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Paiva2020 - SEIAHRD model of transmission dynamics of COVID-19 Lab

About lab

Single-model lab wrapper for Paiva2020 - SEIAHRD model of transmission dynamics of COVID-19. This paper proposes a dynamic model to describe and forecast the dynamics of the coronavirus disease COVID-19 transmission. The model is based on an approach previously used to describe the Middle Eas.

Runtime

Duration10
Comms Step0.1

Runs

Total0
Completed0
Failed0

Metadata

Packagepaiva2020-seiahrd-model-of-transmission-dynamics-of-covid-19-lab
Created2026-05-15
Updated2026-05-15
biomodels_ebicuratedepidemiologyfaithfulsbmltelluriumvisualisation

Manifest

{
  "io": {
    "inputs": [
      {
        "name": "transmission_rate",
        "label": "Transmission Rate",
        "maps_to": "epidemiology_sbml_paiva2020_seiahrd_model_of_transmission_dynamics_biomd0000000960_model.transmission_rate"
      },
      {
        "name": "incubation_rate",
        "label": "Incubation Rate",
        "maps_to": "epidemiology_sbml_paiva2020_seiahrd_model_of_transmission_dynamics_biomd0000000960_model.incubation_rate"
      },
      {
        "name": "asymptomatic_fraction",
        "label": "Asymptomatic Fraction",
        "maps_to": "epidemiology_sbml_paiva2020_seiahrd_model_of_transmission_dynamics_biomd0000000960_model.asymptomatic_fraction"
      },
      {
        "name": "hospitalization_rate",
        "label": "Hospitalization Rate",
        "maps_to": "epidemiology_sbml_paiva2020_seiahrd_model_of_transmission_dynamics_biomd0000000960_model.hospitalization_rate"
      },
      {
        "name": "hospital_mortality_rate",
        "label": "Hospital Mortality Rate",
        "maps_to": "epidemiology_sbml_paiva2020_seiahrd_model_of_transmission_dynamics_biomd0000000960_model.hospital_mortality_rate"
      },
      {
        "name": "infectious_mortality_rate",
        "label": "Infectious Mortality Rate",
        "maps_to": "epidemiology_sbml_paiva2020_seiahrd_model_of_transmission_dynamics_biomd0000000960_model.infectious_mortality_rate"
      }
    ],
    "outputs": [
      {
        "name": "state",
        "label": "Model state",
        "maps_to": "epidemiology_sbml_paiva2020_seiahrd_model_of_transmission_dynamics_biomd0000000960_model.state"
      },
      {
        "name": "summary",
        "label": "Simulation summary",
        "maps_to": "epidemiology_sbml_paiva2020_seiahrd_model_of_transmission_dynamics_biomd0000000960_model.summary"
      },
      {
        "name": "species_labels",
        "label": "Species labels",
        "maps_to": "epidemiology_sbml_paiva2020_seiahrd_model_of_transmission_dynamics_biomd0000000960_model.species_labels"
      },
      {
        "name": "exposed",
        "label": "Exposed",
        "maps_to": "epidemiology_sbml_paiva2020_seiahrd_model_of_transmission_dynamics_biomd0000000960_model.exposed"
      },
      {
        "name": "infectious",
        "label": "Infectious",
        "maps_to": "epidemiology_sbml_paiva2020_seiahrd_model_of_transmission_dynamics_biomd0000000960_model.infectious"
      },
      {
        "name": "hospitalized",
        "label": "Hospitalized",
        "maps_to": "epidemiology_sbml_paiva2020_seiahrd_model_of_transmission_dynamics_biomd0000000960_model.hospitalized"
      },
      {
        "name": "deceased",
        "label": "Deceased",
        "maps_to": "epidemiology_sbml_paiva2020_seiahrd_model_of_transmission_dynamics_biomd0000000960_model.deceased"
      },
      {
        "name": "susceptible",
        "label": "Susceptible",
        "maps_to": "epidemiology_sbml_paiva2020_seiahrd_model_of_transmission_dynamics_biomd0000000960_model.susceptible"
      },
      {
        "name": "recovered",
        "label": "Recovered",
        "maps_to": "epidemiology_sbml_paiva2020_seiahrd_model_of_transmission_dynamics_biomd0000000960_model.recovered"
      },
      {
        "name": "asymptomatic",
        "label": "Asymptomatic",
        "maps_to": "epidemiology_sbml_paiva2020_seiahrd_model_of_transmission_dynamics_biomd0000000960_model.asymptomatic"
      },
      {
        "name": "cumulative_cases",
        "label": "Cumulative Cases",
        "maps_to": "epidemiology_sbml_paiva2020_seiahrd_model_of_transmission_dynamics_biomd0000000960_model.cumulative_cases"
      }
    ]
  },
  "title": "Paiva2020 - SEIAHRD model of transmission dynamics of COVID-19 Lab",
  "models": [
    {
      "path": "owned/models/epidemiology_sbml_paiva2020_seiahrd_model_of_transmission_dynamics_biomd0000000960_model",
      "alias": "epidemiology_sbml_paiva2020_seiahrd_model_of_transmission_dynamics_biomd0000000960_model",
      "parameters": {
        "model_path": "data/BIOMD0000000960.xml",
        "integration_step": 0.1
      },
      "provenance": {
        "owned_path": "owned/models/epidemiology_sbml_paiva2020_seiahrd_model_of_transmission_dynamics_biomd0000000960_model"
      }
    },
    {
      "path": "owned/models/visualisation",
      "alias": "visualisation",
      "provenance": {
        "owned_path": "owned/models/visualisation"
      }
    }
  ],
  "wiring": [
    {
      "to": [
        "visualisation.epidemiology_sbml_paiva2020_seiahrd_model_of_transmission_dynamics_biomd0000000960_model_state"
      ],
      "from": "epidemiology_sbml_paiva2020_seiahrd_model_of_transmission_dynamics_biomd0000000960_model.state"
    },
    {
      "to": [
        "visualisation.epidemiology_sbml_paiva2020_seiahrd_model_of_transmission_dynamics_biomd0000000960_model_summary"
      ],
      "from": "epidemiology_sbml_paiva2020_seiahrd_model_of_transmission_dynamics_biomd0000000960_model.summary"
    },
    {
      "to": [
        "visualisation.epidemiology_sbml_paiva2020_seiahrd_model_of_transmission_dynamics_biomd0000000960_model_species_labels"
      ],
      "from": "epidemiology_sbml_paiva2020_seiahrd_model_of_transmission_dynamics_biomd0000000960_model.species_labels"
    }
  ],
  "runtime": {
    "duration": 10,
    "initial_inputs": {},
    "communication_step": 0.1
  },
  "description": "Single-model lab wrapper for Paiva2020 - SEIAHRD model of transmission dynamics of COVID-19. This paper proposes a dynamic model to describe and forecast the dynamics of the coronavirus disease COVID-19 transmission. The model is based on an approach previously used to describe the Middle Eas.",
  "schema_version": "2.0"
}

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