[ARCHIVES] Données urgences hospitalières - SOS Médécins relatives à l'épidémie de COVID-19 en France
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)
Click a field to see example values.
| Field | Type | Description |
|---|---|---|
| dep_codereg | text | — |
| datedate_de_passage | date | — |
| nb_pass_emgy_covidnbre_pass_corona | int | Nombre de passages aux urgences pour suspicion de COVID-19 |
| tot_pass_emgynbre_pass_tot | int | Nombre de passages aux urgences total |
| nb_ho_emgy_covidnbre_hospit_corona | int | Nombre d'hospitalisations parmi les passages aux urgences pour suspicion de COVID-19 |
| nb_pass_emgy_covid_mnbre_pass_corona_h | int | — |
| nb_pass_emgy_covid_fnbre_pass_corona_f | int | — |
| tot_pass_emgy_mnbre_pass_tot_h | int | — |
| tot_pass_emgy_fnbre_pass_tot_f | int | — |
| nb_ho_emgy_covid_mnbre_hospit_corona_h | int | — |
| nb_ho_emgy_covid_fnbre_hospit_corona_f | int | — |
| nb_acte_sos_covidnbre_acte_corona | int | Nombres d'actes médicaux SOS Médecins pour suspicion de COVID-19 |
| tot_acte_sosnbre_acte_tot | int | Nombres d'actes médicaux SOS Médecins total |
| nb_sos_covid_mnbre_acte_corona_h | int | — |
| nb_sos_covid_fnbre_acte_corona_f | int | — |
| tot_sos_mnbre_acte_tot_h | int | — |
| tot_sos_fnbre_acte_tot_f | int | — |
| reg_codeCode de la région | int | — |
| countrycode_iso_3166_1_alpha3Code ISO 3166 de la zone | text | — |
| region_minNom région | text | — |
| nom_dep_minNom du département | text | — |
| age_labelLibellé tranches d'âge | text | — |
| geo_point_2dCoordinates | geo_point_2d | — |
Schema captured from opendatasoft 2 hours 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.
Sample data (5 records)
Record 1date: 2024-06-05 · dep_code: 10
{
"date": "2024-06-05",
"dep_code": "10",
"reg_code": 44,
"age_label": "tous âges",
"tot_sos_f": 90,
"tot_sos_m": 82,
"region_min": "Grand Est",
"nom_dep_min": "Aube",
"geo_point_2d": {
"lat": 48.3056988371,
"lon": 4.15915758483
},
"tot_acte_sos": 172,
"tot_pass_emgy": 163,
"nb_sos_covid_f": 0,
"nb_sos_covid_m": 1,
"tot_pass_emgy_f": 68,
"tot_pass_emgy_m": 95,
"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": 0,
"nb_pass_emgy_covid_f": 0,
"nb_pass_emgy_covid_m": 0,
"countrycode_iso_3166_1_alpha3": "FRA"
}Record 2date: 2024-06-25 · dep_code: 10
{
"date": "2024-06-25",
"dep_code": "10",
"reg_code": 44,
"age_label": "65-74 ans",
"tot_sos_f": null,
"tot_sos_m": null,
"region_min": "Grand Est",
"nom_dep_min": "Aube",
"geo_point_2d": {
"lat": 48.3056988371,
"lon": 4.15915758483
},
"tot_acte_sos": 5,
"tot_pass_emgy": 17,
"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: 2024-06-29 · dep_code: 10
{
"date": "2024-06-29",
"dep_code": "10",
"reg_code": 44,
"age_label": "45-64 ans",
"tot_sos_f": null,
"tot_sos_m": null,
"region_min": "Grand Est",
"nom_dep_min": "Aube",
"geo_point_2d": {
"lat": 48.3056988371,
"lon": 4.15915758483
},
"tot_acte_sos": 20,
"tot_pass_emgy": 33,
"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: 2024-06-30 · dep_code: 10
{
"date": "2024-06-30",
"dep_code": "10",
"reg_code": 44,
"age_label": "65-74 ans",
"tot_sos_f": null,
"tot_sos_m": null,
"region_min": "Grand Est",
"nom_dep_min": "Aube",
"geo_point_2d": {
"lat": 48.3056988371,
"lon": 4.15915758483
},
"tot_acte_sos": 4,
"tot_pass_emgy": 16,
"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 5date: 2024-07-04 · dep_code: 10
{
"date": "2024-07-04",
"dep_code": "10",
"reg_code": 44,
"age_label": "45-64 ans",
"tot_sos_f": null,
"tot_sos_m": null,
"region_min": "Grand Est",
"nom_dep_min": "Aube",
"geo_point_2d": {
"lat": 48.3056988371,
"lon": 4.15915758483
},
"tot_acte_sos": 19,
"tot_pass_emgy": 31,
"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.
Using the API
Configuration
- Base URL
- https://data.ampmetropole.fr/api/explore/v2.1/catalog/datasets/fed-donnees-urgences-hospitalieres-sos-medecins-relatives-a-lepidemie-de-covid-1
License
- ✓ Redistributable
- ✓ Attribution required
Query examples
curl -s 'https://data.ampmetropole.fr/api/explore/v2.1/catalog/datasets/fed-donnees-urgences-hospitalieres-sos-medecins-relatives-a-lepidemie-de-covid-1/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
Dataset
Volume & freshness
License
No license declared upstream.
Source: opendatasoft
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