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The impact of national and international travel on spatio-temporal transmission of SARS-CoV-2 in Belgium in 2021

BACKGROUND: The Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) has rapidly spread over the world and caused tremendous impacts on global health. Understanding the mechanism responsible for the spread of this pathogen and the impact of specific factors, such as human mobility, will help...

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Autores principales: Nguyen, Minh Hanh, Nguyen, Thi Huyen Trang, Molenberghs, Geert, Abrams, Steven, Hens, Niel, Faes, Christel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10290350/
https://www.ncbi.nlm.nih.gov/pubmed/37355572
http://dx.doi.org/10.1186/s12879-023-08368-9
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author Nguyen, Minh Hanh
Nguyen, Thi Huyen Trang
Molenberghs, Geert
Abrams, Steven
Hens, Niel
Faes, Christel
author_facet Nguyen, Minh Hanh
Nguyen, Thi Huyen Trang
Molenberghs, Geert
Abrams, Steven
Hens, Niel
Faes, Christel
author_sort Nguyen, Minh Hanh
collection PubMed
description BACKGROUND: The Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) has rapidly spread over the world and caused tremendous impacts on global health. Understanding the mechanism responsible for the spread of this pathogen and the impact of specific factors, such as human mobility, will help authorities to tailor interventions for future SARS-CoV-2 waves or newly emerging airborne infections. In this study, we aim to analyze the spatio-temporal transmission of SARS-CoV-2 in Belgium at municipality level between January and December 2021 and explore the effect of different levels of human travel on disease incidence through the use of counterfactual scenarios. METHODS: We applied the endemic-epidemic modelling framework, in which the disease incidence decomposes into endemic, autoregressive and neighbourhood components. The spatial dependencies among areas are adjusted based on actual connectivity through mobile network data. We also took into account other important factors such as international mobility, vaccination coverage, population size and the stringency of restriction measures. RESULTS: The results demonstrate the aggravating effect of international travel on the incidence, and simulated counterfactual scenarios further stress the alleviating impact of a reduction in national and international travel on epidemic growth. It is also clear that local transmission contributed the most during 2021, and municipalities with a larger population tended to attract a higher number of cases from neighboring areas. CONCLUSIONS: Although transmission between municipalities was observed, local transmission was dominant. We highlight the positive association between the mobility data and the infection spread over time. Our study provides insight to assist health authorities in decision-making, particularly when the disease is airborne and therefore likely influenced by human movement. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-023-08368-9.
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spelling pubmed-102903502023-06-25 The impact of national and international travel on spatio-temporal transmission of SARS-CoV-2 in Belgium in 2021 Nguyen, Minh Hanh Nguyen, Thi Huyen Trang Molenberghs, Geert Abrams, Steven Hens, Niel Faes, Christel BMC Infect Dis Research BACKGROUND: The Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) has rapidly spread over the world and caused tremendous impacts on global health. Understanding the mechanism responsible for the spread of this pathogen and the impact of specific factors, such as human mobility, will help authorities to tailor interventions for future SARS-CoV-2 waves or newly emerging airborne infections. In this study, we aim to analyze the spatio-temporal transmission of SARS-CoV-2 in Belgium at municipality level between January and December 2021 and explore the effect of different levels of human travel on disease incidence through the use of counterfactual scenarios. METHODS: We applied the endemic-epidemic modelling framework, in which the disease incidence decomposes into endemic, autoregressive and neighbourhood components. The spatial dependencies among areas are adjusted based on actual connectivity through mobile network data. We also took into account other important factors such as international mobility, vaccination coverage, population size and the stringency of restriction measures. RESULTS: The results demonstrate the aggravating effect of international travel on the incidence, and simulated counterfactual scenarios further stress the alleviating impact of a reduction in national and international travel on epidemic growth. It is also clear that local transmission contributed the most during 2021, and municipalities with a larger population tended to attract a higher number of cases from neighboring areas. CONCLUSIONS: Although transmission between municipalities was observed, local transmission was dominant. We highlight the positive association between the mobility data and the infection spread over time. Our study provides insight to assist health authorities in decision-making, particularly when the disease is airborne and therefore likely influenced by human movement. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-023-08368-9. BioMed Central 2023-06-24 /pmc/articles/PMC10290350/ /pubmed/37355572 http://dx.doi.org/10.1186/s12879-023-08368-9 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Nguyen, Minh Hanh
Nguyen, Thi Huyen Trang
Molenberghs, Geert
Abrams, Steven
Hens, Niel
Faes, Christel
The impact of national and international travel on spatio-temporal transmission of SARS-CoV-2 in Belgium in 2021
title The impact of national and international travel on spatio-temporal transmission of SARS-CoV-2 in Belgium in 2021
title_full The impact of national and international travel on spatio-temporal transmission of SARS-CoV-2 in Belgium in 2021
title_fullStr The impact of national and international travel on spatio-temporal transmission of SARS-CoV-2 in Belgium in 2021
title_full_unstemmed The impact of national and international travel on spatio-temporal transmission of SARS-CoV-2 in Belgium in 2021
title_short The impact of national and international travel on spatio-temporal transmission of SARS-CoV-2 in Belgium in 2021
title_sort impact of national and international travel on spatio-temporal transmission of sars-cov-2 in belgium in 2021
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10290350/
https://www.ncbi.nlm.nih.gov/pubmed/37355572
http://dx.doi.org/10.1186/s12879-023-08368-9
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