Covid-19 projections in Paraguay

The publication was made within the PINV20-40 project co-financed by the National Council of Science and Technology (CONACYT) with resources from the FEEI

Projections

Select Scenario:

Check Date:

Projection

Rerpots

Hospitalized

ICU

Deceased

Effective Reproduction Number

Additional data on charts

  • Daily reported according to data provided by the MSPyBS.

Scenarios with historical rates of contagion in Paraguay

  • plateau Scenario for the plateau (Replay number equal to unity).
  • 25th Percentile Scenario using the representative low contagion rate history in Paraguay.
  • 75th Percentile Scenario using the historical representative high contagion rate in Paraguay.

Scenarios assumed in case of maintaining current measures

  • Measurements of the last month Scenario using the average transmissibility of the last month.
  • Projections Projection using the last value of the transmissibility.
  • 10% increase / relax Scenario assuming that the measures are relaxed by 10% with respect to the last month.
  • 20% reduction/containment Scenario assuming that the measures are tightened by 20% with respect to the last month.

Daily Estimated Infections

  • Estimated I This curve shows the daily estimated infections after correcting for bias due to the testing rate.

Projection of possible new Infected/Daily reported

Projection of daily hospitalized patients with unlimited bed capacity

Projection of daily ICU hospitalized patients with unlimited bed capacity

Daily death projection

Effective Reproduction Number

The effective reproduction number, R, represents the number of new cases that is generated from a positive case, according to cases reported by the Ministry of Public Health and Social Welfare of Paraguay.

When R = 1, each positive case infects only one more person and in this case the epidemic remains stable, observing a plateau in the number of cases.

When R is greater than 1, each positive case infects more than one person and in this case the epidemic is expanding and increases positive cases.

When R is less than 1, each positive case infects (on average) less than one person, and in this case the epidemic is in contraction and decreases positive cases.

Proportions

The graph shows the evolution of the proportions of positive cases that pass to be hospitalized, intensive care unit and deceased cases:

  • Proportion de h -> u Proportion of hospitalized cases that are transferred to intensive care.
  • Proportion de i -> h Proportion of infected cases that are hospitalized.
  • Proportion de u -> f Proportion of cases in intensive care who die.
  • Proportion de h -> f Proportion of hospitalized cases that die (without going through intensive care).
  • Proporción de i -> f Proportion of infected cases that die (without being hospitalized).

The light colored area represents the uncertainty with a 95% credible interval.

Model

The model used for the simulations is a compartment-based model. Details can be found at the following link.

More details

Team

Carlos, Gaona

Research assistant

Carlos, Sauer

Research associate

Miguel, García

Research associate

Sandra, Irala

Research associate

Esther, Pedrozo

Research associate

Leticia, Segovia

Research associate

Eduardo, De los Santos

Research associate

Guillermo Sequera

Research associate