Review Malaria Epidemiology
Make sure you’re familiar with these fundamental concepts of malaria epidemiology
Pre-Requisites
The crash course in Week 0 will assume familiarity with certain concepts. If you are not familiar with them, please review these resources before the crash course:
StatPearls - Epidemiology of Study Design
- Observational vs. Cohort vs. Experimental Studies
CDC Principles of Epidemiology in Public Health Practice
- Lesson One: Intro to Epidemiology
- Key features and applications of descriptive & analytic epidemiology
- Key features and applications of descriptive & analytic epidemiology
- Lesson Two: Summarizing Data
- Calculating and interpreting mean, median, mode, ranges, variance, standard deviation, and confidence intervals
- Calculating and interpreting mean, median, mode, ranges, variance, standard deviation, and confidence intervals
- Lesson Three: Measures of Risk
- Calculating and interpreting ratios, proportions, incidence rates, mortality rates, prevalence, and years of potential life lost
Crash Course Objectives
During Week 0, we will host a malaria epidemiology crash course, focused on these learning objectives:
- Describe malaria pathogenesis and disease burden metrics in humans
- Describe factors that affect the disease burden, including impact of interventions and host factors such as age and immunity
- Overview of epidemiological methods for measuring malaria morbidity and mortality and how information can be collected
- Identify examples of error, bias, confounding, and validity in malaria studies
- Describe the life-cycle of human malaria parasites, key stages, and their relevance to transmission and control
- Relate the parasite life cycle to pathogenesis, immune responses, and interventions
- Describe the life- and feeding cycle of malaria vectors