Predicting malaria seasons in Kenya using multitemporal meteorological satellite sensor data

Transactions of the Royal Society of Tropical Medicine and Hygiene

Volumn 92, Issue 1, 1998, Pages 12-20

  Hay, Simon I ^a   Snow, Robert W ^b,c   Rogers, David J ^a  

^a UNIVERSITY OF OXFORD   (United Kingdom)

^b KEMRI WELLCOME TRUST RESEARCH PROGRAMME   (Kenya)

^c UNIVERSITY OF OXFORD   (United Kingdom)

Author keywords

Kenya; Malaria; Plasmodium falciparum; Prediction; Remote sensing; Satellite data; Seasonality

Indexed keywords

RAIN;

ARTICLE; CHILD; DISEASE TRANSMISSION; ENVIRONMENTAL TEMPERATURE; FOURIER ANALYSIS; HOSPITAL ADMISSION; HUMAN; INFANT; INFORMATION PROCESSING; KENYA; MAJOR CLINICAL STUDY; MALARIA; MALARIA CONTROL; METEOROLOGY; PLASMODIUM FALCIPARUM; PREDICTION; REGRESSION ANALYSIS; REMOTE SENSING; SEASONAL VARIATION; TELECOMMUNICATION; VEGETATION;

PLASMODIUM FALCIPARUM; PROTOZOA;

EID: 0031931561     PISSN: 00359203     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0035-9203(98)90936-1     Document Type: Article

References (59)

