As of November 24, 2024, France has reported over 39 million coronavirus cases and roughly 168,100 deaths. Like many countries in the world, France has been strongly impacted by the COVID-19 virus.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 data package includes the underlying data and files to replicate the calculations, charts, and tables presented in When more delivers less: Comparing the US and French COVID-19 crisis responses, PIIE Policy Brief 20-9. If you use the data, please cite as: Cohen-Setton, Jérémie, and Jean Pisani-Ferry. (2020). When more delivers less: Comparing the US and French COVID-19 crisis responses. PIIE Policy Brief 20-9. Peterson Institute for International Economics.

France recorded 383768 Coronavirus Recovered since the epidemic began, according to the World Health Organization (WHO). In addition, France reported 127869 Coronavirus Deaths. This dataset includes a chart with historical data for France Coronavirus Recovered.

The number of COVID-19 vaccination doses administered in France rose to 154451978 as of Oct 27 2023. This dataset includes a chart with historical data for France Coronavirus Vaccination Total.

Context

COVID-19 has infected many people in France.

Content

The dataset is no longer updated. It contains almost all French metropolitan regions plus overseas regions, updated on March 09 2020. If you want to help updating this dataset, see contributions section below.

This dataset intention is to put all published information about COVID-19 patients in France in a csv file.

Acknowledgements

Source of data: Press releases of the French regional health agencies. Data transcripted in a csv by a GitHub community.

This work is inspired by a similar work made in South Korea: kaggle dataset.

Contributions

We need more contributors to build this dataset and keep it updated. Join us on GitHub.

Contributors: Lior Perez, Samia Drappeau, Manon Fourniol, Zoragna, Raphaël Presberg

Content

This dataset contains # of deaths by date in France 2020-04-11 Now contains nursing home data

Source

Santé Publique France

Context

This are data useful to track and possibly predict the spread in France of 2019-nCoV, a highly contagious coronavirus that originated from Wuhan (Hubei province), Mainland China. France is a neighboring country of the second mainly infected at the time this database has been created, Italy

Content

Main dataset (France) is sourced from the governamental site:

https://www.data.gouv.fr/en/datasets/chiffres-cles-concernant-lepidemie-de-covid19-en-france/ or the daily updated repository https://github.com/opencovid19-fr

Data for China have been obtained from:

https://data.gov.hk/en-data/dataset/hk-dh-chpsebcddr-novel-infectious-agent

Those for Italy and Piedmont region are from the national website

http://www.protezionecivile.gov.it

Acknowledgements

Thanks to the French government that openly shares these important data to us.

Ce tableau de bord fournit une mise à jour quotidienne de la progression du Coronavirus COVID-19 en France (Métropole et DOM).Il se base sur les données publiées quotidiennement par Santé Publique France.Il comptabilise et représente :Le nombre de cas confirmés au niveau nationalLe nombre de décès au niveau nationalLe nombre de cas confirmés par région (sous forme de graphique et de carte par symboles proportionnels)La part des cas confirmés par rapport à la population, par région (sous forme de carte par dégradé de couleurs)L'évolution dans le temps du nombre de cas confirmés (sous forme de graphique) Il est optimisé pour être affiché sur un navigateur web (ordinateur ou tablette).Il fournit également un lien vers le tableau de bord national en version optimisée pour mobile.Visiter le site Esri France

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

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.

Context

This dataset contains around 6k articles related to COVID-19 from 69 french-speaking news websites.

Content

• date_publish: Date of the publication. Some dates are inaccurate.
• title: Headline of the article.
• description: Short description of the article.
• maintext: Main content of the article. Some data are truncated because a subscription is required.
• url: URL of the article.
• labels: Categories of the article.

Acknowledgements

This dataset was collected from lemonde.fr, lefigaro.fr, liberation.fr, leparisien.fr, lesechos.fr, la-croix.com, lequipe.fr, slate.fr, latribune.fr, nouvelobs.com, lexpress.fr, marianne.net, francesoir.fr, leprogres.fr, lejdd.fr, linternaute.com, telerama.fr, bfmtv.com, lci.fr, francetvinfo.fr, boursorama.com, rtl.fr, clubic.com, huffingtonpost.fr, capital.fr, ledauphine.com, parismatch.com, europe1.fr, legorafi.fr, lalibre.be, lesoir.be, closermag.fr, elle.fr, esprit.presse.fr, sciencesetavenir.fr, politis.fr, caminteresse.fr, femmeactuelle.fr, nationalgeographic.fr, voici.fr, regards.fr, larecherche.fr, lhistoire.fr, journalmetro.com, dhnet.be, letemps.ch, levif.be, lesaffaires.com, lactualite.com, rtbf.be, franceinter.fr, lepetitjournal.com, lapresse.ca, futura-sciences.com, science-et-vie.com, pourlascience.fr, demotivateur.fr, buzzbeed.com, nordpresse.be, bopress.ma, secretnews.fr, letelegramme.fr, numerama.com, laprovence.com, ladepeche.fr, midilibre.fr, telestar.fr, courrierinternational.com and melty.fr.

Inspiration

• Study the media impact of COVID-19
• Analyze different writing styles
• Sentiment Analysis
• News generation

Citation

If you're using this dataset for research purposes, please use the following BibTex for citations:

@dataset{covidfrenchnews,
 author = {Gustave Cortal},
 year = {2021},
 month = {03},
 title = {COVID-19: French news dataset},
 url = {https://www.gustavecortal.com}

}

Data about CODIV-19 from Santé Publique France Website from 2020-02-28 until 2020-03-10 Unfortunately, from April, SPF don't provide data for each région (area). So I stop to use SPF source from April until now.

Because this website was changing every week, from html to PDF format, I had to start with scrapy directly on html data and finish with PDF files. Data was taken directly into HTML and PDF automatically.

The website page was : 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

The kernel to see how to use PDF miner or Scrapy is there : https://www.kaggle.com/jeugregg/coronavirus-visualization-modeling

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.

Santé publique France's mission is to improve and protect the health of populations. During the health crisis linked to the COVID-19 epidemic, Public Health France is responsible for monitoring and understanding the dynamics of the epidemic, anticipating the different scenarios and implementing actions to prevent and limit the transmission of this virus on the national territory.

Daily hospital data relating to the COVID-19 epidemic by department and sex of the patient: number of hospitalized patients, number of people currently in intensive care or intensive care, cumulative number of people returned home, cumulative number of people who died.

For some patients, gender was not identified in the database. This can lead to a discrepancy between the H/F sum of an indicator and the total number of this indicator.

The region and iso 3166-1 codes of the zones have been added.

Warning: data under construction. May contain anomalies or missing data.

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

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 ?

An evaluation was conducted to predict the economic and clinical burden of vaccinating all immunocompromised (IC) individuals aged ≥30 years with mRNA-1273 variant-adapted COVID-19 vaccines versus BNT162b2 variant-adapted vaccines in Fall 2023 and Spring 2024 in France. The number of symptomatic SARS-CoV-2 infections, hospitalizations or deaths due to COVID-19, and long COVID cases, costs and quality-adjusted life years (QALYs) were estimated using a static decision-analytic model. Predicted vaccine effectiveness (VE) were based on real-world data from the original and BA.4/5 variant-adapted vaccines, suggesting higher protection against infection and hospitalization with mRNA-1273 vaccines. VE estimates were combined with COVID-19 incidence and probability of COVID-19 severe outcomes. Uncertainty surrounding VE, vaccine coverage, infection incidence, hospitalization and mortality rates, costs and QALYs were evaluated in sensitivity analyses. In an ideal situation where 100% coverage is achieved, the mRNA-1273 variant-adapted vaccine is predicted to prevent an additional 3,882 infections, 357 hospitalizations, 81 deaths, and 326 long COVID cases when compared to BNT162b2 variant-adapted vaccines in 230,000 IC individuals. This translates to €10.1 million cost-savings from a societal perspective and 645 QALYs gained. Results were consistent across all analyses and most sensitive to variations surrounding VE and coverage. These findings highlight the importance of increasing vaccine coverage, and ability to induce higher levels of protection with mRNA-1273 formulations in this vulnerable population.

In France, 53.8 million people have received the two doses required for complete vaccination against COVID-19 as of July 2023. France launched its vaccination campaign against the coronavirus epidemic (COVID-19) on December 27, 2020. Since then, the number of people who received at least one dose of vaccine amounted to some 54.7 million, according to the French national health agency figures. In addition, 41 million people received a booster shot (a third vaccine dose) in France. The recent evolution of COVID-19 in France As of December 2023, France's cumulative number of COVID-19 infections reached 39 million. France registered over 20,000 cases of COVID-19 within a week (between April 26 and May 3). As of December 2023, France's COVID-19 death toll stood at 168,000 deaths. The hospital situation in France As of May 2022, the country registered around 12,700 hospital patients due to COVID-19. At the same time, just over 700 ICU patients were in French intensive care units due to the coronavirus. According to the geographical distribution of patients, Parisian ICUs treated the highest number of patients.