| Literature DB >> 33186687 |
Michel Bielecki1, Dipti Patel2, Jochen Hinkelbein3, Matthieu Komorowski4, John Kester5, Shahul Ebrahim6, Alfonso J Rodriguez-Morales7, Ziad A Memish8, Patricia Schlagenhauf9.
Abstract
Air travel during the COVID-19 pandemic is challenging for travellers, airlines, airports, health authorities, and governments. We reviewed multiple aspects of COVID peri-pandemic air travel, including data on traveller numbers, peri-flight prevention, and testing recommendations and in-flight SARS-CoV-2 transmission, photo-epidemiology of mask use, the pausing of air travel to mass gathering events, and quarantine measures and their effectiveness. Flights are reduced by 43% compared to 2019. Hygiene measures, mask use, and distancing are effective, while temperature screening has been shown to be unreliable. Although the risk of in-flight transmission is considered to be very low, estimated at one case per 27 million travellers, confirmed in-flight cases have been published. Some models exist and predict minimal risk but fail to consider human behavior and airline procedures variations. Despite aircraft high-efficiency filtering, there is some evidence that passengers within two rows of an index case are at higher risk. Air travel to mass gatherings should be avoided. Antigen testing is useful but impaired by time lag to results. Widespread application of solutions such as saliva-based, rapid testing or even detection with the help of "sniffer dogs" might be the way forward. The "traffic light system" for traveling, recently introduced by the Council of the European Union is a first step towards normalization of air travel. Quarantine of travellers may delay introduction or re-introduction of the virus, or may delay the peak of transmission, but the effect is small and there is limited evidence. New protocols detailing on-arrival, rapid testing and tracing are indicated to ensure that restricted movement is pragmatically implemented. Guidelines from airlines are non-transparent. Most airlines disinfect their flights and enforce wearing masks and social distancing to a certain degree. A layered approach of non-pharmaceutical interventions, screening and testing procedures, implementation and adherence to distancing, hygiene measures and mask use at airports, in-flight and throughout the entire journey together with pragmatic post-flight testing and tracing are all effective measures that can be implemented. Ongoing research and systematic review are indicated to provide evidence on the utility of preventive measures and to help answer the question "is it safe to fly?".Entities:
Keywords: COVID19; Flying; Inflight transmission; Safety measures
Year: 2020 PMID: 33186687 PMCID: PMC7655026 DOI: 10.1016/j.tmaid.2020.101915
Source DB: PubMed Journal: Travel Med Infect Dis ISSN: 1477-8939 Impact factor: 6.211
IATA, worldwide airline industry.
| unit | 2019 | 2020 | % change | |
|---|---|---|---|---|
| real | projection | |||
| Aircraft fleet | 29,697 | 20,261 | −31.8 | |
| Scheduled flights | million | 38.9 | 23.1 | −40.6 |
| - flights per aircraft | 598 | 355 | −40.6 | |
| Passenger departures* | billion | 4.5 | 2.2 | −50.6 |
| - passengers per flight | 117 | 97 | −16.7 | |
| Revenue Passenger Kilometers (RPKs) | billion km | 8680 | 3929 | −54.7 |
| - average distance per passenger | km | 1911 | 1749 | −8.4 |
| Unique city pairs | 21,187 | 16,102 | −24.0 | |
| Passenger load factor | % | 82.5 | 62.7 | −19.8 |
Source: compiled from International Air Transport Association (IATA) Airline Industry Economic Performance - June 2020 – Report & Data tables https://www.iata.org/en/publications/economics/?Search=&EconomicsL1=149&EconomicsL2=150 * Departures refer to legs flown, so # of round trips is half for direct flights, and a third or less for indirect flights.
Some Factors that may be considered when making quarantine decisions.
| 1.Disease specific factors |
|---|
| Incubation period, reproduction number, extent of asymptomatic and pre-symptomatic transmission, severity of illness, population level immunity |
| Knowledge of key characteristics of infection |
| Availability of vaccine or effective treatment |
| 2.Epidemiology |
| Worldwide epidemiology |
| Rates of infection in receiving country |
| 3.Travel patterns |
| 4. Healthcare factors |
| Effectiveness of non-pharmaceutical control measures |
| Resilience during a crisis |
| Availability of prompt and efficient testing and contact tracing |
| Capacity of healthcare systems |
| 5.Legal and ethical considerations, likelihood of compliance |
| 6.Economic and logistic factors |
Fig. 1Sample airflow, A320.
