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Cardiovascular Health Model

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ASSESSING LIFESTYLE INTERVENTIONS TO IMPROVE CARDIOVASCULAR HEALTH USING AN AGENT-BASED MODEL ABSTRACT Cardiovascular disease (CVD) is the main reason for death in the United States (US) and spots a substantial monetary weight on the health care system. Perceiving the significance of CVD prevention, in recent years the American Heart Association (AHA) started to underline the need to expand consciousness of key risk elements of CVD and proposed another idea called ideal cardiovascular health. Taking into account this idea, we developed agent-based model that is intended to capture individual health progression and study new CVD-related population health results (diabetes, myocardial dead tissue, stroke and death) over a specified time period. …show more content…

2012). In this study, we develop an agent based model (ABM) based on the ideal cardiovascular health concept. Specifically, our model can produce a user specified population, catch the flow of every individual's health practices and elements, and report an arrangement of health results and mortality over a period skyline of interest. ABM is a base up modeling approach that has been connected to comprehend real- world frameworks in which the representation of practices of people is imperative and population interaction exists (Rahmandad and Sterman 2008; Siebers et al. 2010). By utilizing basic guidelines of behavior and action, ABM can be utilized to model social and health frameworks in a natural way that is speaking to policymakers (MacaI and North 2010). Despite the fact that ABM is still a moderately new displaying methodology, it has been connected to take care of complex issues in a few distinct trains, for example, financial matters, other sociologies and human services operations administration (Barnes, Golden, and Price 2013; Bruch and Atwell 2013; Fagiolo, Moneta, and Windrum 2007). An orderly writing audit in 2006 identified 42 CVD approach models and examined their …show more content…

When a man has a background marked by MI or stroke, he/she will have a higher danger of passing on because of CVD. Despite the fact that it is conceivable that a man has a past filled with both MI and stroke, we don't consider this situation in our model since it is vague how having a background marked by both diseases would change the death rate taking into account the distributed studies. In our model, "death" could be because of CVD or different reasons. The overall age and gender specific mortality rates for the general US population are acquired from the US key measurements information (Heron et al. 2009). The move probabilities from "history of MI" or "history of stroke" to "death" (i.e., mortality because of CVD) are ascertained taking into account the Framingham Risk Calculator (Anderson et al. 1991). The move probabilities from "no CVD history" to "death" (i.e., mortality because of different reasons) are then ascertained by subtracting the death rates because of CVD from the general death rates. Note that "death" is a retaining state and individuals in the "death" state are expelled from the

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