“…We herein focus on phenomenological growth models (PGMs) that only require a small number of parameters are commonly used to describe epidemic growth patterns, and which can be expressed by an ordinary differential equation (ODE) of the type where is time, is the total size of the epidemic (the cumulative number of cases) at time , is the initial number of cases, is an incidence function that is specific to each PGM under study, and is a vector of parameters. Such models have been used to study the epidemics of influenza [16] , [17] , [18] , Ebola [19] , [20] , [21] , [22] , Zika [23] , [24] , [25] , Chikungunya [26] , and others of global interest. The current COVID-19 pandemic is a scenario for which such models are of obvious importance [27] , [28] , [29] , [30] , [31] , [32] , [33] , [34] .…”