Prediction of Next Global Pandemic Through Non-Commutative Algebra

Nieto-Chaupis H. · Proceedings - 2024 28th ACIS International Winter Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD-Winter 2024 (2024) · DOI: 10.1109/snpd-winter67015.2024.00016

Resumen

As seen in global data of Covid-19 that has exhibited a peaked morphology it would suggest a kind of nonlinear behavior as to the number of infections per unit of time. For example, the apparition of Omicron when was running massive vaccination programs, could also be observed at the beginning of pandemic. Such fact makes to wonder if such behavior can harnessed to make predictions. Because of this, in this paper it is developed a theory guided by observed data, by which it is hypothesized that pandemic could be being dictated by a type of non-commutative algebra. Under the assumption that such algebra fits well data of Covid-19, the it is used to make predictions on next global pandemic within the expected statistical errors.

Instituciones: Universidad Autónoma del Perú