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- Djamel Toudert.
- Department of Urban and Environmental Studies, El Colegio de la Frontera Norte, Baja California, Mexico.
- Gac Med Mex. 2021 Jan 1; 157 (3): 231-236.
IntroductionThe scarcity of person-centered applications aimed at developing awareness on the risk posed by the COVID-19 pandemic, stimulates the exploration and creation of preventive tools that are accessible to the population.ObjectiveTo develop a predictive model that allows evaluating the risk of mortality in the event of SARS-CoV-2 virus infection.MethodsExploration of public data from 16,000 COVID-19-positive patients to generate an efficient discriminant model, evaluated with a score function and expressed by a self-rated preventive interest questionnaire.ResultsA useful linear function was obtained with a discriminant capacity of 0.845; internal validation with bootstrap and external validation, with 25 % of tested patients showing marginal differences.ConclusionThe predictive model with statistical support, based on 15 accessible questions, can become a structured prevention tool.Copyright: © 2021 Permanyer.
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