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Using Probability Distributions in Parameters of Variables at Agent-Based Simulations: A Case Study for the TB Bacillus Growth Curve
Abstract
Even treatable and preventable with medication, tuberculosis (TB) continues to infect and cause deaths globally, especially in the poorest countries and in most vulnerable parts of the rich countries. Given this situation, the study of the growth curve of Mycobacterium tuberculosis, which causes tuberculosis, can be a strong ally against TB. This study models the growth curve of Mycobacterium tuberculosis using simulation based agents, aiming to simulate the curve with the minimum possible error when compared to in vitro results. To implement this model, the agents represent the bacteria in their habitat and how they interact with each other and the environment. Some parameters of the agents are modelled with probability distributions.
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