Mathematical Modeling - Quantitative Data for Decision-Making

QUANTITATIVE DATA FOR DECISION-MAKING 

QUANTITATIVE DATA FOR DECISION-MAKING 

Mathematical Modeling for Public Health Practitioners and Researchers in Liberia
Mathematical modeling is an approach to representing the dynamics in a population. In public health, we model both population dynamics (such as, social and behavioral processes) and disease dynamics (that is, the epidemiology of the disease).

1
Dynamics: Infections and Socio-Demographic Factors
Learn about population dynamics and how they influence disease spread.
2
Basics: Compartmental Models and Assumptions
Read examples of compartmental models and practice developing your own.
3
Extensions: Other Model Structures
Consider scenarios when the assumptions of compartmental models require extensions. Learn about other modeling approaches.
4
Data: Parameterization
Use data to inform your own modeling exercise. Search for relevant and appropriate information and creatively apply it.
Our approach to modeling
We use people-centered approaches to understand public health problems in Liberia and develop research questions of community-level impact.

Article on Community-Based Participatory Research
Fee
$200USD to be paid at registration via
Mobile Money, Ecobank transfer, or cash.

* Funds from the course fees are used to hire research assistants for doing quantitative research projects!
Schedule
21 hours of classroom sessions + 21 hours lab session

Requirements
Personal laptop with internet capability required! Successful completion of Beginner R course and interest in mathematics.

Mathematical Modeling for Public Health Practitioners and Researchers in Liberia