The GCI Dashboard

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Country Rank

153


Guinea-Bissau

Recovery Rank for 180 countries/regions

Country Rank

130


Guinea-Bissau

Recovery Rank for 184 countries/regions

COVID-19 Recovery Rating

2

Recovery Index
44.16
(Out of 100)



(100 = Best, 0 = Worst)

COVID-19 Recovery Rating

3

Recovery Index
47.77
(Out of 100)



(100 = Best, 0 = Worst)

COVID-19 Severity Rating

2

Severity Index
27.35
(Out of 100)



(0 = Best, 100 = Worst)

COVID-19 Severity Rating

1

Severity Index
26.45
(Out of 100)



(0 = Best, 100 = Worst)

Stringency Rating

N/A

(100 = Strictest Measures, 0 = No Measures)


Population
1,920,922

(Medium Density)


GNI per capita (US$)

750

(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


Passengers must have a negative COVID-19 PCR test result issued at most 5 days before departure.

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)

Guinea-Bissau 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.

Guinea-Bissau 47.77 44.16 1,920,922 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 39.34 45.90 3,497,117 Medium Density Low income 26-30 deg 100%
Gambia 51.43 52.59 2,347,706 Medium Density Low income 26-30 deg 100%
Liberia 66.33 67.20 4,937,374 Medium Density Low income 26-30 deg 100%
Sierra Leone 57.61 67.78 7,813,215 Medium Density Low income 26-30 deg 100%
Togo 53.67 63.54 8,082,366 Medium Density Low income 26-30 deg 100%
Tajikistan 54.79 60.34 9,321,018 Medium Density Low income < 10 deg 85%
Costa Rica 34.97 42.64 5,047,561 Medium Density Upper middle income 26-30 deg 75%
Equatorial Guinea 44.99 49.71 1,355,986 Medium Density Upper middle income 26-30 deg 75%
Honduras 46.39 65.41 9,746,117 Medium Density Lower middle income 26-30 deg 75%
Laos 67.82 69.07 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 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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