Hostname: page-component-78c5997874-4rdpn Total loading time: 0 Render date: 2024-11-12T21:39:19.129Z Has data issue: false hasContentIssue false
  • English
  • Français

Modelling for the management and control of ticks: Special considerations and ICIPE's approach

Published online by Cambridge University Press:  19 September 2011

Sagary Nokoe
Sagary Nokoe
Affiliation:
Biomathematics Research Unit, The International Centre of Insect Physiology and Ecology, P. O. Box 30772, Nairobi, Kenya
Get access

Abstract

The systems analysis approach is an appropriate procedure for the effective development of a management model for the strategic control of ticks. The interacting nature of the controllable and uncontrollable factors, and the difficulty in mimicking such complex situations experimentally, should be considered in the formulation of such models. ICIPE's approach relies on the use of both deterministic and stochastic models, and assumes unambiguous definitions of management's expectations.

Résumé

L'analysis des systèmes est une procédure appropriée pour le développement éfficace d'un model de gestion pour la strategie du contrôle des tiques. La nature de l'interaction des facteur controllable et non-controllable et les difficultés associées dans l'interpretation de tels complexes experimentallement doivent être considérer dans la formulation de tels modèles la façon d'aborder le problème de l'ICIPE dépend de l'utilization des modèles deterministiques et stochastiques et assumé une definition non-ambigue des résultats de la gestion.

Keywords

Systems analysismanagement modelstick controlAnalyse des systèmesmodèles de gestioncontrôle des tiques
Type
Tick Ecology and Modelling
Information
International Journal of Tropical Insect Science , Volume 13 , Special Issue 4: Status and Recent Advances in Tick Management in Africa , August 1992 , pp. 545 - 549
Copyright
Copyright © ICIPE 1992

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

Floyd, R. B., Sutherst, R. W., Maywald, G. R., and Dallwitz, M. J. (1986) User-Guide to T3H0ST (version 3.0). A population model of a three-host tick. CSIRO, Australian Division of Entomology, Australia.Google Scholar
Gettingby, G. (1987) A computer model with expert rules for the control of African cattle diseases. In Interactions in Artificial Intelligence and Statistical Methods (Edited by Phelps, B.), pp. 73–84.Google Scholar
Gettingby, G., Newson, R. M., Calpin, G. and Patten, G. (1988) Simulation model for genetic resistance to acaricides. Prev. Vet. Med. 6, 183–197.CrossRefGoogle Scholar
Haile, D. G., and Mount, G. A. (1987) Computer simulation of population dynamics of the lone star tick, Amblyomma americanum (Acari: Ixodidae). J. Med. Entomol. 24, 356–369.CrossRefGoogle Scholar
King, D., Gettingby, G. and Newson, R. M. (1988) A climate based model for development of the ixodid tick. Vet. Parasit. 29, 41–51.CrossRefGoogle ScholarPubMed
Maywald, G. F. and Sutherst, R. W. (1985) User's Guide to CLIMEX, a Computer Population for Comparing Climates in Ecology, CSIRO Australia Division Entomology Rep. No. 35, p. 28.Google Scholar
Nokoe, S. (1988) Modelling approaches to vectors. The Kenya Veterinarian 12, 21–22.Google Scholar
Nokoe, S., Meena, H., Munyinyi, D., Punyua, D., Latif, A., and Okello, O. O. (1992) A computer simulated model forthe biology and control of Rhipicephalus appendiculatus. Insect Sci. Applic. 13, 69–77.Google Scholar
Paten, B. C. (1971) A prime for ecological modelling and simulation with analog and digital computers. In Systems Analysis and Simulation in Ecology. Academic Press, NY.Google Scholar
Paul, R. J. (1987) Al and stochastic process simulation. In Interactions in Artificial Intelligence and Statistical Methods (Edited by Phelps, B.), pp. 85–91. Unicorn.Google Scholar
Sutherst, R. W. (1987) The role of models in tick control. In Proceedings of International Conference on Veterinary Preventive Medicine and Animal Production, Melbourne, Australia. (Edited by Hughes, K. L.), pp. 32–37. Australian Veterinary Association, Australia.Google Scholar
Sutherst, R. W., Floyd, R. B., Bourne, A. S., and Dallwitz, M. J. (1986) Cattle grazing behaviour regulates tick populations. Experimentia 42, 194–196.CrossRefGoogle Scholar
Sutherst, R. W. and Wharton, R. H. (1973) Preliminary considerations of a population model for Boophilus microplus in Australia. Proc. Third Int. Congr. Acarol. pp. 797–801.CrossRefGoogle Scholar
Tummala, R. L., Ruesink, W. G. and Haynes, D. L. (1975) A discrete component approach to the management of the cereal leaf beetle ecosystem. Environ. Entomol. 4, 175–186.CrossRefGoogle Scholar
Weidhaas, D. E., Haile, D. G., George, J. E., Osburn, R. L. and Drammond, R. O. (1983) Abasic model for use in computer simulations of Boophilus tick biology and control USDA. Advances in Agricultural Technology No. 32.Google Scholar