Abstract
AbstractBackgroundAlzheimer disease demands salutation and envisioning the cause for the disease. Despite the evolving scientific discoveries, the inhabitation among the global population reminds hiking alarmingly. The track of ways the spread of disease should leave a hint for the further research on the origin of the disease.MethodThis is a speculation much closure to current environment, to analyze effect and the pace of spread over a community. Penna model of biological aging [1] and model of colonization (lattice model) [2] are primitive base. For the model both inherited and non‐ inherited Alzheimer disease is taken into account and is obtruded into the lattice simulated on external factors such as age, genome, genetic mutation, mating partner, offspring and visualizing the change in population, symptoms and progress of the disease.ResultOutcome helps in providing an introductory knowledge on the impact Alzheimer creates in the society. It shows the growth on the level of symptoms in the population, the influence of the inheritance on the population and their progress during the course of time. The symptom to analyze the level of disease at respective age of the individual is monitored. The executions for variations in the input arguments are studied to determine the effect of disease from different perspectives.ConclusionThe Preliminary results show reasonable changes on the level of symptoms for the inherited Alzheimer’s disease. The results shell out some introductory ideas about growth of the level of symptoms of AD in the population during the course of the disease increasing number of offspring and number of mating will give a greater view of the consequences in the model and is predictable for the current scenario.1. Stauffer, D. (2007). The Penna model of biological aging. Bioinformatics and Biology Insights, 1, 117793220700100005.2. Mroz, I., &Pękalski, A. (1999). Model of populations colonizing a new habitat. The European Physical Journal B‐Condensed Matter and Complex Systems, 10(1), 181‐186.
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