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Données urgences hospitalières - SOS Médécins relatives à l'épidémie de COVID-19 en région Centre-Val de Loire

Name: Données urgences hospitalières - SOS Médécins relatives à l'épidémie de COVID-19 en région Centre-Val de Loire
Creator: opendatasoft

APIQuery nowOpen workbench🇫🇷France

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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	—
100%	datedate_de_passage	date	—
99.9%	nb_pass_emgy_covidnbre_pass_corona	int	Nombre de passages aux urgences pour suspicion de COVID-19
99.9%	tot_pass_emgynbre_pass_tot	int	Nombre de passages aux urgences total
99.9%	nb_ho_emgy_covidnbre_hospit_corona	int	Nombre d'hospitalisations parmi les passages aux urgences pour suspicion de COVID-19
14.3%	nb_pass_emgy_covid_mnbre_pass_corona_h	int	—
14.3%	nb_pass_emgy_covid_fnbre_pass_corona_f	int	—
14.3%	tot_pass_emgy_mnbre_pass_tot_h	int	—
14.3%	tot_pass_emgy_fnbre_pass_tot_f	int	—
14.3%	nb_ho_emgy_covid_mnbre_hospit_corona_h	int	—
14.3%	nb_ho_emgy_covid_fnbre_hospit_corona_f	int	—
32.9%	nb_acte_sos_covidnbre_acte_corona	int	Nombres d'actes médicaux SOS Médecins pour suspicion de COVID-19
32.9%	tot_acte_sosnbre_acte_tot	int	Nombres d'actes médicaux SOS Médecins total
4.8%	nb_sos_covid_mnbre_acte_corona_h	int	—
4.8%	nb_sos_covid_fnbre_acte_corona_f	int	—
4.8%	tot_sos_mnbre_acte_tot_h	int	—
4.8%	tot_sos_fnbre_acte_tot_f	int	—
100%	reg_codeCode de la région	int	—
100%	countrycode_iso_3166_1_alpha3Code ISO 3166 de la zone	text	—
100%	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 1 hour 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: 2022-12-26 · dep_code: 18

{
  "date": "2022-12-26",
  "dep_code": "18",
  "reg_code": 24,
  "age_label": "5-14 ans",
  "tot_sos_f": null,
  "tot_sos_m": null,
  "region_min": "Centre-Val de Loire",
  "nom_dep_min": "Cher",
  "geo_point_2d": {
    "lat": 47.0669238688,
    "lon": 2.48626613029
  },
  "tot_acte_sos": 14,
  "tot_pass_emgy": 20,
  "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 2date: 2022-12-29 · dep_code: 18

{
  "date": "2022-12-29",
  "dep_code": "18",
  "reg_code": 24,
  "age_label": "5-14 ans",
  "tot_sos_f": null,
  "tot_sos_m": null,
  "region_min": "Centre-Val de Loire",
  "nom_dep_min": "Cher",
  "geo_point_2d": {
    "lat": 47.0669238688,
    "lon": 2.48626613029
  },
  "tot_acte_sos": 15,
  "tot_pass_emgy": 12,
  "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: 2023-01-15 · dep_code: 18

{
  "date": "2023-01-15",
  "dep_code": "18",
  "reg_code": 24,
  "age_label": "5-14 ans",
  "tot_sos_f": null,
  "tot_sos_m": null,
  "region_min": "Centre-Val de Loire",
  "nom_dep_min": "Cher",
  "geo_point_2d": {
    "lat": 47.0669238688,
    "lon": 2.48626613029
  },
  "tot_acte_sos": 24,
  "tot_pass_emgy": 8,
  "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: 2023-01-16 · dep_code: 18

{
  "date": "2023-01-16",
  "dep_code": "18",
  "reg_code": 24,
  "age_label": "tous âges",
  "tot_sos_f": 75,
  "tot_sos_m": 70,
  "region_min": "Centre-Val de Loire",
  "nom_dep_min": "Cher",
  "geo_point_2d": {
    "lat": 47.0669238688,
    "lon": 2.48626613029
  },
  "tot_acte_sos": 145,
  "tot_pass_emgy": 217,
  "nb_sos_covid_f": 0,
  "nb_sos_covid_m": 0,
  "tot_pass_emgy_f": 91,
  "tot_pass_emgy_m": 125,
  "nb_ho_emgy_covid": 1,
  "nb_acte_sos_covid": 0,
  "nb_ho_emgy_covid_f": 0,
  "nb_ho_emgy_covid_m": 1,
  "nb_pass_emgy_covid": 1,
  "nb_pass_emgy_covid_f": 0,
  "nb_pass_emgy_covid_m": 1,
  "countrycode_iso_3166_1_alpha3": "FRA"
}

Record 5date: 2023-01-26 · dep_code: 18

{
  "date": "2023-01-26",
  "dep_code": "18",
  "reg_code": 24,
  "age_label": "15-44 ans",
  "tot_sos_f": null,
  "tot_sos_m": null,
  "region_min": "Centre-Val de Loire",
  "nom_dep_min": "Cher",
  "geo_point_2d": {
    "lat": 47.0669238688,
    "lon": 2.48626613029
  },
  "tot_acte_sos": 81,
  "tot_pass_emgy": 64,
  "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.centrevaldeloire.fr/api/explore/v2.1/catalog/datasets/donnees-urgences-hospitalieres-sos-medecins-relatives-a-lepidemie-de-covid-19-en

License

Licence Ouverte 2.0 (France / Etalab)Open

✓ Redistributable
✓ Attribution required

Query examples

curl -s 'https://data.centrevaldeloire.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 1 hour ago

Dataset

Volume & freshness

Records

31k

30912

Update cadence

Daily

declared upstream

Last upstream update

7 months ago

2025-12-12

Temporal coverage

2020 → ongoing

License

No license declared upstream.

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Source: opendatasoft

Machine-readable & source

JSON

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Données urgences hospitalières - SOS Médécins relatives à l'épidémie de COVID-19 en région Centre-Val de Loire

Trust score

Data schema (23 fields)

Query the data

Sample data (5 records)

Using the API

Configuration

License

Query examples

Rate limits

Dataset

Volume & freshness

License

Machine-readable & source