As of July 28, 2024, the French health authorities registered close to 39 million confirmed cases of COVID-19 in France. The first cases of the disease were recorded by the end of January 2020, with the highest increase in cases taking place between December 2021 and March 2022.

For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

France recorded 163279 Coronavirus Deaths since the epidemic began, according to the World Health Organization (WHO). In addition, France reported 38989402 Coronavirus Cases. This dataset includes a chart with historical data for France Coronavirus Deaths.

On July 28, 2024, the coronavirus death toll stood at over 168,000 deaths in France. The cumulative number of deaths in France attributed to COVID-19 increased especially in the winter season 2020-2021.

For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

In past 24 hours, France, Europe had N/A new cases, N/A deaths and N/A recoveries.

This statistic shows the number of confirmed COVID-19 (coronavirus) cases in France as of March 25, 2020, split down by region. On that day (2:00 pm), there were a total of 25,233 cases registered in all of France. With 7,660 cases, the Paris region (Ile-de-France) was the region most touched by the outbreak. The overseas regions registered a total of 313 cases.

SARS-CoV-2 coronavirus

Coronaviruses are a large family of viruses that cause illnesses ranging from a common cold to more severe conditions. But the virus in question here is a new coronavirus which causes a lung disease which has been named COVID-19 (Corona virus disease 2019). It made its first appearance back in December 2019 in the Chinese city of Wuhan. According to Chinese authorities, people infected with the virus could have contracted it by consuming products of animal origin from a large city market, the Huanan Seafood Wholesale Market. On March 11, the World Health Organization classified COVID-19 as a pandemic.

The situation in France

Although the number of confirmed cases is far less important than it is in China, France nevertheless features among the countries most affected by the outbreak. During a survey conducted in mid-March, 35 percent of French people stated being very worried about the spread of this new virus and 49 percent were rather worried. As of March 26, 1,333 people out of 25,600 infected had died from the virus and 3,907 had been listed as cured.

For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

As of November 24, 2024 there were over 274 million confirmed cases of coronavirus (COVID-19) across the whole of Europe since the first confirmed cases in France in January 2020. France has been the worst affected country in Europe with 39,028,437 confirmed cases, followed by Germany with 38,437,756 cases. Italy and the UK have approximately 26.8 million and 25 million cases respectively. For further information about the coronavirus pandemic, please visit our dedicated Facts and Figures page.

Context

Try to scrap data from official website of South Korea & France linked to COVID-19 confirmed cases and death in 2020

Content

Script to scrap data (France Publique Santé et South Korean KCDC) Results of scrapy : Data of COVID-19 confirmed cases & deaths Use direct link to differents sources : look at Acknowledgements

I use a very simple R0 model to try to evaluate what would happened without lock-down in Hubei, France, South-Korea, Italy in this https://www.kaggle.com/jeugregg/coronavirus-visualization-modeling

Acknowledgements

The world data is taken from https://github.com/CSSEGISandData/COVID-19 provided by JHU CSSE

South Korea areas data are retrieved with scrapy from online KCDC Press Release articles at https://www.cdc.go.kr/board/board.es?mid=a30402000000&bid=0030.

France areas data are taken with scrapy from online santepubliquefrance.fr Press articles at https://www.santepubliquefrance.fr/maladies-et-traumatismes/maladies-et-infections-respiratoires/infection-a-coronavirus/articles/infection-au-nouveau-coronavirus-sars-cov-2-covid-19-france-et-monde and https://www.worldometers.info/coronavirus/country/france/ but until 25th March 2020.

For Global France, data are from https://www.data.gouv.fr/fr/datasets/donnees-relatives-aux-resultats-des-tests-virologiques-covid-19/

For Global Italy, Germany, Hubei data are from https://www.worldometers.info/coronavirus/

Inspiration

What is the result of how each countries try to struggle this virus ?

