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COVID-19 Epidemic Monitoring Indicators in FranceIndicateurs de suivi de l’épidémie de COVID-19 en France

Name: COVID-19 Epidemic Monitoring Indicators in France
Creator: data.bretagne.bzh
License: https://www.etalab.gouv.fr/wp-content/uploads/2017/04/ETALAB-Licence-Ouverte-v2.0.pdf

Indicateurs de suivi de l’épidémie de COVID-19 en FranceCOVID-19 Epidemic Monitoring Indicators in France

data.bretagne.bzh

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This API provides indicators used to monitor the COVID-19 epidemic in France, published via the Brittany regional open data portal (data.bretagne.bzh). It was introduced following the French government's presentation of monitoring indicators on 28 May 2020, as part of the second phase of the deconfinement plan. Some indicators have been missing since mid-May 2022, with corresponding data instead found in the SI-DEP laboratory testing dataset. The dataset supports tracking of epidemic trends such as case counts, testing, and other health-monitoring metrics at the national level over the course of the pandemic.Certains indicateurs de ce jeu de données sont manquants depuis mi-mai 2022, les données correspondantes se trouvent dans ces fichiers : Données de laboratoires pour le dépistage - SI-DEP . Présentation des indicateurs de suivi Le 28 mai 2020, le gouvernement a présenté dans le cadre de la deuxiè...

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Data schema (16 fields)

Filterable via the API (14)

extract_datedep_codereg_codereg_namedep_nameincidence_rater0sae_ratepositive_test_rateincidence_rate_catr0_catsae_rate_catpositive_test_rate_catdep_area_code

Click a field to see example values.

Fill	Field	Type	Description
100%	extract_dateDate	date	Date of the data extraction or reporting.Date of the data extraction or reporting.
100%	dep_codeCode Officiel Département	text	Official French department code.Official French department code.
100%	reg_codeCode Officiel Région	text	Official French region code.Official French region code.
100%	reg_nameNom Officiel Région	text	Official name of the French region.Official name of the French region.
100%	dep_nameNom Officiel Département	text	Official name of the French department.Official name of the French department.
81.8%	incidence_rateTaux d'incidence	double	COVID-19 incidence rate per 100,000 inhabitants.COVID-19 incidence rate per 100,000 inhabitants.
12.1%	r0R0 - Nombre de reproduction effectif	double	Effective reproduction number (R0) of the epidemic.Effective reproduction number (R0) of the epidemic.
100%	sae_rateTaux d’occupation des lits en réanimation	double	Occupancy rate of intensive care beds by COVID-19 patients, regional level.Taux d’occupation des lits en réanimation/SI/SC par des patients COVID par rapport à la capacité initiale en réanimation/SI/SC. Cet indicateur est calculé à l'échelle régionale.
81.1%	positive_test_rateTaux de positivité des tests RT-PCR	double	Positivity rate of RT-PCR COVID-19 tests.Positivity rate of RT-PCR COVID-19 tests.
81.8%	incidence_rate_catIndicateur taux d'incidence	text	Alert level category (e.g. green/orange/red) for the incidence rate.Alert level category (e.g. green/orange/red) for the incidence rate.
—	r0_catIndicateur R0	text	Alert level category (e.g. green/orange/red) for the R0 indicator.Alert level category (e.g. green/orange/red) for the R0 indicator.
—	sae_rate_catIndicateur tension hospitalière	text	Alert level category for hospital intensive care pressure.Alert level category for hospital intensive care pressure.
—	positive_test_rate_catIndicateur tests positifs	text	Alert level category for the test positivity rate.Alert level category for the test positivity rate.
—	geo_point_2dGeo Point	geo_point_2d	Geographic coordinates (latitude, longitude) of the area.Geographic coordinates (latitude, longitude) of the area.
—	geo_shapeShape	geo_shape	Geographic boundary shape of the administrative area.Geographic boundary shape of the administrative area.
—	dep_area_codeCode Iso 3166-3 Zone	text	ISO 3166-3 code of the department's geographic zone.ISO 3166-3 code of the department's geographic zone.

