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Country Rank

87


South Africa

Recovery Rank for 180 countries/regions

Country Rank

72


South Africa

Recovery Rank for 184 countries/regions

COVID-19 Recovery Rating

3

Recovery Index
60.13
(Out of 100)



(100 = Best, 0 = Worst)

COVID-19 Recovery Rating

3

Recovery Index
56.31
(Out of 100)



(100 = Best, 0 = Worst)

COVID-19 Severity Rating

3

Severity Index
46.31
(Out of 100)



(0 = Best, 100 = Worst)

COVID-19 Severity Rating

2

Severity Index
33.88
(Out of 100)



(0 = Best, 100 = Worst)

Stringency Rating

26.09

(100 = Strictest Measures, 0 = No Measures)


Population
58,558,270

(Medium Density)


GNI per capita (US$)

5,750

(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 can only land at Cape Town (CPT), Durban (DUR), Nelspruit (MQP) or Johannesburg: Lanseria International (HLA) and Tambo International (JNB).

2. Passengers entering or transiting through South Africa must have a negative COVID-19 PCR test result issued at most 72 hours before departure from the first embarkation point.
- This does not apply to: - passengers younger than 5 years; - passengers with a positive COVID-19 PCR test result issued at most 72 hours before arrival. They must have the
original positive COVID-19 PCR test result and a letter issued by a medical practitioner showing they are fit to fly and have completed a 10 day isolation period.

3. Passengers must complete a "Traveller Health Questionnaire" upon arrival.

4. Passengers and airline crew are subject to medical screening.

5. Airline crew could be subject to a COVID-19 test upon arrival.

6. Visa exemptions for nationals of France, Germany, Italy, Korea (Rep.), Portugal, Singapore, Spain, USA, for passengers with a Hong Kong (SAR China) passport and for passengers
with a British normal passport with nationality "British Citizen", have been reinstated.

7. More COVID-19 related information can be found at https://www.gov.za/Coronavirus/travel

Travel Advisory information provided and published with permission by IATA. (Timatic COVID-19 Alerts Service has been discontinued on 1/1/2022, please refer this page for latest travel advisory)


South Africa 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.

South Africa 56.31 60.13 58,558,270 Medium Density Upper middle income 11-20 deg
Country Recovery Index Recovery Index Population Density GNI per capita Average Temperature
since First Case (Celsius)
Match%
Iran 63.00 70.64 82,913,906 Medium Density Upper middle income 11-20 deg 100%
Turkey 68.76 68.08 83,429,615 Medium Density Upper middle income 11-20 deg 100%
Thailand 71.10 65.98 69,625,582 Medium Density Upper middle income 26-30 deg 85%
Congo Democratic Republic 31.04 42.87 86,790,567 Medium Density Low income 26-30 deg 60%
Egypt 50.55 56.69 100,388,073 Medium Density Lower middle income 21-25 deg 60%
France 58.17 55.83 67,059,887 Medium Density High income < 10 deg 60%
Germany 47.65 49.17 83,132,799 Medium Density High income < 10 deg 60%
Italy 47.79 48.79 60,297,396 Medium Density High income < 10 deg 60%
Kenya 55.05 60.47 52,573,973 Medium Density Lower middle income 26-30 deg 60%
Myanmar 62.19 74.10 54,045,420 Medium Density Lower middle income 26-30 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 Worsening. Infections are forecasted to continue to be on the rise. Interventions are required, if not already in place.




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