The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.
An Empirical Study of Chronic Diseases in the United States: A Visual Analytics Approach to Public Health
Open accessAbstract
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.
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Citations
Cites
Improving Primary Care for Patients With Chronic Illness
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Multiple Chronic Conditions in the United States
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The Growing Burden of Chronic Disease in America
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Cited by
Thakur, B., Dubey, P., Benitez, J., Torres, J. P., Reddy, S., Shokar, N., Aung, K., Mukherjee, D., & Dwivedi, A. K. (2021) · Scientific Reports · doi:10.1038/s41598-021-88130-w · Cited by 284
Mobile Health in Remote Patient Monitoring for Chronic Diseases: Principles, Trends, and Challenges
El-Rashidy, N., El-Sappagh, S., Islam, S., M. El-Bakry, H., & Abdelrazek, S. (2021) · Diagnostics · doi:10.3390/diagnostics11040607 · Cited by 258
Review of Current Healthcare Waste Management Methods and Their Effect on Global Health
Kenny, C., & Priyadarshini, A. (2021) · Healthcare · doi:10.3390/healthcare9030284 · Cited by 238
Using telehealth to remediate rural mental health and healthcare disparities
Myers, C. R. (2019) · Issues in Mental Health Nursing · doi:10.1080/01612840.2018.1499157 · Cited by 159
Organ-specific toxicity of magnetic iron oxide-based nanoparticles
Chrishtop, V. V., Mironov, V. A., Prilepskii, A. Y., Nikonorova, V. G., & Vinogradov, V. V. (2021) · Nanotoxicology · doi:10.1080/17435390.2020.1842934 · Cited by 86
Metadata
- Authors
- Raghupathi, W., & Raghupathi, V.
- Venue
- International Journal of Environmental Research and Public Health
- Publisher
- MDPI AG
- Published
- 2018-03-01
- Volume
- 15
- Issue
- 3
- Pages
- 431
- ISSN
- 1660-4601 (ISSN-L)
- OpenAlex
- W2790993440
- Cited by
- 531
- References
- 22
- FWCI
- 27.91
- Type
- journal article
- Language
- en
- Open access
- gold
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- 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. https://doi.org/10.3390/ijerph15030431
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