1. Agbu, P. A. & James, M. E. (1994). The NOAA/NASA Pathfinder AVHRR land data set user's manual. Greenbelt, Maryland: Goddard Distributed Active Archive Center.
2. Anonymous (1994). Information on meteorological and other environmental satellites, 3rd edition. Geneva: World Meteorological Organization, publication no. 411.
3. Beck, L. R., Rodriguez, M. H., Dister, S.W., Rodriguez, A. D., Rejmankova, E., Ulloa, A., Meza, R. A., Roberts, D. R., Paris, J. F., Spanner, M. A., Washino, R. K., Hacker, C. & Legters, L. J. (1994). Remote sensing as a landscape epidemiologic tool to identify villages at high risk for malaria transmission. American Journal of Tropical Medicine and Hygiene, 51, 271-280.
4. Beck, L. R., Rodriguez, M. H., Dister, S.W., Rodriguez, A. D., Washino, R. K., Roberts, D. R. & Spanner, M. A. (1997). Assessment of a remote sensing-based model for predicting malaria transmission risk in villages of Chiapas, Mexico. American Journal of Tropical Medicine and Hygiene, 56, 99-106.
5. Binka, F. N., Morris, S. S., Ross, D. A., Arthur, P. & Aryeetey, M. R. (1994). Patterns of malaria morbidity and mortality in children in northern Ghana. Transactions of the Royal Society of Tropical Medicine and Hygiene, 88, 381-385.
6. Bouvier, P., Breslow, N., Ogobara, D., Robert, C. F., Picquet, M., Mauris, A., Dolo, A., Dembele, H. K., Delley, V. & Rougemont, A. (1997). Seasonality, malaria and impact of prophylaxis in a West African village. II: Effect on birth weight. American Journal of Tropical Medicine and Hygiene, 56, 384-389.
7. Boyd, D. S. & Curran, P. J. (in press). Using remote sensing to reduce uncertainties in the global carbon budget: the potential of radiation acquired in the middle infrared wavelengths. Remote Sensing Reviews.
8. Boyd, D. S., Foody, G. M., Curran, P. J., Lucas, R. M. & Honzak, M. (1996). An assessment of radiance in Landsat TM middle and thermal infrared wavebands for the detection of tropical forest regeneraiton. International Journal of Remote Sensing, 17, 249-261.
9. Brewster, D. R. & Greenwood, B. M. (1993). Seasonal variation of paediatric diseases in The Gambia, West Africa. Annals of Tropical Paediatrics, 13, 133-146.
10. Butler, R. J. (1959). Atlas of Kenya: a comprehensive series of new and authenticated maps prepared from the national survey and other governmental sources with gazetteer and notes on pronunciation and spelling, 1st edition. Nairobi: The Survey of Kenya.
11. Cooper, D. R. & Asrar, G. (1989). Evaluating atmospheric correction models for retrieving surface temperatures from the AVHRR over a tallgrass prairie. Remote Sensing of Enviroment, 27, 93-102.
12. Cracknell, A. P. (1997). The Advanced Very High Resolution Radiometer. London: Taylor & Francis.
13. Dietz, K. (1988). Mathematical models for transmission and control of malaria. In: Malaria: Principles and Practice of Malariology, volume 2, Wernsdorfer, W. H. & McGregor, I. (editors). London: Churchill Livingstone, pp. 1091-1133.
14. Dugdale, G., McDougall, V. & Thorne, V. (1995). The TAMSAT method for estimating rainfall over Africa and its implications. In: RSS95: Remote Sensing in Action. Proceedings of the 21st Annual Conference of the Remote Sensing Society. Nottingham: The Remote Sensing Society, pp. 773-780.
15. Garnham, P. C. C. (1948). The incidence of malaria at high altitudes. Journal of the National Malaria Society, 7, 275-284.
16. Gazin, P., Robert, V., Cot, M., Simon, J., Halna, J. M., Darriet, F., Legrand, D., Carnevale, P. & Ambroise-Thomas, P. (1988). Le paludisme dans l'Oudalan, région Sahelienne du Burkina Faso. Annales de la Société Belge de Médecine Tropicale, 68, 255-264.
17. Greenwood, B. M. & Pickering, H. (1993). A malaria control trial using insecticide-treated bed nets and targeted chemoprophylaxis in a rural area of The Gambia, West Africa. A review of the epidemiology and control of malaria in The Gambia, West Africa. Transactions of the Royal Society of Tropical Medicine and Hygiene, 87, supplement 2, S3-S11.
18. Greenwood, B. M., Bradley, A. K., Greenwood, A. M., Byass, P., Jammeh, K., Marsh, K., Tullock, S., Oldfield, F. J. S. & Hayes, R. (1987). Mortality and morbidity from malaria among children in a rural area of The Gambia, West Africa. Transactions of the Royal Society of Tropical Medicine and Hygiene, 81, 478-486.
