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Country Rank

76


Liberia

Recovery Rank for 180 countries/regions

Country Rank

138


Liberia

Recovery Rank for 184 countries/regions

COVID-19 Recovery Rating

3

Recovery Index
61.37
(Out of 100)



(100 = Best, 0 = Worst)

COVID-19 Recovery Rating

3

Recovery Index
47.12
(Out of 100)



(100 = Best, 0 = Worst)

COVID-19 Severity Rating

2

Severity Index
22.67
(Out of 100)



(0 = Best, 100 = Worst)

COVID-19 Severity Rating

1

Severity Index
25.70
(Out of 100)



(0 = Best, 100 = Worst)

Stringency Rating

43.48

(100 = Strictest Measures, 0 = No Measures)


Population
4,937,374

(Medium Density)


GNI per capita (US$)

610

(Low 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 must download the Liberia Travel App and complete a Health Screening Arrival Form. The app can be found at
https://play.google.com/store/apps/details?id=com.tuma.libtravel or https://apps.apple.com/us/apps/lib-travel/id1537552090

2. Passengers must have a COVID-19 vaccination certificate showing that they were fully vaccinated at least 14 days before arrival. Vaccines accepted are AstraZeneca (Vaxzevria),
AstraZeneca (SK Bioscience), Covaxin, Covishield, Janssen, Moderna (Spikevax), Pfizer-BioNTech (Comirnaty), Sinopharm (BIBP) and Sinovac. - This does not apply to passengers
younger than 18 years.

3. Passengers must have a negative COVID-19 test taken at most 3 days before departure from the first embarkation point. Tests accepted are ARN, LAMP, NAA, NAAT, NAT, PCR, RNA,
TAAN and TAN. - This does not apply to passengers younger than 5 years.

4. Passengers are subject to a COVID-19 antigen test upon arrival at their own expense.

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

6. Passengers could be subject to quarantine for 7 days at their own expense.

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)


Liberia 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.

Liberia 47.12 61.37 4,937,374 Medium Density Low income 26-30 deg
Country Recovery Index Recovery Index Population Density GNI per capita Average Temperature
since First Case (Celsius)
Match%
Eritrea 40.33 47.58 3,497,117 Medium Density Low income 26-30 deg 100%
Gambia 51.00 66.64 2,347,706 Medium Density Low income 26-30 deg 100%
Guinea-Bissau 48.46 45.90 1,920,922 Medium Density Low income 26-30 deg 100%
Sierra Leone 50.84 63.44 7,813,215 Medium Density Low income 26-30 deg 100%
Togo 55.05 61.03 8,082,366 Medium Density Low income 26-30 deg 100%
Tajikistan 55.58 60.39 9,321,018 Medium Density Low income < 10 deg 85%
Costa Rica 56.48 60.87 5,047,561 Medium Density Upper middle income 26-30 deg 75%
Equatorial Guinea 50.93 53.42 1,355,986 Medium Density Upper middle income 26-30 deg 75%
Honduras 20.69 34.85 9,746,117 Medium Density Lower middle income 26-30 deg 75%
Laos 67.59 63.69 7,169,455 Medium Density Lower middle income 26-30 deg 75%

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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