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Travel-related control measures to contain the COVID-19 pandemic: an evidence map
OBJECTIVES: To comprehensively map the existing evidence assessing the impact of travel-related control measures for containment of the SARS-CoV-2/COVID-19 pandemic. DESIGN: Rapid evidence map. DATA SOURCES: MEDLINE, Embase and Web of Science, and COVID-19 specific databases offered by the US Center...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8042592/ https://www.ncbi.nlm.nih.gov/pubmed/33837093 http://dx.doi.org/10.1136/bmjopen-2020-041619 |
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author | Movsisyan, Ani Burns, Jacob Biallas, Renke Coenen, Michaela Geffert, Karin Horstick, Olaf Klerings, Irma Pfadenhauer, Lisa Maria von Philipsborn, Peter Sell, Kerstin Strahwald, Brigitte Stratil, Jan M Voss, Stephan Rehfuess, Eva |
author_facet | Movsisyan, Ani Burns, Jacob Biallas, Renke Coenen, Michaela Geffert, Karin Horstick, Olaf Klerings, Irma Pfadenhauer, Lisa Maria von Philipsborn, Peter Sell, Kerstin Strahwald, Brigitte Stratil, Jan M Voss, Stephan Rehfuess, Eva |
author_sort | Movsisyan, Ani |
collection | PubMed |
description | OBJECTIVES: To comprehensively map the existing evidence assessing the impact of travel-related control measures for containment of the SARS-CoV-2/COVID-19 pandemic. DESIGN: Rapid evidence map. DATA SOURCES: MEDLINE, Embase and Web of Science, and COVID-19 specific databases offered by the US Centers for Disease Control and Prevention and the WHO. ELIGIBILITY CRITERIA: We included studies in human populations susceptible to SARS-CoV-2/COVID-19, SARS-CoV-1/severe acute respiratory syndrome, Middle East respiratory syndrome coronavirus/Middle East respiratory syndrome or influenza. Interventions of interest were travel-related control measures affecting travel across national or subnational borders. Outcomes of interest included infectious disease, screening, other health, economic and social outcomes. We considered all empirical studies that quantitatively evaluate impact available in Armenian, English, French, German, Italian and Russian based on the team’s language capacities. DATA EXTRACTION AND SYNTHESIS: We extracted data from included studies in a standardised manner and mapped them to a priori and (one) post hoc defined categories. RESULTS: We included 122 studies assessing travel-related control measures. These studies were undertaken across the globe, most in the Western Pacific region (n=71). A large proportion of studies focused on COVID-19 (n=59), but a number of studies also examined SARS, MERS and influenza. We identified studies on border closures (n=3), entry/exit screening (n=31), travel-related quarantine (n=6), travel bans (n=8) and travel restrictions (n=25). Many addressed a bundle of travel-related control measures (n=49). Most studies assessed infectious disease (n=98) and/or screening-related (n=25) outcomes; we found only limited evidence on economic and social outcomes. Studies applied numerous methods, both inferential and descriptive in nature, ranging from simple observational methods to complex modelling techniques. CONCLUSIONS: We identified a heterogeneous and complex evidence base on travel-related control measures. While this map is not sufficient to assess the effectiveness of different measures, it outlines aspects regarding interventions and outcomes, as well as study methodology and reporting that could inform future research and evidence synthesis. |
format | Online Article Text |
id | pubmed-8042592 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-80425922021-04-13 Travel-related control measures to contain the COVID-19 pandemic: an evidence map Movsisyan, Ani Burns, Jacob Biallas, Renke Coenen, Michaela Geffert, Karin Horstick, Olaf Klerings, Irma Pfadenhauer, Lisa Maria von Philipsborn, Peter Sell, Kerstin Strahwald, Brigitte Stratil, Jan M Voss, Stephan Rehfuess, Eva BMJ Open Public Health OBJECTIVES: To comprehensively map the existing evidence assessing the impact of travel-related control measures for containment of the SARS-CoV-2/COVID-19 pandemic. DESIGN: Rapid evidence map. DATA SOURCES: MEDLINE, Embase and Web of Science, and COVID-19 specific databases offered by the US Centers for Disease Control and Prevention and the WHO. ELIGIBILITY CRITERIA: We included studies in human populations susceptible to SARS-CoV-2/COVID-19, SARS-CoV-1/severe acute respiratory syndrome, Middle East respiratory syndrome coronavirus/Middle East respiratory syndrome or influenza. Interventions of interest were travel-related control measures affecting travel across national or subnational borders. Outcomes of interest included infectious disease, screening, other health, economic and social outcomes. We considered all empirical studies that quantitatively evaluate impact available in Armenian, English, French, German, Italian and Russian based on the team’s language capacities. DATA EXTRACTION AND SYNTHESIS: We extracted data from included studies in a standardised manner and mapped them to a priori and (one) post hoc defined categories. RESULTS: We included 122 studies assessing travel-related control measures. These studies were undertaken across the globe, most in the Western Pacific region (n=71). A large proportion of studies focused on COVID-19 (n=59), but a number of studies also examined SARS, MERS and influenza. We identified studies on border closures (n=3), entry/exit screening (n=31), travel-related quarantine (n=6), travel bans (n=8) and travel restrictions (n=25). Many addressed a bundle of travel-related control measures (n=49). Most studies assessed infectious disease (n=98) and/or screening-related (n=25) outcomes; we found only limited evidence on economic and social outcomes. Studies applied numerous methods, both inferential and descriptive in nature, ranging from simple observational methods to complex modelling techniques. CONCLUSIONS: We identified a heterogeneous and complex evidence base on travel-related control measures. While this map is not sufficient to assess the effectiveness of different measures, it outlines aspects regarding interventions and outcomes, as well as study methodology and reporting that could inform future research and evidence synthesis. BMJ Publishing Group 2021-04-09 /pmc/articles/PMC8042592/ /pubmed/33837093 http://dx.doi.org/10.1136/bmjopen-2020-041619 Text en © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Public Health Movsisyan, Ani Burns, Jacob Biallas, Renke Coenen, Michaela Geffert, Karin Horstick, Olaf Klerings, Irma Pfadenhauer, Lisa Maria von Philipsborn, Peter Sell, Kerstin Strahwald, Brigitte Stratil, Jan M Voss, Stephan Rehfuess, Eva Travel-related control measures to contain the COVID-19 pandemic: an evidence map |
title | Travel-related control measures to contain the COVID-19 pandemic: an evidence map |
title_full | Travel-related control measures to contain the COVID-19 pandemic: an evidence map |
title_fullStr | Travel-related control measures to contain the COVID-19 pandemic: an evidence map |
title_full_unstemmed | Travel-related control measures to contain the COVID-19 pandemic: an evidence map |
title_short | Travel-related control measures to contain the COVID-19 pandemic: an evidence map |
title_sort | travel-related control measures to contain the covid-19 pandemic: an evidence map |
topic | Public Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8042592/ https://www.ncbi.nlm.nih.gov/pubmed/33837093 http://dx.doi.org/10.1136/bmjopen-2020-041619 |
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