Title

Compartmental Models for Infectious Disease

Document Type

Oral Presentation

Campus where you would like to present

Ellensburg

Event Website

https://digitalcommons.cwu.edu/source

Start Date

16-5-2019

End Date

16-5-2019

Abstract

Mathematical modeling is the process of using various mathematical structures to represent real world situations. These models can be used to predict pandemics, natural disasters, population data, and other real world aspects. We can create a model to track a disease’s possible spread. By applying real world data, we can create a simulation of a disease. Using the information gathered from the model, we can understand how an outbreak may behave. The results can be put into perspective to create effective precautions and actions to combat an outbreak.

Faculty Mentor(s)

Caleb Dunlop

Department/Program

Computer Science

Pana_Lamas_Compartmental_Models_for_Infectious_Disease_Presentation_SOURCE.pdf (1053 kB)
Slides for SOURCE 2019 presentation Lamas

Additional Files

Pana_Lamas_Compartmental_Models_for_Infectious_Disease_Presentation_SOURCE.pdf (1053 kB)
Slides for SOURCE 2019 presentation Lamas

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May 16th, 12:00 AM May 16th, 12:00 AM

Compartmental Models for Infectious Disease

Ellensburg

Mathematical modeling is the process of using various mathematical structures to represent real world situations. These models can be used to predict pandemics, natural disasters, population data, and other real world aspects. We can create a model to track a disease’s possible spread. By applying real world data, we can create a simulation of a disease. Using the information gathered from the model, we can understand how an outbreak may behave. The results can be put into perspective to create effective precautions and actions to combat an outbreak.

https://digitalcommons.cwu.edu/source/2019/Oralpres/193