PREDICTIVE ALGORITHM ANALYSIS FOR OPTIMAL PREVENTIONS IN TIME OF CORONAVIRUS (COVID-19) DURING QUARANTINE DAYS

Authors

  • J. Alan Calderón Ch Applied Biophysics, Institute for Physics, Technical University of Ilmeanu , Ilmenau 98693, Germany Pontificia Universidad Católica del Perú, Mechatronic Master Program and Energy Laboratory, Lima 32, Peru
  • Julio Tafur Sotelo Pontificia Universidad Católica del Perú, Mechatronic Master Program and Energy Laboratory, Lima 32, Peru.
  • Benjamin Barriga Gamarra Pontificia Universidad Católica del Perú, Mechatronic Master Program and Energy Laboratory, Lima 32, Peru.
  • Julio Guevara Guevara Pontificia Universidad Católica del Perú, Mechatronic Master Program and Energy Laboratory, Lima 32, Peru Department of Protocol and Investigation National Hospital Guillermo Almenara, Perú.
  • John Lozano Jauregui Pontificia Universidad Católica del Perú, Mechatronic Master Program and Energy Laboratory, Lima 32, Peru Northern (Artic) Federal University named after MV Lomonosov, Arkhangelsk Russia.
  • Juan Lengua Arteaga Pontificia Universidad Católica del Perú, Mechatronic Master Program and Energy Laboratory, Lima 32, Peru
  • Gonzalo Solano Pontificia Universidad Católica del Perú, Mechatronic Master Program and Energy Laboratory, Lima 32, Peru

DOI:

https://doi.org/10.24039/rtb2021191878

Keywords:

COVID-19 propagation, statistical data, Mathematical modeling

Abstract

This research explains the applications of the algorithm that was designed to provide statistical support for medical doctors. The support that was achieved from this research looks for an urgent interpretation of parameters such as the rate of infected people by COVID-19 and the rate of deceased people because of this virus. Furthermore, this research achieves prediction rates that were provided by a mathematical model that observes and adapts real statistical data from other countries, where governments are trying to find solutions against of COVID-19 propagation. It means, in order to get accuracy in prediction results, it was necessary to analyse what was the statistical behaviour from China and other countries that returned to normal activities as it was before virus imposed to confine population inside homes. On the other hand, it is summarized the virus problematic growth and some suggestions, how to avoid deep complications in health and economy of people (for instance, quarantine days as the main response to attenuate advance of this virus).

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Published

2021-01-05

How to Cite

Calderón Ch, J. A., Tafur Sotelo, J., Barriga Gamarra, B., Guevara Guevara, J., Lozano Jauregui, J., Lengua Arteaga, J., & Solano, G. (2021). PREDICTIVE ALGORITHM ANALYSIS FOR OPTIMAL PREVENTIONS IN TIME OF CORONAVIRUS (COVID-19) DURING QUARANTINE DAYS. The Biologist, 19(1), 29–39. https://doi.org/10.24039/rtb2021191878

Issue

Section

Original Articles