WHY NEW COURSE(S)?

While microbial threats are not new, they have continued to pose new challenges to human populations. Stanley Ho Centre for Emerging Infectious Diseases (CEID) is committed building technical capacity in the control of impending microbial threats. CEID is launching a new series of 5 compact courses, each of which lasting for 1 or 1½ days , with a focus of updating on knowledge of selected infections, and supporting the effective analyses of infection data. The aim of running these courses is not to train experts, but to ensure that health workers, including doctors and nurses, are technically ‘prepared’. While it may not be possible to predict what is going to happen next year, one should be comfortable with how to respond to new threats, and what to focus on when their expertise is called upon.

 

WHAT WOULD BE COVERED?

There are a total of 5 courses to cover conditions that are about to be forgotten (TB, parasites) and technical skills that we often neglect (GIS, time series, bioinformatics). These courses are (see details for each course) listed overleaf.  

 

HOW WOULD THE COURSES BE CONDUCTED?

These Compact Courses are all taught by CEID staff or collaborators, who are familiar with the needs of the primary audience. We would like these courses to be as practical as possible. The medium of instruction of the courses is English. Chinese may be used as necessary when addressing local issues in small groups. Don’t worry if you don’t speak Cantonese, you won’t miss out.

 

WHO SHOULD ATTEND?

As practical courses, they are meant for people in the health services or health research fields. For TB we assume that people taking the course has involved in study of the epidemiology of tuberculosis, alongside its prevention and control. For the parasite course, participants should have basic understanding of laboratory diagnosis. For bioinformatics, those joining must know basic virology. Knowledge of bioinformatics is not essential. For GIS and time series study, they are meant for people without previous experience or knowledge of the methods, but should preferably have been involved in epidemiology, surveillance or analysis in health service studies.