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

Author

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  • Wullianallur Raghupathi

    (Gabelli School of Business, Fordham University, New York, NY 10023, USA)

  • Viju Raghupathi

    (Koppelman School of Business, Brooklyn College of the City University of New York, Brooklyn, NY 11210, USA)

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.

Suggested Citation

  • Wullianallur Raghupathi & Viju Raghupathi, 2018. "An Empirical Study of Chronic Diseases in the United States: A Visual Analytics Approach to Public Health," IJERPH, MDPI, vol. 15(3), pages 1-24, March.
    • Handle: RePEc:gam:jijerp:v:15:y:2018:i:3:p:431-:d:134298
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    Cited by:

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    2. Laura E. Wild & McKailey Walters & Alaina Powell & Katherine A. James & Laura Corlin & Tanya L. Alderete, 2022. "County-Level Social Vulnerability Is Positively Associated with Cardiometabolic Disease in Colorado," IJERPH, MDPI, vol. 19(4), pages 1-14, February.
    3. Mohit Goswami & Yash Daultani & Sanjoy Kumar Paul & Saurabh Pratap, 2023. "A framework for the estimation of treatment costs of cardiovascular conditions in the presence of disease transition," Annals of Operations Research, Springer, vol. 328(1), pages 577-616, September.
    4. Michelle Nichols & Ronald Teufel & Sarah Miller & Mohan Madisetti & Christine San Giovanni & Katherine Chike-Harris & Lacy Jones & Margaret Prentice & Kenneth Ruggiero & Teresa Kelechi, 2020. "Managing Asthma and Obesity Related Symptoms (MATADORS): An mHealth Intervention to Facilitate Symptom Self-Management among Youth," IJERPH, MDPI, vol. 17(21), pages 1-15, October.
    5. Luke Connelly & Gianluca Fiorentini & Marica Iommi, 2022. "Supply-side solutions targeting demand-side characteristics: causal effects of a chronic disease management program on adherence and health outcomes," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 23(7), pages 1203-1220, September.
    6. Wullianallur Raghupathi & Viju Raghupathi, 2021. "Contemporary Business Analytics: An Overview," Data, MDPI, vol. 6(8), pages 1-11, August.
    7. Shih-Ying Chien & Ming-Chuen Chuang & I-Ping Chen, 2020. "Why People Do Not Attend Health Screenings: Factors That Influence Willingness to Participate in Health Screenings for Chronic Diseases," IJERPH, MDPI, vol. 17(10), pages 1-13, May.
    8. Daniel Pankowski & Kinga Wytrychiewicz-Pankowska & Ewa Pisula & Andrzej Fal & Bartłomiej Kisiel & Ewa Kamińska & Witold Tłustochowicz, 2022. "Age, Cognitive Factors, and Acceptance of Living with the Disease in Rheumatoid Arthritis: The Short-Term Perspective," IJERPH, MDPI, vol. 19(5), pages 1-17, March.
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    10. Danielle Fastring & Danielle Nadorff & Hilary DeShong, 2021. "The Influence of Rurality on Fruit and Vegetable Intake and BMI: Findings in Mississippi Are Not Consistent with Those at the National Level," IJERPH, MDPI, vol. 18(9), pages 1-13, May.
    11. Ida Lykke Kristiansen & Sophie Yanying Sheng, 2022. "Doctor Who? The Effect of Physician-Patient Match on The SES-Health Gradient," CEBI working paper series 22-05, University of Copenhagen. Department of Economics. The Center for Economic Behavior and Inequality (CEBI).
    12. Beverly, Joshua P. & Neill, Clinton L. & Stewart, Shamar, 2022. "The Dynamics of Labor Force Participation: All Quiet on the Appalachian Front?," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322258, Agricultural and Applied Economics Association.
    13. Xu, Yuanwei & Wang, Feicheng, 2022. "The health consequence of rising housing prices in China," Journal of Economic Behavior & Organization, Elsevier, vol. 200(C), pages 114-137.
    14. Sanyu A. Mojola & Erin Ice & Enid Schatz & Nicole Angotti & Brian Houle & F. Xavier Gómez‐Olivé, 2022. "The Meaning of Health in Rural South Africa: Gender, the Life Course, and the Socioepidemiological Context," Population and Development Review, The Population Council, Inc., vol. 48(4), pages 1061-1095, December.
    15. Tara J. Schapmire & Jill Bell & Mark P. Pfeifer, 2020. "The Improved Health Outcomes Program (iHOP): A Unique Model to Promote Provider-Driven Research in a Medicaid Population," IJERPH, MDPI, vol. 17(14), pages 1-12, July.
    16. Patrick R. Huber & Matthew Baker & Allan D. Hollander & Matthew Lange & Daphne Miller & James F. Quinn & Courtney Riggle & Thomas P. Tomich, 2023. "Linking Biodiversity and Human Wellbeing in Systematic Conservation Assessments of Working Landscapes," Sustainability, MDPI, vol. 15(13), pages 1-18, June.
    17. Maede S. Nouri & Daniel J. Lizotte & Kamran Sedig & Sheikh S. Abdullah, 2021. "VISEMURE: A Visual Analytics System for Making Sense of Multimorbidity Using Electronic Medical Record Data," Data, MDPI, vol. 6(8), pages 1-19, August.

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