Good Practices for Managing Acute Respiratory Viral Infections at Aerial Entry Points: A Scoping Review
Open Access
- 27 April 2026
- journal article
- research article
- Published by Springer Nature in Journal of Epidemiology and Global Health
- Vol. 16 (1)
Abstract
Background Aerial entry points are critical in the international spread of infectious diseases, underscoring the need for effective management of acute respiratory viral infections (ARVIs). Recent global outbreaks, including COVID‑19, have highlighted the importance of strengthened public health measures at air borders. However, evidence on ARVI management strategies at these points remains fragmented. This scoping review mapped and synthesized existing approaches to quarantine protocols, contact‑tracing methods, and advanced or innovative technologies used at aerial entry points. Methods We conducted a scoping review following the Arksey and O’Malley framework, refined by Levac et al., and reported in accordance with PRISMA ScR guidelines. Scientific databases were systematically searched for English language studies published between 2003 and 2024 that described the management of ARVIs at air borders. Data from eligible studies were charted and analyzed using thematic analysis to identify and categorize quarantine approaches, contact tracing strategies, and advanced or innovative technologies applied in these settings. Results A total of 80 studies were included in the review, addressing diseases such as COVID 19, influenza, SARS, and Ebola. Most studies were conducted in high income countries and in regions of Southeast Asia and the Western Pacific. Various quarantine approaches were identified, including mandatory quarantine, risk based quarantine, and home based isolation strategies. Contact tracing methods ranged from traditional manual approaches using passenger information to technology supported systems that improved the speed of identifying exposed individuals. Several studies reported the use of advanced digital technologies such as digital health passports, geofencing monitoring systems, and electronic reporting platforms to support monitoring, compliance, and data management during public health responses at air borders. Conclusion The findings highlight the diverse range of quarantine protocols, contact tracing approaches, and emerging technological tools used to manage ARVIs at air borders. Despite these developments, evidence regarding the effectiveness and long term implementation of these strategies remains limited. Further research is needed to strengthen the evidence base and support evidence informed policies for managing respiratory infectious diseases at international points of entry.Keywords
Funding Information
- Shahid Beheshti University of Medical Sciences (43013183)
This publication has 87 references indexed in Scilit:
- SARS-CoV-2 screening strategies for returning international travellers: Evaluation of a rapid antigen test approachInternational Journal of Infectious Diseases, 2022
- Non-contact measurement system for COVID-19 vital signs to aid mass screening—An alternate approach2022
- Effect of vaccination, border testing, and quarantine requirements on the risk of COVID-19 in New Zealand: A modelling studyInfectious Disease Modelling, 2021
- International travel-related control measures to contain the COVID-19 pandemic: a rapid reviewCochrane Database of Systematic Reviews, 2021
- Border Management Systems: How Can They Help Against Pandemics2021
- The prevalence of asymptomatic and symptomatic COVID-19 in a cohort of quarantined subjectsInternational Journal of Infectious Diseases, 2021
- Travel-related control measures to contain the COVID-19 pandemic: a rapid reviewCochrane Database of Systematic Reviews, 2020
- Health screening strategies for international air travelers during an epidemic or pandemicJournal of Air Transport Management, 2019
- Rapid identification of imported influenza viruses at Xiamen International Airport via an active surveillance programClinical Microbiology and Infection, 2018
- An infectious disease/fever screening radar system which stratifies higher-risk patients within ten seconds using a neural network and the fuzzy grouping methodJournal of Infection, 2015