Published cases of inflight transmission of COVID-19 with known index cases.
| Scientifically confirmed cases of inflight transmission of COVID-19 | Infectious passengers | Secondary cases | From - > To | Date | Flight length | Article | Comment |
|---|---|---|---|---|---|---|---|
| 1 | 11 | 11 | Perth - > Sydney | March 2020 | 4 h 10 min | Speake et al. [ | |
| 2 | 1 | 15 | London - > Hanoi | March 2020 | 12 h | Khanh et al. [ | |
| 3 | 2 | 0 | China - > Greece | January 2020 | 10 h | Schwartz et al. [ | |
| 4 | 6 (asymptomatic) | 1 | Italy - > South Korea | March 2020 | 10 h | Hwan be et al. [ | Was wearing mask, transmission most likely in toilet |
| 5 | 7 | 2 | Tel Aviv - > Frankfurt | March 2020 | 4 h 40 min | Hoehl et al. [ | |
| 6 | 2 | 5 | Israel - > Athens | March 2020 | 2 h | Pavli et al. [ | |
| 7 | 3 | 6 | Wuhan - > Singapore | January 2020 | 10 h | Zhang et al. [ | |
| 8 | ? | 2 | Bangui - > Paris | March 2020 | 7 h | Eldin et al. [ |
Preflight-Measures of the 20 biggest airlines by size as of October 15th.
| Mask | Negative Testing PCR certificate | Thermoscanners | Hygiene kit | Health Screening for staff | Personnel PPE | Social Distancing when boarding | Systematic Boarding | Rapid tests before boarding | |
|---|---|---|---|---|---|---|---|---|---|
| Swiss Airlines | x | (x) | ? | ? | ? | x | ? | ? | – |
| Emirates | x | – | x | x | ? | X | ? | x | x |
| Turkish Airlines | x | – | x | – | (−) (+) (just temperature) | x | ? | ? | – |
| Air Canada | x | – | x | – | ? | x | x | x | – |
| Lufthansa | x | (x) | x | – | – | - (plexiglass) | x | x | x |
| American Airlines | x | – | ? - | – | – | x | x | – | – |
| British airways | x | – | – | – | – | ? | x | x | – |
| ANA | x | – | x | x | – | x | x | x | – |
| Air France | x | (x) possibility | x | – | – | x | x | x | – |
| Southwest Airlines | x | – | x | (x) wipes | – | x | x | x | – |
| Alaska Airlines | (x) possibility | – | – | – | x | x | x | – | |
| Ryanair | x | – | self | – | – | (x) limited | (x) encouraged | ? | – |
| Easyjet | x | – | (x) varies | – | – | x | x | x | – |
| Aeroflot | x + gloves + change mask every 3 h | – | x 37° | x | ? | x | x | x | – |
| United | x | – | x | – | – | x | x | x | – |
| Delta Airlines | x | – | x | x | ? | x | x | x | – |
| China Southern Airlines | x | – | x (also during flight) | x | x | x | x | x | – |
| China Eastern Airlines | x | – | x | x | ? | ? | ? | ? | – |
| Air China | x | – | x | x | ? | x | x | x | – |
| IndiGo | x | – | x + health declaration app | x | x | x | x | x | – |
| LATAM Airlines | x | – | – | – | ? | x | x | x | – |
| Avianca | x | – | x | – | – | x | x | x | – |
Fig. 2Mitigation measures × for prevention of SARS-CoV-2 transmission while traveling from home to the end destination.
Also including NPIs: Non-Pharmaceutical Intervention Layering Non-Pharmaceutical Interventions (NPIs) can mitigate risk of SARS-CoV-2 transmission for Passengers and crew members during air travel (figure derived from the report “Assessment of Risks of SARS-CoV-2 Transmission During Air Travel and Non-Pharmaceutical Interventions to Reduce Risk Phase One Report: Gate-to-Gate Travel Onboard Aircraft Prepared by Faculty and Scientists at the Harvard T.H. Chan School of Public Health).