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The Design and Implementation of the ECOVIR Project: A Primary Health Care Surveillance System to Strengthen Co-Detection of Respiratory Viruses in Normandy.
Petat, Hortense; Schuers, Matthieu; Corbet, Sandrine; Humbert, Xavier; Le Bas, François; Marguet, Christophe; Pellerin, Lucille; Rabiaza, Andry; Vabret, Astrid; Ar Gouilh, Meriadeg.
Affiliation
  • Petat H; INSERM, UMR1311-DYNAMICURE-Institut de Biologie Clinique, CHU, F-7600 Rouen, France.
  • Schuers M; Laboratoire de Virologie, Centre Hospitalo-Universitaire, F-14033 Caen, France.
  • Corbet S; Centre Hospitalier Universitaire de Rouen, Département de Pédiatrie Médicale, EA2656 Université de Normandie, UNIRouen, F-7600 Rouen, France.
  • Humbert X; Département de Médecine Générale, Normandie Université, UFR Santé Rouen, F-7600 Rouen, France.
  • Le Bas F; INSERM, U1142, Laboratoire d'Informatique Médicale et d'Ingénierie des Connaissances en e-Santé, LIMICS, Sorbonne Université, F-75006 Paris, France.
  • Marguet C; Laboratoire de Virologie, Centre Hospitalo-Universitaire, F-14033 Caen, France.
  • Pellerin L; Centre Hospitalier Universitaire de Rouen, Département de Pédiatrie Médicale, EA2656 Université de Normandie, UNIRouen, F-7600 Rouen, France.
  • Rabiaza A; Département de Médecine Générale, Normandie University, UNICAEN, UFR Santé, F-14000 Caen, France.
  • Vabret A; Département de Médecine Générale, Normandie University, UNICAEN, UFR Santé, F-14000 Caen, France.
  • Ar Gouilh M; INSERM, UMR1311-DYNAMICURE-Institut de Biologie Clinique, CHU, F-7600 Rouen, France.
Methods Protoc ; 5(6)2022 Dec 13.
Article de En | MEDLINE | ID: mdl-36548140
ABSTRACT
Acute respiratory infections (ARIs) need to be better understood and treated, as they are critical to public health, especially during crises such as the SARS-CoV2 pandemic. These are the most abundant infections in the general population and are seen primarily in primary care by general practitioners (GPs). Many different viruses are involved, according to epidemic variations. Viral co-detections account for a significant proportion of ARIs in hospital cohorts. The objective of the ECOVIR cohort was to study viral co-detections by setting up a biobank of respiratory tract samples from patients consulting their general practitioner for ARI symptoms. We report here on the course of the study the design, the conduct, and the difficulties encountered. ECOVIR (Etude des CO-detections VIrales dans les prélèvements Respiratoires) was a prospective, multicenter cohort conducted in France during two epidemic seasons (2018-2019 and 2019-2020). We recruited GPs. Each GP investigator (GPI) saw patients weekly for examination, clinical data collection, and nasopharyngeal swabbing. Each sample was sent to the virology unit for biobanking and molecular analysis. Clinical and sociodemographic data were collected 7 days after inclusion. ECOVIR involved 36 GPIs. Patients with symptoms of an ARI were included (n = 685). The median number of inclusions was 16 patients per GPI over both seasons (IC25-75% [4.75; 27]). Patients aged 18 to 64 years were the most numerous (57%), followed by children (30%), and the elderly (13% over 65 years). This age distribution emphasizes the young adult and middle-aged population. Residents participated in the project and called patients on day 7 to obtain clinical and sociodemographic data. Our study triggered the creation of an original network, which plans to establish a functional link between research and primary health care. Primary care is unfortunately poorly represented in research protocols, particularly in respiratory infections, even though it is a cornerstone of our French health care system, as demonstrated every day in this period of crisis.
Mots clés

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Type d'étude: Clinical_trials / Diagnostic_studies / Guideline / Screening_studies Aspects: Implementation_research Langue: En Journal: Methods Protoc Année: 2022 Type de document: Article Pays d'affiliation: France

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Type d'étude: Clinical_trials / Diagnostic_studies / Guideline / Screening_studies Aspects: Implementation_research Langue: En Journal: Methods Protoc Année: 2022 Type de document: Article Pays d'affiliation: France
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