Our research group is committed to advancing population-based oral health research by identifying key factors contributing to oral diseases and developing evidence-based solutions to reduce disease burden. Through rigorous scientific inquiry, we provide insights that guide health policy, promote systemic changes, and improve community well-being.

Focus Areas

1. Epidemiology of Oral Diseases

• Identifying population-level risk factors for periodontitis, dental caries and oral cancer.
• Studying the interplay between microbiological, genetic, environmental, and behavioral factors in oral disease progression.

2. Health Policy and Community Impact

• Translating research findings into actionable policy recommendations.
• Evaluating the effectiveness of public health interventions.
• Partnering with government agencies and private sectors to improve oral health outcomes.

3. Big Data and Advanced Analytics in Oral Health

• Using metagenomic, metabolomic, and whole-genome data for predictive modeling of oral diseases.
• Integrating social, behavioral, and dietary factors for a comprehensive disease assessment.

4. Special Population Studies

• Investigating oral health disparities in women, children, physically and mentally challenged populations.
• Designing targeted interventions for high-risk groups.

5. Oral Health Product Evaluation

• Collaborating with private companies to assess the effectiveness of oral health products.
• Conducting field trials and community behavioral studies to measure real-world impact.

Key Discoveries

• Identification of population-level risk factors for oral diseases
• Evaluation of the effectiveness of various public health policies on oral health outcomes.

Methodology

• Observational Studies: Cross-sectional, case-control, and cohort studies.
• Interventional Research: Field trials, community-based interventions, and behavioral studies.
• Data Collection: Surveys, clinical examinations, microbiome sampling, dietary assessments.

Analytical Techniques

• Statistical Analysis: Regression models, survival analysis, Bayesian modeling.
• Big Data Analytics: Machine learning, AI-driven pattern recognition, multivariate modeling.
• Genomic and Microbiome Analysis: Metagenomic sequencing, functional genomics, biomarker identification.
• Social and Behavioral Analytics: Qualitative research, social network analysis, sentiment analysis.

Expanded Scope

• Interdisciplinary Research: Expanding collaborations with AI and data science experts for predictive modeling.
• Global Health Initiatives: Comparative studies between Latvian and other international populations to understand common and region-specific risk factors.
• Technology Integration: Exploring wearable sensors, mobile health apps, and telemedicine for oral health monitoring.
• Sustainability in Oral Health: Investigating the environmental impact of oral health products and sustainable alternatives.