BiosimulantBiosimulant
Docs
Search labs...
Sign inGet Started

Zongo2020 - model of COVID-19 transmission dynamics under containment measures in France Lab

About lab

Single-model lab wrapper for Zongo2020 - model of COVID-19 transmission dynamics under containment measures in France. The main objective of this paper is to address the following question: are the containment measures imposed by most of the world governments effective and sufficient to stop the epidemic of COVID-19 b. It can be used to explore transmission dynamics and compare scenario outcomes across conditions.

Runtime

Duration10
Comms Step0.1

Runs

Total0
Completed0
Failed0

Metadata

Packagezongo2020-model-of-covid-19-transmission-dynamics-under-containm
Created2026-05-15
Updated2026-05-15
biomodels_ebicuratedepidemiologyfaithfulsbmltelluriumvisualisation

Manifest

{
  "io": {
    "inputs": [
      {
        "name": "transmission_probability",
        "label": "Transmission Probability",
        "maps_to": "epidemiology_sbml_zongo2020_model_of_covid_19_transmission_dynamic_biomd0000000983_model.transmission_probability"
      },
      {
        "name": "incubation_rate",
        "label": "Incubation Rate",
        "maps_to": "epidemiology_sbml_zongo2020_model_of_covid_19_transmission_dynamic_biomd0000000983_model.incubation_rate"
      },
      {
        "name": "containment_quarantine_rate",
        "label": "Containment Quarantine Rate",
        "maps_to": "epidemiology_sbml_zongo2020_model_of_covid_19_transmission_dynamic_biomd0000000983_model.containment_quarantine_rate"
      },
      {
        "name": "confinement_fraction",
        "label": "Confinement Fraction",
        "maps_to": "epidemiology_sbml_zongo2020_model_of_covid_19_transmission_dynamic_biomd0000000983_model.confinement_fraction"
      },
      {
        "name": "unreported_infection_fraction",
        "label": "Unreported Infection Fraction",
        "maps_to": "epidemiology_sbml_zongo2020_model_of_covid_19_transmission_dynamic_biomd0000000983_model.unreported_infection_fraction"
      }
    ],
    "outputs": [
      {
        "name": "state",
        "label": "Model state",
        "maps_to": "epidemiology_sbml_zongo2020_model_of_covid_19_transmission_dynamic_biomd0000000983_model.state"
      },
      {
        "name": "summary",
        "label": "Simulation summary",
        "maps_to": "epidemiology_sbml_zongo2020_model_of_covid_19_transmission_dynamic_biomd0000000983_model.summary"
      },
      {
        "name": "species_labels",
        "label": "Species labels",
        "maps_to": "epidemiology_sbml_zongo2020_model_of_covid_19_transmission_dynamic_biomd0000000983_model.species_labels"
      },
      {
        "name": "susceptible_unconfined",
        "label": "Susceptible unconfined",
        "maps_to": "epidemiology_sbml_zongo2020_model_of_covid_19_transmission_dynamic_biomd0000000983_model.susceptible_unconfined"
      },
      {
        "name": "infected_unreported",
        "label": "Infected unreported",
        "maps_to": "epidemiology_sbml_zongo2020_model_of_covid_19_transmission_dynamic_biomd0000000983_model.infected_unreported"
      },
      {
        "name": "susceptible_confined",
        "label": "Susceptible confined",
        "maps_to": "epidemiology_sbml_zongo2020_model_of_covid_19_transmission_dynamic_biomd0000000983_model.susceptible_confined"
      },
      {
        "name": "exposed",
        "label": "Exposed",
        "maps_to": "epidemiology_sbml_zongo2020_model_of_covid_19_transmission_dynamic_biomd0000000983_model.exposed"
      },
      {
        "name": "infected_reported",
        "label": "Infected reported",
        "maps_to": "epidemiology_sbml_zongo2020_model_of_covid_19_transmission_dynamic_biomd0000000983_model.infected_reported"
      },
      {
        "name": "recovered",
        "label": "Recovered",
        "maps_to": "epidemiology_sbml_zongo2020_model_of_covid_19_transmission_dynamic_biomd0000000983_model.recovered"
      },
      {
        "name": "quarantined",
        "label": "Quarantined",
        "maps_to": "epidemiology_sbml_zongo2020_model_of_covid_19_transmission_dynamic_biomd0000000983_model.quarantined"
      }
    ]
  },
  "title": "Zongo2020 - model of COVID-19 transmission dynamics under containment measures in France Lab",
  "models": [
    {
      "path": "owned/models/epidemiology_sbml_zongo2020_model_of_covid_19_transmission_dynamic_biomd0000000983_model",
      "alias": "epidemiology_sbml_zongo2020_model_of_covid_19_transmission_dynamic_biomd0000000983_model",
      "parameters": {
        "model_path": "data/BIOMD0000000983.xml",
        "integration_step": 0.1
      },
      "provenance": {
        "owned_path": "owned/models/epidemiology_sbml_zongo2020_model_of_covid_19_transmission_dynamic_biomd0000000983_model"
      }
    },
    {
      "path": "owned/models/visualisation",
      "alias": "visualisation",
      "provenance": {
        "owned_path": "owned/models/visualisation"
      }
    }
  ],
  "wiring": [
    {
      "to": [
        "visualisation.epidemiology_sbml_zongo2020_model_of_covid_19_transmission_dynamic_biomd0000000983_model_state"
      ],
      "from": "epidemiology_sbml_zongo2020_model_of_covid_19_transmission_dynamic_biomd0000000983_model.state"
    },
    {
      "to": [
        "visualisation.epidemiology_sbml_zongo2020_model_of_covid_19_transmission_dynamic_biomd0000000983_model_summary"
      ],
      "from": "epidemiology_sbml_zongo2020_model_of_covid_19_transmission_dynamic_biomd0000000983_model.summary"
    },
    {
      "to": [
        "visualisation.epidemiology_sbml_zongo2020_model_of_covid_19_transmission_dynamic_biomd0000000983_model_species_labels"
      ],
      "from": "epidemiology_sbml_zongo2020_model_of_covid_19_transmission_dynamic_biomd0000000983_model.species_labels"
    }
  ],
  "runtime": {
    "duration": 10,
    "initial_inputs": {},
    "communication_step": 0.1
  },
  "description": "Single-model lab wrapper for Zongo2020 - model of COVID-19 transmission dynamics under containment measures in France. The main objective of this paper is to address the following question: are the containment measures imposed by most of the world governments effective and sufficient to stop the epidemic of COVID-19 b. It can be used to explore transmission dynamics and compare scenario outcomes across conditions.",
  "schema_version": "2.0"
}

Sign in to start your own run. Public-lab history stays visible here.

Select a run from History to view its results.