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Logistic Model to Predict the Contagion of Covid-19 in Mexico

Author

Listed:
  • Juan Bacilio Guerrero Escamilla
  • Sócrates López Pérez
  • Sonia Bass Zavala

Abstract

The objective of this work is to predict the risk of contracting Covid - 19 in the Mexican population, by means of the construction of a multilogistical model, based on the Ministry of Health applied to patients who presented with the symptoms that encompass the disease. With this probabilistic model, it was possible to estimate the degree of contracting Covid -19, taking as a reference the health conditions of the patients, and with it, medically influence to counteract the disease.

Suggested Citation

  • Juan Bacilio Guerrero Escamilla & Sócrates López Pérez & Sonia Bass Zavala, 2020. "Logistic Model to Predict the Contagion of Covid-19 in Mexico," International Journal of Statistics and Probability, Canadian Center of Science and Education, vol. 9(5), pages 1-49, September.
  • Handle: RePEc:ibn:ijspjl:v:9:y:2020:i:5:p:49
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    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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