The role of age structure in the persistence of a chronic pathogen in a fluctuating population

Journal of Biological Dynamics

Volumn 3, Issue 2-3, 2009, Pages 224-234

  Laverty, Sean M ^a   Adler, Frederick R ^a  

^a UNIVERSITY OF UTAH   (United States)

Author keywords

Age structure; Peromyscus maniculatus; Sin Nombre virus

Indexed keywords

AGING; ANIMAL; ANIMAL DISEASE; ARTICLE; BIOLOGICAL MODEL; BIRTH RATE; CHRONIC DISEASE; HANTAVIRUS PULMONARY SYNDROME; MALE; PEROMYSCUS; PHYSIOLOGY; POPULATION DYNAMICS; PREVALENCE; SIN NOMBRE VIRUS; VIROLOGY;

AGING; ANIMALS; BIRTH RATE; CHRONIC DISEASE; HANTAVIRUS PULMONARY SYNDROME; MALE; MODELS, BIOLOGICAL; PEROMYSCUS; POPULATION DYNAMICS; PREVALENCE; SIN NOMBRE VIRUS;

EID: 79952356951     PISSN: 17513758     EISSN: 17513766     Source Type: Journal    
DOI: 10.1080/17513750802452544     Document Type: Article

References (26)

1. Adler, F. R., Clay, C. A., and Lehmer, E. M., 2008. The role of heterogeneity in the persistence and prevalence of Sin Nombre virus in deer mice. Am. Nat., 172:855–867.
2. Adler, F. R., Pearce-Duvet, J. M.C., and Dearing, M. D., 2007. How host population dynamics translate into time-lagged prevalence:an investigation of Sin Nombre virus in deer mice. Bull. Math. Biol., 70:236–252.
3. Anderson, R. M., and May, R. M., 1991. Infectious Diseases of Humans:Dynamics and Control, Oxford, New York:Oxford University Press.
4. Aron, J. L., 1989. “ Simple Versus Complex Epidemiological Models ”. In Applied Mathematical Ecology, Edited by:Levin, S. A., Hallam, T. G., and Gross, L. J., 176–192. Berlin:Springer Verlag.
5. Borucki, M. K., Boone, J. D., Rowe, J. E., Bohlman, M. C., Kuhn, E. A., DeBaca, R., and Hjelle, B. L., 2000. Role of maternal antibody in natural infection of Peromyscus maniculatus with Sin Nombre virus. J. Virol., 74:2426–2429.
6. Botten, J., Mirowsky, K., Ye, C., Gottlieb, K., Saavedra, M., Punce, L., and Hjelle, B. L., 2002. Shedding and intracage transmission of Sin Nombre hantavirus in the deer mouse (Peromyscus maniculatus) model. J. Virol., 76:7587–7594.
7. Brown, J. S., and Heske, E., 1990. Temporal changes in a Chihuahuan Desert rodent community. Oikos, 59:290–302.
8. Castillo-Chavez, C., Feng, Z., and Huang, W., 2002. On the Computation R0 and its Role on Global Stability, Vol. 125, 229–250. Berlin, Heidelberg, New York:Springer-Veralg. chap. 13
9. Cushing, J. M., and Saleem, M., 1982. A predator-prey model with age structure. J. Math. Biol., 14:231–250.
10. Davis, S., Calvet, E., and Leirs, H., 2005. Fluctuating rodent populations and risk to humans from rodent-borne zoonoses. Vector Borne Zoonotic Dis., 5:305–314.
11. 0 in models for infectious diseases in heterogeneous populations. J. Math. Biol., 28:365–382.
12. Engelthaler, D. M., Mosley, D. G., Cheek, J. E., Levy, C. E., Komatsu, K. K., Ettestad, P., Davis, T., Tanda, D. T., Miller, L., Wyatt Frampton, J., Porter, R., and Bryan, R. T., 1999. Climatic and environmental patterns associated with hantavirus pulmonary syndrome, Four Corners Region, United States. Emerg. Infect. Dis., 5:87–94.
13. Fryxell, J., Falls, J., Falls, E., and Brooks, R., 1998. Long-term dynamics of small-mammal populations in Ontario. Ecology, 79:213–225.
14. Hart, C. A., and Bennett, M., 1999. Hantavirus infections:epidemiology and pathogenesis. Microbes Infect., 1:1229–1237.
15. Hyman, J. M., and Li, J., 2000. An intuitive formulation for the reproductive number for the spread of diseases in heterogeneous populations. Math. Biosci., 167:65–86.
16. Khan, A., and Khan, A. S., 2003. Hantaviruses:a tale of two hemispheres. Panminerva Med, 45:43–51.
17. Lednicky, J. A., 2003. Hantaviruses:A short review. Arch. Pathol. Lab. Med., 127:30–35.
18. McCallum, H., Barlow, N., and Hone, J., 2001. How should pathogen transmission be modelled?. Trends Ecol. Evol., 16:295–300.
19. Mills, J. N., Ksiazek, T. G., Peteres, C. J., and Childs, J. E., 1999. Long-term studies of hantavirus reservoir populations in the southwestern United States:a synthesis. Emerg. Infect. Dis., 5:135–142.
20. Muranyi, W., Bahr, U., Zeier, M., and van der Woude, F., 2005. Hantavirus infection. J. Am. Soc. Nephrol., 16:3669–3679.
21. Netski, D., Thran, B. H., and St. Jeor, S. C., 1999. Sin Nombre virus pathogenesis in Peromyscus maniculatus. J. Virol., 73:585–591.
22. O'Connor, C. S., Hayes, J. P., and St. Jeor, S. C., 1997. Sin Nombre Virus does not impair respiratory function of wild deer mice. J. Mammal., 78:661–668.
23. Pinder, J. E., III, Wiener, J., and Smith, M., 1978. The Weibull distribution:a new method of summarizing survivorship data. Ecology, 59:175–179.
24. Sauvage, F., Langlais, M., Yocco, N. G., and Pontier, D., 2003. Modelling hantavirus in fluctuating populations of bank voles:the role of indirect transmission on virus persistence. J. Anim. Ecol., 72:1–13.
25. Schmaljohn, C., and Hjelle, B. L., 1997. Hantaviruses:a global disease problem. Emerg. Infect. Dis., 3:95–104.
26. Terman, C. R., 1966. Population fluctuations of Peromyscus maniculatus and other small mammals as re-vealed by the North American census of small mammals. Am. Midl. Nat., 76:419–426.