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. 2018 Mar 1;15(3):431.
doi: 10.3390/ijerph15030431.

An Empirical Study of Chronic Diseases in the United States: A Visual Analytics Approach

Wullianallur Raghupathi  1 , Viju Raghupathi  2
Affiliations

An Empirical Study of Chronic Diseases in the United States: A Visual Analytics Approach

Wullianallur Raghupathi et al. Int J Environ Res Public Health. .

Abstract

In this research we explore the current state of chronic diseases in the United States, using data from the Centers for Disease Control and Prevention and applying visualization and descriptive analytics techniques. Five main categories of variables are studied, namely chronic disease conditions, behavioral health, mental health, demographics, and overarching conditions. These are analyzed in the context of regions and states within the U.S. to discover possible correlations between variables in several categories. There are widespread variations in the prevalence of diverse chronic diseases, the number of hospitalizations for specific diseases, and the diagnosis and mortality rates for different states. Identifying such correlations is fundamental to developing insights that will help in the creation of targeted management, mitigation, and preventive policies, ultimately minimizing the risks and costs of chronic diseases. As the population ages and individuals suffer from multiple conditions, or comorbidity, it is imperative that the various stakeholders, including the government, non-governmental organizations (NGOs), policy makers, health providers, and society as a whole, address these adverse effects in a timely and efficient manner.

Keywords: behavioral health; chronic disease; comorbidity; overarching condition; population health; preventive health.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Diabetes by state.
Figure 2
Figure 2
Arthritis by state.
Figure 3
Figure 3
Asthma by state.
Figure 4
Figure 4
End-stage renal disease by region.
Figure 5
Figure 5
Chronic obstructive pulmonary disease by state.
Figure 6
Figure 6
Chronic condition by gender.
Figure 7
Figure 7
Chronic conditions by race.
Figure 8
Figure 8
Mental health by gender.
Figure 9
Figure 9
Mental health by race.
Figure 10
Figure 10
Behavioral habits by gender.
Figure 11
Figure 11
Behavioral habits by race.
Figure 12
Figure 12
Preventive health by gender.
Figure 13
Figure 13
Preventive health by race.
Figure 14
Figure 14
Diagnosed diabetes ratio by pneumococcal vaccination ratio. (#: number).
Figure 15
Figure 15
Mortality ratio for asthma and influenza vaccination for asthma.
Figure 16
Figure 16
Binge/heavy drink and poor self-rated health status.
Figure 17
Figure 17
Current smoking prevalence by presence of sufficient sleep among adults.
Figure 18
Figure 18
Obesity by poor self-rated health status.
Figure 19
Figure 19
Smoking by self-rated health status.
Figure 20
Figure 20
Current lack of health insurance by diagnosed diabetes.
Figure 21
Figure 21
Lack of insurance by chronic kidney disease.
Figure 22
Figure 22
Lack of insurance by pulmonary disease.
Figure 23
Figure 23
Asthma by diabetes.
Figure 24
Figure 24
Diabetes by kidney disease.
Figure 25
Figure 25
Diabetes by obstructive pulmonary disease.
Figure 26
Figure 26
Arthritis by asthma.
Figure 27
Figure 27
Arthritis by chronic obstructive pulmonary disease.
See this image and copyright information in PMC

References

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