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 1r0: — · r0_cat: —

{
  "r0": null,
  "r0_cat": null,
  "dep_code": "29",
  "dep_name": "Finistère",
  "reg_code": "53",
  "reg_name": "Bretagne",
  "sae_rate": 51.9,
  "geo_shape": "[large value omitted]",
  "extract_date": "2021-05-14",
  "geo_point_2d": {
    "lat": 48.26134264016206,
    "lon": -4.059557795810813
  },
  "sae_rate_cat": "orange",
  "dep_area_code": "FXX",
  "incidence_rate": 60.23,
  "incidence_rate_cat": "rouge",
  "positive_test_rate": 2.93848554975513,
  "positive_test_rate_cat": "vert"
}

Record 2r0: — · r0_cat: —

{
  "r0": null,
  "r0_cat": null,
  "dep_code": "29",
  "dep_name": "Finistère",
  "reg_code": "53",
  "reg_name": "Bretagne",
  "sae_rate": 30.2,
  "geo_shape": "[large value omitted]",
  "extract_date": "2020-12-19",
  "geo_point_2d": {
    "lat": 48.26134264016206,
    "lon": -4.059557795810813
  },
  "sae_rate_cat": "orange",
  "dep_area_code": "FXX",
  "incidence_rate": 38.61,
  "incidence_rate_cat": "orange",
  "positive_test_rate": 1.96408529741863,
  "positive_test_rate_cat": "vert"
}

Record 3r0: — · r0_cat: —

{
  "r0": null,
  "r0_cat": null,
  "dep_code": "56",
  "dep_name": "Morbihan",
  "reg_code": "53",
  "reg_name": "Bretagne",
  "sae_rate": 29.6,
  "geo_shape": "[large value omitted]",
  "extract_date": "2022-03-18",
  "geo_point_2d": {
    "lat": 47.846743801921654,
    "lon": -2.8116155337501096
  },
  "sae_rate_cat": "vert",
  "dep_area_code": "FXX",
  "incidence_rate": 993.56,
  "incidence_rate_cat": "rouge",
  "positive_test_rate": 37.586379569354,
  "positive_test_rate_cat": "rouge"
}

Record 4r0: — · r0_cat: —

{
  "r0": null,
  "r0_cat": null,
  "dep_code": "22",
  "dep_name": "Côtes-d'Armor",
  "reg_code": "53",
  "reg_name": "Bretagne",
  "sae_rate": 76.5,
  "geo_shape": "[large value omitted]",
  "extract_date": "2021-04-07",
  "geo_point_2d": {
    "lat": 48.44034937994268,
    "lon": -2.8647440855182595
  },
  "sae_rate_cat": "rouge",
  "dep_area_code": "FXX",
  "incidence_rate": 162.2,
  "incidence_rate_cat": "rouge",
  "positive_test_rate": 4.89669839983796,
  "positive_test_rate_cat": "vert"
}

Record 5r0: — · r0_cat: —

{
  "r0": null,
  "r0_cat": null,
  "dep_code": "22",
  "dep_name": "Côtes-d'Armor",
  "reg_code": "53",
  "reg_name": "Bretagne",
  "sae_rate": 7.4,
  "geo_shape": "[large value omitted]",
  "extract_date": "2020-09-16",
  "geo_point_2d": {
    "lat": 48.44034937994268,
    "lon": -2.8647440855182595
  },
  "sae_rate_cat": "vert",
  "dep_area_code": "FXX",
  "incidence_rate": 27,
  "incidence_rate_cat": "orange",
  "positive_test_rate": 1.80069343473884,
  "positive_test_rate_cat": "vert"
}

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/indicateurs-de-suivi-de-lepidemie-de-covid-19-en-france

License

Licence Ouverte 2.0 (France / Etalab)Open

✓ Redistributable
✓ Attribution required

Query examples

curl -s 'https://data.bretagne.bzh/api/explore/v2.1/catalog/datasets/indicateurs-de-suivi-de-lepidemie-de-covid-19-en-france/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

3.6k

3580

Last upstream update

4 days ago

2026-10-19

License

No license declared upstream.

○ Documentation○ Data dictionary○ Versioning

Source: opendatasoft

Machine-readable & source

JSON

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COVID-19 Epidemic Monitoring Indicators in FranceIndicateurs de suivi de l’épidémie de COVID-19 en France

Trust score

Data schema (16 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