19. Greenwood, B. M., Bradley, A. K., Byass, P., Greenwood, A. M., Snow, R. W., Hayes, R. J. & N'Jie, A. B. H. (1988). Comparison of two strategies for control of malaria within a primary health care programme in The Gambia. Lancet, i, 1121-1127.
20. Hay, S. I. (1996). An investigation of the utility of remotely sensed meteorological satellite data for predicting the distribution and abundance of the tsetse fly (Diptera: Glossinidae). University of Oxford, DPhil thesis.
21. Hay, S. I. (1997). Remote sensing and disease control: past, present and future. Transactions of the Royal Society of Tropical Medicine and Hygiene, 91, 105-106.
22. Hay, S. I., Tucker, C. J., Rogers, D. J. & Packer, M. J. (1996). Remotely sensed surrogates of meteorological data for the study of the distribution and abundance of arthropod vectors of disease. Annals of Tropical Medicine and Parasitology, 90, 1-19.
23. Hay, S. I., Packer, M. J. & Rogers, D. J. (1997). The impact of remote sensing on the study and control of invertebrate intermediate hosts and vectors for disease. International Journal of Remote Sensing, 18, 2899-2930.
24. Holben, B. N. (1986). Characteristics of maximum value composite images from temporal AVHRR data. International Journal of Remote Sensing, 7, 1417-1434.
25. James, M. E. & Kalluri, S. N. V. (1994). The pathfinder AVHRR land data set - an improved coarse resolution data set for terrestrial monitoring. International Journal of Remote Sensing, 15, 3347-3363.
26. Justice, C. O., Townshend, J. R. G., Holben, B. N. & Tucker, C. J. (1985). Analysis of the phenology of global vegetation using meteorological satellite data. International Journal of Remote Sensing, 6, 1271-1318.
27. Kerber, A. G. & Schutt, J. B. (1986). Utility of AVHRR channel 3 and 4 in land-cover mapping. Photogrammetric Engineering and Remote Sensing, 52, 1877-1883.
28. Kidwell, K. B. (1995). NOAA polar orbiter data users'guide (TI-ROS-N, NOAA-6, NOAA-7, NOAA-8, NOAA-9, NOAA-10, NOAA-11, NOAA-12, NOAA-13 and NOAA-14). Washington, DC: National Oceanic and Atmospheric Administration.
29. Lambin, E. F. & Ehrlich, D. (1995). Combining vegetation indexes and surface temperature for land-cover mapping at broad spatial scales. International Journal of Remote Sensing, 16, 573-579.
30. Linthicum, K. J., Bailey, C. L., Glyn Davies, F. & Tucker, C. J. (1987). Detection of Rift Valley fever viral activity in Kenya by satellite remote sensing imagery. Science, 235, 1656-1659.
31. Muir, D. A. (1988). Anopheline mosquitoes: vector reproduction, life-cycle and biotype. In: Malaria: Principles and Practice of Malariology, volume 2, Wernsdorfer, W. H. & McGregor, I. (editors). London: Churchill Livingstone, pp. 431-451.
32. Omumbo, J., Ouma, J., Rapouda, B., Craig, M. H., Le Sueur, D. & Snow, R. W. (in press). Mapping malaria transmission intensity using geographical information systems (GIS): an example from Kenya. Annals of Tropical Medicine and Parasitology.
33. Myneni, R. B., Maggion, S., Iaquinto, J., Privette, J. L., Gobron, N., Pinty, B., Kimes, D. S., Verstraete, M. M. & Williams, D. L. (1995). Optical remote sensing of vegetation: modeling, caveats, and algorithms. Remote Sensing of Environment, 51, 169-188.
34. Pope, K. O., Rejmankova, E., Savage, H. M., Arredondo-Jimenez, J. I., Rodriguez, M. H. & Roberts, D. R. (1994). Remote sensing of tropical wetlands for malaria control in Chiapas, Mexico. Ecological Applications, 4, 81-90.
35. Price, J. C. (1984). Land surface temperature measurements from the split window channels of the NOAA 7 advanced very high resolution radiometer. Journal of Geophysical Research, 89, 7231-7237.
36. Rejmankova, E., Roberts, D. R., Pawley, A., Manguin, S. & Polanco, J. (1995). Predictions of adult Anopheles albimanus densities in villages based on distances to remotely sensed larval habitats. American Journal of Tropical Medicine and Hygiene, 53, 482-488.
37. Roberts, D. R., Paris, J. F., Manguin, S., Harbach, R. E., Woodruff, R., Rejmankova, E., Polanco, J., Wullschleger, B. & Legters, L. J. (1996). Predictions of malaria vector distribution in Belize based on multispectral satellite data. American Journal of Tropical Medicine and Hygiene, 54, 304-308.
38. Rogers, D. J. (1991). Satellite imagery, tsetse and trypanosomiasis in Africa. Preventive Veterinary Medicine, 11, 201-220.
