Remote sensing and disease control in China: Past, present and future

Parasites and Vectors

Volumn 6, Issue 1, 2013, Pages

  Zhang, Zhijie ^a,b   Ward, Michecal ^c   Gao, Jie ^a,b   Wang, Zengliang ^a,b   Yao, Baodong ^a,b   Zhang, Tiejun ^a,b   Jiang, Qingwu ^a,b  

^a FUDAN UNIVERSITY   (China)

^b BEIJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

^c UNIVERSITY OF SYDNEY   (Australia)

Author keywords

China; Disease control; Human health; Remote sensing; Satellites

Indexed keywords

ARTIFICIAL NEURAL NETWORK; CHINA; CONCEPTUAL FRAMEWORK; DISEASE CONTROL; DISEASE SURVEILLANCE; DISEASE TRANSMISSION; ENVIRONMENTAL MONITORING; GENE MAPPING; GENETIC TRANSFORMATION; GEOGRAPHIC DISTRIBUTION; GEOGRAPHIC INFORMATION SYSTEM; HUMAN; INCIDENCE; MALARIA; NONHUMAN; PHOTOGRAPHY; PREVALENCE; REMOTE SENSING; REVIEW; SCHISTOSOMIASIS; SYSTEMATIC REVIEW; INFECTION CONTROL; METHODOLOGY; SPACE FLIGHT; TELEMETRY;

CHINA; COMMUNICABLE DISEASE CONTROL; ENVIRONMENTAL MONITORING; HUMANS; SPACECRAFT; TELEMETRY;

MLCS; MLOWN;

EID: 84872130737     PISSN: None     EISSN: 17563305     Source Type: Journal    
DOI: 10.1186/1756-3305-6-11     Document Type: Review

References (105)

