Evolution of COVID-19 Patients in Mexico City Using Markov Chains
作者： Ricardo C Villarreal-Calva , Ponciano J Escamilla-Ambrosio , Abraham Rodríguez-Mota , Juan M Ramírez-Cortés , None
DOI: 10.1007/978-3-030-62554-2_23
关键词:
摘要: In this work a Markov process model has been conceived using public data from patients that have experienced symptoms associated with the COVID-19 disease. The published by health system of Mexico City was used to fit seven different states. probabilities death or recovery at every state are calculated understand severity novel disease compared other respiratory diseases. provides information asses risk staying hospital in for illnesses either positive negative SARS-COV-2 virus.
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