The Prevalence and Severity Comparison of COVID-19 Disease in SAARC Affiliated Countries: Pattern Analysis during the First Wave in 2020

Detalhes bibliográficos
Autor(a) principal: Muyeed, Abdul
Data de Publicação: 2021
Outros Autores: Saha, Tushar Kanti, Shaharin, Rubya, Prodhan, Uzzal Kumar
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Journal of Health & Biological Sciences
Texto Completo: https://periodicos.unichristus.edu.br/jhbs/article/view/3679
Resumo: Objectives: This study aimed to explore the prevalence and severity of COVID-19 disease in SAARC affiliated countries and show the comparison by analyzing the patterns of infections, recoveries, and deaths among the countries. Methods: The data related to COVID-19 of SAARC affiliated countries were collected from Worldometer in which the dataset consists of daily confirmed, recovery, and death cases. To compare the prevalence and severity of COVID-19 among these countries, we consider three parameters such as case fatality rate (CFR), recovery-to-death ratio (RDR), and percent active case (PAC). Results: The highest daily CFR among the SAARC affiliated countries was in Bangladesh followed by Afghanistan, India, Sri Lanka, Pakistan, Nepal and the Maldives according to the maximum CFR of the countries until 24 October 2020. The highest RDR among the SAARC affiliated countries was in Nepal followed by the Maldives, Sri Lanka, India, Bangladesh, Pakistan, Afghanistan until 24 October. The most prevalent country according to infection per million people by COVID-19 among the SAARC affiliated countries is the Maldives followed by India, Nepal, Bangladesh, Pakistan, Afghanistan, Bhutan, and Sri Lanka as of October 24. The most death prevalent country per million people is India followed by the Maldives, Afghanistan, Bangladesh, Pakistan, Nepal, Sri Lanka, and no people died in Bhutan until October 24, 2020. Conclusion: This study shows that the severity of COVID-19 is high in the Maldives in terms of infections and India in terms of deaths per million in SAARC, so India is at high risk among the countries.
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spelling The Prevalence and Severity Comparison of COVID-19 Disease in SAARC Affiliated Countries: Pattern Analysis during the First Wave in 2020Health SciencesSAARC; COVID-19; Pandemic; Fatality; InfectionObjectives: This study aimed to explore the prevalence and severity of COVID-19 disease in SAARC affiliated countries and show the comparison by analyzing the patterns of infections, recoveries, and deaths among the countries. Methods: The data related to COVID-19 of SAARC affiliated countries were collected from Worldometer in which the dataset consists of daily confirmed, recovery, and death cases. To compare the prevalence and severity of COVID-19 among these countries, we consider three parameters such as case fatality rate (CFR), recovery-to-death ratio (RDR), and percent active case (PAC). Results: The highest daily CFR among the SAARC affiliated countries was in Bangladesh followed by Afghanistan, India, Sri Lanka, Pakistan, Nepal and the Maldives according to the maximum CFR of the countries until 24 October 2020. The highest RDR among the SAARC affiliated countries was in Nepal followed by the Maldives, Sri Lanka, India, Bangladesh, Pakistan, Afghanistan until 24 October. The most prevalent country according to infection per million people by COVID-19 among the SAARC affiliated countries is the Maldives followed by India, Nepal, Bangladesh, Pakistan, Afghanistan, Bhutan, and Sri Lanka as of October 24. The most death prevalent country per million people is India followed by the Maldives, Afghanistan, Bangladesh, Pakistan, Nepal, Sri Lanka, and no people died in Bhutan until October 24, 2020. Conclusion: This study shows that the severity of COVID-19 is high in the Maldives in terms of infections and India