Public Health: Chronic Diseases Analysis with Visual Analytics

This report analyzes chronic diseases in the United States using visual analytics and descriptive analysis, drawing data from the Centers for Disease Control and Prevention. The study examines chronic diseases, mental health, behavioral health, and demographics. It highlights variations in hospitalization rates, diagnosis procedures, and mortality rates across different states. The research aims to identify correlations and develop intervention strategies to reduce the cost and risk of chronic diseases. The study included adults aged 18 and above, and it concludes that analyzing behavioral factors allows patients to actively manage their illnesses and modify their behavior, supporting a more individualized care model. The report emphasizes the importance of patient self-management and timely medical care based on the research findings.

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An Empirical Study of Chronic Diseases in the United States: A Visual Analytics Approach to
Public Health:
The research is about determining the present state of chronic diseases in the United
States utilizing and evaluating data from the Centers for Disease Control and Prevention and
implementing the techniques of visualization and descriptive analysis (Raghupathi&Raghupathi,
2018).
To successfully conduct the research, five main groups of articles were studied including
chronic disease, mental health, behavioral health, demographics and overarching conditions
(Raghupathi & Raghupathi, 2018).
With the prevalence in the chronic diseases, there is a significant variation noticed in the
rate of hospitalizations for particular diseases, diagnosis procedures and mortality rates for
different states. It was therefore crucial to identify the correlations in to develop intervention
strategies and minimize both the cost and risk of chronic diseases (Raghupathi&Raghupathi,
2018). The sample population included adults who were 18 years of age and above(Raghupathi
& Raghupathi, 2018).
The study has successfully analyzed the incidence of chronic diseases at both the
patient/physician and also at the national state levels. At the patient level, it was concluded that
analyzing the relationship between behavioral factors and chronic conditionsallows the patients
to actively take part in the management of their illness and also modifying or altering their
behavioral health. Therefore, it can be said that the hypothesis of the study was accepted. It has
made possible for the patients who are eager, to integrate information on heath from a range of

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sources. Being knowledgeable allows the patients to facilitate implementing self-management
strategies by self-monitoring and seeking appropriate medical care in a timely manner, thereby,
supporting an ultimate care model which is more individualized (Raghupathi & Raghupathi,
2018).

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References:
Raghupathi, W., &Raghupathi, V. (2018). An empirical study of chronic diseases in the United
States: a visual analytics approach to public health. International journal of
environmental research and public health, 15(3), 431.