Since December 2019, a new agent, the SARS-Cov-2 coronavirus has been rapidly spreading from China to other countries causing an international outbreak of respiratory illnesses named COVID-19. In France, the first cases have been reported at the end of January with more than 60000 cases reported since then. A significant proportion (20-30%) of hospitalized COVID-19 patients will be admitted to intensive care unit. However, few data are available for this special population in France.

We conduct a large observational cohort of ICU suspected or proven COVID-19 patients that will enable to describe the initial management of COVID 19 patients admitted to ICU and to identify factors correlated to clinical outcome.

Work in progress

This dataset comes from https://github.com/scrouzet/covid19-incrementality If you want to get a fresh data update, please go to this repo.

covid19-incrementalite

Study on incrementality of COVID-19 effect. Objective : quantify death increase due to COVID-19 in France at a department level.

References

• https://medium.com/@davidbessis/coronavirus-the-core-metrics-we-should-be-looking-at-2ca09a3dc4b1

Data sources

Death data form INSEE (French Statistic Agency) : https://www.data.gouv.fr/fr/datasets/fichier-des-personnes-decedees/

Geography referential (commune and departement) : https://geo.api.gouv.fr

Population data time serie from INSEE : https://www.insee.fr/fr/statistiques/1893198

Methodology

Data preparation :

• Collection and concatenation of yearly death data (1990=> 2019)
• Deleted " replaced with white space
• retreated dates : removed lines with invalid birth or death dates (0,72% of cases)
• fitler death dates> 1970
• join with geography referential to assiciate commune with department
• correction of department for specific geographies (Lyon, Paris, Marseille with arrondissement code instead of comune code in INSEE File)
• Grouping by death department, death date, sex, age, year of observation

Colonnes du fichier : data/INSEE_deces_2010_2019.zip

• year of observation (annee_comptabilisation) = year of the yearly file where the death has been accounted for. (2019 = deces_2019.txt). Please note that a yearly file contains death dates from previous yeras due to delay in data collection at insee. All files must be concatenated to get a complete view of death for a given year. Duplicate records are already removed.
• sexe : 1 = Male / 2 = Female
• age : age at death time
• departement_deces : department code of the commune where death happend. Note that some department are not valid in the repository : 1% death in "99" departement, non significative death cases in "98" department. The department name and associated region is provided in the geography referential
• date_deces : death_date
• nb_deces : count of deceased person, grouped by (anneee_comptabilisation, sex, age, departement_code, date_deces)

Modélisation

WORK IN PROGRESS - Modélisation par classe d'age et par département - Retraitement de la canicule 2003 - redressement des données hebdo de l'INSEE pour estimer l'effet de décallage dans la remontée des information (délai entre survenance du délai et comptabilisation par l'INSEE)

Preprocessing

The pickle files in 'preprocessed' directory have been generated with data from the 'data' directory. See original repo for preprocessing method.

How to contribute

1. Fork this repo
2. Commit your code in your forked repo
3. Do a pull-request on the main repo and ask for code reviewers
4. Take into account the comments

For contributors 1. Make a branch "feat-short_name_feature" 2. Commit your code in this branch 3. Do a pull-request on the main repo and ask for code reviewers 4. Take into account the comments

COVID-19, commonly referred to as the Coronavirus, is dominating headlines the world over. The travel & tourism sector is suffering significant disruption and the airlines industry is very much impacted. Air France has not escaped unscathed. Read More

Context

COVID-19 data in Turkey. Daily Covid-19 data published by our health ministry.

Content

time_series_covid_19_confirmed_tr
time_series_covid_19_recovered_tr
time_series_covid_19_deaths_tr
time_series_covid_19_intubated_tr
time_series_covid_19_intensive_care_tr.csv 
time_series_covid_19_tested_tr.csv 
test_numbers : Number of test (daily)

Total data

covid_19_data_tr

Github

Github repo : https://github.com/gkhan496/Covid19-in-Turkey/

Acknowledgements

We would like to thank our health ministry and all health workers.