1. Jensen JR: Remote sensing of the environment: an earth resource perspective. 2nd edition. Upper Saddle River, NJ: Prentice-Hall, Inc; 2007.
2. Schowengerdt RA: Remote sensing: models and methods for image processing. 3rd edition. New York: Academic Presser; 2007.
3. Schott JR: Remote sensing: the image chain approach. 2nd edition. Oxford: Oxford University Press; 2007.
4. Hay SI: Remote sensing and disease control: past, present and future. Trans R Soc Trop Med Hyg 1997, 91:105-106.
5. Cline BL: New eyes for epidemiologists: aerial photography and other remote sensing techniques. Am J Epidemiol 1970, 92:85-89.
6. Cross ER, Bailey RC: Prediction of areas endemic for schistosomiasis through use of discriminant analysis of environmental data. Mil Med 1984, 149:28-30.
7. Cross ER, Sheffield C, Perrine R, Pazzaglia G: Predicting areas endemic for schistosomiasis using weather variables and a Landsat data base. Mil Med 1984, 149:542-544.
8. Moloney JM, Skelly C, Weinstein P, Maguire M, Ritchie S: Domestic Aedes aegypti breeding site surveillance: limitations of remote sensing as a predictive surveillance tool. Am J Trop Med Hyg 1998, 59:261-264.
9. Vignolles C, Tourre YM, Mora O, Imanache L, Lafaye M: TerraSAR-X highresolution radar remote sensing: an operational warning system for Rift Valley fever risk. Geospat Health 2010, 5:23-31.
10. Bryceson KP, Wright DE: An analysis of the 1984 locust plague in Australia using multitemporal landsat multispectral data and a simulation model of locust development. Agr Ecosyst Environ 1986, 16:87-102.
11. Eisen RJ, Eisen L, Lane RS: Predicting density of Ixodes pacificus nymphs in dense woodlands in Mendocino County, California, based on geographic information systems and remote sensing versus fieldderived data. Am J Trop Med Hyg 2006, 74:632-640.
12. Zhang ZY, Xu DZ, Zhou XN, Zhou Y, Liu SJ: Remote sensing and spatial statistical analysis to predict the distribution of Oncomelania hupensis in the marshlands of China. Acta Trop 2005, 96:205-212.
13. Hay SI, Snow RW, Rogers DJ: From predicting mosquito habitat to malaria seasons using remotely sensed data: practice, problems and perspectives. Parasitol Today 1998, 14:306-313.
14. Rogers DJ, Randolph SE: Distribution of tsetse and ticks in Africa: past, present and future. Parasitol Today 1993, 9:266-271.
15. Gebre-Michael T, Malone JB, Balkew M, Ali A, Berhe N, Hailu A, Herzi AA: Mapping the potential distribution of Phlebotomus martini and P. orientalis (Diptera: Psychodidae), vectors of kala-azar in East Africa by use of geographic information systems. Acta Trop 2004, 90:73-86.
16. Hassan AN, Beck LR, Dister S: Prediction of villages at risk for filariasis transmission in the Nile Delta using remote sensing and geographic information system technologies. J Egypt Soc Parasitol 1998, 28:75-87.
17. Ahearn SC, De Rooy C: Monitoring the effects of dracunculiasis remediation on agricultural productivity using satellite data. Int J Remote Sens 1996, 17:917-929.
18. Graham AJ, Danson FM, Giraudoux P, Craig PS: Ecological epidemiology: landscape metrics and human alveolar echinococossis. Acta Trop 2004, 91:267-278.
19. Brooker S: Schistosomes, snails and satellites. Acta Trop 2002, 82:207-214.
20. Brooker S, Michael E: The potential of geographical information systems and remote sensing in the epidemiology and control of human helminth infections. Adv Parasitol 2000, 47:245-288.
21. Malone JB: Biology-based mapping of vector-borne parasites by geographic information systems and remote sensing. Parassitologia 2005, 47:27-50.
22. Yang GJ, Vounatsou P, Zhou XN, Utzinger J, Tanner M: A review of geographic information system and remote sensing with applications to the epidemiology and control of schistosomiasis in China. Acta Trop 2005, 96:117-129.
23. Zhou XN, Malone JB, Kristensen TK, Bergquist NR: Application of geographic information systems and remote sensing to schistosomiasis control in China. Acta Trop 2001, 79:97-106.
24. Leonardo LR, Crisostomo BA, Solon JA, Rivera PT, Marcelo AB, Villasper JM: Geographical information systems in health research and services delivery in the Philippines. Geospat Health 2007, 1:147-155.
25. Malone JB, Bergquist NR: Mapping and modelling neglected tropical diseases and poverty in Latin America and the Caribbean. Geospat Health 2012, 6:S1-5.
26. Shao JJ, Li SK: A preliminary study of applying Landsat TM images to identify snail habitats in Dongting Lake regions. Hunan Med 1985, 2:15-16.
27. Li ZW, Yuan PX, Yin RG, He SR, Gu XG, Zhao WX, Xu FS: Detection of ecological regions of Oncomelania hupensis via the remote sensing techniques. Acta Sci Circumst 1990, 10:217-225.
28. Gu WD: Applying remote sensing techniques to monitor the mosquito breeding habitats. J Med Pest Contr 1991, 1:151-154.
29. Chen SP, Hu J: Geoecological zones and endemic diseases in China - a sample study by remote-sensing. Prev Vet Med 1991, 11:335-344.
