Using a dynamic approach to modeling disease allows for a vast amount of advantages when addressing public health problems. Many results of mapping and modeling a progressive disease demonstrate epidemiological aspects that can be useful in discovering why the disease came to be and how it could be treated. Additionally, models can demonstrate the efficacy of routine screening and other forms of preventative care for those who are more at risk of certain diseases and conditions. Identifying important forms of upstream prevention can drastically reduce the spread and severity of disease. Modeling can also be useful in discerning the relationships between multiple interacting diseases, shedding light on feedback loops that amplify symptoms and chronic conditions. Disease modeling can also be used on a single patient level, where certain input signs and symptoms can lead to an output that would not have been reached by traditional means. Overall, the benefits of using simulation dynamics for modeling disease are immense, and can steer public health officials and medical practitioners to a sound and logical answer to questions that seem to have none.
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