EBMCR Research Divisions

Our multidisciplinary teams integrate clinical, epidemiological, and computational approaches to generate high-quality evidence, guide policy, and improve health outcomes. We address critical health challenges by combining experimental studies, population-based investigations, evidence synthesis, and predictive modeling. Through these integrated efforts, we aim to strengthen decision-making across healthcare systems, support sustainable interventions, and enhance the well-being of populations worldwide.

To achieve these goals, EBMCR is organized into four research divisions:

Clinical Research Division

We conduct rigorous clinical investigations to generate high-quality evidence for patient care. Our focus includes:

Design and implementation of randomized controlled trials (RCTs) and interventional studies for therapies, devices, and vaccines.
Evaluation of treatment effectiveness, safety, and implementation in real-world settings.
Development of clinical decision support tools to optimize health outcomes.
Translational research bridging laboratory findings to clinical applications (bench-to-bedside).

Epidemiological Research Division

We advance population health knowledge through comprehensive epidemiological research using both quantitative and mixed-methods approaches. Our work includes:

Observational cohort, case-control, and cross-sectional studies to investigate disease determinants and outcomes.
Population-based surveillance and monitoring of emerging health threats.
Development and validation of predictive and risk assessment models for disease burden and prognosis.
Analysis of social, behavioral, and environmental factors to inform public health policy.
Integration of qualitative and quantitative data for comprehensive population health insights.

Evidence Synthesis Division

We conduct narrative and quantitative evidence synthesis and disseminate advanced systematic review and meta-analysis methodologies, including:

Network meta-analysis for synthesizing randomized controlled trials (RCTs) and/or observational studies, including therapy, prognosis, and safety of drugs, devices, and vaccines.
Synthesis of prediction models for cause-specific or prognostic markers.
Synthesis of qualitative studies, especially for the evaluation of complex health system-level interventions.
Synthesis of observational studies, including prognosis and diagnosis methods.

Infectious Disease Modeling Division

We apply mathematical and computational models to understand infectious disease dynamics and guide public health interventions. Our focus includes:

Transmission modeling of infectious diseases, including outbreak prediction and scenario analysis.
Evaluation of intervention strategies, including vaccination, treatment, and non-pharmaceutical measures.
Integration of epidemiologic, clinical, and population data to inform policy decisions.
Development of novel modeling frameworks for emerging pathogens and antimicrobial resistance.

Areas of Expertise

EBMCR addresses a broad spectrum of global health and clinical priorities through rigorous research, methodological innovation, and collaborative partnerships. Our areas of expertise encompass the following main domains:

1. Population and Life-Course Health