Country level datasets

USA - https://www.kaggle.com/sudalairajkumar/covid19-in-usa Indonesia - https://www.kaggle.com/ardisragen/indonesia-coronavirus-cases France - https://www.kaggle.com/lperez/coronavirus-france-dataset Tunisia - https://www.kaggle.com/ghassen1302/coronavirus-tunisia Japan - https://www.kaggle.com/tsubasatwi/close-contact-status-of-corona-in-japan South Korea - https://www.kaggle.com/kimjihoo/coronavirusdataset Italy - https://www.kaggle.com/sudalairajkumar/covid19-in-italy Brazil - https://www.kaggle.com/unanimad/corona-virus-brazil

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F2311214%2Feaf61a1cf97850b64aefd52d3de5890b%2FXMhaJ.png?generation=1586182028591623&alt=media" alt="">

Source : https://fastlifehacks.com/n95-vs-ffp/

https://covid19.saglik.gov.tr https://gisanddata.maps.arcgis.com/apps/opsdashboard/index.html?fbclid=IwAR0k49fzqTxI4HBBZF7n4hLX4Zj0Q2KII_WOEo7agklC20KODB3TOeF8RrU#/bda7594740fd40299423467b48e9ecf6 http://who.int/ --situation reports https://evrimagaci.org/covid19#turkey-statistics

WHO: COVID-2019: Number of Patients: Confirmed: To-Date: France data was reported at 38,997,490.000 Person in 24 Dec 2023. This stayed constant from the previous number of 38,997,490.000 Person for 23 Dec 2023. WHO: COVID-2019: Number of Patients: Confirmed: To-Date: France data is updated daily, averaging 9,850,650.000 Person from Jan 2020 (Median) to 24 Dec 2023, with 1431 observations. The data reached an all-time high of 38,997,490.000 Person in 24 Dec 2023 and a record low of 0.000 Person in 25 Jan 2020. WHO: COVID-2019: Number of Patients: Confirmed: To-Date: France data remains active status in CEIC and is reported by World Health Organization. The data is categorized under High Frequency Database’s Disease Outbreaks – Table WHO.D002: World Health Organization: Coronavirus Disease 2019 (COVID-2019): by Country and Region (Discontinued). In 05 March 2020 report, the figures were reduced from prior situation reports due to separation of territories. Due to some inclusions and exclusions of cases that are not properly reflected in WHO report, which are the result of the retrospective adjustments of national authorities, some current day “To-date” figures will not tally to the sum of previous day “To-date” cases and current day new reported cases. Figures with excluded cases are relatively lower compared to the previous day.

This graph reveals the number of COVID-19 coronavirus cases investigated in France between February 24 and March 15, 2020, according to the result. Out of a total of 36,747 tests carried out during this period, 6,153 turned out positive.

For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

Santé Publique France published a daily update on this page indicating the number of confirmed cases of COVID-19 virus infection (“Coronavirus”), region by region, up to and including 25 March 2020. This dataset offers this data in csv, accumulated over the days. Before using this data to provide graphic representations or calculations, be sure to read this article. Confirmed cases of COVID19 contamination by region The source code used to retrieve and compile data is free license here.

Abstract France was the first European country to confirm cases of COVID-19, being one of the most affected by the pandemic in the first wave. This case study analyzed the measures adopted by the country in the fight against COVID-19 in 2020 and 2021, correlating it to the characteristics of its health and surveillance system. As a welfare state, it relied on compensatory policies and protection of the economy, as well as increased investments in health. There were weaknesses in the preparation and delay in the implementation of the coping plan. The response was coordinated by the national executive power, adopting strict lockdowns in the first two waves, mitigating restrictive measures in the other waves, after the increase in vaccination coverage and in the face of population resistance. The country faced problems with testing, case and contact surveillance and patient care, especially in the first wave. It was necessary to modify the health insurance rules to expand coverage, access and better articulation of surveillance actions. It indicates lessons learned about the limits of its social security system, but also the potential of a government with a strong response capacity in the financing of public policies and regulation of other sectors to face the crisis.

