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Academic Journal

Remdesivir for Patients Hospitalized with COVID-19 Severe Pneumonia: A National Cohort Study (Remdeco-19)

Subjects: SARS-CoV-2; pneumonia; remdesivir

  • Source: ISSN: 2077-0383 ; Journal of Clinical Medicine ; https://hal.science/hal-03985026 ; Journal of Clinical Medicine, 2022, 11 (21), pp.6545. ⟨10.3390/jcm11216545⟩.

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Academic Journal

Psychotropics and COVID-19: An analysis of safety and prophylaxis

Subjects: COVID-19; Prophylaxie; Prophylaxis

  • Source: ISSN: 0013-7006 ; L'Encéphale ; https://hal.science/hal-03369863 ; L'Encéphale, 2021, 47 (6), pp.564-588. ⟨10.1016/j.encep.2021.08.002⟩.

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Academic Journal

Severe acute respiratory syndrome coronavirus 2 vaccination for patients with solid cancer: Review and point of view of a French oncology intergroup (GCO, TNCD, UNICANCER)

Subjects: Vaccination; Solid cancers; COVID-19

  • Source: ISSN: 0959-8049 ; European Journal of Cancer ; https://hal.science/hal-03225104 ; European Journal of Cancer, 2021, 150, pp.232-239. ⟨10.1016/j.ejca.2021.03.030⟩.

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Academic Journal

French multicentre observational study on SARS-CoV-2 infections intensive care initial management: the FRENCH CORONA study

Subjects: COVID-19; Management; Outcome

  • Source: ISSN: 2352-5568 ; Anaesthesia Critical Care & Pain Medicine ; https://hal.science/hal-03632626 ; Anaesthesia Critical Care & Pain Medicine, 2021, 40 (4), pp.100931.

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Academic Journal

Enjeux de l’utilisation des psychotropes dans le cadre de la pandémie au SARS-Cov-2

Subjects: COVID-19; Psychotropes; Psychotropics

  • Source: ISSN: 0013-7006 ; L'Encéphale ; https://hal.science/hal-03490177 ; L'Encéphale, 2020, 46, pp.S116 - S118. ⟨10.1016/j.encep.2020.04.009⟩.

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Academic Journal

MEMS Biosensors and COVID-19: Missed Opportunity

Subjects: MEMS; BioMEMS; biosensors

  • Source: EISSN: 2379-3694 ; ACS Sensors ; https://laas.hal.science/hal-02972242 ; ACS Sensors, 2020, 5 (11), pp.3297-3305. ⟨10.1021/acssensors.0c01463⟩

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Report

Modèle de prévision statistique COVID-19 basé sur 10 jours d’observation ; : COVID-19 prediction model based on a 10 day series of observations

Subjects: COVID-19; SARS-COV-2; prediction

  • Source: https://hal.science/hal-02548924 ; [Rapport de recherche] Université de Franche-Comté Besançon; UMR 6249 Chrono-environnement. 2020.

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