Incidence and risk factors of COVID-19-like symptoms in the French general population during the lockdown period: a multi-cohort study

BMC Infectious Diseases

Gianluca Severi¹  Alexandra Rouquette²  Nathalie Bajos³  Marie-Aline Charles⁴  Pierre-Yves Ancel⁵  Marie Zins⁶  Delphine Rahib⁷  Nathalie Lydié⁷  Mathilde Touvier⁸  Fabrice Carrat⁹  Nathanael Lapidus⁹  Xavier de Lamballerie^1,10  Laurence Meyer^1,11  Florence Jusot^1,12 

[1] CESP UMR1018, Université Paris-Saclay, UVSQ, Inserm, Gustave Roussy, Villejuif, Paris, France;Department of Statistics, Computer Science and Applications, University of Florence, Florence, Italy;Department of Statistics, Computer Science and Applications, University of Florence, Florence, Italy;Université Paris Saclay, Inserm, CESP U1018, Le Kremlin Bicêtre, Paris, France;IRIS, Inserm/EHESS/CNRS, Aubervilliers, France;Ined, Inserm, EFS, UMS Elfe, Aubervilliers, Paris, France;Obstetrical, Perinatal and Pediatric Epidemiology Research Team, Center for Epidemiology and Statistics Sorbonne Paris Cité, INSERM U1153, Paris Descartes University, Paris, France;Clinical Research Unit, Center for Clinical Investigation P1419, Cochin Broca Hôtel-Dieu Hospital, Paris, France;Paris University, Paris, France;Paris Saclay University, Inserm UMS 11, Villejuif, France;Santé publique France, Saint-Maurice, France;Sorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center – University of Paris (CRESS), Bobigny, France;Sorbonne Université, Inserm, Institut Pierre-Louis d’Epidémiologie et de Santé Publique, 27 rue Chaligny, 75571 CEDEX 12, Paris, France;Département de Santé Publique, APHP. Sorbonne Université, Paris, France;Unité des Virus Emergents, UVE: Aix Marseille Univ, IRD 190, INSERM 1207, IHU Méditerranée Infection, 13005, Marseille, France;Université Paris Saclay, Inserm, CESP U1018, Le Kremlin Bicêtre, Paris, France;Service de Santé Publique, APHP. Paris Saclay, Le Kremlin Bicêtre, France;Université Paris-Dauphine, PSL-Research University, LEDa, Paris, France;

关键词: COVID-19;    General population;    Cohort;    Incidence;    Risk factors;    SARS-CoV-2;   

DOI  :  10.1186/s12879-021-05864-8

来源: Springer

【 摘 要 】

BackgroundOur main objectives were to estimate the incidence of illnesses presumably caused by SARS-CoV-2 infection during the lockdown period and to identify the associated risk factors.MethodsParticipants from 3 adult cohorts in the general population in France were invited to participate in a survey on COVID-19. The main outcome was COVID-19-Like Symptoms (CLS), defined as a sudden onset of cough, fever, dyspnea, ageusia and/or anosmia, that lasted more than 3 days and occurred during the 17 days before the survey. We used delayed-entry Cox models to identify associated factors.ResultsBetween April 2, 2020 and May 12, 2020, 279,478 participants were invited, 116,903 validated the questionnaire and 106,848 were included in the analysis. Three thousand thirty-five cases of CLS were reported during 62,099 person-months of follow-up. The cumulative incidences of CLS were 6.2% (95% Confidence Interval (95%CI): 5.7%; 6.6%) on day 15 and 8.8% (95%CI 8.3%; 9.2%) on day 45 of lockdown. The risk of CLS was lower in older age groups and higher in French regions with a high prevalence of SARS-CoV-2 infection, in participants living in cities > 100,000 inhabitants (vs rural areas), when at least one child or adolescent was living in the same household, in overweight or obese people, and in people with chronic respiratory diseases, anxiety or depression or chronic diseases other than diabetes, cancer, hypertension or cardiovascular diseases.ConclusionThe incidence of CLS in the general population remained high during the first 2 weeks of lockdown, and decreased significantly thereafter. Modifiable and non-modifiable risk factors were identified.

【 授权许可】

CC BY