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| ASCII Text | x | ||
| Dianne P. O'Leary, "More Models of Infection: It's Epidemic," Computing in Science and Engineering, vol. 6, no. 2, pp. 50-56, March/April, 2004. | |||
| BibTex | x | ||
| @article{ 10.1109/MCISE.2004.1267606, author = {Dianne P. O'Leary}, title = {More Models of Infection: It's Epidemic}, journal ={Computing in Science and Engineering}, volume = {6}, number = {2}, issn = {1521-9615}, year = {2004}, pages = {50-56}, doi = {http://doi.ieeecomputersociety.org/10.1109/MCISE.2004.1267606}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - MGZN JO - Computing in Science and Engineering TI - More Models of Infection: It's Epidemic IS - 2 SN - 1521-9615 SP50 EP56 EPD - 50-56 A1 - Dianne P. O'Leary, PY - 2004 KW - infection models KW - computer models VL - 6 JA - Computing in Science and Engineering ER - | |||
In the last issue, we used Monte Carlo simulations and Markov models to gain insight into a simple model of an infection's spread. We discuss this further in the solution section of this column, but first we develop some alternate models of epidemics, based on differential equations.
Index Terms:
infection models, computer models
Citation:
Dianne P. O'Leary, "More Models of Infection: It's Epidemic," Computing in Science and Engineering, vol. 6, no. 2, pp. 50-56, March-April 2004, doi:10.1109/MCISE.2004.1267606
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