The GCI Dashboard

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Country Rank

86


Cameroon

Recovery Rank for 180 countries/regions

Country Rank

98


Cameroon

Recovery Rank for 184 countries/regions

COVID-19 Recovery Rating

3

Recovery Index
59.43
(Out of 100)



(100 = Best, 0 = Worst)

COVID-19 Recovery Rating

3

Recovery Index
50.70
(Out of 100)



(100 = Best, 0 = Worst)

COVID-19 Severity Rating

2

Severity Index
21.10
(Out of 100)



(0 = Best, 100 = Worst)

COVID-19 Severity Rating

1

Severity Index
23.75
(Out of 100)



(0 = Best, 100 = Worst)

Stringency Rating

17.39

(100 = Strictest Measures, 0 = No Measures)


Population
25,876,380

(Medium Density)


GNI per capita (US$)

1,440

(Lower 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 are not allowed to enter. - This does not apply to: - nationals and residents of Cameroon; - passengers with a visa.

2. Passengers must have a negative COVID-19 PCR test taken at most 3 days before departure from the first embarkation point. - This does not apply to passengers younger than 10
years.

3. Passengers are subject to a COVID-19 rapid antigen test upon arrival. - This does not apply to passengers younger than 10 years.

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)


Cameroon 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.

Cameroon 50.70 59.43 25,876,380 Medium Density Lower middle income 26-30 deg
Country Recovery Index Recovery Index Population Density GNI per capita Average Temperature
since First Case (Celsius)
Match%
Cambodia 72.67 64.30 16,486,542 Medium Density Lower middle income 26-30 deg 100%
Ivory Coast 54.36 54.68 25,716,544 Medium Density Lower middle income 26-30 deg 100%
Benin 50.30 51.10 11,801,151 Medium Density Lower middle income > 30 deg 85%
Ghana 53.19 53.23 30,417,856 Medium Density Lower middle income > 30 deg 85%
Morocco 64.75 65.33 36,471,769 Medium Density Lower middle income 11-20 deg 85%
Nepal 63.27 71.97 28,608,710 Medium Density Lower middle income 11-20 deg 85%
Senegal 49.72 64.45 16,296,364 Medium Density Lower middle income > 30 deg 85%
Tunisia 49.84 67.07 11,694,719 Medium Density Lower middle income 11-20 deg 85%
Ukraine 55.01 68.58 44,385,155 Medium Density Lower middle income 11-20 deg 85%
Uzbekistan 51.12 61.58 33,580,650 Medium Density Lower middle income 11-20 deg 85%

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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Recognition and Award:

Chairman's Award



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