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:
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).
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.
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.
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.
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:
Since 2025, EBMCR is implementing the multi-year “Neonatal Infectious Diseases” Research Project at Rajshahi Medical College Hospital (RMCH), Bangladesh. The project aims to establish a birth cohort study for assessing burdens of neonatal infectious diseases and examine how prenatal smoking affects the health of newborns and infants, particularly their risk of developing infectious diseases during the neonatal period and beyond. The cohort will be further followed up to assess long-term health consequence among newborns exposed to prenatal smoking.
Collaborators: Professor Dr Md Rafiqul Islam (University of Rajshahi) and Associate Professor Dr Md Rejaul Karim (Rajshahi Medical College Hospital)
The "Digital Health Integrated Tuberculosis Control Project", implemented by EBMCR since 2026, is a multi-country research initiatives focused on strengthening tuberculosis prevention and control, with particular attention to multidrug-resistant tuberculosis (MDR-TB), in three high-burden countries.
In Bangladesh, EBMCR is currently developing and assessing the appropriateness and feasibility of key components of and integrated digital health approach to tuberculosis control. This work aims to evaluate how digital health interventions can be adapted to local healthcare setting and incorporated into existing tuberculosis prevention and care services.
Through context-sensitive research and implementation-focused evaluation, the project seeks to generate evidence to guide the development of feasible, appropriate, and scalable digital health strategies for strengthening tuberculosis control.
We conducted a systematic review and meta-analysis to assess the role of digital health to address the antimicrobial resistance in low- and middle-income countries. The report is now being finalized. The summary of findings will be available in our website soon.
No announcement available now.