Abstract
Tsetse flies are the vectors of trypanosomes, the causal agent of trypanosomiasis, a widespread disease of livestock and people in Africa. Control of tsetse may open vast areas of land to livestock-keeping, with the associated benefits of developing mixed crop-livestock production systems. However, as well as possible positive impacts there are also risks: bush clearing would accelerate and cattle numbers would rise, leading to a reduction of vegetation cover, and an increase in runoff and erosion; there may also be increased pressure on conserved areas and reductions in biodiversity. The objective of this study is to show how remotely sensed and other environmental data can be combined in a decision support system to help inform tsetse control programmes in a manner that could be used to limit possible detrimental effects of tsetse control. For Zambia, a methodology is developed that combines a tree-based decision-support approach with the use of Multiple-Criteria Evaluation (MCE), within a Geographical Information System (GIS), in order to target areas for tsetse control. The results show clear differentiation of priority areas under a series of hypothetical scenarios, and some areas (e.g. northwest of Petauke in the Eastern Province of Zambia) are consistently flagged as high priority for control. It is also demonstrated that priority areas do not comprise isolated tsetse populations, meaning that disease control using an integrated approach is likely to be more economically viable than local eradication.
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References
Chapman, R. (1999). Predicting bird species diversity in Zambia using GIS and remotely sensed environmental Data, MSc Thesis, Oxford, England: University of Oxford.
Clarke, K.C., Mclafferty, S.L., & Tempalski, B.J. (1996). On epidemiology and geographic information systems: a review and discussion of future directions, Emergency Infectious Diseases, 2, 85–92.
De la Rocque, S. (1997) Identification des facteurs discriminants de la présence de glossines dans une zone agro-pastorale du Burkina Faso. Intérêt pour l'évaluation du risque trypanosomien, PhD Thesis. Montpellier, France: Université Montpellier II.
Eastman, J.R., Kyem, P.A.K., Toledano, J., & Jin, W. (1993). Explorations in Geographic Information Systems, Volume 4: GIS and Decision Making. Geneva, Switzerland: United Nations Institute for Training and Research (UNITAR).
Elliott, P., Cuzick, J., English, D., & Stern, R. (eds) (1992) Geographical and Environmental Epidemiology. Methods for small-area studies. Oxford: Oxford University Press, pp. 382
Erkelens, A.M., Dwinger, R.H., Bedane, B., Singenbergh, J.H.W., & Wint, W. (2000). Selection of priority areas for tsetse control in Africa; a decision tool using GIS in Didessa Valley, Ethiopia, as a pilot study. In: Animal Trypanosomosis: Diagnosis and Epidemiology, (IAEA, Leiden: Backhuys), pp. 213–236.
FAO. (1995). The digitized soil map of the World including derived soil properties. Version 3.5, FAO Land and Water Digital Media Series 1, FAO, Rome.
Ford, J., & Katondo, K. M. (1977). Maps of tsetse fly (Glossina) distribution in Africa, 1973, according to sub-generic groups on a scale of 1:5 000 000. Bull. Anim. Health Prod. Afr, 15, 187–193.
Gilbert, M., Jenner, C., Pender, J., Rogers, D., Slingenbergh, J., & Wint, W. (2001). The Programme Against African Trypanosomiasis Information System (PAATIS), In: S. N. Black and J. R. Seed (eds). World Class Parasites: Vol. 1 - the African Trypanosomes, The Netherlands: Kluwer Academic Publishers, Dordrecht, pp. 11–24.
Hay, S.I. (1997). Remote sensing and disease control: past, present and future. The Royal Society of Tropical Medicine and Hygiene, 91, 105–106.
Heywood, L, Olivier, J., & Tomlinson, S. (1995). Building an exploratory multi-criteria modelling environment for spatial decision support, In: P. Fisher (eds). Innovations in GIS 2, Taylor and Francis, London, England, pp. 127–136.
Hendrickx, G. (1999). Georeferenced Decision Support Methodology towards Trypanosomosis Management in West Africa, PhD thesis, Gent, Belgium: Universiteit Gent.
Hendrickx, G., De La Rocque, S., Reid, R., & Wint, W. (2001). Spatial trypanosomosis management. from data-layers to decision-making, Trend. Parasit, 17, 35–42.
Heywood, I., Olivier, J., & Tomlinson, S. (1995). Building an Exploratory Multi-Criteria Modelling Environment for Spatial Decision Support, In: Innovations in GIS 2, (Fisher, London: Taylor and Francis.), pp. 127–136.
ILRI. (1995). Annual Report of the International Livestock Research Institute. Nairobi: ILRI.
IAEA. (2001). Biting the fly: Eradicating one of Africa's most pernicious insect pests, in Proceedings of the International Atomic Energy Agency General Conference, 45th Regular Session, September 17–21 2001, Vienna, Austria. http://www.iaea.org/About/Policy/GC/GC45/SciProg/ sftsetse.html.
Jihui, Q., & Tisue, T. (2000). Achievable breakthrough: viewpoint on the challenge of creating tsetse-free zones in sub-Saharan Africa. IAEA Bull, 42, 47–50.
Jordan, A.M. (1985). Tsetse eradication plans for southern Africa. Parasitol. Today, 1, 121–123.
Kristjanson, P.M., Swallow, B.M., Rowlands, G.J., Kruska, R.L., & De Leeuw, P.N. (1999). Measuring the costs of African animal trypanosomosis, the potential benefits of control and returns to research. Agricultural Systems, 59, 79–98.
Lack, P. (1986). The Atlas of Wintering Birds in Britain and Ireland. T. & A.D. Poyser, Calton.
Malczewski, J. (2000). On the use of weighted linear combination method in GIS: common and best practice approaches. Trans. GIS, 4, 5–22.
Massawe, S., Mugenyi, A., & Robinson, T.: In press, Spatial targetting of trypanosomiasis interventions in Uganda, Working Paper, Food and Agriculture Organisation Pro-Poor Policy Initiative, Rome, Italy.
Mathews, J.H. (1992). Numerical Methods for Mathematics, Science and Engineering. London: Prentice-Hall International.
Mott, K.E., Nutall, I., Desjeux, P., & Cattand, P. (1995). New geographical approaches to control of some parasitic zoonoses. B. World Health Organ, 73, 247–257.
Openshaw, S. (1996). Geographic Information Systems and tropical diseases. T. Roy. Soc. Trop. Med. H, 90, 337–339.
Robinson, T. (1998). Geographic Information Systems and the selection of priority areas for control of tsetse-transmitted trypanosomiasis in Africa. Parasitol. Today, 14, 11, 457–461.
Robinson, T. (2000). Spatial analysis and Geographic Information Systems in epidemiology and public health. Adv. Parasitol, 47, 81–128.
Robinson, T.P. (2002a). Decision support for trypanosomiasis control in Ethiopia Report to Dr Zileshi Zewdie, Acting Head of Veterinary Services. Nairobi, Kenya: International Livestock Research Institute (ILRI).
Robinson, T.P. (2002b). Decision support for trypanosomiasis control in Kenya, Report to Dr William K.T. Chong, Director of Veterinary Services. Nairobi, Kenya: International Livestock Research Institute (ILRI).
Robinson, T.P. (2002c). Decision support for trypanosomiasis control in Uganda, Report to The Rt Hon Mary Myugenyi, Minister of State for Animal Industry, Government of Uganda. Nairobi, Kenya: International Livestock Research Institute (ILRI).
Robinson, T., Rogers, D.J., & Williams, B. (1997a). Mapping tsetse habitat suitability in the common fly belt of southern Africa using multivariate analysis of climate and remotely sensed vegetation data. Medical and Veterinary Entomology, 11, 235–245.
Robinson, T.P., Rogers, D.J., & Williams, B. (1997b). Univariate analysis of tsetse habitat in the common fly belt of southern Africa using climate and remotely sensed vegetation data. Medical and Veterinary Entomology, 11, 223–234.