in terms of deaths per million in SAARC, so India is at high risk among the countries.Instituto para o Desenvolvimento da EducacaoMuyeed, AbdulSaha, Tushar KantiShaharin, RubyaProdhan, Uzzal Kumar2021-06-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionAvaliado por ParesPeer ReviewRevisado por paresapplication/pdfhttps://periodicos.unichristus.edu.br/jhbs/article/view/367910.12662/2317-3076jhbs.v9i1.3679.p1-7.2021Journal of Health & Biological Sciences; v. 9, n. 1 (2021): Journal of Health and Biological Sciences; 1-7Journal of Health & Biological Sciences; v. 9, n. 1 (2021): Journal of Health and Biological Sciences; 1-7Journal of Health and Biological Sciences; v. 9, n. 1 (2021): Journal of Health and Biological Sciences; 1-72317-30762317-308410.12662/2317-3076jhbs.v9i1.2021reponame:Journal of Health & Biological Sciencesinstname:Centro Universitário Christus (Unichristus)instacron:CHRISTUSenghttps://periodicos.unichristus.edu.br/jhbs/article/view/3679/1368https://periodicos.unichristus.edu.br/jhbs/article/downloadSuppFile/3679/1073https://periodicos.unichristus.edu.br/jhbs/article/downloadSuppFile/3679/1074https://periodicos.unichristus.edu.br/jhbs/article/downloadSuppFile/3679/1075https://periodicos.unichristus.edu.br/jhbs/article/downloadSuppFile/3679/1076https://periodicos.unichristus.edu.br/jhbs/article/downloadSuppFile/3679/1077Direitos autorais 2021 Journal of Health & Biological Scienceshttp://creativecommons.org/licenses/by-nc-sa/4.0info:eu-repo/semantics/openAccess2021-12-30T20:32:05Zoai:ojs.unichristus.emnuvens.com.br:article/3679Revistahttps://periodicos.unichristus.edu.br/jhbs/indexPRIhttps://periodicos.unichristus.edu.br/jhbs/oaisecretaria.jhbs@unichristus.edu.br || editor.jhbs@fchristus.edu.br2317-30762317-3084opendoar:2023-01-13T09:47:11.070660Journal of Health & Biological Sciences - Centro Universitário Christus (Unichristus)true
dc.title.none.fl_str_mv The Prevalence and Severity Comparison of COVID-19 Disease in SAARC Affiliated Countries: Pattern Analysis during the First Wave in 2020
title The Prevalence and Severity Comparison of COVID-19 Disease in SAARC Affiliated Countries: Pattern Analysis during the First Wave in 2020
spellingShingle The Prevalence and Severity Comparison of COVID-19 Disease in SAARC Affiliated Countries: Pattern Analysis during the First Wave in 2020
Muyeed, Abdul
Health Sciences
SAARC; COVID-19; Pandemic; Fatality; Infection
title_short The Prevalence and Severity Comparison of COVID-19 Disease in SAARC Affiliated Countries: Pattern Analysis during the First Wave in 2020
title_full The Prevalence and Severity Comparison of COVID-19 Disease in SAARC Affiliated Countries: Pattern Analysis during the First Wave in 2020
title_fullStr The Prevalence and Severity Comparison of COVID-19 Disease in SAARC Affiliated Countries: Pattern Analysis during the First Wave in 2020
title_full_unstemmed The Prevalence and Severity Comparison of COVID-19 Disease in SAARC Affiliated Countries: Pattern Analysis during the First Wave in 2020
title_sort The Prevalence and Severity Comparison of COVID-19 Disease in SAARC Affiliated Countries: Pattern Analysis during the First Wave in 2020
author Muyeed, Abdul
author_facet Muyeed, Abdul
Saha, Tushar Kanti
Shaharin, Rubya
Prodhan, Uzzal Kumar
author_role author
author2 Saha, Tushar Kanti
Shaharin, Rubya
Prodhan, Uzzal Kumar
author2_role author
author
author
dc.contributor.none.fl_str_mv
dc.contributor.author.fl_str_mv Muyeed, Abdul
Saha, Tushar Kanti
Shaharin, Rubya
Prodhan, Uzzal Kumar
dc.subject.none.fl_str_mv
dc.subject.por.fl_str_mv Health Sciences
SAARC; COVID-19; Pandemic; Fatality; Infection
topic Health Sciences
SAARC; COVID-19; Pandemic; Fatality; Infection
