| WEEK 1 Define problem |
| DAY 1 | Field epidemiology and public health practice | Epidemiological surveillance and rapid response |
| DAY 2 | Ecology of infection (Brachman) | Experience shared by WHO (IHR, epidemic preparedness) |
| DAY 3 | Descriptive epidemiological study | GIS and descriptive epidemiology |
| DAY 4 | Quantitative measures in epidemiology | Data presentation or Qualitative data collection? |
| DAY5 | Descriptive statistics | Using powerpoint for scientific presentation |
| WEEK 2 Identify cause |
| DAY 1 | Study design and measures of effect and impact | Experience shared by US-CDC (disease control) |
| DAY 2 | Outbreak investigation | Using excel for field work |
| DAY 3 | Cohort study | Investigation exercise1 (emphasize descriptive) |
| DAY 4 | Case-control study | Investigation exercise2 (emphasize analytic) |
| DAY5 | En-oc investigation | Investigation exercise3 (NCD) |
| WEEK 3 Infer to population |
| DAY 1 | Experimental study | Screening test |
| DAY 2 | Inferential statistics I | Inferential statistics II |
| DAY 3 | Sampling | Sample size |
| DAY 4 | Errors in epidemiological studies: confounding | Errors in epidemiological studies: information and selection bi |
| DAY5 | Infectious disease dynamic | Basic infectious diseases modeling (exercise) |
| WEEK 4 Surveillance, epidemiology and communication |
| DAY 1 | Surveillance and epidemiology of HIV/AIDS | Surveillance exercise |
| DAY 2 | Surveillance evaluation | Surveillance evaluation exercise |
| DAY 3 | Risk communication | Confidence interval and p-value |
| DAY 4 | Epidemiology and surveillance of AI | Exercise of AI |
| DAY5 | Epidemiology of dengue infection | Post test and certification |