Register record·API·FRVERIFIED · checked 14h ago
C
Daily Covid figures for departments 77, 91, 75Covid-quot-77-91-75
Covid-quot-77-91-75Daily Covid figures for departments 77, 91, 75
Dataset providing a daily view of Covid-19 case evolution in the French departments of Seine-et-Marne (77) and Essonne (91), with a comparison to Paris (75). Data originates from Santé Publique France and is drawn from the SURSAUD health surveillance system. Records cover the period from 24 February to 21 March 2020. The dataset is published via the Grand Paris Sud open data portal and is useful for tracking early local trends in the Covid-19 epidemic across these three departments during that timeframe.”Vue quotidienne de l'évolution des cas de Covid-19 dans les départements 77, 91 et comparatif avec le département 75. Les données issues de Santé Publique France sont disponibles pour les relevés allant du 24 février au 21 mars 2020. Celles-ci sont issues du système de surveillance sanitaire SURS...
health
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How is this computed?45
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Data schema (18 fields)
Filterable via the API (18)
depdate_de_passagesursaud_cl_age_coronanbre_pass_coronanbre_pass_totnbre_hospit_coronanbre_pass_corona_hnbre_pass_corona_fnbre_pass_tot_hnbre_pass_tot_fnbre_hospit_corona_hnbre_hospit_corona_fnbre_acte_coronanbre_acte_totnbre_acte_corona_hnbre_acte_corona_fnbre_acte_tot_hnbre_acte_tot_f
Click a field to see example values.
| Fill | Field | Type | Description |
|---|---|---|---|
| 100% | dep | int | Department code (75, 77 or 91).Département |
| 100% | date_de_passageDate de passage | date | Date of the recorded visit or act.Date de passage |
| 100% | sursaud_cl_age_coronaSursaud cl age corona | int | Age group code of the patients.Tranche d'âge des patients |
| 100% | nbre_pass_coronaNbre pass corona | int | Number of emergency visits for suspected COVID-19.Nombre de passages aux urgences pour suspicion de COVID-19 |
| 100% | nbre_pass_totNbre pass tot | int | Total number of emergency department visits.Nombre de passages aux urgences total |
| 100% | nbre_hospit_coronaNbre hospit corona | int | Number of hospitalizations among emergency visits for suspected COVID-19.Nombre d'hospitalisations parmi les passages aux urgences pour suspicion de COVID-19 |
| 100% | nbre_pass_corona_hNbre pass corona h | int | Number of male emergency visits for suspected COVID-19.Nombre de passages aux urgences pour suspicion de COVID-19 - Hommes |
| 100% | nbre_pass_corona_fNbre pass corona f | int | Number of female emergency visits for suspected COVID-19.Nombre de passages aux urgences pour suspicion de COVID-19 - Femmes |
| 100% | nbre_pass_tot_hNbre pass tot h | int | Total number of male emergency department visits.Nombre de passages aux urgences total - Hommes |
| 100% | nbre_pass_tot_fNbre pass tot f | int | Total number of female emergency department visits.Nombre de passages aux urgences total - Femmes |
| 100% | nbre_hospit_corona_hNbre hospit corona h | int | Number of male hospitalizations among suspected COVID-19 emergency visits.Nombre d'hospitalisations parmi les passages aux urgences pour suspicion de COVID-19 - Hommes |
| 100% | nbre_hospit_corona_fNbre hospit corona f | int | Number of female hospitalizations among suspected COVID-19 emergency visits.Nombre d'hospitalisations parmi les passages aux urgences pour suspicion de COVID-19 - Femmes |
| 100% | nbre_acte_coronaNbre acte corona | int | Number of SOS Médecins medical acts for suspected COVID-19.Nombres d'actes médicaux SOS Médecins pour suspicion de COVID-19 |
| 100% | nbre_acte_totNbre acte tot | int | Total number of SOS Médecins medical acts.Nombres d'actes médicaux SOS Médecins total |
| 100% | nbre_acte_corona_hNbre acte corona h | int | Number of male SOS Médecins medical acts for suspected COVID-19.Nombres d'actes médicaux SOS Médecins pour suspicion de COVID-19 - Hommes |
| 100% | nbre_acte_corona_fNbre acte corona f | int | Number of female SOS Médecins medical acts for suspected COVID-19.Nombres d'actes médicaux SOS Médecins pour suspicion de COVID-19 - Femmes |
| 100% | nbre_acte_tot_hNbre acte tot h | int | Total number of male SOS Médecins medical acts.Nombres d'actes médicaux SOS Médecins total - Hommes |
| 100% | nbre_acte_tot_fNbre acte tot f | int | Total number of female SOS Médecins medical acts.Nombres d'actes médicaux SOS Médecins total - Femmes |
Schema captured from opendatasoft 3 days ago.
