Recovery Rank for 180
Recovery Rank for 184
78.33 (Out of 100)
(100 = Best, 0 = Worst)
82.81 (Out of 100)
10.36 (Out of 100)
(0 = Best, 100 = Worst)
10.45 (Out of 100)
(100 = Strictest Measures, 0 = No Measures)
1. Passengers and airline crew are not allowed to enter and transit until 30 November 2020. - This does not apply to: - nationals and residents of Thailand; - passengers who arespouses, parents or children of a national of Thailand; - airline crew with a return scheduled flight; - passengers with a visa issued by Thailand; - nationals of Australia, China(People's Rep.), Japan, Korea (Rep.), Malaysia, New Zealand, Singapore and Viet Nam with an APEC Business Travel Card arriving from their country of nationality; - passengers witha Chinese Taipei (on the cover: Republic of China Taiwan) passport with an APEC Business Travel Card arriving from Chinese Taipei; - residents of Hong Kong (SAR China) with an APECBusiness Travel Card arriving from Hong Kong (SAR China); - students. 2. Passengers must have a medical certificate with a negative Coronavirus (COVID-19) RT-PCR test result issued at most 72 hours before departure. The certificate must be inEnglish. - This does not apply to nationals of Thailand. 3. Passengers must have an insurance to cover medical expenses in Thailand. - This does not apply to nationals of Thailand. 4. Passengers must have: - a Certificate of Entry issued by Royal Thai Embassy, and - a Fit to Fly health certificate issued at most 72 hours before departure. The certificatemust be in English. 5. Suspension of all visa exemptions and visa on arrival facilities. 6. Passengers are subject to medical screening and quarantine. 7. Airline crew are subject to self-isolation until their next flight. 8. Airline crew staying overnight must have a guarantee letter from the airline or a health insurance certificate with a coverage cost of at least USD 100,000.-.
Travel Advisory information provided and published with permission by IATA.
The number of daily confirmed cases has been used as an estimation of how severe the
COVID-19 situation is in a given country. However, we’ve found that focusing on the country’s
cumulative number of active cases gives a clearer picture of whether the infection curve is
The GCI Recovery Forecasting methodology relies on a Monte Carlo simulation model as we recognise that the factors that contribute to an increase / decrease in confirmed COVID19 cases are highly variable and subject to various localised circumstances and interventions. The P10 / P50 / P90 are probabilities assigned to the forecasts, with P10 being highly optimistic, and P90 being very conservative on recovery and reduction in cases. The forecast model is updated daily based on the latest case data.
Reviewed and Endorsed by:
In Collaboration andPartnership with: