Autores
Villarreal Calva Ricardo Carlos
Escamilla Ambrosio Ponciano Jorge
Rodríguez Mota Abraham
Título Evolution of COVID-19 patients in Mexico city using markov chains
Tipo Congreso
Sub-tipo Memoria
Descripción 9th International Congress on Telematics and Computing, WITCOM 2020
Resumen 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 data published by the health system of Mexico City was used to fit the model with seven different states. The probabilities of death or recovery at every state are calculated to understand the severity of the novel disease compared to other respiratory diseases. The model provides information to asses the risk of staying at a hospital in Mexico City for patients with respiratory illnesses either positive or negative to SARS-COV-2 virus. © 2020, Springer Nature Switzerland AG.
Observaciones DOI 10.1007/978-3-030-62554-2_23 Communications in Computer and Information Science v. 1280
Lugar Puerto Vallarta
País Mexico
No. de páginas 309-318
Vol. / Cap.
Inicio 2020-11-02
Fin
ISBN/ISSN 9783030625535