Abstract
Introduction: The emergence of SARS-CoV-2 variants necessitated identification of travel-associated COVID-19 cases in England. Methods: We implemented a novel integrated COVID-19-episode-level travel surveillance system, Surveillance of International COVID-19 Cases (SuITCases), to assign imported, sporadic or unknown travel status to COVID-19 cases, using data linkage between two enhanced and two routine data sources. Results: SuITCases identified 517,988 travel-associated SARS-CoV-2 episodes (3.0% of total), where the two enhanced systems assigned most travel statuses. Conclusions: Our unique system facilitated rapid identification of travel-associated COVID-19 cases, reducing transmission and informing public health actions. Enhanced surveillance data sources should be considered as potential tools for future outbreak investigations and pandemic preparedness.
| Original language | English |
|---|---|
| Article number | e70141 |
| Journal | Influenza and other Respiratory Viruses |
| Volume | 19 |
| Issue number | 8 |
| DOIs | |
| Publication status | Published - Aug 2025 |
Bibliographical note
Publisher Copyright:© 2025 Crown copyright. Influenza and Other Respiratory Viruses published by John Wiley & Sons Ltd. This article is published with the permission of the Controller of HMSO and the King's Printer for Scotland.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- COVID-19
- SARS-CoV-2
- pandemic
- surveillance
- travel
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