Assessing the accuracy of spatiotemporal epidemiological models

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5354 LNBI, Issue , 2008, Pages 143-154

  Kaufman, James H ^a   Conant, Joanna L ^b   Ford, Daniel A ^a   Kirihata, Wakana ^c   Jones, Barbara ^a   Douglas, Judith V ^a  

^a IBM ALMADEN RESEARCH CENTER   (United States)

^b UNIVERSITY OF VERMONT COLLEGE OF MEDICINE   (United States)

^c Och Spine at New York Presbyterian Hospitals   (United States)

Author keywords

Assessment; Epidemiological models; Infectious disease spread; Spatiotemporal data analysis; Validation

Indexed keywords

ASSESSMENT; EPIDEMIOLOGICAL MODELS; INFECTIOUS DISEASE SPREAD; SPATIOTEMPORAL DATA ANALYSIS; VALIDATION;

PHASE SPACE METHODS;

EID: 58549117105     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-89746-0_14     Document Type: Conference Paper

References (18)

1. Hethcote, H.W.: The Mathematics of Infectious Diseases. SIAM Rev. 42, 599-653 (2000)
2. Bailey, N.T.: The Mathematical Theory of Infectious Diseases, 2nd edn. Charles Griffin and Co. Ltd., London (1975)
3. Anderson, R.M., May, R.M.: Infectious Diseases of Humans. Oxford University Press, Oxford (1992)
4. Widgren, S.: Graph Theory in Veterinary Epidemiology - Modelling an Outbreak of Classical Swine Fever. Thesis, Institution for Ruminant Medicine and Veterinary Epidemiology, Swedish University of Agricultural Sciences, Uppsala, Sweden (2004)
5. Myers, L.A., Newman, M.E.J., Martin, M., Schrag, S.: Applying Network Theory to Epidemics: Control Measures for Mycoplasma Pneumonia Outbreaks. Emerg. Infect. Dis. (2003), http://www.cdc.gov/ncidod/EID/vol9no2/02-0188.htm
6. Ford, D.A., Kaufman, J.H., Eiron, I.: An Extensible Spatial and Temporal Epidemiological Modeling System. Int. J. Health Geogr. 5(4) (2006), http://www.ij-healthgeographics.com/content/5/1/4, http://www.eclipse.org/ohf/ components/stem/
7. The Eclipse Foundation, http://www.eclipse.org/org/
8. Schaffer, W.M., Bronnikova, T.V.: Parametric Dependence in Model Epidemics. J. Biol. Dynam. 1, 183-195 (2007)
9. Olsen, L.F., Schaffer, W.M.: Chaos vs. Noisy Periodicity: Alternative Hypotheses for Childhood Epidemics. Science 249, 499-504 (1990)
10. Ohkusa, Y., Sugawara, T.: Application of an Individual-Based Model with Real Data for Transportation Mode and Location to Pandemic Influenza. J. Infect. Chemother. 13(6), 280-389 (2007)
11. Kuznetsov, Y., Piccardi, C.: Bifurcation Analysis of Periodic SEIR and SIR Epidemic Models. J. Math. Biol. 32, 109-121 (1994)
12. Li, M.Y., Muldowney, J.: Global Stability for the SEIR Model in Epidemiology. Math. Biosci. 125, 155-164 (1995)
13. Zhang, G., Liu, Z., Maa, Z.: Generalized Synchronization of Different Dimensional Chaotic Dynamical Systems. Chaos, Solitons & Fractals 32(2), 773-779 (2007)
14. Wilbur Smith Associates: Northeast CanAm Connections - Integrating the Economy and Transportation. Task force report (2007)
15. Vermont Agency of Transportation, Policy and Planning Division, Traffic Research Unit: Continuous Traffic Counter Grouping Study and Regression Analysis Based on 2007 Traffic Data (2008)
16. Wearing, H.J., Rohani, P., Keeling, M.J.: Appropriate Models for the Management of Infectious Diseases. PLoS Med. 2,7, 621 (2005)
17. Bootsma, M.C.J., Ferguson, N.M.: The Effect of Public Health Measures on the 1918 Influenza Pandemic in U.S. Cities. PNAS 104, 18 (2007)
18. Arino, J., Frauer, F., van den Driessche, P., Watmough, J., Wu, J.: A Model for Influenza with Vaccination and Antiviral Treatment. J. Theor. Bio. 253(1), 118-130 (2008)