The Prevalence and Severity Comparison of COVID-19 Disease in SAARC Affiliated Countries: Pattern Analysis during the First Wave in 2020
Autor(a) principal: | |
---|---|
Data de Publicação: | 2021 |
Outros Autores: | , , |
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. |
id |
CHRISTUS-1_10bdf207e968a23996cb35c23069c03d |
---|---|
oai_identifier_str |
oai:ojs.unichristus.emnuvens.com.br:article/3679 |
network_acronym_str |
CHRISTUS-1 |
network_name_str |
Journal of Health & Biological Sciences |
repository_id_str |
|
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 |
_version_ |
1797052855248486400 |