A Computational Epidemiology Course (Intensive View for UFRPE BSI-14028 PPGIA-7306, ESMPU...)

BOOKS

    

CLASS SCHEDULE

• Foundations
• Epidemiology: An Introduction to Applied Epidemiology
• Concepts and scientific challenges: 
1. The Meaning of Life;
2. Epic Conway´s Game;
3. slides HERE;
4. (Introduction to Cellular Automata): The New Kind of Science, Stephen Wolfram, Wolfram Media, 2002;
5. Game of Life;
6. http://www.wolfram.com/;
7. The general and logical theory of automata" (1948!!) by John von Neumann.

• Mathematics: 
1. Introduction to ODEs, 
2. Compartmental models in Epidemiology  
3. The first formalization by A. G. McKendrick and W. O. Kermack: http://www.math.utah.edu/~bkohler/Journalclub/kermack1927.pdf

• Epidemiology in Temporal and Spatial dimensions: http://www.systema-journal.org/article/view/172

• Motivation
• Classical (Mathematical) Epidemic Models and What is Spacetime, really?
• A Discrete View of the World: Fractal Dimension and The Cellular Automaton. 

• Nature and Life: How did life begin? by Stephen Hawking
• Gnus X Lions by John Fryxell
• Design = mathematics + ICTs + synthetic biology by Neri Oxman. 

• Examples: self-replicating blocks from Cornell (2009), resilient robot from Cornell (2009), self-replicating robots from Harvard (2014). Foundations: "The general and logical theory of automata" (1948!!) by John von Neumann.

• some LIFE examples: fire propagation, urban growth, music, recurve bown, road traffic, fluid simulation, crowd simulation, crowd simulation in a no so good model :-)...

• READING 
• The TIPPING POINT and by Gladwell, Computating a theory of Everything by Stephen Wolfram, 
• 
  

• what is Computational Epidemiology? how to capture the Tipping Points? Is it possible? It is not only GIS (http://wwwnc.cdc.gov/eid/article/2/2/96-0202_article), neither only Math (http://cmmid.lshtm.ac.uk/), neither only Turing Computations of a Information System (https://publications.nigms.nih.gov/computinglife/simsickness.htm or http://cacm.acm.org/magazines/2013/7/165478-computational-epidemiology/abstract or http://www.nature.com/news/google-ai-algorithm-masters-ancient-game-of-go-1.19234.  so, what is this? a month "calculation" and... enjoy the trip! whats next? Cancer Epidemiology (1), (2)... and by Epitrack :-) applying into other areas than Health: HealthDrones, Desert-Map, Innovation clustering, technology adoption, Energy clustering, ...
• Computational Epidemiology in REAL: https://www.researchgate.net/profile/Jones_Albuquerque 

In a CLASS-Oriented view:

1. (14.08.2019) - 4h - Reading of all material
2. (21.08.2019) - 4h - SIR Models
3. 4h - Implementation of SIR Models
4. 4h - Evaluation of SIR Models
5. 4h - Modeling using SIR Models
6. 4h - Implementation and simulating SIR Models
7. 4h - Result analysis using SIR Models
8. 4h - Presentation of models, implementation and simulations
9. 4h - Implementation of Game-of-Life
10. 4h - Reading Cellular Automata
11. 4h - Reading Cellular Automata 
12. 4h - Reading Cellular Automata
13. 4h - Implementation of Cellular Automata using the Game-of-Life Implementation
14. 4h - Joining SIR Implementation with the Cellular Automata Implementation
15. 4h - Modeling using Cellular Automata and SIR Models
16. 4h - Implementation and simulating Cellular Automata and SIR Models
17. 4h - result analysis using SIR Models
18. 4h - presentation of the results in a Blog (news), in a Paper for REIC or TEMA (scientific and methodology), in GitHub (code)