Remote sensing-based time series models for malaria early warning in the highlands of Ethiopia

Malaria Journal

Volumn 11, Issue , 2012, Pages

  Midekisa, Alemayehu ^a   Senay, Gabriel ^b   Henebry, Geoffrey M ^a   Semuniguse, Paulos ^c   Wimberly, Michael C ^a  

^a SOUTH DAKOTA STATE UNIVERSITY   (United States)

^b U S GEOLOGICAL SURVEY   (United States)

^c Amhara Development Association   (Ethiopia)

Author keywords

Climate; Early detection; Early warning; Forecast; Malaria; Remote sensing; Time series model

Indexed keywords

RAIN;

ARTICLE; CONTROLLED STUDY; ENVIRONMENTAL FACTOR; ENVIRONMENTAL TEMPERATURE; ETHIOPIA; EVAPOTRANSPIRATION; HUMAN; INFECTION RISK; MALARIA CONTROL; MODEL; PREDICTION; SEASONAL AUTOREGRESSIVE INTEGRATED MOVING AVERAGE MODEL; SEASONAL VARIATION; VEGETATION;

ETHIOPIA; HUMANS; MALARIA; PLANT DEVELOPMENT; RAIN; REMOTE SENSING TECHNOLOGY; RISK ASSESSMENT; TEMPERATURE;

EID: 84860797879     PISSN: None     EISSN: 14752875     Source Type: Journal    
DOI: 10.1186/1475-2875-11-165     Document Type: Article

References (39)