description Objectives: This study aimed to explore the prevalence and severity of COVID-19 disease in SAARC affiliated countries and show the comparison by analyzing the patterns of infections, recoveries, and deaths among the countries. Methods: The data related to COVID-19 of SAARC affiliated countries were collected from Worldometer in which the dataset consists of daily confirmed, recovery, and death cases. To compare the prevalence and severity of COVID-19 among these countries, we consider three parameters such as case fatality rate (CFR), recovery-to-death ratio (RDR), and percent active case (PAC). Results: The highest daily CFR among the SAARC affiliated countries was in Bangladesh followed by Afghanistan, India, Sri Lanka, Pakistan, Nepal and the Maldives according to the maximum CFR of the countries until 24 October 2020. The highest RDR among the SAARC affiliated countries was in Nepal followed by the Maldives, Sri Lanka, India, Bangladesh, Pakistan, Afghanistan until 24 October. The most prevalent country according to infection per million people by COVID-19 among the SAARC affiliated countries is the Maldives followed by India, Nepal, Bangladesh, Pakistan, Afghanistan, Bhutan, and Sri Lanka as of October 24. The most death prevalent country per million people is India followed by the Maldives, Afghanistan, Bangladesh, Pakistan, Nepal, Sri Lanka, and no people died in Bhutan until October 24, 2020. Conclusion: This study shows that the severity of COVID-19 is high in the Maldives in terms of infections and India in terms of deaths per million in SAARC, so India is at high risk among the countries.
publishDate 2021
dc.date.none.fl_str_mv 2021-06-07
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Avaliado por Pares
Peer Review
Revisado por pares
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://periodicos.unichristus.edu.br/jhbs/article/view/3679
10.12662/2317-3076jhbs.v9i1.3679.p1-7.2021
url https://periodicos.unichristus.edu.br/jhbs/article/view/3679
identifier_str_mv 10.12662/2317-3076jhbs.v9i1.3679.p1-7.2021
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://periodicos.unichristus.edu.br/jhbs/article/view/3679/1368
https://periodicos.unichristus.edu.br/jhbs/article/downloadSuppFile/3679/1073
https://periodicos.unichristus.edu.br/jhbs/article/downloadSuppFile/3679/1074
https://periodicos.unichristus.edu.br/jhbs/article/downloadSuppFile/3679/1075
https://periodicos.unichristus.edu.br/jhbs/article/downloadSuppFile/3679/1076
https://periodicos.unichristus.edu.br/jhbs/article/downloadSuppFile/3679/1077
dc.rights.driver.fl_str_mv Direitos autorais 2021 Journal of Health & Biological Sciences
http://creativecommons.org/licenses/by-nc-sa/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Direitos autorais 2021 Journal of Health & Biological Sciences
http://creativecommons.org/licenses/by-nc-sa/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.coverage.none.fl_str_mv


dc.publisher.none.fl_str_mv Instituto para o Desenvolvimento da Educacao
publisher.none.fl_str_mv Instituto para o Desenvolvimento da Educacao
dc.source.none.fl_str_mv Journal of Health & Biological Sciences; v. 9, n. 1 (2021): Journal of Health and Biological Sciences; 1-7
Journal of Health & Biological Sciences; v. 9, n. 1 (2021): Journal of Health and Biological Sciences; 1-7
Journal of Health and Biological Sciences; v. 9, n. 1 (2021): Journal of Health and Biological Sciences; 1-7
2317-3076
2317-3084
10.12662/2317-3076jhbs.v9i1.2021
reponame:Journal of Health & Biological Sciences
instname:Centro Universitário Christus (Unichristus)
instacron:CHRISTUS
instname_str Centro Universitário Christus (Unichristus)
instacron_str CHRISTUS
institution CHRISTUS
reponame_str Journal of Health & Biological Sciences
collection Journal of Health & Biological Sciences
repository.name.fl_str_mv Journal of Health & Biological Sciences - Centro Universitário Christus (Unichristus)
repository.mail.fl_str_mv secretaria.jhbs@unichristus.edu.br || editor.jhbs@fchristus.edu.br
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