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Sample data (5 records)
Record 1dep: 91 · nbre_acte_tot: 150
{
"dep": 91,
"nbre_acte_tot": 150,
"nbre_pass_tot": 593,
"date_de_passage": "2020-03-06",
"nbre_acte_tot_f": 91,
"nbre_acte_tot_h": 58,
"nbre_pass_tot_f": 279,
"nbre_pass_tot_h": 314,
"nbre_acte_corona": 0,
"nbre_pass_corona": 2,
"nbre_acte_corona_f": 0,
"nbre_acte_corona_h": 0,
"nbre_hospit_corona": 0,
"nbre_pass_corona_f": 1,
"nbre_pass_corona_h": 1,
"nbre_hospit_corona_f": 0,
"nbre_hospit_corona_h": 0,
"sursaud_cl_age_corona": 0
}Record 2dep: 75 · nbre_acte_tot: 1073
{
"dep": 75,
"nbre_acte_tot": 1073,
"nbre_pass_tot": 1193,
"date_de_passage": "2020-03-16",
"nbre_acte_tot_f": 630,
"nbre_acte_tot_h": 443,
"nbre_pass_tot_f": 486,
"nbre_pass_tot_h": 707,
"nbre_acte_corona": 128,
"nbre_pass_corona": 202,
"nbre_acte_corona_f": 73,
"nbre_acte_corona_h": 55,
"nbre_hospit_corona": 37,
"nbre_pass_corona_f": 97,
"nbre_pass_corona_h": 105,
"nbre_hospit_corona_f": 16,
"nbre_hospit_corona_h": 21,
"sursaud_cl_age_corona": 0
}Record 3dep: 77 · nbre_acte_tot: 276
{
"dep": 77,
"nbre_acte_tot": 276,
"nbre_pass_tot": 257,
"date_de_passage": "2020-03-21",
"nbre_acte_tot_f": 156,
"nbre_acte_tot_h": 117,
"nbre_pass_tot_f": 114,
"nbre_pass_tot_h": 143,
"nbre_acte_corona": 29,
"nbre_pass_corona": 24,
"nbre_acte_corona_f": 19,
"nbre_acte_corona_h": 10,
"nbre_hospit_corona": 8,
"nbre_pass_corona_f": 13,
"nbre_pass_corona_h": 11,
"nbre_hospit_corona_f": 2,
"nbre_hospit_corona_h": 6,
"sursaud_cl_age_corona": 0
}Record 4dep: 75 · nbre_acte_tot: 1067
{
"dep": 75,
"nbre_acte_tot": 1067,
"nbre_pass_tot": 1337,
"date_de_passage": "2020-03-07",
"nbre_acte_tot_f": 587,
"nbre_acte_tot_h": 480,
"nbre_pass_tot_f": 573,
"nbre_pass_tot_h": 763,
"nbre_acte_corona": 14,
"nbre_pass_corona": 17,
"nbre_acte_corona_f": 7,
"nbre_acte_corona_h": 7,
"nbre_hospit_corona": 10,
"nbre_pass_corona_f": 8,
"nbre_pass_corona_h": 9,
"nbre_hospit_corona_f": 6,
"nbre_hospit_corona_h": 4,
"sursaud_cl_age_corona": 0
}Record 5dep: 75 · nbre_acte_tot: 1174
{
"dep": 75,
"nbre_acte_tot": 1174,
"nbre_pass_tot": 1340,
"date_de_passage": "2020-03-03",
"nbre_acte_tot_f": 680,
"nbre_acte_tot_h": 493,
"nbre_pass_tot_f": 597,
"nbre_pass_tot_h": 743,
"nbre_acte_corona": 0,
"nbre_pass_corona": 7,
"nbre_acte_corona_f": 0,
"nbre_acte_corona_h": 0,
"nbre_hospit_corona": 2,
"nbre_pass_corona_f": 3,
"nbre_pass_corona_h": 4,
"nbre_hospit_corona_f": 1,
"nbre_hospit_corona_h": 1,
"sursaud_cl_age_corona": 0
}Live sample captured at profiling time — values may have changed upstream.
Verification Status
Using the API
Configuration
- Base URL
- https://data.grandparissud.fr/api/explore/v2.1/catalog/datasets/covid-quot-77-91-75
License
- ✓ Redistributable
- ✓ Attribution required
Query examples
curl -s 'https://data.grandparissud.fr/api/explore/v2.1/catalog/datasets/covid-quot-77-91-75/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.
Rate limits
5 000 req/day
per ipmeasured
observed 3 days ago
Dataset
Volume & freshness
Records
81
Last upstream update
7 years ago
2020-03-23
License
No license declared upstream.
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