Global Pandemics Dictated by Noncommutative Algebra

Abstract

The apparition of a global pandemic commonly seen as a random, is unpredictable in both geographic location as well as time. For example, Monkeypox disease 2022 could have emerged rather before than Corona virus disease 2019 (Covid-19), so that not any sequence leading to a rule might be established. Similar reasoning can be applied to the morphological characteristics of Covid-19 statistics.Along the period 2020–2023, Covid-19 pandemic exhibited various waves and up to two large peaks. This paper explores the relation between the apparition of these peaks and a kind of algebra by which pandemic might be mathematically correlated to it. When model is applied to data, it is found that exists there a kind of correspondence at the sense that apparition of peaks are dictated by noncommutative operators that act onto data