1. Federal Democratic Republic of Ethiopia, Ministry of Health, Ethiopia National Malaria Indicator Survey 2007 Addis Ababa 2008
2. Malaria indicator survey 2007, Ethiopia: coverage and use of major malaria prevention and control interventions. Jima D, Getachew A, Bilak H, Steketee RW, Emerson PM, Graves PM, Gebre T, Reithinger R, Hwang J, Survey EMI, Malar J 2010 9 58 10.1186/1475-2875-9-58 20178654
3. Self-treatment of malaria in rural communities, Butajira, southern Ethiopia. Deressa W, Ali A, Enqusellassie F, Bull World Health Organ 2003 81 261 268 12764492 (Pubitemid 36542142)
4. Individual, household and environmental risk factors for malaria infection in Amhara, Oromia and SNNP regions of Ethiopia. Graves PM, Richards FO, Ngondi J, Emerson PM, Shargie EB, Endeshaw T, Ceccato P, Ejigsemahu Y, Mosher AW, Hailemariam A, Zerihun M, Teferi T, Ayele B, Mesele A, Yohannes G, Tilahun A, Gebre T, Trans R Soc Trop Med Hyg 2009 103 1211 1220 10.1016/j.trstmh.2008.11.016 19144366
5. Weather-based prediction of Plasmodium falciparum malaria in epidemic-prone regions of Ethiopia I. Patterns of lagged weather effects reflect biological mechanisms. Teklehaimanot HD, Lipsitch M, Teklehaimanot A, Schwartz J, Malar J 2004 3 41 10.1186/1475-2875-3-41 15541174 (Pubitemid 40117664)
6. Malaria early warning in Kenya and seasonal climate forecasts. Thomson M, Indeje M, Connor S, Dilley M, Ward N, Lancet 2003 362 580 580 12932404
7. WHO, Malaria Early Warning Systems, Concepts, Indicators and patterns. A Framework for Field Research in Africa WHO, Geneva 2001
8. Earth observation, geographic information systems and Plasmodium falciparum malaria in sub-Saharan Africa. Hay SI, Omumbo JA, Craig MH, Snow RW, Adv Parasitol 2000 47 173 215 10997207
9. Towards malaria risk prediction in Afghanistan using remote sensing. Adimi F, Soebiyanto RP, Safi N, Kiang R, Malar J 2010 9 125 10.1186/1475-2875-9- 125 20465824
10. Potential impact of global climate-change on malaria risk. Martens WJM, Niessen LW, Rotmans J, Jetten TH, Mcmichael AJ, Environ Health Perspect 1995 103 458 464 10.1289/ehp.95103458 7656875
11. The development of malaria early warning systems for Africa. Thomson MC, Connor SJ, Trends Parasitol 2001 17 438 445 10.1016/S1471-4922(01)02077-3 11530356 (Pubitemid 32800661)
12. Environmental information systems in malaria risk mapping and epidemic forecasting. Connor SJ, Thomson MC, Flasse SP, Perryman AH, Disasters 1998 22 39 56 10.1111/1467-7717.00074 9549172
13. Effects of meteorological factors on epidemic malaria in Ethiopia: a statistical modelling approach based on theoretical reasoning. Abeku TA, De Vlas SJ, Borsboom GJJM, Tadege A, Gebreyesus Y, Gebreyohannes H, Alamirew D, Seifu A, Nagelkerke NJD, Habbema JDF, Parasitology 2004 128 585 593 10.1017/S0031182004005013 15206460 (Pubitemid 38789269)
14. Association between climate variability and malaria epidemics in the East African highlands. Zhou GF, Minakawa N, Githeko AK, Yan GY, Proc Natl Acad Sci USA 2004 101 2375 2380 10.1073/pnas.0308714100 14983017 (Pubitemid 38269319)
15. Meteorologic influences on Plasmodium falciparum malaria in the highland tea estates of Kericho, western Kenya. Shanks GD, Hay SI, Stern DI, Biomndo K, Snow RW, Emerg Infect Dis 2002 8 1404 1408 10.3201/eid0812.020077 12498655 (Pubitemid 36008776)
16. Forecasting malaria incidence from historical morbidity patterns in epidemic-prone areas of Ethiopia: a simple seasonal adjustment method performs best. Abeku TA, de Vlas SJ, Borsboom G, Teklehaimanot A, Kebede A, Olana D, van Oortmarssen GJ, Habbema JDF, Trop Med Int Health 2002 7 851 857 10.1046/j.1365-3156.2002.00924.x 12358620 (Pubitemid 35205370)
17. Developing a malaria early warning system for Ethiopia. Senay G, Verdin J, Proceedings of theTwenty-Fifth Annual ESRI International User Conference: 25-29 July 2005 San Diego, California
18. Validation of satellite rainfall products over East Africa's complex topography. Dinku T, Ceccato P, Grover-Kopec E, Lemma M, Connor SJ, Ropelewski CF, Int J Remote Sens 2007 28 1503 1526 10.1080/01431160600954688 (Pubitemid 46563290)
19. Terra and Aqua: new data for epidemiology and public health. Tatem AJ, Scott JG, Hay SI, Int J Appl Earth Obs 2004 6 33 46 10.1016/j.jag.2004.07.001 (Pubitemid 39347794)
