Recovery Rank for 180
Recovery Rank for 184
81.29 (Out of 100)
(100 = Best, 0 = Worst)
62.33 (Out of 100)
14.16 (Out of 100)
(0 = Best, 100 = Worst)
20.49 (Out of 100)
(100 = Strictest Measures, 0 = No Measures)
1. Passengers must have an approval from the Foreign Ministry of Sri Lanka by sending an email to: [email protected] . - This does not apply to nationals and dualnationals of Sri Lanka staying in a designated quarantine hotel. 2. Passengers arriving via "Sri Lanka Tourism" must obtain an approval at https://www.srilanka.travel/helloagain/ . 3. Passengers must have a printed negative COVID-19 PCR test taken at most 96 hours before departure from the first embarkation point. The test result must be in English. - Thisdoes not apply to - nationals of Sri Lanka; - merchant seamen who are nationals of Sri Lanka with a Seaman's Discharge Book. They must transfer directly from the ship to theairport; - passengers with a COVID-19 vaccination certificate. If the certificate is not issued in English, a certified English translation is needed. 4. Nationals of Sri Lanka must have: - a printed negative COVID-19 PCR test taken at most 96 hours before departure from the first embarkation point. The test result must be inEnglish; or - a printed rapid antigen test taken at most 48 hours before departure from the first embarkation point. The test result must be in English. - This does not apply tonationals of Sri Lanka with a COVID-19 vaccination certificate. If the certificate is not issued in English, a certified English translation is needed. 5. A completed "Health Declaration Form" must be presented upon arrival. The form can be obtained at https://www.caa.lk/en/special-notices-for-covid-19 or upon arrival. 6. Passengers are subject to a COVID-19 PCR test upon arrival. - This does not apply to passengers younger than 12 years. 7. Passengers are subject to quarantine. More details can be found at https://www.epid.gov.lk/web/ or https://www.hpb.health.gov.lk/en .
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: