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Publications françaises #Covid19 référencées dans Pubmed

Information Table Nombre de publications cumulées Export API

Ce jeu de données recense les publications françaises (c'est-à-dire avec au moins une affiliation française) liées au Covid19 et réferencées dans Pubmed.

La requête Pubmed est la suivante, reprise de la page Pubmed consacrée au Sars-CoV-2 :

((wuhan[All Fields] AND ("coronavirus"[MeSH Terms] OR "coronavirus"[All Fields])) AND 2019/12[PDAT] : 2030[PDAT]) OR 2019-nCoV[All Fields] OR 2019nCoV[All Fields] OR COVID-19[All Fields] OR SARS-CoV-2[All Fields]

Le pays d'affiliation est détecté automatiquement en fonction du champ décrivant l'affiliation dans Pubmed (nom de pays si indiqué, nom de ville, d'université, d'organisme ...).

Dataset Identifier

fr-esr-covid-publications-france

Downloads

25,073

Themes

Education, Formation, Recherche, Enseignement

Keywords

COVID-19, SARS-CoV-2, publications scientifiques, publication scientifique, auteurs, DOI, ISSN, pays, Pubmed, PMID, MeSH, 2019-nCoV, Coronavirus

License

Licence Ouverte v2.0 (Etalab)

Language

French

Modified

7 October 2021 15:47

Publisher

Département des outils d'aide à la décision

Territory

France ,

By subscribing to this dataset, you can receive email notifications from the dataset's publisher if important changes happen.

Last processing

15 October 2024 08:09 (metadata)

7 October 2021 15:47 (data)

DCAT

Creator

Département des outils d'aide à la décision

Attachments

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Dataset schema

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pmid

No description available for this field.

Name (identifier)	pmid
Type	text
Sample	31727466

doi

No description available for this field.

Name (identifier)	doi
Type	text
Sample	10.1016/j.medmal.2019.10.004

title

No description available for this field.

Name (identifier)	title
Type	text
Sample	Focus on Middle East respiratory syndrome coronavirus (MERS-CoV).

source

No description available for this field.

Name (identifier)	source
Type	text
Sample	pubmed

publication_date

No description available for this field.

Name (identifier)	publication_date
Type	datetime
Sample	2019-11-11T00:00:00+00:00

publication_date_week_end

No description available for this field.

Name (identifier)	publication_date_week_end
Type	datetime
Sample	2019-11-17T00:00:00+00:00

publication_types

No description available for this field.

Name (identifier)	publication_types
Type	text
Sample	Journal Article;Review

journal_name

No description available for this field.

Name (identifier)	journal_name
Type	text
Sample	Médecine et Maladies Infectieuses

journal_issns

No description available for this field.

Name (identifier)	journal_issns
Type	text
Sample	0399-077X

url

No description available for this field.

Name (identifier)	url
Type	text
Sample	https://www.ncbi.nlm.nih.gov/pubmed/31727466

language

No description available for this field.

Name (identifier)	language
Type	text
Sample	en

abstract

No description available for this field.

Name (identifier)

abstract

Type

text

Sample

Since the first case of human infection by the Middle East respiratory syndrome coronavirus (MERS-CoV) in Saudi Arabia in June 2012, more than 2260 cases of confirmed MERS-CoV infection and 803 related deaths have been reported since the 16th of October 2018. The vast majority of these cases (71%) were reported in Saudi Arabia but the epidemic has now spread to 27 countries and has not ceased 6 years later, unlike SARS-CoV that disappeared a little less than 2 years after emerging. Due to the high fatality rate observed in MERS-CoV infected patients (36%), much effort has been put into understanding the origin and pathophysiology of this novel coronavirus to prevent it from becoming endemic in humans. This review focuses in particular on the origin, epidemiology and clinical manifestations of MERS-CoV, as well as the diagnosis and treatment of infected patients. The experience gained over recent years on how to manage the different risks related to this kind of epidemic will be key to being prepared for future outbreaks of communicable disease.

countries

No description available for this field.

Name (identifier)	countries
Type	text
Sample	FR

affiliations

No description available for this field.

Name (identifier)

affiliations

Type

text

Sample

Service des maladies infectieuses et tropicales, hôpitaux universitaires Pitié-Salpêtrière Charles Foix, AP-HP, Paris, France.;Inserm, Laboratoire de Virologie, IAME, UMR 1137, Hôpital Bichat, Sorbonne Paris Cité, Université Paris Diderot, AP-HP, Paris, France.;Inserm, Laboratoire de Virologie, IAME, UMR 1137, Hôpital Bichat, Sorbonne Paris Cité, Université Paris Diderot, AP-HP, Paris, France. Electronic address: benoit.visseaux@aphp.fr.

authors

No description available for this field.

Name (identifier)	authors
Type	text
Sample	A Bleibtreu;M Bertine;C Bertin;N Houhou-Fidouh;B Visseaux

keywords

No description available for this field.

Name (identifier)	keywords
Type	text
Sample	Coronavirus;Emerging disease;MERS-CoV;Maladies émergentes;Pneumonia;Pneumonie

mesh

No description available for this field.

Name (identifier)

mesh

Type

text

Sample

Animals;Antiviral Agents__therapeutic use;Camelus__virology;Chiroptera__virology;Communicable Diseases, Emerging__epidemiology;Coronavirus Infections__diagnosis;Disease Management;Disease Reservoirs;Epidemics;Extracorporeal Membrane Oxygenation;Genome, Viral;Global Health;Humans;Hygiene;Middle East Respiratory Syndrome Coronavirus__genetics;Risk Factors;Saudi Arabia__epidemiology;Survival Rate;Symptom Assessment;Travel;Viral Vaccines

grants

No description available for this field.

Name (identifier)	grants
Type	text
Sample

grant_agency

No description available for this field.

Name (identifier)	grant_agency
Type	text
Sample

cumulated_count

No description available for this field.

Name (identifier)	cumulated_count
Type	decimal
Sample	7

JSON Schema

The following JSON object is a standardized description of your dataset's schema. More about JSON schema.

{

"title":"fr-esr-covid-publications-france",
"type":"object",
"oneOf":
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}

}

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