Worldwide COVID-19 spreading explained : traveling numbers as a primary driver for the pandemic.
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFOP |
Texto Completo: | http://www.repositorio.ufop.br/jspui/handle/123456789/13804 http://dx.doi.org/10.1590/0001-3765202020201139 |
Resumo: | The spread of SARS-CoV-2 and the distribution of cases worldwide followed no clear biogeographic, climatic, or cultural trend. Conversely, the internationally busiest cities in all countries tended to be the hardest hit, suggesting a basic, mathematically neutral pattern of the new coronavirus early dissemination. We tested whether the number of flight passengers per time and the number of international frontiers could explain the number of cases of COVID-19 worldwide by a stepwise regression. Analysis were taken by 22 May 2020, a period when one would claim that early patterns of the pandemic establishment were still detectable, despite of community transmission in various places. The number of passengers arriving in a country and the number of international borders explained significantly 49% of the variance in the distribution of the number of cases of COVID-19, and number of passengers explained significantly 14.2% of data variance for cases per million inhabitants. Ecological neutral theory may explain a considerable part of the early distribution of SARS-CoV-2 and should be taken into consideration to define preventive international actions before a next pandemic. |
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Worldwide COVID-19 spreading explained : traveling numbers as a primary driver for the pandemic.Virus disseminationEmergent diseasesAir transportationThe spread of SARS-CoV-2 and the distribution of cases worldwide followed no clear biogeographic, climatic, or cultural trend. Conversely, the internationally busiest cities in all countries tended to be the hardest hit, suggesting a basic, mathematically neutral pattern of the new coronavirus early dissemination. We tested whether the number of flight passengers per time and the number of international frontiers could explain the number of cases of COVID-19 worldwide by a stepwise regression. Analysis were taken by 22 May 2020, a period when one would claim that early patterns of the pandemic establishment were still detectable, despite of community transmission in various places. The number of passengers arriving in a country and the number of international borders explained significantly 49% of the variance in the distribution of the number of cases of COVID-19, and number of passengers explained significantly 14.2% of data variance for cases per million inhabitants. Ecological neutral theory may explain a considerable part of the early distribution of SARS-CoV-2 and should be taken into consideration to define preventive international actions before a next pandemic.2021-09-27T14:12:08Z2021-09-27T14:12:08Z2020info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfRIBEIRO, S. P. et al. Worldwide COVID-19 spreading explained: traveling numbers as a primary driver for the pandemic. Anais da Academia Brasileira de Ciencias, v. 92, n. 4, artigo e20201139, 2020. Disponível em: <https://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652020000700701>. Acesso em: 12 maio 2021.1678-2690http://www.repositorio.ufop.br/jspui/handle/123456789/13804http://dx.doi.org/10.1590/0001-3765202020201139Os trabalhos publicados no periódico Anais da Academia Brasileira de Ciências, exceto onde identificado, está sob uma licença Creative Commons que permite copiar, distribuir e transmitir o trabalho, desde que sejam citados o autor e o licenciante. Fonte: Anais da Academia Brasileira de Ciências <http://www.scielo.br/scielo.php?script=sci_serial&pid=0001-3765&lng=en&nrm=iso>. Acesso em: 23 jan. 2020.info:eu-repo/semantics/openAccessRibeiro, Sérvio PontesCruz, Wesley Francisco Dáttilo daBarbosa, David SoeiroVital, Wendel CouraChagas, Igor Aparecido Santana dasSilva, Alcides Volpato Carneiro de Castro eMorais, Maria Helena FrancoGóes Neto, AristótelesAzevedo, Vasco Ariston de CarvalhoFernandes, Geraldo Wilson AfonsoReis, Alexandre Barbosaengreponame:Repositório Institucional da UFOPinstname:Universidade Federal de Ouro Preto (UFOP)instacron:UFOP2021-09-27T14:12:16Zoai:repositorio.ufop.br:123456789/13804Repositório InstitucionalPUBhttp://www.repositorio.ufop.br/oai/requestrepositorio@ufop.edu.bropendoar:32332021-09-27T14:12:16Repositório Institucional da UFOP - Universidade Federal de Ouro Preto (UFOP)false |
dc.title.none.fl_str_mv |
Worldwide COVID-19 spreading explained : traveling numbers as a primary driver for the pandemic. |
title |
Worldwide COVID-19 spreading explained : traveling numbers as a primary driver for the pandemic. |
spellingShingle |
Worldwide COVID-19 spreading explained : traveling numbers as a primary driver for the pandemic. Ribeiro, Sérvio Pontes Virus dissemination Emergent diseases Air transportation |
