Clinical Epidemiology Department

The Department of Clinical Epidemiology (DCE) is committed to excellence in surveillance, prevention and control, and research of hospital-associated infections and infectious diseases of public health importance.

Our services include:

  • Outbreak investigation & response
  • Disease surveillance and epidemic intelligence, including:
    • Emerging Infectious Disease surveillance
    • Multi-Drug Resistant Organism (MDRO) surveillance
    • Staff Sick Absenteeism surveillance
  • Database design and development
  • Data management and analysis
  • Development and evaluation of vaccine programmes as well as infection prevention and control interventions
  • Conduct of clinical and epidemiological research to inform clinical decisions, policy and programme formulation, and improve patient care
  • Conduct of training programmes and workshops on epidemiology, biostatistics, and data management

Epidemiology is the branch of medicine that deals with the incidence, distribution, and determinants of diseases and other factors relating to health in populations. Our trained epidemiologists provide advice on study design and epidemiological approaches to addressing clinical questions and apply evidence to guide clinical decision-making and management. We have particularly strong expertise in infectious disease outbreak-related studies and hospital epidemiology. We welcome collaborators to leverage on our experience running case-control studies, longitudinal cohort studies, and clinical trials.

Our areas of surveillance includes staff medical leave, influenza, dengue and emerging infections.

Our team works closely with infection control unit to monitor, detect, and respond to infectious disease outbreaks within the hospital.  Our expertise is in epidemiological investigations, contact tracing, and outbreak management.

Biostatistics is the ‘marriage’ of biology and statistics, which allows researchers to draw inference from data collected from their research. Biostatistics can be integrated into modern medical research at every stage. Our team supports researchers in statistical analysis and  collaborates with them to draw meaningful results from their research

Data science is the practice of drawing insights from data generated from conventional (experiments and observational studies) and unconventional sources (internet, social media and smart devices). It offers meaningful interpretations to unstructured data which are usually large in dimensions. With emphasis on evidential utilisation, data science opens the gate to further refined analysis and data explorations not adequately serviced by established quantitative techniques.

Our team provides consultation to collaborators who are engaged in clinical and health services research. We can assist in the entire spectrum of activities that lead to grant application and publication. These include systematic literature review,  hypothesis formulation, sample size determination, data analysis with advanced statistical and machine learning techniques, presentation and communication of findings based on the best available medical evidence. We have experience in using R, WinBUGS, IBM SPSS (Statistics and Modeler) and Stata in analysis.  Published widely in all major biomedical disciplines, our team members have held research grants awarded by NMRC (Singapore), NHMRC (Australia) and ministries and statutory boards of the Singapore Government.

We provide solutions and consultations for data management related matters from the beginning to the end, from requirement gathering and initialisation, to design, implementation and post implementation support. Capitalizing on our expertise and harnessing innovative technologies, we have replaced conventional data collection methods with novel technologies to enhance data accuracy, consistency, and concurrency.

The primary objective for our research activities is ‘research with direct clinical and public health relevance for infectious diseases and responding quickly to emerging infections’. Efforts in infectious disease research must have direct and local relevance in protecting the public’s health. This includes local infectious disease epidemiology and transmission, and clinical features, diagnosis and management.

Our team provides training in frontline infectious disease outbreak control and management, ranging from establishing and managing surveillance systems to detect outbreaks to contact tracing and public health interventions.  We have experts in epidemiology, public health, data management and data analysis, who can provide teaching in  epidemiology and surveillance, study designs, critical appraisal of evidence, statistical analysis, and design and development of  databases. 

Our Areas of Expertise

We have a strong team of epidemiologists, biostatisticians, data analysts, and surveillance coordinators who can:

  • Develop surveillance systems to monitor infectious disease situation in hospitals
  • Effectively conduct epidemiological investigations into potential infectious disease outbreaks
  • Conceptualise, design, and implement epidemiological research studies
  • Perform data linkages and integration across databases, and manage large and longitudinal datasets
  • Perform biostatistical analyses for a wide range of research and working studies
  • Build and serve as trusted custodian for research and working data repositories
  • Act as central liaison for epidemiological surveillance and reporting

Local and International Collaboration

Department of Clinical Epidemiology collaborates with partners in a broad range of research, education, and clinical quality improvement projects. Our current partners include Nanyang Technological University, National University of Singapore, the Agency for Science, Technology and Research, Chinese University of Hong Kong, La Trobe University, Glasgow Caledonian University, and University of California Los Angeles. We actively seek collaborations in areas of strength and mutual interest from both local and international partners. Interested parties may reach us at TTSH_DCE@ttsh.com.sg.

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