Infection transmission science and models

Japanese Journal of Infectious Diseases

Volumn 58, Issue 6, 2005, Pages

  Koopman, James S ^a  

^a UNIVERSITY OF MICHIGAN   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; COMPARTMENT MODEL; DISEASE TRANSMISSION; INFECTION; INFECTION CONTROL; PREDICTION; STOCHASTIC MODEL; SYSTEM ANALYSIS; THEORETICAL STUDY;

COMMUNICABLE DISEASES; COMPUTER SIMULATION; HUMANS; MODELS, BIOLOGICAL; MODELS, STATISTICAL;

EID: 30544444765     PISSN: 13446304     EISSN: 13446304     Source Type: Journal    
DOI: None     Document Type: Article

References (12)

1. Koopman, J. S. (2005): Mass action and system analysis of infection transmission. In Cuddington, K. and Beisner, B. E. (eds.), Ecological Pardigms Lost: Routes to Theory Changes. Academic Press.
2. Koopman, J. S., Jacquez, G. and Chic, S. E. (2001): New data and tools for integrating discrete and continuous population modeling strategies. Ann. New York Acad. Sci. 954, 268-294.
3. Koopman, J. S. (2004): Modeling infection transmission. Ann. Rev. Public Health, 25, 303-326.
4. Anderson, R. M. and May, R. M. (1991): Infectious Diseases of Humans: Dynamics and Control. Oxford Universtiy Press, Oxford.
5. Diekmann, O. and Heesterbeek, J. A. P. (2000): Mathematical Epidemiology of Infectious Diseases: Model Building, Analysis and Interpretation. Wiley, Chichester.
6. McCallum, H., Barlow, N. and Hone, J. (2001): How should pathogen transmission be modelled? Trends Ecol. Evol., 16, 295-300.
7. Riggs, T. W. and Koopman, J. S. (2004): A stochastic model of vaccine trials for endemic infections using group randomization. Epidemiol, Infect., 132, 927-938.
8. Grenfell, B. and Harwood, J. (1997): (Meta)population dynamics of infectious diseases. Tree, 12, 395-399.
9. Jacquez, J. A., Simon, C. P. and Koopman, J. S. (1989): Structured mixing: heterogeneous mixing by the definition of activity group. p. 316-349. In Castillo-Chavez, C. (ed.), Mathematical and Statistical Approaches to AIDS Epidemiology. vol. 83. Springer-Verlag, Heidelberg.
10. Keeling, M. J., Rand, D. A. and Morris, A. J. (1997): Correlation models for childhood epidemics. Proceedings of the Royal Society of London - Series B: Biological Sciences. 264 (1385), 1149-1156.
11. O'Neill, P. D. (2002): A tutorial introduction to Bayesian inference for stochastic epidemic models using Markov chain Monte Carlo methods. Math. Biosci., Nov-Dec 180, 103-114,
12. Suzuki, K., Yamamoto, K. and Yoshikura, H. (2005): International symposium on infectious agent transmission model building - focusing on assessment of risk to communities. Jpn. J. Infect. Dis., 58, S1-S2.