PUBH3365

PUBH 3365 - Mathematical Modeling for Infectious Disease Epidemiology (2 Cr.)

School of Public Health - Adm (11162) TPUB - School of Public Health

PUBH 3365 - Mathematical Modeling for Infectious Disease Epidemiology (2 Cr.)

Course description

Infectious disease epidemiology is a topic within the field of epidemiology that covers:
1) Principles and concepts of infectious disease transmission dynamics necessary to understand how and why diseases spread
2) Epidemiologic methods, including study designs, needed to quantify key aspects of an infectious disease

This course will also discuss:
1) How to use modeling to gain insight into the spread and control of infectious disease
2) The role that geography and GIS plays in gaining insights into the emergence and spread of an infectious disease

In this combined undergraduate/graduate course, students will learn how mathematical modeling can provide insights into what contributes to the spread of an infectious disease and how to use it to inform health policy decisions to improve health outcomes. In the process, students will learn key epidemiologic concepts that determine who is at risk for acquiring an infectious disease, how infectious diseases spread, and what measures can be taken to prevent or control the spread of an infectious disease. In addition, students will learn how to read and critically review peer-reviewed publications on infectious disease epidemiology using examples drawn from local, national, and international settings.

Minimum credits

2

Maximum credits

2

Is this course repeatable?

No

Grading basis

OPT - Student Option

Lecture

Requirements

010347

Fulfills the writing intensive requirement?

No

Typically offered term(s)

Every Fall