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Applying Abstract Applying Abstract Algebra and Graph Algebra and Graph
Theory toTheory toModel Flu SeasonsModel Flu Seasons
April 30, 2005DIMACS Conference on Linking Mathematics and Biology in
High Schools
By Ben Hughes, [email protected]: Prateek Vasireddy and Casey Glass (High
School students)Olgamary Rivera-Marrero and Brandy Stigler (VT math
graduate students)
• A respiratory illness
• The Influenza virus can range from mild to life threatening
• 10%-20% of U.S. Residents get the flu
• 36,000 Americans die from complications of flu each year.
What is the flu?What is the flu?
Complications from the flu include pneumonia, dehydration, and worsening of preexisting medical conditions. The flu can be, and often is, fatal.
Graph: Flu Mortality rates
ComplicationsComplications
MissionMission
• Predict which region in Virginia has a higher possibility of an epidemic for the near-future
• Determine the most central location to build a clinic
• Determine the minimal number of infectious disease specialists to have on staff at the clinic
• Decide what types of prevention methods the specialist should use
• Find an optimal route for the R.N to travel & administer vaccinations
Abstract Algebra
Graph Theory
545135994789179130172003
9255348873457952002
3961619031413622001
2925011201103372000
31410216031324071999
15433758341811998
681310221161997
243957921241996
ECSWNNW
Virginia Department of Health Flu Activity Statistics
• Using data from Virginia Department of Health, a model was created
Predicting Epidemics
Northwest (NW) – 1 Northern (N) – 2 Southwest (SW)– 3 Central (C) – 4Eastern (E) – 5 (http://www.vdh.state.va.us/).
1. We took the flu activity data and normalized it by computing the highest value and dividing everything by it and then multiplying by 100.
1 5
2
3
4
5
1
0
1
0
1
f x
f
f
f
f
3. Then we added zero-polynomials to the functions to account for borders and other factors we believed might affect the spread of the flu until we got the dependency graph on the right.
Then we rendered the state space graph that is seen on the next slide.
How we made the modelHow we made the model
101002003
101012002
001002001
ECSWNNW
2. Then we created a basic model in DVD(Discrete Visualizer of Dynamics) using the functions.
Dependency graph
• Central and Northwest Virginia will have epidemics on 2005• Southwest Virginia borders both of those regions• We chose Pittsylvania County for a clinic because of its size (and we live there)
What the model showedWhat the model showed
2001
2002
2003
2004
2005
NW N SW C E
Clinic and the SpecialistsClinic and the Specialists
Using a shortest path and vertex coloring we determined both the mostcentral city (Chatham) and the minimum number of specialists needed (3).
Mathematical Modeling: Using Graphs and Matrices
•One specialist will give speeches to the community
•Another will teach first aid classes to help make people aware of what to do about the flu
•The other one will pass out posters like the one below.
Clinic and the SpecialistsClinic and the Specialists
Because vaccination is an effective way of preventing the flu, RNs, or “flu-shooters,” must be sent to each town/city in the county.
By finding a Hamilton circuit(a graph where one can pass through each vertex exactly once and return to the starting location) we found one of the most efficient path for an RN to take.
RN's AKA Flu-ShootersRN's AKA Flu-Shooters
http://www.utc.edu/Faculty/ChristopheMawata/petersen/lesson12b.htm
Conclusions
• We were able to make mathematical models for our prediction and prevention of the flu in Southwest Virginia
ReferencesReferences
• ww.cdc.gov/flu/keyfacts
• Mathematical Modeling: Using Graphs & Matrices
Learning in motion software - http://www.learn.motion.com/products/modeling/index.html
• DVD - Discrete Visualizer of Dynamicshttp://dvd.vbi.vt.edu/visualizer/new_dvd11.pl
• Graph Theory Lessons – Euler Circuit and Hamiltonian Circuithttp://www.utc.edu/Faculty/ChristopheMawata/petersen/lesson12b.htm