39. Rogers, D. J. & Williams, B. G. (1993). Monitoring trypanosomiasis in space and time. Parasitology, 106, S77-S92.
40. Rogers, D. J. & Williams, B. G. (1994). Tsetse distribution in Africa: seeing the wood and the trees. In: Large-scale Ecology and Conservation Biology, Edwards, P. J., May, R. M. & Webb, N. R. (editors). Oxford: Blackwell Scientific Publications, pp. 249-273.
41. 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. Annals of Tropical Medicine and Parasitology, 90, 225-241.
42. Schmetz, J., Klaes, D. & Rattenborg, M. (1995). Meteorological products from current and future EUMETSAT satellite systems. In: Proceedings of the 1995 Meteorological Satellite Data Users' Conference. Darmstadt: EUMETSAT, publication no. EUM P 17, pp. 233-240.
43. Sellers, P. J. (1985). Canopy reflectance, photosynthesis and transpiration. International Journal of Remote Sensing, 6, 1335-1372.
44. Slutsker, L., Taylor, T. E., Wirima, J. J. & Steketee, R. W. (1994). In-hospital morbidity and mortality due to malariaassociated severe anaemia in two areas of Malawi with different patterns of malaria infection. Transactions of the Royal Society of Tropical Medicine and Hygiene, 88, 548-551.
45. Smith, T., Charlwood, J. D., Kihonda, J., Mwankuyse, S., Billingsley, P., Meuwissen, J., Lyimo, E., Takken, W., Teuscher, T. & Tanner, M. (1993). Absence of seasonal variation in malaria parasitaemia in an area of intense seasonal transmission. Acta Tropica, 54, 55-72.
46. Snijders, F. L. (1991). Rainfall monitoring based on Meteosat data - a comparison of techniques applied to the western Sahel. International Journal of Remote Sensing, 12, 1331-1347.
47. Snow, R. W., Armstrong-Schellenberg, J. R. M., Peshu, N., Forster, D., Newton, C. R. J. C., Winstanley, P. A., Mwangi, I., Waruiru, C., Warn, P. A., Newbold, C. & Marsh, K. (1993). Periodicity and space-time clustering of severe childhood malaria on the coast of Kenya. Transactions of the Royal Society of Tropical Medicine and Hygiene, 87, 386-390.
48. Snow, R. W., Marsh, K. & le Sueur, D. (1996). The need for maps of transmission intensity to guide malaria control in Africa. Parasitology Today, 12, 455-457.
49. Snow, R. W., Omumbo, J. A., Lowe, B., Molyneux, S. M., Obiero, J. O., Palmer, A., Weber, M. W., Finder, M., Nahlen, B., Obonyo, C., Newbold, C., Gupta, S. & Marsh, K. (1997). Relation between severe malaria morbidity in children and level of Plasmodium falciparum transmission in Africa. Lancet, 349, 1650-1654.
50. Stowe, L. L., McClain, E. P., Carey, R., Pellegrino, P., Gutman, G. G., Davia, P., Long, C. & Hart, S. (1991). Global distribution of cloud cover derived from NOAA/AVHRR operational satellite data. Advances in Space Research, 11, 51-54.
51. Sugita, M. & Brutasaert, W. (1993). Comparison of land surface temperatures derived from satellite observations with ground truth during FIFE. International Journal of Remote Sensing, 14, 1659-1676.
52. Thomson, M. C., Connor, S. J., Milligan, P. J. M. & Flasse, S. P. (1996). The ecology of malaria - as seen from Earth observation satellites. Annals of Tropical Medicine and Parasitology, 90, 243-264.
53. Thomson, M. C., Connor, S. J., Milligan, P. & Flasse, S. P. (1997). Mapping malaria risk in Africa: what can satellite data contribute? Parasitology Today, 13, 313-318.
54. Tucker, C. J. (1979). Red and photographic infrared linear combinations for monitoring vegetation. Remote Sensing of Environment, 8, 127-150.
55. Tucker, C. J. & Sellers, P. J. (1986). Satellite remote sensing of primary production. International Journal of Remote Sensing, 7, 1395-1416.
56. Tucker, C. J., Townshend, J. R. G. & Goff,T. E. (1985a). African land-cover classification using satellite data. Science, 227, 369-375.
57. Tucker, C. J., Vanpraet, C. L., Sharman, M. J. & Van Ittersum, G. (1985b). Satellite remote sensing of total herbaceous biomass production in the Senegalese Sahel: 1980-1984. Remote Sensing of Environment, 17, 233-249.
58. Wagner, V. E., Hill-Rowley, R., Narlock, S. A. & Newson, H. D. (1979). Remote sensing: a rapid and accurate method of data acquisition for a newly formed mosquito control district. Mosquito News, 39, 283-287.
59. Wood, B. L., Beck, L. R., Washino, R. K., Hibbard, K. A. & Salute, J. S. (1992). Estimating high mosquito-producing rice fields using spectral and spatial data. International Journal of Remote Sensing, 13, 2813-2826.