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Hospital emergency and SOS Médecins data on the COVID-19 epidemic in Île-de-FranceDonnées urgences hospitalières - SOS Médécins relatives à l'épidémie de COVID-19 en Île-de-France

Données urgences hospitalières - SOS Médécins relatives à l'épidémie de COVID-19 en Île-de-FranceHospital emergency and SOS Médecins data on the COVID-19 epidemic in Île-de-France

APIDiscovered1/7blocked by verifiedQuery nowOpen workbenchSubscribe🇫🇷France

This dataset provides data on hospital emergency department visits and SOS Médecins consultations related to the COVID-19 epidemic in the Île-de-France region. It is published as part of the work of Santé publique France, the French national public health agency, whose mission is to improve and protect population health. During the health crisis, the agency monitored and analysed the epidemic's dynamics, anticipated possible scenarios, and supported public health decision-making. The data can be used to track the regional evolution of emergency healthcare demand linked to COVID-19 over time.Santé publique France a pour mission d'améliorer et de protéger la santé des populations. Durant la crise sanitaire liée à l'épidémie du COVID-19, Santé publique France se charge de surveiller et comprendre la dynamique de l'épidémie, d'anticiper les différents scénarii et de mettre en place des...

32
poor

Weighted across five axes. Tap a ring for what it measures.

Data schema (23 fields)

Filterable via the API (22)
dep_codedatenb_pass_emgy_covidtot_pass_emgynb_ho_emgy_covidnb_pass_emgy_covid_mnb_pass_emgy_covid_ftot_pass_emgy_mtot_pass_emgy_fnb_ho_emgy_covid_mnb_ho_emgy_covid_fnb_acte_sos_covidtot_acte_sosnb_sos_covid_mnb_sos_covid_ftot_sos_mtot_sos_freg_codecountrycode_iso_3166_1_alpha3region_minnom_dep_minage_label

Click a field to see example values.

FillFieldTypeDescription
100%dep_codeFilterable via the APIregtextDepartment code.Department code.
100%dateFilterable via the APIdate_de_passagedateDate of emergency room visit.Date of emergency room visit.
100%nb_pass_emgy_covidFilterable via the APInbre_pass_coronaintNumber of emergency room visits for suspected COVID-19.Nombre de passages aux urgences pour suspicion de COVID-19
100%tot_pass_emgyFilterable via the APInbre_pass_totintTotal number of emergency room visits.Nombre de passages aux urgences total
100%nb_ho_emgy_covidFilterable via the APInbre_hospit_coronaintNumber of hospitalizations among COVID-19 suspected emergency visits.Nombre d'hospitalisations parmi les passages aux urgences pour suspicion de COVID-19
14.3%nb_pass_emgy_covid_mFilterable via the APInbre_pass_corona_hintNumber of male emergency room visits for suspected COVID-19.Number of male emergency room visits for suspected COVID-19.
14.3%nb_pass_emgy_covid_fFilterable via the APInbre_pass_corona_fintNumber of female emergency room visits for suspected COVID-19.Number of female emergency room visits for suspected COVID-19.
14.3%tot_pass_emgy_mFilterable via the APInbre_pass_tot_hintTotal number of male emergency room visits.Total number of male emergency room visits.
14.3%tot_pass_emgy_fFilterable via the APInbre_pass_tot_fintTotal number of female emergency room visits.Total number of female emergency room visits.
14.3%nb_ho_emgy_covid_mFilterable via the APInbre_hospit_corona_hintNumber of male hospitalizations among suspected COVID-19 emergency visits.Number of male hospitalizations among suspected COVID-19 emergency visits.
14.3%nb_ho_emgy_covid_fFilterable via the APInbre_hospit_corona_fintNumber of female hospitalizations among suspected COVID-19 emergency visits.Number of female hospitalizations among suspected COVID-19 emergency visits.
59.5%nb_acte_sos_covidFilterable via the APInbre_acte_coronaintNumber of SOS Médecins medical acts for suspected COVID-19.Nombres d'actes médicaux SOS Médecins pour suspicion de COVID-19
59.5%tot_acte_sosFilterable via the APInbre_acte_totintTotal number of SOS Médecins medical acts.Nombres d'actes médicaux SOS Médecins total
8.5%nb_sos_covid_mFilterable via the APInbre_acte_corona_hintNumber of male SOS Médecins acts for suspected COVID-19.Number of male SOS Médecins acts for suspected COVID-19.
8.5%nb_sos_covid_fFilterable via the APInbre_acte_corona_fintNumber of female SOS Médecins acts for suspected COVID-19.Number of female SOS Médecins acts for suspected COVID-19.
8.5%tot_sos_mFilterable via the APInbre_acte_tot_hintTotal number of male SOS Médecins medical acts.Total number of male SOS Médecins medical acts.
8.5%tot_sos_fFilterable via the APInbre_acte_tot_fintTotal number of female SOS Médecins medical acts.Total number of female SOS Médecins medical acts.
100%reg_codeFilterable via the APICode de la régionintRegion code.Region code.
100%countrycode_iso_3166_1_alpha3Filterable via the APICode ISO 3166 de la zonetextISO 3166-1 alpha-3 country code of the area.ISO 3166-1 alpha-3 country code of the area.
100%region_minFilterable via the APINom régiontextName of the region.Name of the region.
—nom_dep_minFilterable via the APINom du départementtextName of the department.Name of the department.
—age_labelFilterable via the APILibellé tranches d'âgetextLabel of the age group.Label of the age group.
—geo_point_2dCoordinatesgeo_point_2dGeographic coordinates of the area.Geographic coordinates of the area.

