Using Remote Sensing and GIS to integrate various environmental factors into a predictive malaria transmission risks model in rural Burkina Faso

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 6366, Issue , 2006, Pages

  Ngom, Roland ^a   Siegmund, Alexander ^a  

^a UNIVERSITY OF EDUCATION HEIDELBERG   (Germany)

Author keywords

Environment; GIS; Malaria transmission; Medical geography; Remote sensing

Indexed keywords

DATA ACQUISITION; EPIDEMIOLOGY; GEOGRAPHIC INFORMATION SYSTEMS; MALARIA CONTROL; OPTICAL RESOLVING POWER; PHYSIOLOGICAL MODELS;

BIOLOGICAL DYNAMISM; MALARIA TRANSMISSION; MEDICAL GEOGRAPHY; SPATIAL AUTOCORRELATION;

REMOTE SENSING;

EID: 33751425190     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.690609     Document Type: Conference Paper

References (41)

1. Chinery, W.A, Effects of ecological changes on the malaria vector Anopheles funestus and the Anopheles gambiae complex of mosquitoes in Accra, Ghana. -J. Trop. Med. Hyg. 87: 75-81, 1984.
2. Christian Kaufmann and Hans Briegel, Flight performance of the malaria vectors Anopheles gambiae and anophele atroparvus.- Journal of vector ecology 29(1): 140-153, 2004.
3. Curran, P.J and Williamson, H.D, The accuracy of ground data used in remote sensing investigations. In international Journal Of Remote Sensing 6. 1637-1651, 1985
4. David, J.Rogers, Sarah, E. Randolph, Robert, W.Snow, Simon, I. Hay, Satellite imagery in the study and forescast of malaria. Nature 415: 710-715, 2002.
5. Epstein, P. R.: Climate and health. In: Science. 285: 347-348, 1999.
6. Githeko, A.K., Adungo, N.I. et al, Some observations on the biting behaviour of Anopheles gambiae s.s., Anopheles arabiensis, and Anopheles funestus and their implication for malaria control.- Experimental parasitology. 82(3): 306, 1996.
7. Greenwood, B., Bradley, A., Greenwood, A., Byass, P., Jammeh, K., Marsh, S., Tulloch, F., Oldfield, F., and Hayes, R, Morbidity from malaria among children in a rural area of the Gambia. -Trans. R. Soc.Trop. Med. Hyg. 81: 478-486, 1987.
8. Hay, S.I., Snow,R.W., Rogers D.J. Predicting malaria seasons in Kenya using multitemporal meteorological Satellite -Trans. R. Soc.Trop. Med. Hyg. 92 (1): 12-20, 1998.
9. Hay, S.I., Omumbo, J.A, Craig, M.H. and Snow, R.W. Earth observation, Geographic Information Systems and Plasmodium Falciparum Malaria in Sub-Saharan Africa- Remote Sensing and Geographical Information System in epidemiology.Volume 47. Oxford.UK, 173-215, 2000.
10. McKenzie FE, Bessert WH A target for intervention in Plasmodium falciparum infections. Am J Trop. Med. Hyg. 58(6):763-767,1998.
11. Kim, A., Lindblade, Edward, D., Walker, Ambrose W., Onapa, J.K. Mark, Wilson, L. Land use change alters malaria transmission parameters by modifying temperature in a highland are of Uganda. Tropical Medicine and International Health. 5: 263-274, 2000.
12. Kitron, U., Pener, H., Costin, C., Orshan, L., Greenberg, Z., Shalom, U. Geographic information system in malaria surveillance: mosquito breeding and imported cases in Israel, 1992.-Am. J. Trop. Med. Hyg. 1994 May. 50(5): 550-556, 1994
13. Kitron, U, Landscape ecology and epidemiology of vector-borne diseases: tools for special analysis, J Med Entomol 35 (4): 435-445, 1998.
14. Klienschmidt, I., Bagayogo, M., Clarke, G.P.Y., et al, A spatial statistical approach to malaria mapping.-International Journal of Epidemiology. 29: 355-361 2000.
15. Klienschmidt, I, Sharp, B.L., Clarke, G.P.Y., et al, Use of generized linear mixed models in the spatial analysis of small-area malaria incidence rates in kwazulu natal, South Africa.-American Journal of Epidemiology. 153 (12): 1213-1221, 2002.
16. Klienschmidt, I, Sharp, B.L., Mueller, I., et al, Rise malaria incidence rates in South Africa: the small-area spatial analysis of variation in time trends. -American Journal of Epidemiology. 153 (12) 257-264, 2002.
17. Lines,-J-D; Wilkes,-T-J; Lyimo,-E-O, Human malaria infectiousness measured by age-specific sporozoite rates in Anopheles gambiae in Tanzania.-Parasitology. 102 Pt 2: 167-177, 1991.
18. Lindsay and Birley Climate change and malaria transmission. -Ann Trop. Med. Parasitol. 90: 573-588, 1996.
19. Lindsay SW, Bodker R, Malima R, Msangeni HA, Kisinza W. Effect of 1997-98 El Nino on highland malaria in Tanzania. -Lancet 18. 355 (9208): 989-990, 2000.
