The GCI Dashboard

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Country Rank

19


Thailand

Recovery Rank for 180 countries/regions

Country Rank

4


Thailand

Recovery Rank for 184 countries/regions

COVID-19 Recovery Rating

4

Recovery Index
78.33
(Out of 100)



(100 = Best, 0 = Worst)

COVID-19 Recovery Rating

5

Recovery Index
82.81
(Out of 100)



(100 = Best, 0 = Worst)

COVID-19 Severity Rating

2

Severity Index
10.36
(Out of 100)



(0 = Best, 100 = Worst)

COVID-19 Severity Rating

1

Severity Index
10.45
(Out of 100)



(0 = Best, 100 = Worst)

Stringency Rating

43.48

(100 = Strictest Measures, 0 = No Measures)


Population
69,625,582

(Medium Density)


GNI per capita (US$)

6610

(Upper middle income)
5 Countries who have made the most progress in
curtailing the spread of the pandemic and can be
used as examples of best practices (Relative Rating)

4
3
2 Countries who are struggling to cope with the crisis
and who may need to consider maintaining stringent
non-pharmaceutical measures (Relative Rating)
1
1 Countries who are coping with the crisis with a low percentage
of infections and resulting deaths per population
(Relative Rating)
2
3 Countries who may be overwhelmed by the crisis with a high
percentage of infections and resulting deaths per population
(Relative Rating)
4
5

Travel Advisory


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 are
spouses, 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 with
a 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 APEC
Business 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 in
English. - 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 certificate
must 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.


Thailand Infection Trend


How can you tell if a curve is really flattening?

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 flattening.


Countries with Similar Characteristics


This table is generated by a GCI-developed tool to match countries based on their similar characteristics such as population, population density, income and climate.

Thailand 82.81 78.33 69,625,582 Medium Density Upper middle income 26-30 deg
Country Recovery Index Recovery Index Population Density GNI per capita Average Temperature
since First Case (Celsius)
Match%
Iran 46.82 55.18 82,913,906 Medium Density Upper middle income 11-20 deg 85%
South Africa 66.62 71.77 58,558,270 Medium Density Upper middle income 11-20 deg 85%
Turkey 65.32 74.11 83,429,615 Medium Density Upper middle income 11-20 deg 85%
Congo Democratic Republic 56.76 62.78 86,790,567 Medium Density Low income 26-30 deg 75%
Kenya 52.76 57.94 52,573,973 Medium Density Lower middle income 26-30 deg 75%
Myanmar 55.16 69.07 54,045,420 Medium Density Lower middle income 26-30 deg 75%
Egypt 56.57 64.96 100,388,073 Medium Density Lower middle income 21-25 deg 60%
France 27.80 34.14 67,059,887 Medium Density High income < 10 deg 60%
Germany 55.66 64.45 83,132,799 Medium Density High income < 10 deg 60%
Italy 27.18 38.75 60,297,396 Medium Density High income < 10 deg 60%

GCI Recovery Forecast


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.

Forecast Results:

Situation May Improve. The GCI Model indicates that the situation has a small probability of recovery, but there is insufficient evidence to suggest that the recovery trend will improve significantly in the near future.



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