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Hospital Emergency and SOS Médecins Data Relating to the COVID-19 Epidemic in FranceDonnées urgences hospitalières - SOS Médecins relatives à l'épidémie de COVID-19 en France
Données urgences hospitalières - SOS Médecins relatives à l'épidémie de COVID-19 en FranceHospital Emergency and SOS Médecins Data Relating to the COVID-19 Epidemic in France
This API provides data on hospital emergency department and SOS Médecins visits related to the COVID-19 epidemic in France, republished via the Brittany regional open data portal. The underlying data is produced by Santé publique France, the national public health agency responsible for monitoring and understanding the dynamics of the epidemic, anticipating its evolution, and informing public health response measures. The dataset supports epidemiological surveillance by tracking emergency care activity associated with COVID-19 across the country.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...
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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.
| Fill | Field | Type | Description |
|---|---|---|---|
| 100% | dep_codereg | text | Department code of the record.Department code of the record. |
| 100% | datedate_de_passage | date | Date of the emergency visit.Date of the emergency visit. |
| 100% | nb_pass_emgy_covidnbre_pass_corona | int | Number of emergency room visits for suspected COVID-19.Nombre de passages aux urgences pour suspicion de COVID-19 |
| 100% | tot_pass_emgynbre_pass_tot | int | Total number of emergency room visits.Nombre de passages aux urgences total |
| 100% | nb_ho_emgy_covidnbre_hospit_corona | int | Number of hospitalizations among emergency visits for suspected COVID-19.Nombre d'hospitalisations parmi les passages aux urgences pour suspicion de COVID-19 |
| 14.3% | nb_pass_emgy_covid_mnbre_pass_corona_h | int | Number of male emergency visits for suspected COVID-19.Number of male emergency visits for suspected COVID-19. |
| 14.3% | nb_pass_emgy_covid_fnbre_pass_corona_f | int | Number of female emergency visits for suspected COVID-19.Number of female emergency visits for suspected COVID-19. |
| 14.3% | tot_pass_emgy_mnbre_pass_tot_h | int | Total number of male emergency room visits.Total number of male emergency room visits. |
| 14.3% | tot_pass_emgy_fnbre_pass_tot_f | int | Total number of female emergency room visits.Total number of female emergency room visits. |
| 14.3% | nb_ho_emgy_covid_mnbre_hospit_corona_h | int | Number of male hospitalizations among COVID-19 suspected emergency visits.Number of male hospitalizations among COVID-19 suspected emergency visits. |
| 14.3% | nb_ho_emgy_covid_fnbre_hospit_corona_f | int | Number of female hospitalizations among COVID-19 suspected emergency visits.Number of female hospitalizations among COVID-19 suspected emergency visits. |
| 74.9% | nb_acte_sos_covidnbre_acte_corona | int | Number of SOS Médecins medical acts for suspected COVID-19.Nombres d'actes médicaux SOS Médecins pour suspicion de COVID-19 |
| 74.9% | tot_acte_sosnbre_acte_tot | int | Total number of SOS Médecins medical acts.Nombres d'actes médicaux SOS Médecins total |
| 10.7% | nb_sos_covid_mnbre_acte_corona_h | int | Number of male SOS Médecins acts for suspected COVID-19.Number of male SOS Médecins acts for suspected COVID-19. |
| 10.7% | nb_sos_covid_fnbre_acte_corona_f | int | Number of female SOS Médecins acts for suspected COVID-19.Number of female SOS Médecins acts for suspected COVID-19. |
| 10.7% | tot_sos_mnbre_acte_tot_h | int | Total number of male SOS Médecins medical acts.Total number of male SOS Médecins medical acts. |
| 10.7% | tot_sos_fnbre_acte_tot_f | int | Total number of female SOS Médecins medical acts.Total number of female SOS Médecins medical acts. |
| 100% | reg_codeCode de la région | int | Region code of the record.Region code of the record. |
| 100% | countrycode_iso_3166_1_alpha3Code ISO 3166 de la zone | text | ISO 3166-1 alpha-3 country code of the area.ISO 3166-1 alpha-3 country code of the area. |
| 100% | region_minNom région | text | Name of the region.Name of the region. |
| — | nom_dep_minNom du département | text | Name of the department.Name of the department. |
| — | age_labelLibellé tranches d'âge | text | Label of the age group.Label of the age group. |
| — | geo_point_2dCoordinates | geo_point_2d | Geographic coordinates of the area.Geographic coordinates of the area. |
Schema captured from opendatasoft 3 days ago.
