COVID-19 outbreak monitoring indicators

DatasetNational · FranceNo auth

### Presentation of monitoring indicators On 28 May 2020, as part of the second phase of the de-confinement plan, the government presented the departmental summary map, which serves as a reference for differentiated measures applied since 2 June. This map is built on the basis of 4 indicators and is complemented by a risk analysis. The indicators are as follows: **1. Epidemic activity (incidence rate)** Incidence rate is the number of people tested positive (RT-PCR and antigenic test) for the first time in more than 60 days relative to population size. It is expressed per 100,000 inhabitants and makes it possible to compare geographical areas between them. Three levels have been set for this indicator: - green: below 10 people tested positive out of 100 000 people tested, over a slippery week; - orange: more than 10 people tested positive out of 100 000 people tested, over a slippery week; - red: more than 50 people tested positive out of 100,000 people tested, over a slippery week. **2. Virological test positivity rate** The positivity rate corresponds to the number of people tested positive (RT-PCR and antigenic test) for the first time in more than 60 days compared to the total number of people tested positive or negative over a given period; They have never tested positive in the previous 60 days. Three levels have been set for this indicator: - green: positivity rate between 0 and 5%; - orange: positivity rate between 5 and 10%; - red: positivity rate above 10%. **3. Virus Reproduction Factor (R0 evolution)** The number of reproductions of the virus: this is the average number of people an infected person can contaminate. If the effective R is greater than 1, the epidemic develops; if it is less than 1, the epidemic regresses. This indicator, stopped on Tuesday and updated on Thursday, is an indicator of the epidemiological situation about 7 days before and must be interpreted in the light of screening and data collection activities. The indicato.

populationgeospatialgovernment

Trust score

How is this computed?

good

Composite of 5 axes from our methodology (proof-based officialness, live verification, metadata completeness, license clarity, agent readiness).

Officialnessweight 25%50/100
Not public-sector → neutral score; not subject to the proof checker.
Availabilityweight 25%100/100
Latest verification succeeded.
Metadata completenessweight 20%46/100
6 of 13 recommended metadata fields populated.
License clarityweight 15%100/100
Normalised to lo-2.0 — open, redistributable.
Agent readinessweight 15%40/100
Documentation present · 2 distribution(s) declared · Landing page present

Data schema (15 fields)

Field	Type	Description
extract_date	date	—
departement	int	—
region	int	—
libelle_reg	text	—
libelle_dep	text	—
tx_incid	number	—
R	number	—
taux_occupation_sae	number	—
tx_pos	number	—
tx_incid_couleur	text	—
R_couleur	text	—
taux_occupation_sae_couleur	text	—
tx_pos_couleur	text	—
nb_orange	int	—
nb_rouge	int	—

Schema inferred from the distribution file's first records 1 hour ago. Column types are sampled estimates, not source-declared.

Sample data (5 records)

Record 1R: · region: 84

{
  "R": "",
  "region": "84",
  "tx_pos": "",
  "nb_rouge": "0",
  "tx_incid": "",
  "R_couleur": "",
  "nb_orange": "0",
  "departement": "01",
  "libelle_dep": "Ain",
  "libelle_reg": "Auvergne Rhône Alpes",
  "extract_date": "2020-03-19",
  "tx_pos_couleur": "",
  "tx_incid_couleur": "",
  "taux_occupation_sae": "14.1",
  "taux_occupation_sae_couleur": "vert"
}

Record 2R: · region: 84

{
  "R": "",
  "region": "84",
  "tx_pos": "",
  "nb_rouge": "0",
  "tx_incid": "",
  "R_couleur": "",
  "nb_orange": "0",
  "departement": "01",
  "libelle_dep": "Ain",
  "libelle_reg": "Auvergne Rhône Alpes",
  "extract_date": "2020-03-18",
  "tx_pos_couleur": "",
  "tx_incid_couleur": "",
  "taux_occupation_sae": "6.3",
  "taux_occupation_sae_couleur": "vert"
}

Record 3R: · region: 84

{
  "R": "",
  "region": "84",
  "tx_pos": "9.95995995995996",
  "nb_rouge": "2",
  "tx_incid": "212.04",
  "R_couleur": "",
  "nb_orange": "1",
  "departement": "01",
  "libelle_dep": "Ain",
  "libelle_reg": "Auvergne Rhône Alpes",
  "extract_date": "2021-01-21",
  "tx_pos_couleur": "orange",
  "tx_incid_couleur": "rouge",
  "taux_occupation_sae": "71.6",
  "taux_occupation_sae_couleur": "rouge"
}

Record 4R: · region: 84

{
  "R": "",
  "region": "84",
  "tx_pos": "9.85308659415172",
  "nb_rouge": "2",
  "tx_incid": "212.34",
  "R_couleur": "",
  "nb_orange": "1",
  "departement": "01",
  "libelle_dep": "Ain",
  "libelle_reg": "Auvergne Rhône Alpes",
  "extract_date": "2021-01-22",
  "tx_pos_couleur": "orange",
  "tx_incid_couleur": "rouge",
  "taux_occupation_sae": "73.2",
  "taux_occupation_sae_couleur": "rouge"
}

Record 5R: · region: 84

{
  "R": "",
  "region": "84",
  "tx_pos": "9.96157876353475",
  "nb_rouge": "2",
  "tx_incid": "217.06",
  "R_couleur": "",
  "nb_orange": "1",
  "departement": "01",
  "libelle_dep": "Ain",
  "libelle_reg": "Auvergne Rhône Alpes",
  "extract_date": "2021-01-23",
  "tx_pos_couleur": "orange",
  "tx_incid_couleur": "rouge",
  "taux_occupation_sae": "71.4",
  "taux_occupation_sae_couleur": "rouge"
}

Live sample captured at profiling time — values may have changed upstream.

Verification Status

Using the API

Query examples

curl -sL 'https://static.data.gouv.fr/resources/indicateurs-de-suivi-de-lepidemie-de-covid-19/20220830-184546/table-indicateurs-open-data-dep-serie.csv' -o data.csv

Full csv file download — the schema shown was inferred from the file's first records.