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Predicted Global Spread of SARS-CoV-2 Alpha Variant of Concern via Air Travel

PURPOSE: To predict the global spread of SARS-CoV-2 Alpha Variant of Concern (VoC) from England via air travel and compare against observed importation. METHODS & MATERIALS: Risk models were used to estimate a country's likelihood of importing at least one traveller infected with the Alpha...

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Autores principales: Au, N.H., Tuite, A.R., Huber, C., Adams, J., Thomas, A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Published by Elsevier Ltd. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8884789/
http://dx.doi.org/10.1016/j.ijid.2021.12.210
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author Au, N.H.
Tuite, A.R.
Huber, C.
Adams, J.
Thomas, A.
author_facet Au, N.H.
Tuite, A.R.
Huber, C.
Adams, J.
Thomas, A.
author_sort Au, N.H.
collection PubMed
description PURPOSE: To predict the global spread of SARS-CoV-2 Alpha Variant of Concern (VoC) from England via air travel and compare against observed importation. METHODS & MATERIALS: Risk models were used to estimate a country's likelihood of importing at least one traveller infected with the Alpha VoC from England by January 19, 2021. First, the prior 60-day incidence of Alpha VoC associated with each English airport was estimated using cumulative Alpha VoC cases reported by Public Health England between September 20, 2020 – January 4, 2021 proportionately allocated to each airport. Each airport's catchment population was derived from a probabilistic Huff model. Next, the prevalence of the Alpha VoC for each airport was derived from the estimated incidence to represent the probability that at least one departing traveller was infected with the Alpha VoC for each English airport. The prevalence and forecasted flight volumes were used to estimate the likelihood of each destination airport receiving at least one infected traveller from England. Forecasted flight volumes were based on historical passenger volumes data from the International Air Transport Association and prospective flight schedules from CIRIUM. All airport-level likelihoods were aggregated to the country-level. Each country's predicted likelihood was compared against observed cases of Alpha VoC by January 25, 2021, collected by cov-lineages.org and a manual search of online sources. RESULTS: Among 211 countries, the median likelihood was 1.6% (interquartile range: 17.5%) and the mean was 13.9% (SD: 23.5%). In total, 28.9% (n=55) of countries had observed importation of the Alpha VoC by January 25(th). Fifteen of 16 countries with a predicted likelihood of importation greater than 50% had reported at least one case (kappa = 0.88), while 31 of 39 countries with a predicted likelihood lower than 1% did not detect a case (kappa = 0.92). CONCLUSION: Risk models based on air travel to inform public health preparedness accurately identified most potential destinations at highest risk of importing the SARS-CoV-2 Alpha VoC.
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spelling pubmed-88847892022-03-01 Predicted Global Spread of SARS-CoV-2 Alpha Variant of Concern via Air Travel Au, N.H. Tuite, A.R. Huber, C. Adams, J. Thomas, A. Int J Infect Dis Topic 18: Infections Related to Travel and Migration PS18.01 (371) PURPOSE: To predict the global spread of SARS-CoV-2 Alpha Variant of Concern (VoC) from England via air travel and compare against observed importation. METHODS & MATERIALS: Risk models were used to estimate a country's likelihood of importing at least one traveller infected with the Alpha VoC from England by January 19, 2021. First, the prior 60-day incidence of Alpha VoC associated with each English airport was estimated using cumulative Alpha VoC cases reported by Public Health England between September 20, 2020 – January 4, 2021 proportionately allocated to each airport. Each airport's catchment population was derived from a probabilistic Huff model. Next, the prevalence of the Alpha VoC for each airport was derived from the estimated incidence to represent the probability that at least one departing traveller was infected with the Alpha VoC for each English airport. The prevalence and forecasted flight volumes were used to estimate the likelihood of each destination airport receiving at least one infected traveller from England. Forecasted flight volumes were based on historical passenger volumes data from the International Air Transport Association and prospective flight schedules from CIRIUM. All airport-level likelihoods were aggregated to the country-level. Each country's predicted likelihood was compared against observed cases of Alpha VoC by January 25, 2021, collected by cov-lineages.org and a manual search of online sources. RESULTS: Among 211 countries, the median likelihood was 1.6% (interquartile range: 17.5%) and the mean was 13.9% (SD: 23.5%). In total, 28.9% (n=55) of countries had observed importation of the Alpha VoC by January 25(th). Fifteen of 16 countries with a predicted likelihood of importation greater than 50% had reported at least one case (kappa = 0.88), while 31 of 39 countries with a predicted likelihood lower than 1% did not detect a case (kappa = 0.92). CONCLUSION: Risk models based on air travel to inform public health preparedness accurately identified most potential destinations at highest risk of importing the SARS-CoV-2 Alpha VoC. Published by Elsevier Ltd. 2022-03 2022-02-28 /pmc/articles/PMC8884789/ http://dx.doi.org/10.1016/j.ijid.2021.12.210 Text en Copyright © 2021 Published by Elsevier Ltd. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Topic 18: Infections Related to Travel and Migration PS18.01 (371)
Au, N.H.
Tuite, A.R.
Huber, C.
Adams, J.
Thomas, A.
Predicted Global Spread of SARS-CoV-2 Alpha Variant of Concern via Air Travel
title Predicted Global Spread of SARS-CoV-2 Alpha Variant of Concern via Air Travel
title_full Predicted Global Spread of SARS-CoV-2 Alpha Variant of Concern via Air Travel
title_fullStr Predicted Global Spread of SARS-CoV-2 Alpha Variant of Concern via Air Travel
title_full_unstemmed Predicted Global Spread of SARS-CoV-2 Alpha Variant of Concern via Air Travel
title_short Predicted Global Spread of SARS-CoV-2 Alpha Variant of Concern via Air Travel
title_sort predicted global spread of sars-cov-2 alpha variant of concern via air travel
topic Topic 18: Infections Related to Travel and Migration PS18.01 (371)
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8884789/
http://dx.doi.org/10.1016/j.ijid.2021.12.210
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