Query the data
Pick columns and a sort, then fetch a live preview straight from the source. Choose an API-filterable column (marked ▾) under “Where” to pick from its list of values.
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Sample data (5 records)
Record 1date: 2024-02-06 · dep_code: 56
{
"date": "2024-02-06",
"dep_code": "56",
"reg_code": 53,
"age_label": "tous âges",
"tot_sos_f": 69,
"tot_sos_m": 51,
"region_min": "Bretagne",
"nom_dep_min": "Morbihan",
"geo_point_2d": {
"lat": 47.8441455862,
"lon": -2.8088066223
},
"tot_acte_sos": 120,
"tot_pass_emgy": 441,
"nb_sos_covid_f": 1,
"nb_sos_covid_m": 0,
"tot_pass_emgy_f": 213,
"tot_pass_emgy_m": 228,
"nb_ho_emgy_covid": 0,
"nb_acte_sos_covid": 1,
"nb_ho_emgy_covid_f": 0,
"nb_ho_emgy_covid_m": 0,
"nb_pass_emgy_covid": 1,
"nb_pass_emgy_covid_f": 1,
"nb_pass_emgy_covid_m": 0,
"countrycode_iso_3166_1_alpha3": "FRA"
}Record 2date: 2023-03-19 · dep_code: 56
{
"date": "2023-03-19",
"dep_code": "56",
"reg_code": 53,
"age_label": "tous âges",
"tot_sos_f": 86,
"tot_sos_m": 67,
"region_min": "Bretagne",
"nom_dep_min": "Morbihan",
"geo_point_2d": {
"lat": 47.8441455862,
"lon": -2.8088066223
},
"tot_acte_sos": 153,
"tot_pass_emgy": 466,
"nb_sos_covid_f": 0,
"nb_sos_covid_m": 0,
"tot_pass_emgy_f": 212,
"tot_pass_emgy_m": 254,
"nb_ho_emgy_covid": 2,
"nb_acte_sos_covid": 0,
"nb_ho_emgy_covid_f": 2,
"nb_ho_emgy_covid_m": 0,
"nb_pass_emgy_covid": 3,
"nb_pass_emgy_covid_f": 2,
"nb_pass_emgy_covid_m": 1,
"countrycode_iso_3166_1_alpha3": "FRA"
}Record 3date: 2023-06-02 · dep_code: 29
{
"date": "2023-06-02",
"dep_code": "29",
"reg_code": 53,
"age_label": "0-4 ans",
"tot_sos_f": null,
"tot_sos_m": null,
"region_min": "Bretagne",
"nom_dep_min": "Finistère",
"geo_point_2d": {
"lat": 48.2628706879,
"lon": -4.05692098846
},
"tot_acte_sos": 27,
"tot_pass_emgy": 42,
"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 4date: 2023-12-18 · dep_code: 22
{
"date": "2023-12-18",
"dep_code": "22",
"reg_code": 53,
"age_label": "65-74 ans",
"tot_sos_f": null,
"tot_sos_m": null,
"region_min": "Bretagne",
"nom_dep_min": "Côtes-d'Armor",
"geo_point_2d": {
"lat": 48.4390612443,
"lon": -2.86206319142
},
"tot_acte_sos": null,
"tot_pass_emgy": 51,
"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": 0,
"nb_pass_emgy_covid_f": null,
"nb_pass_emgy_covid_m": null,
"countrycode_iso_3166_1_alpha3": "FRA"
}Record 5date: 2023-07-11 · dep_code: 35
{
"date": "2023-07-11",
"dep_code": "35",
"reg_code": 53,
"age_label": "5-14 ans",
"tot_sos_f": null,
"tot_sos_m": null,
"region_min": "Bretagne",
"nom_dep_min": "Ille-et-Vilaine",
"geo_point_2d": {
"lat": 48.1584949366,
"lon": -1.63554809717
},
"tot_acte_sos": 15,
"tot_pass_emgy": 66,
"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"
}Live sample captured at profiling time — values may have changed upstream.
Verification Status
Using the API
Configuration
- Base URL
- https://data.bretagne.bzh/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.bretagne.bzh/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.
Rate limits
10 000 000 req/day
per ipmeasured
observed 3 days ago
Dataset
Volume & freshness
Records
21k
20608
Last upstream update
11 months ago
2025-12-12
License
No license declared upstream.
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Source: opendatasoft
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