Local topographic wetness indices predict household malaria risk better than land-use and land-cover in the western Kenya highlands

Malaria Journal

Volumn 9, Issue 1, 2010, Pages

  Cohen, Justin M ^a   Ernst, Kacey C ^a   Lindblade, Kim A ^b   Vulule, John M ^c   John, Chandy C ^d   Wilson, Mark L ^a  

^a UNIVERSITY OF MICHIGAN   (United States)

^b NATIONAL CENTER FOR EMERGING AND ZOONOTIC INFECTIOUS DISEASES   (United States)

^c KENYA MEDICAL RESEARCH INSTITUTE   (Kenya)

^d UNIVERSITY OF MINNESOTA MEDICAL SCHOOL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; CONTROLLED STUDY; DISEASE SURVEILLANCE; ENVIRONMENTAL FACTOR; GEOGRAPHIC DISTRIBUTION; HOUSEHOLD; HUMAN; KENYA; LAND USE; MAJOR CLINICAL STUDY; MALARIA; PREDICTION; RISK FACTOR; SURFACE PROPERTY; TOPOGRAPHY; URBAN AREA; CLIMATE; ENVIRONMENT; FAMILY SIZE; GEOGRAPHY;

WATER;

CLIMATE; ENVIRONMENT; FAMILY CHARACTERISTICS; GEOGRAPHY; HUMANS; KENYA; MALARIA; RISK FACTORS; WATER;

EID: 78149495162     PISSN: None     EISSN: 14752875     Source Type: Journal    
DOI: 10.1186/1475-2875-9-328     Document Type: Article

References (29)

1. Malaria elimination: a field manual for low and moderate endemic countries. WHO, Geneva: World Health Organization 2007
2. Spatial targeting of interventions against malaria. R Carter C Mendis DR Roberts, Bull World Health Organ 2000 78 1401 1411 11196487
3. Spatial clustering of malaria and associated risk factors during an epidemic in a highland area of western Kenya. S Brooker S Clarke JK Njagi S Polack B Mugo B Estambale E Muchiri P Magnussen J Cox, Trop Med Int Health 2004 9 757 766 10.1111/j.1365-3156.2004.01272.x 15228485
4. From predicting mosquito habitat to malaria seasons using remotely sensed data: practice, problems and perspectives. SI Hay RW Snow DJ Rogers, Parasitol Today 1998 14 306 313 10.1016/S0169-4758(98)01285-X 17040796
5. The global spread of malaria in a future, warmer world. DJ Rogers SE Randolph, Science 2000 289 1763 1766 10.1126/science.289.5478.391b 10976072
6. The economic burden of malaria. JL Gallup JD Sachs, Am J Trop Med Hyg 2001 64 85 96 11425181
7. Topography-derived wetness indices are associated with household-level malaria risk in two communities in the western Kenyan highlands. JM Cohen KC Ernst KA Lindblade JM Vulule CC John ML Wilson, Malar J 2008 7 40 10.1186/1475-2875-7-40 18312633
8. Survivorship of Anopheles gambiae sensu stricto (Diptera: Culicidae) larvae in western Kenya highland forest. N Tuno W Okeka N Minakawa M Takagi G Yan, J Med Entomol 2005 42 270 277 10.1603/0022-2585(2005)042[0270:SOAGSS]2.0. CO;2 15962774
9. Land use change alters malaria transmission parameters by modifying temperature in a highland area of Uganda. KA Lindblade ED Walker AW Onapa J Katungu ML Wilson, Trop Med Int Health 2000 5 263 274 10.1046/j.1365-3156.2000. 00551.x 10810021
10. Agricultural colonization and malaria on the Amazon frontier. BH Singer MC de Castro, Ann N Y Acad Sci 2001 954 184 222 10.1111/j.1749-6632.2001. tb02753.x 11797857
11. Impact of irrigation on malaria in Africa: paddies paradox. JN Ijumba SW Lindsay, Med Vet Entomol 2001 15 1 11 10.1046/j.1365-2915.2001.00279.x 11297093
12. Spatial distribution of anopheline larval habitats in Western Kenyan highlands: effects of land cover types and topography. N Minakawa S Munga F Atieli E Mushinzimana G Zhou AK Githeko G Yan, Am J Trop Med Hyg 2005 73 157 165 16014851
13. Association between land cover and habitat productivity of malaria vectors in western Kenyan highlands. S Munga N Minakawa G Zhou E Mushinzimana OOJ Barrack AK Githeko G Yan, Am J Trop Med Hyg 2006 74 69 75 16407348
14. Spatial distribution of anopheline larval habitats in western Kenyan highlands: effects of land cover types and topography. N Minakawa S Munga F Atieli E Mushinzimana G Zhou AK Githeko G Yan, Am J Trop Med Hyg 2005 73 157 165 16014851
15. Malaria hotspot areas in a highland Kenya site are consistent in epidemic and non-epidemic years and are associated with ecological factors. KC Ernst SO Adoka DO Kowuor ML Wilson CC John, Malar J 2006 5 78 10.1186/1475-2875-5-78 16970824
16. BIOTA Subproject E02. http://www.dlr.de/biota-east/
17. SAGA: A system for automated geoscientific analysess. http://www.saga-gis.org/
18. A new method for determination of flow directions and upslope areas in grid digital elevation models. DG Tarboton, Water Resour Res 1997 33 309 319 10.1029/96WR03137
19. Using regression models for prediction: shrinkage and regression to the mean. JB Copas, Stat Methods Med Res 1997 6 167 183 10.1191/096228097667367976 9261914
20. Data splitting. RR Picard KN Berk, Amer Statistician 1990 44 140 147 10.2307/2684155
21. Cross-validation of regression models. RR Picard RD Cook, J Amer Statistical Assoc 1984 79 575 583 10.2307/2288403
22. Predicting Global Fund grant disbursements for procurement of artemisinin-based combination therapies. JM Cohen I Singh ME O'Brien, Malar J 2008 7 200 10.1186/1475-2875-7-200 18831742
23. Topography and malaria transmission heterogeneity in western Kenya highlands: prospects for focal vector control. AK Githeko JM Ayisi PK Odada FK Atieli BA Ndenga JI Githure G Yan, Malar J 2006 5 107 10.1186/1475-2875-5-107 17096835
24. Habitat characteristics of Anopheles gambiae s.s. larvae in a Kenyan highland. N Minakawa G Sonye M Mogi G Yan, Med Vet Entomol 2004 18 301 305 10.1111/j.0269-283X.2004.00503.x 15347399
25. Impact of deforestation and agricultural development on anopheline ecology and malaria epidemiology. J Yasuoka R Levins, Am J Trop Med Hyg 2007 76 450 460 17360867
26. Malaria transmission risk variations derived from different agricultural practices in an irrigated area of northern Tanzania. JN Ijumba FW Mosha SW Lindsay, Med Vet Entomol 2002 16 28 38 10.1046/j.0269-283x.2002.00337.x 11963979
27. On the calculation of the topographic wetness index: evaluation of different methods based on field observations. R Sorensen U Zinko J Seibert, Hydrol Earth Sys Sci Discuss 2005 2 1807 1834 10.5194/hessd-2-1807-2005
28. Results and implications of a study of fifteen years of satellite image classification experiments. GG Wilkinson, IEEE Transactions on Geoscience and Remote Sensing 2005 43 433 440 10.1109/TGRS.2004.837325 (Pubitemid 40320266)
29. Earth observation, geographic information systems and Plasmodium falciparum malaria in sub-Saharan Africa. SI Hay JA Omumbo MH Craig RW Snow, Adv Parasitol 2000 47 173 215 full-text 10997207