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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.
  • Movsisyan A; Institute for Medical Information Processing, Biometry and Epidemiology, Ludwig Maximilians University Munich, Munich, Germany ani.movsisyan@ibe.med.uni-muenchen.de.
  • Burns J; Pettenkofer School of Public Health, Ludwig Maximilians University Munich, Munich, Germany.
  • Biallas R; Institute for Medical Information Processing, Biometry and Epidemiology, Ludwig Maximilians University Munich, Munich, Germany.
  • Coenen M; Pettenkofer School of Public Health, Ludwig Maximilians University Munich, Munich, Germany.
  • Geffert K; Institute for Medical Information Processing, Biometry and Epidemiology, Ludwig Maximilians University Munich, Munich, Germany.
  • Horstick O; Pettenkofer School of Public Health, Ludwig Maximilians University Munich, Munich, Germany.
  • Klerings I; Institute for Medical Information Processing, Biometry and Epidemiology, Ludwig Maximilians University Munich, Munich, Germany.
  • Pfadenhauer LM; Pettenkofer School of Public Health, Ludwig Maximilians University Munich, Munich, Germany.
  • von Philipsborn P; Institute for Medical Information Processing, Biometry and Epidemiology, Ludwig Maximilians University Munich, Munich, Germany.
  • Sell K; Pettenkofer School of Public Health, Ludwig Maximilians University Munich, Munich, Germany.
  • Strahwald B; Heidelberg Institute of Global Health, Heidelberg University, Heidelberg, Germany.
  • Stratil JM; Department for Evidence-based Medicine and Evaluation, Danube University Krems, Krems, Austria.
  • Voss S; Institute for Medical Information Processing, Biometry and Epidemiology, Ludwig Maximilians University Munich, Munich, Germany.
  • Rehfuess E; Pettenkofer School of Public Health, Ludwig Maximilians University Munich, Munich, Germany.
BMJ Open ; 11(4): e041619, 2021 04 09.
Article in English | MEDLINE | ID: covidwho-1175167
Semantic information from SemMedBD (by NLM)
1. COVID-19 AFFECTS human group
Subject
COVID-19
Predicate
AFFECTS
Object
human group
2. armenians LOCATION_OF IMPACT gene
Subject
armenians
Predicate
LOCATION_OF
Object
IMPACT gene
3. COVID-19 AFFECTS human group
Subject
COVID-19
Predicate
AFFECTS
Object
human group
4. armenians LOCATION_OF IMPACT gene
Subject
armenians
Predicate
LOCATION_OF
Object
IMPACT gene
ABSTRACT

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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Travel / Pandemics / COVID-19 Type of study: Evidence synthesis / Prognostic study / Reviews Limits: Humans Language: English Journal: BMJ Open Year: 2021 Document Type: Article Affiliation country: Bmjopen-2020-041619

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Travel / Pandemics / COVID-19 Type of study: Evidence synthesis / Prognostic study / Reviews Limits: Humans Language: English Journal: BMJ Open Year: 2021 Document Type: Article Affiliation country: Bmjopen-2020-041619