Assessing the likelihood of contracting COVID-19 disease based on a predictive tree model: A retrospective cohort study.
Francesc X Marin-GomezMireia Fàbregas-EscurriolaFrancesc López SeguíEduardo Hermosilla PérezMència Benítez CampsJacobo Mendioroz PeñaAnna Ruiz ComellasJosep Vidal-AlaballPublished in: PloS one (2021)
The use of a classification tree model may be useful in screening for COVID-19 infection. Contact detection is the most reliable variable for detecting Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) cases. The model would support that, beyond a symptomatic diagnosis, the best way to detect cases would be to engage in contact tracing.