BiosimulantBiosimulant
Docs
Search labs...
Sign inGet Started

Okuonghae2020 - SEAIR model of COVID-19 transmission in Lagos, Nigeria Lab

About lab

Single-model lab wrapper for Okuonghae2020 - SEAIR model of COVID-19 transmission in Lagos, Nigeria. This work examines the impact of various non-pharmaceutical control measures (government and personal) on the population dynamics of the novel coronavirus disease 2019 (COVID-19) in Lagos, Nigeria, us. It can be used to explore transmission dynamics and compare scenario outcomes across conditions.

Runtime

Duration10
Comms Step0.1

Runs

Total0
Completed0
Failed0

Metadata

Packageokuonghae2020-seair-model-of-covid-19-transmission-in-lagos-nige
Created2026-05-15
Updated2026-05-15
biomodels_ebicuratedepidemiologyfaithfulsbmltelluriumvisualisation

Manifest

{
  "io": {
    "inputs": [
      {
        "name": "incubation_rate",
        "label": "Incubation Rate",
        "maps_to": "epidemiology_sbml_okuonghae2020_seair_model_of_covid_19_transmissi_biomd0000000991_model.incubation_rate"
      }
    ],
    "outputs": [
      {
        "name": "state",
        "label": "Model state",
        "maps_to": "epidemiology_sbml_okuonghae2020_seair_model_of_covid_19_transmissi_biomd0000000991_model.state"
      },
      {
        "name": "summary",
        "label": "Simulation summary",
        "maps_to": "epidemiology_sbml_okuonghae2020_seair_model_of_covid_19_transmissi_biomd0000000991_model.summary"
      },
      {
        "name": "species_labels",
        "label": "Species labels",
        "maps_to": "epidemiology_sbml_okuonghae2020_seair_model_of_covid_19_transmissi_biomd0000000991_model.species_labels"
      },
      {
        "name": "asymptomatic",
        "label": "Asymptomatic",
        "maps_to": "epidemiology_sbml_okuonghae2020_seair_model_of_covid_19_transmissi_biomd0000000991_model.asymptomatic"
      },
      {
        "name": "exposed",
        "label": "Exposed",
        "maps_to": "epidemiology_sbml_okuonghae2020_seair_model_of_covid_19_transmissi_biomd0000000991_model.exposed"
      },
      {
        "name": "deceased",
        "label": "Deceased",
        "maps_to": "epidemiology_sbml_okuonghae2020_seair_model_of_covid_19_transmissi_biomd0000000991_model.deceased"
      },
      {
        "name": "susceptible",
        "label": "Susceptible",
        "maps_to": "epidemiology_sbml_okuonghae2020_seair_model_of_covid_19_transmissi_biomd0000000991_model.susceptible"
      },
      {
        "name": "recovered",
        "label": "Recovered",
        "maps_to": "epidemiology_sbml_okuonghae2020_seair_model_of_covid_19_transmissi_biomd0000000991_model.recovered"
      },
      {
        "name": "symptomatic",
        "label": "Symptomatic",
        "maps_to": "epidemiology_sbml_okuonghae2020_seair_model_of_covid_19_transmissi_biomd0000000991_model.symptomatic"
      },
      {
        "name": "detected",
        "label": "Detected",
        "maps_to": "epidemiology_sbml_okuonghae2020_seair_model_of_covid_19_transmissi_biomd0000000991_model.detected"
      },
      {
        "name": "detected_cumulative",
        "label": "Detected cumulative",
        "maps_to": "epidemiology_sbml_okuonghae2020_seair_model_of_covid_19_transmissi_biomd0000000991_model.detected_cumulative"
      }
    ]
  },
  "title": "Okuonghae2020 - SEAIR model of COVID-19 transmission in Lagos, Nigeria Lab",
  "models": [
    {
      "path": "owned/models/epidemiology_sbml_okuonghae2020_seair_model_of_covid_19_transmissi_biomd0000000991_model",
      "alias": "epidemiology_sbml_okuonghae2020_seair_model_of_covid_19_transmissi_biomd0000000991_model",
      "parameters": {
        "model_path": "data/BIOMD0000000991.xml",
        "integration_step": 0.1
      },
      "provenance": {
        "owned_path": "owned/models/epidemiology_sbml_okuonghae2020_seair_model_of_covid_19_transmissi_biomd0000000991_model"
      }
    },
    {
      "path": "owned/models/visualisation",
      "alias": "visualisation",
      "provenance": {
        "owned_path": "owned/models/visualisation"
      }
    }
  ],
  "wiring": [
    {
      "to": [
        "visualisation.epidemiology_sbml_okuonghae2020_seair_model_of_covid_19_transmissi_biomd0000000991_model_state"
      ],
      "from": "epidemiology_sbml_okuonghae2020_seair_model_of_covid_19_transmissi_biomd0000000991_model.state"
    },
    {
      "to": [
        "visualisation.epidemiology_sbml_okuonghae2020_seair_model_of_covid_19_transmissi_biomd0000000991_model_summary"
      ],
      "from": "epidemiology_sbml_okuonghae2020_seair_model_of_covid_19_transmissi_biomd0000000991_model.summary"
    },
    {
      "to": [
        "visualisation.epidemiology_sbml_okuonghae2020_seair_model_of_covid_19_transmissi_biomd0000000991_model_species_labels"
      ],
      "from": "epidemiology_sbml_okuonghae2020_seair_model_of_covid_19_transmissi_biomd0000000991_model.species_labels"
    }
  ],
  "runtime": {
    "duration": 10,
    "initial_inputs": {},
    "communication_step": 0.1
  },
  "description": "Single-model lab wrapper for Okuonghae2020 - SEAIR model of COVID-19 transmission in Lagos, Nigeria. This work examines the impact of various non-pharmaceutical control measures (government and personal) on the population dynamics of the novel coronavirus disease 2019 (COVID-19) in Lagos, Nigeria, us. 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.