The GCI Dashboard

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Country Rank

41


Paraguay

Recovery Rank for 180 countries/regions

Country Rank

125


Paraguay

Recovery Rank for 184 countries/regions

COVID-19 Recovery Rating

3

Recovery Index
66.24
(Out of 100)



(100 = Best, 0 = Worst)

COVID-19 Recovery Rating

3

Recovery Index
48.50
(Out of 100)



(100 = Best, 0 = Worst)

COVID-19 Severity Rating

3

Severity Index
39.99
(Out of 100)



(0 = Best, 100 = Worst)

COVID-19 Severity Rating

3

Severity Index
51.57
(Out of 100)



(0 = Best, 100 = Worst)

Stringency Rating

N/A

(100 = Strictest Measures, 0 = No Measures)


Population
7,044,636

(Low Density)


GNI per capita (US$)

5,670

(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 who in the past 2 weeks have been in Angola, Botswana, Eswatini, Lesotho, Malawi, Mozambique, Namibia, South Africa, Zambia or Zimbabwe are not allowed to enter. -
This does not apply to nationals and residents of Paraguay.

2. Passengers must have a negative COVID-19 LAMP, NAAT or RT-PCR test taken at most 72 hours before boarding; or - a negative COVID-19 antigen test taken at most 24 hours before
boarding. - This does not apply to: - passengers younger than 12 years; - passengers with a positive COVID-19 test result issued at least 14 days and at most 90 days before
arrival. Tests accepted are: antigen, LAMP, NAAT and RT-PCR; - passengers who in the past 2 weeks have been in Angola, Botswana, Eswatini, Lesotho, Malawi, Mozambique, Namibia,
South Africa, Zambia or Zimbabwe.

3. Passengers who in the past 2 weeks have been in Angola, Botswana, Eswatini, Lesotho, Malawi, Mozambique, Namibia, South Africa, Zambia or Zimbabwe must have a negative COVID-19
LAMP, NAAT or RT-PCR test taken at most 72 hours before boarding.

4. Passengers must complete a "Traveler's Health Information" form at most 24 hours before arrival at https://tinyurl.com/2er8ee42 . This will generate a QR code which must be
presented upon arrival.

5. Passengers could be subject to quarantine for 10 days.

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)


Paraguay 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.

Paraguay 48.50 66.24 7,044,636 Low Density Upper middle income 21-25 deg
Country Recovery Index Recovery Index Population Density GNI per capita Average Temperature
since First Case (Celsius)
Match%
Botswana 54.95 62.38 2,303,697 Low Density Upper middle income 21-25 deg 100%
Libya 44.11 51.99 6,777,452 Low Density Upper middle income 21-25 deg 100%
Namibia 48.91 58.91 2,494,530 Low Density Upper middle income 21-25 deg 100%
Gabon 50.25 60.25 2,172,579 Low Density Upper middle income 26-30 deg 85%
Central African Republic 51.58 50.22 4,745,185 Low Density Low income 26-30 deg 60%
Congo Brazzaville 42.77 50.76 5,380,508 Low Density Lower middle income 26-30 deg 60%
Finland 52.85 50.27 5,520,314 Low Density High income < 10 deg 60%
Mauritania 55.54 62.18 4,525,696 Low Density Lower middle income 26-30 deg 60%
Mongolia 50.96 27.97 3,225,167 Low Density Lower middle income < 10 deg 60%
New Zealand 44.99 48.51 4,917,000 Low Density High income 11-20 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:

Best Situation The GCI Model and data indicates that the country has reached 0 active cases and is free from new infections. The Government should consider restoring some kind of normalcy to the country.




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Recognition and Award:

Chairman's Award



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