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

Sérvio Pontes RibeiroWesley DÁttiloDavid Soeiro BarbosaWendel Coura-VitalIgor A S DAS ChagasCamila P DiasAlcides V C DE Castro E SilvaMaria Helena Franco MoraisAristóteles Goes-NetoVasco Ariston de Carvalho AzevedoGeraldo Wilson FernandesAlexandre Barbosa Reis
Published in: Anais da Academia Brasileira de Ciencias (2020)
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.
Keyphrases
  • sars cov
  • coronavirus disease
  • respiratory syndrome coronavirus
  • healthcare
  • mental health
  • risk assessment
  • machine learning
  • climate change
  • deep learning