Infection, hospitalization, ICU admission and death due to SARS-CoV-2 in a population cohort

Objective: to estimate the effect of sociodemographic characteristics, chronic diseases and other conditions on risk in infection, hospitalization and severe forms of COVID-19. Methods: Based on healthcare and epidemiological surveillance databases, the population cohort covered by the Health Service (640,000 people) will be constructed. Two sub-cohorts will be defined for specific analyzes: institutionalized people (n = 6000) and health professionals (n = 12,000). The incidence rates of cases with clinical suspicion, of infection confirmed by PCR, of hospitalizations, of ICU admissions, of assisted ventilation and of mortality will be calculated. Lethality will also be calculated in confirmed cases and in hospitalized patients. The predictor variables to be evaluated are sex, age, chronic diseases, pregnancy, obesity, hypertension, smoking, functional capacity, socioeconomic level, number of cohabitants, minors at home and use of services. Antibody seroprevalence will be assessed in a sample of patients from the sentinel network and / or donors.