Evidence map›Paper›PMID 36451885›Full record

ArticlemedRxiv : the preprint server for health sciences2022

Global Expansion of SARS-CoV-2 Variants of Concern: Dispersal Patterns and Influence of Air Travel.

Houriiyah Tegally, Eduan Wilkinson, Darren Martin, Monika Moir, Anderson Brito, Marta Giovanetti, Kamran Khan, Carmen Huber, Isaac I Bogoch, James Emmanuel San and 11 more

Open access · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

21 authors at 11 institutions in 5 countries.

Houriiyah TegallyCentre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa.
Eduan WilkinsonCentre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa.
Darren MartinWellcome Centre for Infectious Diseases Research in Africa (CIDRI-Africa), Cape Town, South Africa.
Monika MoirCentre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa.
Anderson BritoInstituto Todos pela Saúde, São Paulo, São Paulo, Brazil.
Marta GiovanettiLaboratorio de Flavivirus, Fundacao Oswaldo Cruz, Rio de Janeiro, Brazil.
Kamran KhanBlueDot, Toronto, Canada.
Carmen HuberBlueDot, Toronto, Canada.
Isaac I BogochDepartment of Medicine, Division of Infectious Diseases, University of Toronto, Toronto, Canada.
James Emmanuel SanKwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), Nelson R. Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa.
Joseph L-H TsuiDepartment of Biology, University of Oxford, Oxford, UK.
Jenicca PoongavananCentre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa.
Joicymara S XavierCentre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa.
Darlan da S CandidoMRC Centre for Global Infectious Disease Analysis and Department of Infectious Disease Epidemiology, Jameel Institute, School of Public Health, Imperial College London, London, UK.
Filipe RomeroMRC Centre for Global Infectious Disease Analysis and Department of Infectious Disease Epidemiology, Jameel Institute, School of Public Health, Imperial College London, London, UK.
Cheryl BaxterCentre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa.
Oliver G PybusDepartment of Biology, University of Oxford, Oxford, UK.
Richard LessellsKwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), Nelson R. Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa.
Nuno R FariaMRC Centre for Global Infectious Disease Analysis and Department of Infectious Disease Epidemiology, Jameel Institute, School of Public Health, Imperial College London, London, UK.
Moritz U G KraemerDepartment of Biology, University of Oxford, Oxford, UK.
Tulio de OliveiraCentre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa.
Stellenbosch University · ZAUniversity of Oxford · GBLondon Centre for Neglected Tropical Disease Research · GBUniversidade Federal de Minas Gerais · BRUniversity of KwaZulu-Natal · ZAUniversity of Toronto · CABlueDot (Canada) · CAInstituto de Saúde · BRRoyal Veterinary College · GBUniversity of Cape Town · ZAUniversity of Washington · US

Funding

University of Washington Arboviral Research Network (UWARN)U01AI151698 · NIAID · UNIVERSITY OF WASHINGTON · PI Michael Gale, PETER MACGARR RABINOWITZ · 2020 to 2026
$13.3M
Role of Data Streams In Informing Infection Dynamics in Africa- INFORM AfricaU54TW012041 · FIC · INSTITUTE OF HUMAN VIROLOGY · PI Alash'le G. Abimiku, Tulio de Paiva Nazareth Andrade De Oliveira · 2021 to 2026
$6.9M
FIC NIH HHS U54 TW012041Medical Research Council MR/S019510/1NIAID NIH HHS U01 AI151698Wellcome Trust
6 · The paper itself

Abstract

In many regions of the world, the Alpha, Beta and Gamma SARS-CoV-2 Variants of Concern (VOCs) co-circulated during 2020-21 and fueled waves of infections. During 2021, these variants were almost completely displaced by the Delta variant, causing a third wave of infections worldwide. This phenomenon of global viral lineage displacement was observed again in late 2021, when the Omicron variant disseminated globally. In this study, we use phylogenetic and phylogeographic methods to reconstruct the dispersal patterns of SARS-CoV-2 VOCs worldwide. We find that the source-sink dynamics of SARS-CoV-2 varied substantially by VOC, and identify countries that acted as global hubs of variant dissemination, while other countries became regional contributors to the export of specific variants. We demonstrate a declining role of presumed origin countries of VOCs to their global dispersal: we estimate that India contributed <15% of all global exports of Delta to other countries and South Africa <1-2% of all global Omicron exports globally. We further estimate that >80 countries had received introductions of Omicron BA.1 100 days after its inferred date of emergence, compared to just over 25 countries for the Alpha variant. This increased speed of global dissemination was associated with a rebound in air travel volume prior to Omicron emergence in addition to the higher transmissibility of Omicron relative to Alpha. Our study highlights the importance of global and regional hubs in VOC dispersal, and the speed at which highly transmissible variants disseminate through these hubs, even before their detection and characterization through genomic surveillance. Highlights: Global phylogenetic analysis reveals relationship between air travel and speed of dispersal of SARS-CoV-2 variants of concern (VOCs)Omicron VOC spread to 5x more countries within 100 days of its emergence compared to all other VOCsOnward transmission and dissemination of VOCs Delta and Omicron was primarily from secondary hubs rather than initial country of detection during a time of increased global air travelAnalysis highlights highly connected countries identified as major global and regional exporters of VOCs.

Identifiers

PMID36451885
PMCPMC9709793
OpenAlexW4310253617

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.