Suppr超能文献

全球新冠病毒传播解析:旅行人数是疫情大流行的主要驱动因素

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

作者信息

Ribeiro SÉrvio P, DÁttilo Wesley, Barbosa David S, Coura-Vital Wendel, Chagas Igor A S DAS, Dias Camila P, Silva Alcides V C DE Castro E, Morais Maria Helena F, GÓes-Neto AristÓteles, Azevedo Vasco A C, Fernandes Geraldo Wilson, Reis Alexandre B

机构信息

, Núcleo de Pesquisas em Ciências Biológicas/NUPEB, St. Três, 408-462, Bauxita, 35400-000 Ouro Preto, MG, Brazil.

Universidade Federal de Ouro Preto, Laboratory of Ecology of Diseases and Forests, Departamento de Biodiversidade, Evolução e Meio Ambiente, St. Quatro, 786, Bauxita, 35400-000 Ouro Preto, MG, Brazil.

出版信息

An Acad Bras Cienc. 2020 Sep 16;92(4):e20201139. doi: 10.1590/0001-3765202020201139. eCollection 2020.

Abstract

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.

摘要

严重急性呼吸综合征冠状病毒2(SARS-CoV-2)的传播及全球病例分布未遵循明确的生物地理、气候或文化趋势。相反,各国国际上最繁忙的城市往往受灾最严重,这表明新冠病毒早期传播呈现出一种基本的、数学上中性的模式。我们通过逐步回归检验了每次航班的乘客数量和国际边境数量是否能够解释全球新冠肺炎病例数。分析于2020年5月22日进行,在这一时期,尽管各地存在社区传播,但仍有人认为仍可检测到大流行初期的模式。抵达一个国家的乘客数量和国际边境数量显著解释了新冠肺炎病例数分布差异的49%,而乘客数量显著解释了每百万居民病例数数据差异的14.2%。生态中性理论可能解释了SARS-CoV-2早期传播的相当一部分情况,在下一次大流行之前确定预防性国际行动时应予以考虑。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验