20. Lindsay S.W & Martens W.J.M Martens, Malaria in the African highlands: past, present and future.-Bulletin of the world health Organisation, 1996, 76(1):33-45, 1996.
21. Loevinsohn, M.E, Climatic warming and increased malaria incidence in Rwanda.-Lancet. 343 (8899): 714-718, 1994.
22. Lu Loslier, Geographical Information System (GIS) from health perspectives in GIS for Health and Environment: Proceedings of an International Workshop held in Colombo, Sri Lanka, 5-10 September 1994.
23. L. I. Prokopenko, N. N. Dukhanina, Madeleine, C. Thomson, Stephen, J., Connor, U. et al, Predicting malaria infection in Gambia children from satellite data and bed net use surveys: The importance of spatial correlation in the interpretation of results. -Am. J. Trop. Med. Hyg. 61(1): 2-8, 1999.
24. Manga L, Fondjo E, Carnevale P, Robert V.: Importance of low dispersion of Anopheles gambiae (Diptera: Culicidae) on malaria transmission in hilly towns in south Cameroon. -J.Med Entomol. 30: 936-938, 1993.
25. Minakawa,-N; Mutero,-C-M; Githure,-J-I; Beier,-J-C; Yan,-G, Spatial distribution and habitat characterization of anopheline mosquito larvae in Western Kenya.- Am-J-Trop-Med-Hyg. 1999 Dec; 61(6): 1010-1016, 1999.
26. Ngom, R, Building a Geomedical Information Sytem (GeoMedIS) for antimalarial campaigns in Yaoundé. In Naturwissenchafter technik Geselschaft Kolloquium. Pädagogische Hochschule Heidelberg, 2005.
27. Ngom R., Siegmund, A. Using GIS and Remote Sensing to Incorporate Environmental Factors in Modelling Malaria Transmission in under five in Rural Burkina Faso. Balance sheet of a multidisciplinary study. In: Zentralblatt für Geologie und Paläontologie (to be published),2005.
28. Ngom, R, L'offre de soins en région centre (France). La solidarité à l'épreuve des logiques marchandes: Incidence spatiale locale et enjeux territoriaux. In: Mémoire de DEA Université Paris X. 2004.
29. Ngom, R, Elaboration d'un modèle conceptuel de données. In: Rapport de stage de DESS SIG, Université de Caen, 2002.
30. Ngom, R, Contribution d'un SIG à l'étude et à la gestion d'une zone humide: les marais septentrionaux de la Souche (Aisne, France). In: Mémoire de Maîtrise Université d'Orléans, 2001.
31. Onori, E., Beales, P. and Gilles, H, From malaria eradication to malaria control: the past, the present and the future. In Gilles, H., and Warrel, D. (Eds) Bruce-Chwatt's Essential Malariology; Boston: Little, Brown and Company. 267-282, 1993.
32. Onumbu, J., Ouma, Rapuoda, B., Craig, M.H., le Sueur, D., Snow, R.W, Mapping malaria transmission intensity using geographical information systems (GIS): an example from Kenya, Ann Trop Med Parasitol 92 (3): 351, 1998.
33. Patz, J.A. Strzepek, K., Lele, S., Hedden, M., Greene, S., Noden, B., Hay, S.I., Kalkstein, L., and Beier, J.C., Predicting key malaria transmission factors, biting and entomological inoculation rates, using modeled soil moisture in Kenya.-Tropical Medicine and International Health. 3: 818-827, 1998.
34. Pope, K.O., Rejmankova, E., Savage, H.M., Arredondo-Jimenez, J.I., Rodriguez, M.H., Roberts, D.R, Remote sensing of tropical wetlands for malaria control in Chiapas, Mexico. Ecol. Appl. 4(1):81-90, 1994.
35. Richard Carter, Kamini, N., Mendis, and Donald Robert.: Spatial targeting of interventions against malaria.-Bulletin of the World Health organisation, 78(12) 2000.
36. Roberts, D.R., Rodriguez, M.H, The environment, remote sensing and malaria control, Ann NY Acad Sci Dec 15. 740: 396-402, 1994.
37. Rossi, P., Belli, A., Mancini, L., Sabatinelli, G., Enquete entomologique longitudinale sur la transmission du paludisme a Ouagadougou (Burkina Faso).-Parassitologia 1986. 28: 1-15, 1986.
38. Scholten, H.J. de Lepper, M.J.C. The benefits of the application of geographical information systems in public and environmental health.-WHO Statistical Quarterly, 44(3), 1991.
39. Sharma, V.P, Srivastava, A. Role of geographic information system in malaria control. Indian J Med Res. 106: 198-204,1997.
40. Siegmund. A. Das Klima der Baar - regionalklimatische Studien einer Hochmulde zwischen Schwarzwald und Schwäbischer Mlb. In: Mannheimer Geogr. Arbeiten. 51 Mannheim, 1999.
41. Yé Yazoumé, Incorporating Environmental factors in Modelling Malaria Transmission in under five children in Rural Burkina Faso. Doctorate Thesis University of Heidelberg. 209 page, 2006.