Evolution of COVID-19 patients in Mexico city using markov chains

Ricardo C. Villarreal-Calva; Ponciano J. Escamilla-Ambrosio; Abraham Rodríguez-Mota; Juan M. Ramírez-Cortés

doi:10.1007/978-3-030-62554-2_23

Evolution of COVID-19 patients in Mexico city using markov chains

Ricardo C. Villarreal-Calva, Ponciano J. Escamilla-Ambrosio, Abraham Rodríguez-Mota, Juan M. Ramírez-Cortés

Centro de Investigación en Computación (CIC)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

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.

Original language	English
Title of host publication	Telematics and Computing - 9th International Congress, WITCOM 2020, Proceedings
Editors	Miguel Félix Mata-Rivera, Roberto Zagal-Flores, Cristian Barria-Huidobro
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	309-318
Number of pages	10
ISBN (Print)	9783030625535
DOIs	https://doi.org/10.1007/978-3-030-62554-2_23
State	Published - 2020
Event	9th International Congress on Telematics and Computing, WITCOM 2020 - Puerto Vallarta, Mexico Duration: 2 Nov 2020 → 6 Nov 2020

Publication series

Name	Communications in Computer and Information Science
Volume	1280
ISSN (Print)	1865-0929
ISSN (Electronic)	1865-0937

Conference

Conference	9th International Congress on Telematics and Computing, WITCOM 2020
Country/Territory	Mexico
City	Puerto Vallarta
Period	2/11/20 → 6/11/20

Keywords

Bayesian inference
COVID-19
Disease model
Markov process

Access to Document

10.1007/978-3-030-62554-2_23

Cite this

Villarreal-Calva, R. C., Escamilla-Ambrosio, P. J., Rodríguez-Mota, A., & Ramírez-Cortés, J. M. (2020). Evolution of COVID-19 patients in Mexico city using markov chains. In M. F. Mata-Rivera, R. Zagal-Flores, & C. Barria-Huidobro (Eds.), Telematics and Computing - 9th International Congress, WITCOM 2020, Proceedings (pp. 309-318). (Communications in Computer and Information Science; Vol. 1280). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-62554-2_23

Villarreal-Calva, Ricardo C. ; Escamilla-Ambrosio, Ponciano J. ; Rodríguez-Mota, Abraham et al. / Evolution of COVID-19 patients in Mexico city using markov chains. Telematics and Computing - 9th International Congress, WITCOM 2020, Proceedings. editor / Miguel Félix Mata-Rivera ; Roberto Zagal-Flores ; Cristian Barria-Huidobro. Springer Science and Business Media Deutschland GmbH, 2020. pp. 309-318 (Communications in Computer and Information Science).

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Villarreal-Calva, RC, Escamilla-Ambrosio, PJ , Rodríguez-Mota, A & Ramírez-Cortés, JM 2020, Evolution of COVID-19 patients in Mexico city using markov chains. in MF Mata-Rivera, R Zagal-Flores & C Barria-Huidobro (eds), Telematics and Computing - 9th International Congress, WITCOM 2020, Proceedings. Communications in Computer and Information Science, vol. 1280, Springer Science and Business Media Deutschland GmbH, pp. 309-318, 9th International Congress on Telematics and Computing, WITCOM 2020, Puerto Vallarta, Mexico, 2/11/20. https://doi.org/10.1007/978-3-030-62554-2_23

Evolution of COVID-19 patients in Mexico city using markov chains. / Villarreal-Calva, Ricardo C.; Escamilla-Ambrosio, Ponciano J.; Rodríguez-Mota, Abraham et al.
Telematics and Computing - 9th International Congress, WITCOM 2020, Proceedings. ed. / Miguel Félix Mata-Rivera; Roberto Zagal-Flores; Cristian Barria-Huidobro. Springer Science and Business Media Deutschland GmbH, 2020. p. 309-318 (Communications in Computer and Information Science; Vol. 1280).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Ramírez-Cortés, Juan M.

PY - 2020

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AB - 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.

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Villarreal-Calva RC, Escamilla-Ambrosio PJ , Rodríguez-Mota A, Ramírez-Cortés JM. Evolution of COVID-19 patients in Mexico city using markov chains. In Mata-Rivera MF, Zagal-Flores R, Barria-Huidobro C, editors, Telematics and Computing - 9th International Congress, WITCOM 2020, Proceedings. Springer Science and Business Media Deutschland GmbH. 2020. p. 309-318. (Communications in Computer and Information Science). doi: 10.1007/978-3-030-62554-2_23

Evolution of COVID-19 patients in Mexico city using markov chains

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Keywords

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