Objective: Rapidly phenotyping patients can inform public health action plans in new pandemics. This study aimed to derive meaningful SARS-CoV-2 reinfected patients' phenotypes based on easily-available patient data and explore key epidemiological factors of reinfections.
Methods: We conducted a retrospective study of a cohort of SARS-CoV-2 reinfected adults from the Basque Country between January 1, 2021 and January 9, 2022.
The objectives of this study are to develop a predictive model of hospital admission for COVID-19 to help in the activation of emergency services, early referrals from primary care, and the improvement of clinical decision-making in emergency room services. The method is the retrospective cohort study of 49,750 patients with microbiological confirmation of SARS-CoV-2 infection. The sample was randomly divided into two subsamples, for the purposes of derivation and validation of the prediction rule (60% and 40%, respectively).
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