Advancements in Cardiovascular Epidemiology: Integrating Predictive Modeling into Public Health
A special issue of Life (ISSN 2075-1729). This special issue belongs to the section "Epidemiology".
Deadline for manuscript submissions: 29 September 2025 | Viewed by 2762
Special Issue Editors
2. Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, Kallithea, Athens, Greece
3. Faculty of Health, University of Canberra, Canberra, Australia
Interests: CVD epidemiology; predictive modeling; public health interventions
2. Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, Kallithea, Athens, Greece
3. Faculty of Health, University of Canberra, Canberra, Australia
Interests: CVD epidemiology; nutrition; public health
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Cardiovascular diseases remain a leading cause of morbidity and mortality worldwide, prompting an urgent need for innovative research and effective public health strategies to mitigate their impact. This Special Issue aims to feature interdisciplinary studies encompassing epidemiological investigations, novel risk factor identification, innovative predictive modeling techniques and evidence-based public health interventions targeting CVD and related cardiometabolic conditions. Contributions may include, but are not limited to, population-based studies elucidating CVD trends and patterns, investigations into the role of lifestyle factors and genetics in CVD risk, predictive modeling approaches for early detection and intervention, and assessments of the effectiveness of public health policies and interventions in reducing CVD burden. By synthesizing diverse perspectives and methodologies, this Special Issue aims to provide valuable insights for researchers, clinicians, policymakers and public health practitioners, striving to address the complex challenges posed by CVD and cardiometabolic diseases.
Dr. Thomas Tsiampalis
Dr. Matina Kouvari
Guest Editors
Manuscript Submission Information
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Keywords
- CVD epidemiology
- public health interventions
- predictive modeling
- risk stratification
- cardiometabolic risk factors
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