30. Wang SJ: Review on the applications of remote sensing techniqes in epidemiology. Aerospace China 1994, 8:4-6.
31. Wang SJ, Liao YC: Review on the applications of satellites techniqes in epidemiology. Med Info Chin PLA 1994, 8:92-93.
32. Lin MH: Remote sensing as a Landscape epidemiologic tool to identify villages at high risk for malaria transmission. Parasitic Dis Foreign Med Sci 1995, 22:220-221.
33. Zhou XN, Hong QB, Sun LP, Hu XS, Sun NS, Fuetes M, Malone JB: Application of geographic Information systems on schistosomiasis surveillance I. Application possibility of prediction model. Chin J Schistoso Contr 1998, 10:321-324.
34. Sun LP, Zhou XN, Cao Q, Hong QB, Jiang ZX: Quantitative study on fluctuation of marshland size in schistosomiasis endemic area. Chin J Schistoso Contr 1998, 10:212-214.
35. Spear RC, Gong P, Seto E, Zhou Y, Xu B, Maszle D, Liang S, Davis G, Gu X: Remote Sensing and GIS for schistosomiasis control in mountainous areas in Sichuan, China. Ann GIS 1998, 4:14-22.
36. Zhou XN, Sun LP, Hong QB, Sun NS, Hu XS, Fuentes M, Malone JB: Application of geographic information systems on schistosomiasis surveillance III. snail habitats in marshland. Chin J Schistoso Contr 1999, 11:199-202.
37. Yang HM, Pang H, Hu HB, Xie CY, Qiu L, Huang JZ, Sun LP, Hong QB, Zhou XN: Prediction of snail habitats in the marshland along the Yangtze River affected by flood in 1998 by remote sensing. Chin J Schistoso Contr 2000, 12:337-339.
38. Gao Y, Zhang XB, He R, Wang YL, Zhu XZ, Tian B, Sun LP, Hong QB, Yang GJ, Zhou XN: Application of spatial distribution model to predict the impact of 1998's flood on snail distribution in marshland of YangZhou. Chin J Schistoso Contr 2001, 13:285-288. +321.
39. Lin T, Jiang QW, Zhang SQ, Wang TP, Chen GX, Liu JX, Wei JG, Zhao GM: Study on unsupervised classification in marshland of endemic area of Schistosomiasis Japonica using satellite TM image data. Chin J Prev Med 2000, 34:263-265.
40. Jiang QW, Liu JX, Lin T, Wei JG, Zhao GM, Lin DD, Chen HG, Zhang SJ: The study on the identification of the water body from marshland in schistosomiasis endemie areas using TM remote sensing data. Chin J Publ Health 2001, 17:289-290.
41. Guo JG, Lin DD, Hu GH, Ning A, Liu HY, Lv SB, Li D, Wu XH, Wang RR, Chen MG, Zheng J, Tanner M: Rapid identification of oncomelania hupensis snail habitat in the poyang lake region by geographic information system (GIS) and remote sensing (RS). Chin J Epidemiol 2002, 23:99-101.
42. Yang GJ, Zhou XN, Malone JB, McCarroll JC, Gao Q, Zhang XP, Wang TP, Liu JX: The possibility to predict transmission tendency of malaria by using remote sensing data in China. Chin J Parasitic Dis Contr 2002, 15:339-341.
43. Zhang B: Study on the relationship between vegetation index of remote sensing image and the snail distribution in JiangNing County. Master Dissertation: The Fourth Military Medical University; 2002.
44. Yi BT, Xu DZ, Zhang ZY, Zhang B, Xi YZ, Fu JG, Luo J, Yuan MH, Liu SQ: Study on the relationship between NDVI of NOAA-AVHRR image and the aedes density in guangdong province. J Fourth Mil Med Univ 2003, 24:1720-1724.
45. Lin T, Jiang QW, Lin DD, Chen HG, Zhao GM, Liu JX, Zhang SJ: Classification study on the marshland in endemic areas of schistosoma japonicum using satellite TM image data. Chin J Prev Med 2001, 35:312-314.
46. Zhang SQ, Jiang QW, Wang TP, Ge JH, Chen JS, Wang XK, Wang QZ, Lin T: Study on remote sensing technology to supervise snail breeding areas and snail pervasion in inundation. J Trop Dis Parasitol 2001, 30:5-8.
47. Wen L, Xu DZ, Wang SQ, Li CX, Zhang ZY, Su YQ: Analysis on the relationship between malaria epidemics and NOAA-AVHRR NDVI in Hainan province. Chin J Epidemiol 2005, 26:263-267.
48. Zhang B, Zhang ZY, Xu DZ, Sun ZD, Zhou XN, Gong ZL, Liu SJ, Xu B, Zhou Y: Study on the relationship between Terra-MODIS image and the snail distribution in marshland of Jiangning county. Jiangsu province. Chin J Epidemiol 2003, 24:257-260.
49. Zhang B, Zhang ZY, Xu DZ, Sun ZD, Zhou Y, Zhou XN: Application of landsat7-ETM + image in surveillance of snail distribution in mountain areas. Chin J Parasitic Dis Contr 2004, 17:143-145.
50. Zhang SQ, Jiang QW, Wang TP, Zhao GM, Ge JH: Ecological surveillance on breeding ground for Oncomelania hupensis snails in the areas prevalent with islet-type schistosomiasis using remote sensing technology. Chin J Prev Med 2003, 37:331-334.
51. Zhang ZY, Xu DZ, Sun ZD, Zhang B, Zhou XN, Zhou Y, Gong ZL, Liu ZJ: Application of satellite image for surveillance of vegetation landscapes of Oncomelenia-snail habitats in marshland using unsupervised classification. Chin J Epidemiol 2003, 24:261-264.
52. Guo JG, Vounatsou P, Cao CL, Utzinger J, Zhu HQ, Anderegg D, Zhu R, He ZY, Li D, Hu F, Chen MG, Tanner M: A geographic information and remote sensing based model for prediction of Oncomelania hupensis habitats in the Poyang Lake area. China. Acta Trop 2005, 96:213-222.