Schema captured from opendatasoft 2 days ago.

Query the data

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Sample data (5 records)

Record 1date: 2024-01-05 · dep_code: 77
{
  "date": "2024-01-05",
  "dep_code": "77",
  "reg_code": 11,
  "age_label": "0-4 ans",
  "tot_sos_f": null,
  "tot_sos_m": null,
  "region_min": "Île-de-France",
  "nom_dep_min": "Seine-et-Marne",
  "geo_point_2d": {
    "lat": 48.6281210472,
    "lon": 2.93531969909
  },
  "tot_acte_sos": 70,
  "tot_pass_emgy": 149,
  "nb_sos_covid_f": null,
  "nb_sos_covid_m": null,
  "tot_pass_emgy_f": null,
  "tot_pass_emgy_m": null,
  "nb_ho_emgy_covid": 0,
  "nb_acte_sos_covid": 0,
  "nb_ho_emgy_covid_f": null,
  "nb_ho_emgy_covid_m": null,
  "nb_pass_emgy_covid": 1,
  "nb_pass_emgy_covid_f": null,
  "nb_pass_emgy_covid_m": null,
  "countrycode_iso_3166_1_alpha3": "FRA"
}
Record 2date: 2023-05-04 · dep_code: 91
{
  "date": "2023-05-04",
  "dep_code": "91",
  "reg_code": 11,
  "age_label": "5-14 ans",
  "tot_sos_f": null,
  "tot_sos_m": null,
  "region_min": "Île-de-France",
  "nom_dep_min": "Essonne",
  "geo_point_2d": {
    "lat": 48.5174587303,
    "lon": 2.24865517666
  },
  "tot_acte_sos": 13,
  "tot_pass_emgy": 110,
  "nb_sos_covid_f": null,
  "nb_sos_covid_m": null,
  "tot_pass_emgy_f": null,
  "tot_pass_emgy_m": null,
  "nb_ho_emgy_covid": 0,
  "nb_acte_sos_covid": 0,
  "nb_ho_emgy_covid_f": null,
  "nb_ho_emgy_covid_m": null,
  "nb_pass_emgy_covid": 0,
  "nb_pass_emgy_covid_f": null,
  "nb_pass_emgy_covid_m": null,
  "countrycode_iso_3166_1_alpha3": "FRA"
}
Record 3date: 2024-10-27 · dep_code: 75
{
  "date": "2024-10-27",
  "dep_code": "75",
  "reg_code": 11,
  "age_label": "5-14 ans",
  "tot_sos_f": null,
  "tot_sos_m": null,
  "region_min": "Île-de-France",
  "nom_dep_min": "Paris",
  "geo_point_2d": {
    "lat": 48.8557954256,
    "lon": 2.34411308321
  },
  "tot_acte_sos": 73,
  "tot_pass_emgy": 137,
  "nb_sos_covid_f": null,
  "nb_sos_covid_m": null,
  "tot_pass_emgy_f": null,
  "tot_pass_emgy_m": null,
  "nb_ho_emgy_covid": 0,
  "nb_acte_sos_covid": 0,
  "nb_ho_emgy_covid_f": null,
  "nb_ho_emgy_covid_m": null,
  "nb_pass_emgy_covid": 0,
  "nb_pass_emgy_covid_f": null,
  "nb_pass_emgy_covid_m": null,
  "countrycode_iso_3166_1_alpha3": "FRA"
}
Record 4date: 2023-01-18 · dep_code: 94
{
  "date": "2023-01-18",
  "dep_code": "94",
  "reg_code": 11,
  "age_label": "15-44 ans",
  "tot_sos_f": null,
  "tot_sos_m": null,
  "region_min": "Île-de-France",
