2020
DOI: 10.7249/rra248-1
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COVID-19 Air Traffic Visualization: A New Tool Helps Analyze Commercial Air Travel Involving Infected Passengers

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“…In this case, the y variable (International flight departures) is leading, which means that international flights significantly increase COVID‐19 cases in the mid‐run. The verdicts are similar to the findings of Hanson et al ( 2020 ) and Lau et al ( 2020 ). Thirdly, in the same way, a large number of arrows pointing left upward indicates a significant out‐of‐phase coherence (negative relationship) between COVID‐19 cases and international flight departures in the frequency band (32–64) (long run) during April to mid‐June 2020.…”
Section: Resultssupporting
confidence: 89%
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“…In this case, the y variable (International flight departures) is leading, which means that international flights significantly increase COVID‐19 cases in the mid‐run. The verdicts are similar to the findings of Hanson et al ( 2020 ) and Lau et al ( 2020 ). Thirdly, in the same way, a large number of arrows pointing left upward indicates a significant out‐of‐phase coherence (negative relationship) between COVID‐19 cases and international flight departures in the frequency band (32–64) (long run) during April to mid‐June 2020.…”
Section: Resultssupporting
confidence: 89%
“…The verdicts are similar to the findings ofHanson et al (2020) andLau et al (2020). Thirdly, in the same way, a large number of arrows pointing left upward indicates a significant out-of-phase coherence (negative relationship) between COVID-19 cases and international flight departures in the frequency band (32-64) (long run) during April to mid-June 2020.…”
supporting
confidence: 75%