238937 Mathematical modeling software: Ins and outs

Saturday, October 29, 2011: 11:15 AM

Eric Lofgren, MSPH , Department of Epidemiology, UNC Gillings School of Global Public Health, Washington, DC
This presentation will provide an overview of the different software packages accessible to most public health researchers interested in pursuing an interest in mathematical models. These packages will be compared and contrasted based on their ease of use and utility in implementing models. A special focus in this presentation will be placed on software packages participants are already familiar with and may have access to, such as Microsoft Excel, and popular statistical packages such as SAS, STATA and R.

Learning Areas:
Basic medical science applied in public health
Other professions or practice related to public health
Protection of the public in relation to communicable diseases including prevention or control
Public health or related research
Systems thinking models (conceptual and theoretical models), applications related to public health

Learning Objectives:
1. List common software used to implement mathematical models. 2. Compare packages based on usability, complexity and cost. 3. Assess which software is most suited to the learner's goals.

Presenting author's disclosure statement:

Qualified on the content I am responsible for because: I am qualified to be the session Organizer for the proposed learning institute because I have previously presented on the topic of using zombie outbreaks to teach infectious disease modeling at previous (2010) APHA conferences. I also have extensive experience with epidemiological modeling, and have extensively published on applications of popular culture to mathematical modeling.
Any relevant financial relationships? No

I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.