  "nom_dep_min": "Val-de-Marne",
  "geo_point_2d": {
    "lat": 48.7692936982,
    "lon": 2.47462077077
  },
  "tot_acte_sos": null,
  "tot_pass_emgy": 494,
  "nb_sos_covid_f": null,
  "nb_sos_covid_m": null,
  "tot_pass_emgy_f": null,
  "tot_pass_emgy_m": null,
  "nb_ho_emgy_covid": 0,
  "nb_acte_sos_covid": null,
  "nb_ho_emgy_covid_f": null,
  "nb_ho_emgy_covid_m": null,
  "nb_pass_emgy_covid": 2,
  "nb_pass_emgy_covid_f": null,
  "nb_pass_emgy_covid_m": null,
  "countrycode_iso_3166_1_alpha3": "FRA"
}
Record 5date: 2024-09-15 · dep_code: 91
{
  "date": "2024-09-15",
  "dep_code": "91",
  "reg_code": 11,
  "age_label": "tous âges",
  "tot_sos_f": 78,
  "tot_sos_m": 57,
  "region_min": "Île-de-France",
  "nom_dep_min": "Essonne",
  "geo_point_2d": {
    "lat": 48.5174587303,
    "lon": 2.24865517666
  },
  "tot_acte_sos": 135,
  "tot_pass_emgy": 647,
  "nb_sos_covid_f": 2,
  "nb_sos_covid_m": 1,
  "tot_pass_emgy_f": 325,
  "tot_pass_emgy_m": 322,
  "nb_ho_emgy_covid": 0,
  "nb_acte_sos_covid": 3,
  "nb_ho_emgy_covid_f": 0,
  "nb_ho_emgy_covid_m": 0,
  "nb_pass_emgy_covid": 2,
  "nb_pass_emgy_covid_f": 1,
  "nb_pass_emgy_covid_m": 1,
  "countrycode_iso_3166_1_alpha3": "FRA"
}

Live sample captured at profiling time — values may have changed upstream.

Verification Status

Using the API

Configuration

Base URL
https://data.iledefrance.fr/api/explore/v2.1/catalog/datasets/donnees-urgences-hospitalieres-sos-medecins-relatives-a-lepidemie-de-covid-19-en

License

  • ✓ Redistributable
  • ✓ Attribution required

Query examples

curl -s 'https://data.iledefrance.fr/api/explore/v2.1/catalog/datasets/donnees-urgences-hospitalieres-sos-medecins-relatives-a-lepidemie-de-covid-19-en/records?limit=20' -H 'Accept: application/json'

First 20 records of the dataset as JSON.

Uses the Opendatasoft Explore v2.1 syntax — supports select, where, group_by and order_by.

Full API documentation ↗

Rate limits

10 000 000 req/day
per ipmeasured
observed 2 days ago

Dataset

Volume & freshness

Records
41k
41216
Update cadence
Daily
declared upstream
Last upstream update
11 months ago
2025-12-12
Temporal coverage
2020 → ongoing

License

No license declared upstream.

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Source: opendatasoft

Machine-readable & source

Données urgences hospitalières - SOS Médécins relatives à l'épidémie de COVID-19 en Île-de-France — live verification badge

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