This Project Tycho dataset includes a CSV file with COVID-19 data reported in FRANCE: 2019-12-30 - 2021-07-31. It contains counts of cases and deaths. Data for this Project Tycho dataset comes from: "COVID-19 Data Repository by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University", "European Centre for Disease Prevention and Control Website", "World Health Organization COVID-19 Dashboard". The data have been pre-processed into the standard Project Tycho data format v1.1.

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.

These data are shown in particular on the tab overview of the epidemic monitoring dashboard available on government.fr. The latter presents data on the COVID-19 outbreak in France since 28 March 2020.

This tool whose source code is free 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 — see COVID-19 data inventory on data.gouv.fr — view data from Santé publique France — **[consult data from the Ministry of Solidarity and Health](https://www.data.gouv.fr/fr/organizations/ministere-des-solidarites-et-de-

Actions of Public Health France Public Health France’s mission is to improve and protect the health of populations. During the health crisis linked to the COVID-19 outbreak, Santé publique France is responsible for monitoring and understanding the dynamics of the epidemic, anticipating the various scenarios and putting in place actions to prevent and limit the transmission of this virus on national territory. ### The Tracking Information System (SI-DEP) The new screening information system (SI-DEP), which has been in operation since 13 May 2020, is a secure platform where the results of the laboratory tests carried out by all city and hospital laboratories for SARS-COV2 are systematically recorded. The creation of this information system is authorised for a period of 6 months from the end of the state of health emergency by application of Decree No 2020-551 of 12 May 2020 on the information systems referred to in Article 11 of Law No 2020-546 of 11 May 2020 extending the state of health emergency and supplementing its provisions. ### Description of data This dataset provides information at the departmental and regional level: — the daily and weekly incidence rate per age group; — the daily and weekly standardised incidence rate; — the sliding standardised incidence rate. This dataset provides information at the national level: — the daily and weekly incidence rate by age group and sex; — the daily and weekly standardised incidence rate; — the sliding standardised incidence rate. The incidence rate corresponds to the number of positive tests per 100,000 inhabitants. It shall be calculated as follows: (100000 * number of positive cases)/Population Accuracy: — From 29/08 onwards, laboratory data indicators (SI-DEP) show rates of incidence, positivity and screening adjusted for screenings conducted at airports upon arrival of international flights. — For more information, see the methodological note available in the resources. Limits: — Only the biological tests of persons for whom the residence department could be located are shown on the maps. Persons whose department could not be traced in the SIDEP data are counted only at the whole French level. As a result, the sum of the tests indicated in the departments or regions is less than the number of tests indicated in France. — The time limit for repeating tests may exceed 9 days in some cases. The indicators are adjusted daily according to the receipt of the results. ### Notable changes Since 8 December, after verifying the quality of the reported data, all results of RT-PCR or Antigenic tests have been included in the production of national and territorial epidemiological indicators (incidence rates, positivity rates and screening rates) relevant to the monitoring of the COVID-19 outbreak. On the other hand, the epidemic is prolonging in time and screening capacities have increased, leading to an increasing frequency of people tested several times. Thus, an adjustment of the methods of splitting for patients benefiting from repeated tests and therefore the definition of the persons tested was necessary. Public Health France, in its patient-centred epidemiological approach, has therefore adapted its methods to ensure that these indicators reflect, in particular, the proportion of infected people among the population tested. These developments have no impact on the trends and interpretation of the dynamics of the epidemic, which remain the same. More precise test data (impact and positivity) are also published by Santé publique France (SI-DEP data).

In past 24 hours, French Polynesia, Australia-Oceania had N/A new cases, N/A deaths and N/A recoveries.

In January 2020 the first cases of coronavirus (COVID-19) in Europe were confirmed in France, there have now been 270,744,353 confirmed cases in Europe as of January 13, 2023. The week beginning January 24, 2022 saw the highest number of new cases in Europe in a single week with around 12.1 million new cases. France has the highest amount of confirmed cases in Europe with 38,337,350, followed by Germany with 37,594,526 cases. A full country breakdown of cases in Europe can be found here.

For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page