POPM 3240 Lecture Notes - Lecture 9: Coeliac Disease, Mathematical Model, Serology

• School: University of Guelph
• Department: Population Medicine
• Course: POPM 3240
• Professor: Cathy Bauman

Document Summary

The theory and practice of epidemiology have drastically changed over the last century. More importantly, this evolution has seen integration of concepts, tools, and approaches from a variety of other disciplines in order to more effectively tackle today"s problems. Some of these disciplines include (but certainly are not limited to): mathematical modelling, qualitative research methods, public health. This unit is aimed at providing a high-level look at what these other disciplines offer epidemiologists and how they can be used within the context of epidemiological research. Mathematical models have become some of the cornerstone approaches for understanding, predicting, and controlling disease spread in populations. Using these robust models, epidemiologists are better able to understand how disease moves through a population of susceptible people. Mathematical models are most often applied to understand infectious diseases. Q-fever, rabies, sars, ebola: examples of non-infectious (non-communicable) disease: diabetes, celiac disease, cancer, osteoporosis.