On the contrary:
Cohort study, n=3,802 people tested, local scale.
Exclusion of about 2.2% of the network population not wishing to share their medical data.
Multiple imputation of missing data (more than 10% missing data for BMI, smoking status, ethnic origin).
Change in practices as of March 14: self-sampling since then.
Cohort study on a primary care network.
Analysis of regularly collected pseudonymized data for patients in the primary care sentinel network of the Centre for Research and Surveillance who were tested for SARS-CoV-2 between January 28 and April 4, 2020.
Inclusion of patients enrolled in a practice at the Research and Surveillance Centre as of September 30, 2019
Multivariate logistic regression model with multiple imputation to identify risk factors for SARS-CoV-2 positive tests.
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