Monte Carlos Simulation Approach to Population Dynamics of Sickle Cell Anaemia

Abstract

Sickle Cell Anaemia (SCA) is a serious inherited blood disorder where the red blood cells, which carry oxygen around the body develop abnormally. The mathematical dynamics of the disease remain poorly understood, as such this paper investigates the mathematical inheritance pattern of the disease by the application of Monte Carlos simulation technique which is a complementary approach to physical simulation Smith's statistical package was used as random number generator in which the simulated birth from different mating indicates that SS has an average of 2.4% neonates, AS has 29.9% and AA has 67.7%. We thus, conclude that eradication of SCA is not visible. However, curative measure of SCA remains paramount.

Simulated datasets for population dynamics of sickle cell anaemia

“…The method used in the data analysis of the different genotypic groups viz: AA, AS, SS is MCS whose detailed steps and procedures are contained in [1] .…”

“… The datasets used in this work are Sickle Cell Anaemia simulated data described in detail in [1] . This include the information contained in the Supplementary file .…”

Continuous-time model and physical simulation of population dynamics of sickle cell anaemia

“…1 for analysis. Table 2 for data analysis purposes Also, Reader(s) are referred to NHLBI (2015) and Akanbi et al, (2016) for detail of Blood-sample of normal RBC, and Blood-sample of sickled RBC while Table 1 for Fig. 1. …”