Summary of COVID-19 monitoring indicators

### INFORMATION 25/01/2023 Following a seizure error, the number of deaths in week 03 in ESMS has been reduced. The necessary corrections have been made and explain the artificial decline in the number of total deaths that have occurred since the beginning of the epidemic. ⚠** **15/11/2022** Following the suspension of activity by some of the Private Medical Biology Laboratories since 14 November, the number of “New cases confirmed since the previous day” is underestimated as of Tuesday 15/11. Similarly, the incidence rate and the screening rate will be underestimated as of Thursday 17/11. The teams of Public Health France remain mobilised to monitor the epidemic, which is based on multi-source surveillance. **08/06/2022** **Given the current favourable trend and the decline of the main indicators, as of 11 June 2022, COVID-19 indicators produced by Santé publique France will be updated on Géodes and data.gouv.fr every day with the exception of weekends and public holidays.** ### Description of the dataset **This dataset includes most of the summary indicators allowing the monitoring of the COVID-19 outbreak in France.** An inventory of COVID-19 data on data.gouv.fr is available [here](https://www.data.gouv.fr/fr/pages/donnees-coronavirus). These data are shown in particular on the tab *overview* of the [epidemic monitoring dashboard available on government.fr](https://www.gouvernement.fr/info-coronavirus/carte-et-donnees). The latter presents data on the COVID-19 outbreak in France since 28 March 2020. This tool whose [source code is free](https://github.com/etalab/covid19-dashboard) was developed under the leadership of Etalab and with the collaboration of civil society. It provides a consolidated view of the available official data. ## Data description The data contained in the dataset are published daily. ### Contextual data: — ‘‘‘date’’’ = Date — ‘‘‘DEP’’= Department — ‘‘‘Reg’’= Region — ‘‘‘lib_dep’’’= department wording — ‘‘‘lib_reg’’’= denominated region ### Data on hospital situation — ‘‘‘Hosp’’= Number of patients currently hospitalised for COVID-19. — ‘‘‘incid_hosp’’= Number of new patients hospitalised in the last 24 hours. — ‘‘‘REA’’= Number of patients currently undergoing resuscitation or intensive care. — ‘‘‘incid_rea’’= Number of new patients admitted to resuscitation in the last 24 hours. — ‘‘‘RAD’’= Cumulative number of patients who have been hospitalised for COVID-19 and return home due to improved health status. — ‘‘‘incid_rad’’= New home returns in the last 24 hours. ### Data on death from COVID-19 — ‘‘‘dchosp’’= Death in hospital — ‘‘‘incid_dchosp’’= New patients who died in the hospital in the last 24 hours. — ‘‘‘esms_dc’’’= Death in ESMS — ‘‘‘dc_tot’’’= Cumulus of deaths (cumulative of deaths recorded in hospital and EMS) ### Test data — ‘‘‘CONF’’= Number of confirmed cases — ‘‘‘conf_j1’’’= Number of new confirmed cases (J-1 results date) — ‘‘‘POS’’= Number of persons declared positive (J-3 withdrawal date) — ‘‘pos_7j’'’ = Number of persons declared positive over one week (D-3 sampling date) — ‘‘‘esms_cas’’’ = Cases confirmed in ESMS ### Data on COVID-19 monitoring indicators — ‘‘‘tx_pos’’= **Positiveness rate** of virological tests (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; and that have never been tested positive in the previous 60 days.) — ‘‘‘tx_incid’’= ** Incidence rate** (epidemic activity: The incidence rate is the number of people tested positive (RT-PCR and antigenic test) for the first time in more than 60 days compared to population size. It is expressed per 100000 inhabitants) — ‘‘‘to’’= **Occupancy rate**: hospital stress on resuscitation capacity (proportion of COVID-19 patients currently in resuscitation, intensive care, or continuous surveillance unit reported to total beds in initial capacity, i.e. before increasing the capacity of resuscitation beds in a hospital). — ‘‘‘R’’= ** Virus reproductive factor** (R0 evolution: The number of reproduction of the virus: this is the average number of people an infected person can contaminate. If the actual R is greater than 1, the epidemic develops; if it is less than 1, the epidemic decreases) — ** Attention points**: — Data collection methods have evolved over time; — During the summer of 2020, the data were not published during weekends and holidays. ### **resources** — **[view dashboard](https://www.gouvernement.fr/info-coronavirus/carte-et-donnees)** — **[see COVID-19 data inventory on data.gouv.fr](https://www.data.gouv.fr/fr/pages/donnees-coronavirus)** — **[view data from Santé publique France](https://www.data.gouv.fr/fr/organizations/sante-publique-france/)** — **[consult data from the Ministry of Solidarity and Health](https://www.data.gouv.fr/fr/organizations/ministere-des-solidarites-et-de-la-sante/)**