COVID: Exécutions et ventes de tests antigéniques rapides en pharmacie

Informations

Remote source
Remote source
Frequency
Desconocido
Fecha de creación
13 de noviembre de 2020
Modification date
9 de octubre de 2021
Latest resource update
13 de noviembre de 2020
Territorial coverage granularity
Región francesa
Territorial coverage
France

Extras

ID
5fae64883efc70e3991896c2
Fecha de creación
13 de noviembre de 2020
Modification date
9 de octubre de 2021

Donnée de vente des tests antigéniques (TRA) covid vendus en pharmacie.

Méthodologie

  • Les données sont générées à partir d'un Panel de 14000 officines en France représentatives de toutes les typologies de pharmacie
  • Ces données sont extrapolées sur la France en fonction de cette typologie et du taux de couverture local

Description des indicateurs

Pour chaque région et chaque jour, on indique la Quantité unitaire (quantité) et le nombre de pharmacies (officines) qui pratiquent ces tests sur quatre catégories :

  1. TEST ANTIGÉNIQUE COVID UNITAIRE PATIENT - Les tests unitaires à destination des patients
  2. TEST ANTIGÉNIQUE COVID RÉTROCÉDÉ PDS - Les tests unitaires rétrocédés aux professionnels de santé
  3. FORFAIT COVID AVEC PRÉLÈVEMENT - Les actes avec prélèvements (le pharmacien procède au prélèvement et l’analyse lui-même)
  4. FORFAIT COVID SANS PRÉLÈVEMENT - Les actes sans prélèvements (un autre professionnel de santé fait le prélèvement mais l’analyse est faite en officine)

Resources 4

See also: community resources
12 downloads

Export au format CSV

Disponible
  • region_code: region_code[int] France administrative region code
  • region: region[text] France administrative region name

  • act_code: act_code[text] executed act or dispensed test code (EAN)

  • act_description: act_description[text] executed act or dispensed test description

  • date: date[date] execution date

  • quantity_group: quantity_group[text] quantities range

  • quantity: quantity[int] projected number of test or acts dispensed

  • quantity_7d: quantity_7d[int] projected number of test or acts dispensed for the last 7 days

  • pharmacies: pharmacies[int] projected number of pharmacies

  • pharmacies_7d: pharmacies_7d[int] projected number of pharmacies for the last 7 days

  • pharmacies_universe: pharmacies_universe[int] total number of pharmacies of the region

Tipo
Main file
MIME Type
text/csv
Created on
13 de noviembre de 2020
Modified on
9 de octubre de 2021
Published on
13 de noviembre de 2020
1 downloads

Export au format JSON

Disponible
  • region_code: region_code[int] France administrative region code
  • region: region[text] France administrative region name

  • act_code: act_code[text] executed act or dispensed test code (EAN)

  • act_description: act_description[text] executed act or dispensed test description

  • date: date[date] execution date

  • quantity_group: quantity_group[text] quantities range

  • quantity: quantity[int] projected number of test or acts dispensed

  • quantity_7d: quantity_7d[int] projected number of test or acts dispensed for the last 7 days

  • pharmacies: pharmacies[int] projected number of pharmacies

  • pharmacies_7d: pharmacies_7d[int] projected number of pharmacies for the last 7 days

  • pharmacies_universe: pharmacies_universe[int] total number of pharmacies of the region

Tipo
Main file
MIME Type
application/json
Created on
13 de noviembre de 2020
Modified on
9 de octubre de 2021
Published on
13 de noviembre de 2020
0 downloads

Export au format GeoJSON

Disponible
  • region_code: region_code[int] France administrative region code
  • region: region[text] France administrative region name

  • act_code: act_code[text] executed act or dispensed test code (EAN)

  • act_description: act_description[text] executed act or dispensed test description

  • date: date[date] execution date

  • quantity_group: quantity_group[text] quantities range

  • quantity: quantity[int] projected number of test or acts dispensed

  • quantity_7d: quantity_7d[int] projected number of test or acts dispensed for the last 7 days

  • pharmacies: pharmacies[int] projected number of pharmacies

  • pharmacies_7d: pharmacies_7d[int] projected number of pharmacies for the last 7 days

  • pharmacies_universe: pharmacies_universe[int] total number of pharmacies of the region

  • forme: geom[geo_shape] region shape

  • centroid: geo_point_2d[geo_point_2d] region centroid
Tipo
Main file
MIME Type
application/vnd.geo+json
Created on
13 de noviembre de 2020
Modified on
23 de abril de 2021
Published on
13 de noviembre de 2020
1 downloads

Export au format Shapefile

Disponible
  • region_code: region_code[int] France administrative region code
  • region: region[text] France administrative region name

  • act_code: act_code[text] executed act or dispensed test code (EAN)

  • act_description: act_description[text] executed act or dispensed test description

  • date: date[date] execution date

  • quantity_group: quantity_group[text] quantities range

  • quantity: quantity[int] projected number of test or acts dispensed

  • quantity_7d: quantity_7d[int] projected number of test or acts dispensed for the last 7 days

  • pharmacies: pharmacies[int] projected number of pharmacies

  • pharmacies_7d: pharmacies_7d[int] projected number of pharmacies for the last 7 days

  • pharmacies_universe: pharmacies_universe[int] total number of pharmacies of the region

  • forme: geom[geo_shape] region shape

  • centroid: geo_point_2d[geo_point_2d] region centroid
Tipo
Main file
MIME Type
None
Created on
13 de noviembre de 2020
Modified on
16 de abril de 2021
Published on
13 de noviembre de 2020

Embed

You can easily embed this dataset on your website by pasting this snippet in your html page.

Community resources 0

You have built a more comprehensive database than those presented here? This is the time to share it!

Reutilizaciones 0

You reused these data and published an article, a computer graphics, or an application? It's time to let you know! Reference your work in just a few clicks and increase your visibility.

Discussions 0

Discussion between the organization and the community about this dataset.