20. Predicting malaria seasons in Kenya using multitemporal meteorological satellite sensor data. Hay SI, Snow RW, Rogers DJ, Trans R Soc Trop Med Hyg 1998 92 12 20 10.1016/S0035-9203(98)90936-1 9692138 (Pubitemid 28073716)
21. Satellite imagery in the study and forecast of malaria. Rogers DJ, Randolph SE, Snow RW, Hay SI, Nature 2002 415 710 715 10.1038/415710a 11832960 (Pubitemid 34136405)
22. Trigger events: Enviroclimatic coupling of ebola hemorrhagic fever outbreaks. Pinzon JE, Wilson JM, Tucker CJ, Arthur R, Jahrling PB, Formenty P, AmJTrop Med Hyg 2004 71 664 674 (Pubitemid 39601169)
23. Application of Geographical Information Systems and Remote Sensing technologies for assessing and monitoring malaria risk. Ceccato P, Connor S, Jeanne I, Thomson M, Parassitologia 2005 47 81 96 16044677 (Pubitemid 43186862)
24. Malaria stratification, climate, and epidemic early warning in Eritrea. Ceccato P, Ghebremeskel T, Jaiteh M, Graves PM, Levy M, Ghebreselassie S, Ogbamariam A, Barnston AG, Bell M, del Corral J, Connor SJ, Fesseha I, Brantly EP, Thomson MC, AmJTrop Med Hyg 2007 77 61 68
25. Development of a global evapotranspiration algorithm based on MODIS and global meteorology data. Mu Q, Heinsch FA, Zhao M, Running SW, Remote Sens Environ 2007 111 519 536 10.1016/j.rse.2007.04.015 (Pubitemid 350016146)
26. El Nino Southern Oscillation and vegetation dynamics as predictors of dengue fever cases in Costa Rica. Fuller DO, Troyo A, Beier JC, Environ Res Lett 2009 4 140111 140118 19763186
27. Burnham KP, Anderson DR, Model Selection and Multimodel Inference: A Practical Information Theoretic Approach Springer, New York 2002
28. Climatic warming and increased malaria incidence in Rwanda. Loevinsohn ME, Lancet 1994 343 714 718 10.1016/S0140-6736(94)91586-5 7907685 (Pubitemid 24087855)
29. Rainfall pattern, El Nino and malaria in Uganda. Kilian AHD, Langi P, Talisuna A, Kabagambe G, Trans R Soc Trop Med Hyg 1999 93 22 23 10.1016/S0035-9203(99)90165-7 10492781 (Pubitemid 29123713)
30. A global comparison between station air temperatures and MODIS land surface temperatures reveals the cooling role of forests. Mildrexler DJ, Zhao MS, Running SW, J Geophys Res 2011 116 0148 0227
31. Evaluation of MODIS land surface temperature data to estimate air temperature in different ecosystems over Africa. Vancutsem C, Ceccato P, Dinku T, Connor SJ, Remote Sens Environ 2010 114 449 465 10.1016/j.rse.2009.10.002
32. Predicting key malaria transmission factors, biting and entomological inoculation rates, using modelled soil moisture in Kenya. Patz JA, Strzepek K, Lele S, Hedden M, Greene S, Noden B, Hay SI, Kalkstein L, Beier JC, Trop Med Int Health 1998 3 818 827 10.1046/j.1365-3156.1998.00309.x 9809915 (Pubitemid 28492518)
33. Exploring 30 years of malaria case data in KwaZulu-Natal, South Africa: Part I. The impact of climatic factors. Craig MH, Kleinschmidt I, Nawn JB, Le Sueur D, Sharp BL, Trop Med Int Health 2004 9 1247 1257 10.1111/j.1365-3156. 2004.01340.x 15598256 (Pubitemid 40037160)
34. Overview of the radiometric and biophysical performance of the MODIS vegetation indices. Huete A, Didan K, Miura T, Rodriguez EP, Gao X, Ferreira LG, Remote Sens Environ 2002 83 195 213 10.1016/S0034-4257(02)00096-2 (Pubitemid 35307469)
35. Advantages of a two band EVI calculated from solar and photosynthetically active radiation fluxes. Rocha AV, Shaver GR, Agr Forest Meteorol 2009 149 1560 1563 10.1016/j.agrformet.2009.03.016
36. Satellite monitoring of vegetation dynamics: Sensitivity enhancement by the Wide Dynamic Range Vegetation Index. Vĩa A, Henebry GM, Gitelson AA, Geophys Res Lett 2004 31 04503
37. Sensitivity of the Enhanced Vegetation Index (EVI) and Normalized Difference Vegetation Index (NDVI) to topographic effects: A case study in high-density cypress forest. Matsushita B, Yang W, Chen J, Onda Y, Qiu GY, Sensors 2007 7 2636 2651 10.3390/s7112636
38. Weather-based prediction of Plasmodium falciparum malaria in epidemic-prone regions of Ethiopia II. Weather-based prediction systems perform comparably to early detection systems in identifying times for interventions. Teklehaimanot HD, Schwartz J, Teklehaimanot A, Lipsitch M, Malar J 2004 3 44 10.1186/1475-2875-3-44 15555061 (Pubitemid 40117661)
39. Early detection of malaria foci for targeted interventions in endemic southern Zambia. Davis RG, Kamanga A, Castillo-Salgado C, Chime N, Mharakurwa S, Shiff C, Malar J 2011 10 260 10.1186/1475-2875-10-260 21910855