title_short |
Worldwide COVID-19 spreading explained : traveling numbers as a primary driver for the pandemic. |
title_full |
Worldwide COVID-19 spreading explained : traveling numbers as a primary driver for the pandemic. |
title_fullStr |
Worldwide COVID-19 spreading explained : traveling numbers as a primary driver for the pandemic. |
title_full_unstemmed |
Worldwide COVID-19 spreading explained : traveling numbers as a primary driver for the pandemic. |
title_sort |
Worldwide COVID-19 spreading explained : traveling numbers as a primary driver for the pandemic. |
author |
Ribeiro, Sérvio Pontes |
author_facet |
Ribeiro, Sérvio Pontes Cruz, Wesley Francisco Dáttilo da Barbosa, David Soeiro Vital, Wendel Coura Chagas, Igor Aparecido Santana das Silva, Alcides Volpato Carneiro de Castro e Morais, Maria Helena Franco Góes Neto, Aristóteles Azevedo, Vasco Ariston de Carvalho Fernandes, Geraldo Wilson Afonso Reis, Alexandre Barbosa |
author_role |
author |
author2 |
Cruz, Wesley Francisco Dáttilo da Barbosa, David Soeiro Vital, Wendel Coura Chagas, Igor Aparecido Santana das Silva, Alcides Volpato Carneiro de Castro e Morais, Maria Helena Franco Góes Neto, Aristóteles Azevedo, Vasco Ariston de Carvalho Fernandes, Geraldo Wilson Afonso Reis, Alexandre Barbosa |
author2_role |
author author author author author author author author author author |
dc.contributor.author.fl_str_mv |
Ribeiro, Sérvio Pontes Cruz, Wesley Francisco Dáttilo da Barbosa, David Soeiro Vital, Wendel Coura Chagas, Igor Aparecido Santana das Silva, Alcides Volpato Carneiro de Castro e Morais, Maria Helena Franco Góes Neto, Aristóteles Azevedo, Vasco Ariston de Carvalho Fernandes, Geraldo Wilson Afonso Reis, Alexandre Barbosa |
dc.subject.por.fl_str_mv |
Virus dissemination Emergent diseases Air transportation |
topic |
Virus dissemination Emergent diseases Air transportation |
description |
The spread of SARS-CoV-2 and the distribution of cases worldwide followed no clear biogeographic, climatic, or cultural trend. Conversely, the internationally busiest cities in all countries tended to be the hardest hit, suggesting a basic, mathematically neutral pattern of the new coronavirus early dissemination. We tested whether the number of flight passengers per time and the number of international frontiers could explain the number of cases of COVID-19 worldwide by a stepwise regression. Analysis were taken by 22 May 2020, a period when one would claim that early patterns of the pandemic establishment were still detectable, despite of community transmission in various places. The number of passengers arriving in a country and the number of international borders explained significantly 49% of the variance in the distribution of the number of cases of COVID-19, and number of passengers explained significantly 14.2% of data variance for cases per million inhabitants. Ecological neutral theory may explain a considerable part of the early distribution of SARS-CoV-2 and should be taken into consideration to define preventive international actions before a next pandemic. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020 2021-09-27T14:12:08Z 2021-09-27T14:12:08Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
RIBEIRO, S. P. et al. Worldwide COVID-19 spreading explained: traveling numbers as a primary driver for the pandemic. Anais da Academia Brasileira de Ciencias, v. 92, n. 4, artigo e20201139, 2020. Disponível em: <https://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652020000700701>. Acesso em: 12 maio 2021. 1678-2690 http://www.repositorio.ufop.br/jspui/handle/123456789/13804 http://dx.doi.org/10.1590/0001-3765202020201139 |
identifier_str_mv |
RIBEIRO, S. P. et al. Worldwide COVID-19 spreading explained: traveling numbers as a primary driver for the pandemic. Anais da Academia Brasileira de Ciencias, v. 92, n. 4, artigo e20201139, 2020. Disponível em: <https://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652020000700701>. Acesso em: 12 maio 2021. 1678-2690 |
url |
http://www.repositorio.ufop.br/jspui/handle/123456789/13804 http://dx.doi.org/10.1590/0001-3765202020201139 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
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.source.none.fl_str_mv |
reponame:Repositório Institucional da UFOP instname:Universidade Federal de Ouro Preto (UFOP) instacron:UFOP |
instname_str |
Universidade Federal de Ouro Preto (UFOP) |
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UFOP |
institution |
UFOP |
reponame_str |
Repositório Institucional da UFOP |
collection |
Repositório Institucional da UFOP |
repository.name.fl_str_mv |
Repositório Institucional da UFOP - Universidade Federal de Ouro Preto (UFOP) |
repository.mail.fl_str_mv |
repositorio@ufop.edu.br |
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