Robinson, T.P., Harris, R.S., Hopkins, J.S., & Williams, B.G. (2002). An Example of decision support for trypanosomiasis control using a Geographic Information System in eastern Zambia. International Journal Of Geographical Information Science, 16, 4, 345–360.
Rogers, D.J., & Robinson T.P. (2004). Tsetse distribution. In: I. Maudlin, P.H. Holmes and M.A. Miles (eds). The trypanosomiases. Wallingford, UK: CABI International, pp. 139–179.
Rogers, D.J., & Randolph, S.E. (1993). Distribution of tsetse and ticks in Africa: past, present, and future. Parasitol. Today, 9, 266–271.
Rogers, D.J., & Williams, B.G. (1993). Monitoring trypanosomiasis in space and time, Parasitology, 106, 77–92.
Rogers, D.J., & Williams, B.G. (1994). Tsetse distribution in Africa: seeing the wood and the trees. In: P.J. Edwards, R.M. May and N. Webb (eds). Large-Scale Ecology and Conservation Biology. Oxford, England: Blackwell Scientific Publications, pp. 247–271.
Rogers, D.J., Hay, S.I., & Packer, M.J. (1996). Predicting the distribution of tsetse flies in West Africa using temporal Fourier processed meteorological satellite data. Ann. Trop. Med. Parasit, 90, 225–241.
Rubio, J.L., & Bochet, E. (1998). Desertification indicators as diagnosis criteria for desertification risk assessment in Europe. Journal of Arid Environments, 39, 113–120.
Saaty, T.L. (1977). A Scaling method for priorities in hierarchical structures. Journal of Mathematical Psychology, 15, 234–281.
Sanson, R.L., Pfeiffer, D.U., & Morris, R.S. (1991). Geographic Information Systems: their application in animal disease control. Revue Scientifique Et Technique OIE, 10, 179–195.
Soil Conservation Service (1972). Hydrology. Section 4, Part I, Watershed Planning, National Engineering Handbook. Washington D: CUS Department of Agriculture.
Sharrock, J.T.R. (1977). The Atlas of Breeding Birds in Britain and Ireland, Poyser, Birkhamstead.
Symeonakis, E., & Drake, N. (2004). Monitoring desertification and land degradation over sub-Saharan Africa. International Journal of Remote Sensing, 25(3), 573–592.
Thornes, J.B. (1985). The Ecology of Erosion. Geography, 70, 222–234.
Thornes, J.B. (1990). The Interaction of Erosional and Vegetation Dynamics in Land Degradation: Spatial Outcomes. In: J.B. Thornes (eds). Vegetation and Erosion. England: Wiley, Chichester, pp. 41–53.
Vale, G.A. (1988). Odour-bated targets to control tsetse flies, Glossina spp. (Diptera: Glossinidae), in Zimbabwe. B. Entomol. Res, 78, 31–50.
Vale, G.A., & Torr, S.J. (2005). User-friendly models of the costs and efficacy of tsetse control: application to sterilizing and insecticidal techniques. Medical and Veterinary Entomology, 19, 293–305.
Vine, M.F., Degnan, D., & Hanchette, C. (1997). Geographic information systems: Their use in environmental epidemiologic research. Environ. Health Persp, 105, 598–605.
Welburn, S.C., & Odiit, M. (2002). Recent developments in human African trypanosomiasis. Current Opinion in Infectious Diseases, 15, 477–484.
Wint, W., & Rogers, D. (1997). Ecozones, Farming Systems and Priority Areas for Tsetse Control in East, West and Southern Africa. Consultants' Report, FAO, Rome, pp. 44.
Zhang, X., Drake, N.A., Wainwright, J., & Mulligan, M. (1999). Comparison of slope estimates from low resolution DEMs: Scaling issues and a fractal method for their solution. Earth Surface Processes and Landforms, 24, 763–779.
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Symeonakis, E., Robinson, T. & Drake, N. GIS and multiple-criteria evaluation for the optimisation of tsetse fly eradication programmes. Environ Monit Assess 124, 89–103 (2007). https://doi.org/10.1007/s10661-006-9210-0
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DOI: https://doi.org/10.1007/s10661-006-9210-0