Document Type
Article
Publication Date
2008
DOI
10.5735/086.045.0503
Publication Title
Annales Zoologici Fennici
Volume
45
Issue
5
Pages
385-401
Abstract
Computational models have been successfully applied to a wide variety of research areas including infectious disease epidemiology. Especially for questions that are difficult to examine in other ways, computational models have been used to extend the range of epidemiological issues that can be addressed, advance theoretical understanding of disease processes and help identify specific intervention strategies. We explore each of these contributions to epidemiology research through discussion and examples. We also describe in detail models for raccoon rabies and methicillin-resis-tant Staphylococcus aureus, drawn from our own research, to further illustrate the role of computation in epidemiological modeling.
Original Publication Citation
Duke-Sylvester, S. M., Perencevich, E. N., Furuno, J. P., Real, L. A., & Gaff, H. (2008). Advancing epidemiological science through computational modeling: A review with novel examples. Annales Zoologici Fennici, 45(5), 385-401. doi:10.5735/086.045.0503
Repository Citation
Duke-Sylvester, Scott M.; Perencevich, Eli N.; Furuno, Jon P.; Real, Leslie A.; and Gaff, Holly, "Advancing Epidemiological Science Through Computational Modeling: A Review with Novel Examples" (2008). Biological Sciences Faculty Publications. 201.
https://digitalcommons.odu.edu/biology_fac_pubs/201
ORCID
0000-0002-4034-2684 (Gaff)
Included in
Computational Biology Commons, Environmental Sciences Commons, Veterinary Preventive Medicine, Epidemiology, and Public Health Commons, Zoology Commons