International Journal of Clinical and Biomedical Sciences
Review Article
• Open Access
Public Health Informatics and Epidemiology: Emerging Trends in Healthcare Innovation
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The convergence of public health informatics, epidemiological methods, and multidisciplinary clinical research is transforming the landscape of population health management and healthcare delivery. This paper presents an integrated analysis of recent research trends in public health and epidemiology informatics, synthesizing findings from the International Medical Informatics Association (IMIA) Yearbook selections spanning 2020-2021 and a comprehensive editorial review of dental and craniofacial research published in August 2025. The analysis reveals three interconnected themes shaping contemporary public health practice: (1) the evolution of data-driven surveillance systems leveraging artificial intelligence, machine learning, and real-time data sources to detect and monitor disease activity; (2) the integration of basic science, clinical research, and population health approaches to address complex health challenges; and (3) the persistent challenges of translating technological innovations into equitable, accessible, and ethically sound public health interventions. Key findings include the successful application of deep learning to satellite imagery for identifying remote communities in low-income countries, the development of near real-time global infectious disease surveillance systems using natural language processing, the use of electronic health records and deep learning for early warning systems identifying patients at risk of suicide, and the demonstration of community acceptance of technologically enhanced surveillance systems when accompanied by robust governance frameworks. In the dental domain, studies demonstrate the immunomodulatory and antibacterial properties of natural compounds, the effectiveness of non-surgical periodontal therapy in improving glycemic control in diabetic patients, and the comparable effectiveness of art therapy and animated audiovisual methods in improving children's oral health knowledge. This paper argues that the future of public health lies at the intersection of data science, clinical innovation, and community engagement, requiring multidisciplinary collaboration and sustained commitment to equity, privacy, and patient-centeredness.
Keywords
public health informatics, epidemiology, artificial intelligence, disease surveillance, data science, dental public health, health equityReferences
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