Worldwide COVID-19 spreading explained : traveling numbers as a primary driver for the pandemic.

Detalhes bibliográficos
Autor(a) principal: Ribeiro, Sérvio Pontes
Data de Publicação: 2020
Outros Autores: 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
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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spelling 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)
instacron_str 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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