Application of Machine Learning Prediction of Individual SARS-CoV-2 Vaccination and Infection Status to the French Serosurveillance Survey From March 2020 to 2022: Cross-Sectional Study

• Main Authors: Stéphanie Bougeard (Author), Adeline Huneau-Salaun (Author), Mikael Attia (Author), Jean-Baptiste Richard (Author), Caroline Demeret (Author), Johnny Platon (Author), Virginie Allain (Author), Stéphane Le Vu (Author), Sophie Goyard (Author), Véronique Gillon (Author), Sibylle Bernard-Stoecklin (Author), Bernadette Crescenzo-Chaigne (Author), Gabrielle Jones (Author), Nicolas Rose (Author), Sylvie van der Werf (Author), Olivier Lantz (Author), Thierry Rose (Author), Harold Noël (Author)
• Format: Book
• Published: JMIR Publications, 2023-11-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

BackgroundThe seroprevalence of SARS-CoV-2 infection in the French population was estimated with a representative, repeated cross-sectional survey based on residual sera from routine blood testing. These data contained no information on infection or vaccination status, thus limiting the ability to d...