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Hospital emergency data - SOS Médecins relating to the COVID-19 epidemic in the Centre-Val de Loire regionDonnées urgences hospitalières - SOS Médécins relatives à l'épidémie de COVID-19 en région Centre-Val de Loire

Données urgences hospitalières - SOS Médécins relatives à l'épidémie de COVID-19 en région Centre-Val de LoireHospital emergency data - SOS Médecins relating to the COVID-19 epidemic in the Centre-Val de Loire region

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This API provides hospital emergency department and SOS Médecins data related to the COVID-19 epidemic in the Centre-Val de Loire region, published via the regional open-data portal maintained by the Région Centre-Val de Loire. The underlying data originates from Santé publique France, the national public health agency tasked with monitoring and understanding the epidemic's dynamics, anticipating scenarios, and supporting public health responses during the health crisis. The dataset covers emergency and urgent-care visit indicators at local level, useful for tracking epidemic trends and informing regional health surveillance and decision-making.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 reporting area.Department code of the reporting area.
100%	datedate_de_passage	date	Date of the emergency room or SOS Médecins visit.Date of the emergency room or SOS Médecins visit.
99.9%	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
99.9%	tot_pass_emgynbre_pass_tot	int	Total number of emergency room visits, all causes.Nombre de passages aux urgences total
99.9%	nb_ho_emgy_covidnbre_hospit_corona	int	Number of hospitalisations 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 room visits for suspected COVID-19.Number of male emergency room visits for suspected COVID-19.
14.3%	nb_pass_emgy_covid_fnbre_pass_corona_f	int	Number of female emergency room visits for suspected COVID-19.Number of female emergency room visits for suspected COVID-19.
14.3%	tot_pass_emgy_mnbre_pass_tot_h	int	Total number of male emergency room visits, all causes.Total number of male emergency room visits, all causes.
14.3%	tot_pass_emgy_fnbre_pass_tot_f	int	Total number of female emergency room visits, all causes.Total number of female emergency room visits, all causes.
14.3%	nb_ho_emgy_covid_mnbre_hospit_corona_h	int	Number of male hospitalisations among emergency visits for suspected COVID-19.Number of male hospitalisations among emergency visits for suspected COVID-19.
14.3%	nb_ho_emgy_covid_fnbre_hospit_corona_f	int	Number of female hospitalisations among emergency visits for suspected COVID-19.Number of female hospitalisations among emergency visits for suspected COVID-19.
32.9%	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
32.9%	tot_acte_sosnbre_acte_tot	int	Total number of SOS Médecins medical acts, all causes.Nombres d'actes médicaux SOS Médecins total
4.8%	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.
4.8%	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.
4.8%	tot_sos_mnbre_acte_tot_h	int	Total number of male SOS Médecins acts, all causes.Total number of male SOS Médecins acts, all causes.
4.8%	tot_sos_fnbre_acte_tot_f	int	Total number of female SOS Médecins acts, all causes.Total number of female SOS Médecins acts, all causes.
100%	reg_codeCode de la région	int	Numeric code of the administrative region.Numeric code of the administrative region.
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 administrative region.Name of the administrative 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 category.Label of the age group category.
—	geo_point_2dCoordinates	geo_point_2d	Geographic coordinates (latitude and longitude) of the area.Geographic coordinates (latitude and longitude) of the area.

Schema captured from opendatasoft 3 days ago.

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Sample data (5 records)

Record 1date: 2024-01-30 · dep_code: 28

{
  "date": "2024-01-30",
  "dep_code": "28",
  "reg_code": 24,
  "age_label": "65-74 ans",
  "tot_sos_f": null,
  "tot_sos_m": null,
  "region_min": "Centre-Val de Loire",
  "nom_dep_min": "Eure-et-Loir",
  "geo_point_2d": {
    "lat": 48.3904369966,
    "lon": 1.36981669854
  },
  "tot_acte_sos": null,
  "tot_pass_emgy": 46,
  "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 2date: 2023-09-27 · dep_code: 28

{
  "date": "2023-09-27",
  "dep_code": "28",
  "reg_code": 24,
  "age_label": "0-4 ans",
  "tot_sos_f": null,
  "tot_sos_m": null,
  "region_min": "Centre-Val de Loire",
  "nom_dep_min": "Eure-et-Loir",
  "geo_point_2d": {
    "lat": 48.3904369966,
    "lon": 1.36981669854
  },
  "tot_acte_sos": null,
  "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": 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 3date: 2023-09-05 · dep_code: 36

{
  "date": "2023-09-05",
  "dep_code": "36",
  "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": "Indre",
  "geo_point_2d": {
    "lat": 46.7797106525,
    "lon": 1.57443501984
  },
  "tot_acte_sos": null,
  "tot_pass_emgy": 3,
  "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 4date: 2023-10-14 · dep_code: 18

{
  "date": "2023-10-14",
  "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": 26,
  "tot_pass_emgy": 22,
  "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 5date: 2024-10-12 · dep_code: 37

{
  "date": "2024-10-12",
  "dep_code": "37",
  "reg_code": 24,
  "age_label": "0-4 ans",
  "tot_sos_f": null,
  "tot_sos_m": null,
  "region_min": "Centre-Val de Loire",
  "nom_dep_min": "Indre-et-Loire",
  "geo_point_2d": {
    "lat": 47.258431298,
    "lon": 0.690550351171
  },
  "tot_acte_sos": null,
  "tot_pass_emgy": 61,
  "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": 3,
  "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.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 3 days ago

Dataset

Volume & freshness

Records

31k

30912

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

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Hospital emergency data - SOS Médecins relating to the COVID-19 epidemic in the Centre-Val de Loire regionDonnées 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)

Verification Status

Using the API

Configuration

License

Query examples

Rate limits

Dataset

Volume & freshness

License

Machine-readable & source