Developing math models to predict human migration patterns.

Dr. Joel Cohen discusses his work on a new mathematical model to predict migration patterns. The model, developed with Dr. Marta Roig, combines the General Linear Model and gravity models with real migration data. It focuses on demographic and geographic factors, offering predictive power despite its simplicity. The model's potential application in tracking epidemics is explored, though it primarily describes migrants, not tourists or business travelers. Future research will address age structure and data quality issues, highlighting the need for improved migrant data definitions.

In what ways could the population migration model be useful in tracking epidemics?

What are the limitations of the current migration model as mentioned by Doctor Cohen?

What future work does Doctor Cohen suggest is needed in the field of population modeling?