str_mv Brazilian Journal of Health Review - Federação das Indústrias do Estado do Paraná (FIEP)
repository.mail.fl_str_mv || brazilianjhr@gmail.com
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