Research Themes
At JC School of Public Health and Primary Care, multidisciplinary research brings together diverse perspectives and expertise from around the globe. We provide a creative and supportive environment where scientific innovations are translated into improvements in health policy, prevention and treatment of major infectious and chronic diseases, health services and primary care.
Our researchers are among the top 2% of scientists in the world. We house 10 centres and offer research opportunities in laboratory settings.
- Non-communicable Disease and Ageing
Conduct research in NCD prevention and management, integrative medicine, chronic pain intervention, and health services. The evidence-based findings inform community care programmes and include the development of risk prediction tools, the evaluation of non-pharmaceutical interventions, and the use of emerging technology for NCD control.
- Environmental Health and Infectious Diseases
Research activities in this category focus on environmental and occupational health, infectious disease epidemiology, and public health laboratory sciences. Multidisciplinary research and collaborations are emphasised, fostering knowledge exchange and the development of evidence-based interventions.
- Global Health Policy, Health System & Healthcare Delivery
The research team collaborates with global institutes, advises the World Health Organization (WHO), and conducts research on COVID-19 responses, health system regulation, primary care, post-discharge care, cancer care, private medical services, and person-centred care in Hong Kong. These studies aim to inform policies, improve healthcare services, and address challenges in the health system.
- Mental Well-Being, Social & Health Behavior, Addiction
Design evidence-based interventions to address various health behaviours and mental health issues, employing cross-disciplinary approaches like mindfulness and chatbot-based interventions. The findings offer insights that inform community-based interventions and programmes.
- Bioinformatics, Machine Learning and Big Data
The research team conducts studies using machine learning to investigate key health issues, such as blood pressure variability and cognitive impairment, as well as the role of aspirin in cancer prevention. The team also focuses on viral genome research and the development of bioinformatics methods.