Statistical Modeling of The AIDS Virus


An excursion into the modeling of infectious diseases

Executive Summary

Introduction

Project Proposal

Analytical Methodology

Results

Conclusions

Future Work

References

Appendix 1
Understanding The Model


Appendix 2
Code, and Computations


Appendix 3
History of the AIDS Virus

Future Work

For future work it would be beneficial to add to the program more demographics such as sex, race, location, lifestyle, etc. Each of these would effect how often a person takes part in an activity which could possibly allow him/her to become infected, and would thus allow the program to more accurately predict the spread of the disease. The SI model could become nearly obsolete due to being replaced by a much more complex series of equations. Other variables used by the program could also be allowed to change as the program runs, such as birth rate, death rate, or infection chance, depending on the program’s generated statistics. This fully completed program would allow people to be more prepared for the possible future effects of the disease by giving them an accurate model that shows how the disease will affect the country as a whole.



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