Literature DB >> 33094347

Uncovering two phases of early intercontinental COVID-19 transmission dynamics.

Jing Yang1, Juan Li2, Shengjie Lai3, Corrine W Ruktanonchai3,4, Weijia Xing2, Alessandra Carioli3, Peihan Wang2, Nick W Ruktanonchai3,4, Ruiyun Li5, Jessica R Floyd3, Liang Wang1, Yuhai Bi1,6, Weifeng Shi2, Andrew J Tatem3.   

Abstract

BACKGROUND: The COVID-19 pandemic has posed an ongoing global crisis, but how the virus spread across the world remains poorly understood. This is of vital importance for informing current and future pandemic response strategies.
METHODS: We performed two independent analyses, travel network-based epidemiological modelling and Bayesian phylogeographic inference, to investigate the intercontinental spread of COVID-19.
RESULTS: Both approaches revealed two distinct phases of COVID-19 spread by the end of March 2020. In the first phase, COVID-19 largely circulated in China during mid-to-late January 2020 and was interrupted by containment measures in China. In the second and predominant phase extending from late February to mid-March, unrestricted movements between countries outside of China facilitated intercontinental spread, with Europe as a major source. Phylogenetic analyses also revealed that the dominant strains circulating in the USA were introduced from Europe. However, stringent restrictions on international travel across the world since late March have substantially reduced intercontinental transmission.
CONCLUSIONS: Our analyses highlight that heterogeneities in international travel have shaped the spatiotemporal characteristics of the pandemic. Unrestricted travel caused a large number of COVID-19 exportations from Europe to other continents between late February and mid-March, which facilitated the COVID-19 pandemic. Targeted restrictions on international travel from countries with widespread community transmission, together with improved capacity in testing, genetic sequencing and contact tracing, can inform timely strategies for mitigating and containing ongoing and future waves of COVID-19 pandemic. © International Society of Travel Medicine 2020. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  Bayesian phylodynamics; COVID-19; SARS-CoV-2; SEIR model; air travel; intercontinental transmission dynamics; population mobility

Mesh:

Year:  2020        PMID: 33094347      PMCID: PMC7665593          DOI: 10.1093/jtm/taaa200

Source DB:  PubMed          Journal:  J Travel Med        ISSN: 1195-1982            Impact factor:   8.490


  7 in total

Review 1.  The emergence, genomic diversity and global spread of SARS-CoV-2.

Authors:  Juan Li; Shengjie Lai; George F Gao; Weifeng Shi
Journal:  Nature       Date:  2021-12-08       Impact factor: 49.962

2.  Relatively rapid evolution rates of SARS-CoV-2 spike gene at the primary stage of massive vaccination.

Authors:  Jing Yang; Min Han; Liang Wang; Likui Wang; Tianrui Xu; Linhuan Wu; Juncai Ma; Gary Wong; Wenjun Liu; George F Gao; Yuhai Bi
Journal:  Biosaf Health       Date:  2022-07-13

Review 3.  Phylogenetic and phylodynamic approaches to understanding and combating the early SARS-CoV-2 pandemic.

Authors:  Stephen W Attwood; Sarah C Hill; David M Aanensen; Thomas R Connor; Oliver G Pybus
Journal:  Nat Rev Genet       Date:  2022-04-22       Impact factor: 59.581

4.  Mobility in China, 2020: a tale of four phases.

Authors:  Suoyi Tan; Shengjie Lai; Fan Fang; Ziqiang Cao; Bin Sai; Bing Song; Bitao Dai; Shuhui Guo; Chuchu Liu; Mengsi Cai; Tong Wang; Mengning Wang; Jiaxu Li; Saran Chen; Shuo Qin; Jessica R Floyd; Zhidong Cao; Jing Tan; Xin Sun; Tao Zhou; Wei Zhang; Andrew J Tatem; Petter Holme; Xiaohong Chen; Xin Lu
Journal:  Natl Sci Rev       Date:  2021-08-16       Impact factor: 17.275

5.  COVID-19 lockdown introduces human mobility pattern changes for both Guangdong-Hong Kong-Macao greater bay area and the San Francisco bay area.

Authors:  Leiyang Zhong; Ying Zhou; Song Gao; Zhaoyang Yu; Zhifeng Ma; Xiaoming Li; Yang Yue; Jizhe Xia
Journal:  Int J Appl Earth Obs Geoinf       Date:  2022-06-20

Review 6.  Co-existence and co-infection of influenza A viruses and coronaviruses: Public health challenges.

Authors:  Jing Yang; Yuhuan Gong; Chunge Zhang; Ju Sun; Gary Wong; Weifeng Shi; Wenjun Liu; George F Gao; Yuhai Bi
Journal:  Innovation (Camb)       Date:  2022-08-17

7.  Global holiday datasets for understanding seasonal human mobility and population dynamics.

Authors:  Shengjie Lai; Alessandro Sorichetta; Jessica Steele; Corrine W Ruktanonchai; Alexander D Cunningham; Grant Rogers; Patrycja Koper; Dorothea Woods; Maksym Bondarenko; Nick W Ruktanonchai; Weifeng Shi; Andrew J Tatem
Journal:  Sci Data       Date:  2022-01-20       Impact factor: 6.444

  7 in total

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