Una aproximación estadística al comportamiento de brote de COVID-19 en la China continental

Héctor Daniel Molina-Ruiz; Mónica García-Munguía; Ma. de Lourdes Elena García-Vargas; Javier Carreón-Guillén; Cruz García-Lirios

doi:10.29057/estr.v7i14.5506

Autores/as

Héctor Daniel Molina-Ruiz Universidad Autónoma del Estado de Hidalgo https://orcid.org/0000-0003-4657-3237
Mónica García-Munguía Universidad Autónoma del Estado de Hidalgo https://orcid.org/0000-0002-0507-3933
Ma. de Lourdes Elena García-Vargas Universidad Autónoma del Estado de Hidalgo https://orcid.org/0000-0002-1724-4744
Javier Carreón-Guillén Universidad Nacional Autónoma de México https://orcid.org/0000-0002-8915-0958
Cruz García-Lirios Universidad Autónoma del Estado de México https://orcid.org/0000-0002-9364-6796

DOI:

https://doi.org/10.29057/estr.v7i14.5506

Palabras clave:

Brote, Coronacirus, COVID-19, Trazadores cúbicos

Resumen

El brote temprano de COVID-19 ha creado un escenario complejo para la salud de la población mundial. Los gobiernos del mundo están preocupados por el escenario epidémico actual; particularmente en China continental, donde el brote se ha tomado escalas de contagio mayores. La presente propuesta explora la herramienta de estadística de trazadores cúbicos, que proporcionan la pauta para realizar el pronóstico del comportamiento correspondiente al brote de COVID-19, utilizando cuatro posibles ajustes: escala natural, logaritmo de base 2, logaritmo base 10 y logaritmo natural, con el objetivo de generar información que pueda ayudar para entender el escenario que guarda brote.

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