53. Niu AO, Liu SY, Li T, Deng WW, Wei XW: Study on the geographic information system databases regarding the control of schistosomiasis in Zhongxiang, Hubei province. China. Chin J Epidemiol 2005, 26:871-873.
54. Zhang JX, Gong JH, Huang MX, Lin WP: Application of remote sensing image based on knowledge decision tree classification in identifying the habitat of Oncomelania snails in Poyang Lake region. Chin J Schistoso Contr 2008, 20:70-73.
55. Zhang ZJ: Spatial analysis on the high risk regions for schistosomiasis japonica and identification of active transmission sites. Shanghai: Fudan Univeristy. PhD Thesis; 2008.
56. Zhao A, Bao SM: A preliminary knowledge-driven prediction model of snail distribution in the Poyang Lake region. Chin Scie Bull 2008, 53:115-123.
57. Dong Y, Li ZH, Feng XG, Dong XQ: Relationship between environmental remote sensing alternate indexes and Oncomelania snail distribution in hilly and mountainous areas. Chin J Schistoso Contr 2011, 23:258-261.
58. Ju C, Liu ZC, Xu C, Cong XB, Zhou FX: Calculating distribution areas of spermophilus dauricus by using GIS and remote sensing technologies. Chin J Endem Dis 2011, 26:265-267.
59. Zhang ZY, Zhou WL, Zhang B, Zhou Y, Zhou XN, Liu SJ, Gong ZL, Xu DZ: Application of remote sensing data from Landsat ETM + in predicting the schistosomiasis transmitted snail's distribution in marshlands of Jiangning County. J Fourth Mil Med Univ 2004, 25:730-733.
60. Xu B, Gong P, Biging G, Liang S, Seto E, Spear R: Snail density prediction for schistosomiasis control using IKONOS and ASTER images. Photogramm Eng Remote Sensing 2004, 70:1285-1294.
61. Yang GJ, Vounatsou P, Zhou XN, Tanner M, Utzinger J: A Bayesian-based approach for spatio-temporal modeling of county level prevalence of Schistosoma japonicum infection in Jiangsu province, China. Int J Parasitol 2005, 35:155-162.
62. Liu J, Chen XP: Relationship of remote sensing normalized differential vegetation index to Anopheles density and malaria incidence rate. Biomed Environ Sci 2006, 19:130-132.
63. Gao B, Hu F, Fang Y, Liu YM, Lv SB, Le XH, Gao ZL, Huang XH, Lin DD: Studies on rapid determination of susceptible environments with schistosomiasis japonicum in Poyang Lake region by remote sensing technology. J Trop Dis Parasitol 2008, 6:187-190.
64. Yang K, Wang XH, Yang GJ, Wu XH, Qi YL, Li HL, Zhou XN: An integrated approach to identify distribution of Oncomelania hupensis, the intermediate host of Schistosoma japonicum, in a mountainous region in China. Int J Parasitol 2008, 38:1007-1016.
65. Zhang ZJ, Carpenter TE, Lynn HS, Chen Y, Bivand R, Clark AB, Hui FM, Peng WX, Zhou YB, Zhao GM, Jiang QW: Location of active transmission sites of Schistosoma japonicum in lake and marshland regions in China. Parasitology 2009, 136:737-746.
66. Zhang ZY, Xu DZ, Zhou Y, Sun ZD, Zhang B, Zhou XN, Liu SJ, Gong ZL: Application of digital imageries from Landsat ETM+ to the surveillance of snail habitats in marshland. J Xi'an Jiaotong Univ (Med Sci) 2004, 25:304-306.
67. Yang GJ, Vounatsou P, Tanner M, Zhou XN, Utzinger J: Remote sensing for predicting potential habitats of Oncomelania hupensis in Hongze, Baima and Gaoyou lakes in Jiangsu province, China. Geospat Health 2006, 1:85-92.
68. Yao BD, Wang ZL, Zhang ZJ, Tian AP, Zhu SP, Hu BJ, Gao FH, Wang QZ, Yi P, Jiang QW: Application of multi-temporal China-Brazil Earth recourses satellite-02 data on surveillance of dynamic changes of water body of rivers and oncomelania snail habitats in anxiang County. Chin J Schistoso Control 2012, 24:160-163.
69. Wang ZL, Zhu R, Zhang ZJ, Yao BD, Zhang LJ, Gao J, Jiang QW: Identification of the snail habitats in the Poyang Lake region based on the joint application of normalized difference vegetation and water indices. Chin J Epidemiol 2012, 8:1-6.
70. Li YP: Impact of water level and climatic factors on the distribution of schistosoma japonicum intermediate host Oncomelania hupensis and the identification of snail habitats in Eastern Dongting Lake areas. Shanghai: Fudan University. Master Dissertation; 2011.
71. Yang K, Zhou XN, Wu XH, Steinmann P, Wang XH, Yang GJ, Utzinger J, Li HJ: Landscape pattern analysis and Bayesian modeling for predicting Oncomelania hupensis distribution in Eryuan County, People's Republic of China. Am J Trop Med Hyg 2009, 81:416-423.
72. Zhang Z, Jiang Q: Schistosomiasis elimination. Lancet Infect Dis 2011, 11:345.
73. Bergquist R, Malone JB, Kristensen TK: Schistosomiasis information systems and control of snail-borne diseases. Parasitol Today 2000, 16:363-364.
74. Seto E, Xu B, Liang S, Gong P, Wu WP, Davis G, Qiu DC, Gu XG, Spear R: The use of remote sensing for predictive modeling of schistosomiasis in China. Photogramm Eng Remote Sensing 2002, 68:167-174.
75. Ostfeld RS, Glass GE, Keesing F: Spatial epidemiology: an emerging (or re-emerging) discipline. Trends Ecol Evol 2005, 20:328-336.
76. Thomson MC, Connor SJ, D'Alessandro U, Rowlingson B, Diggle P, Cresswell M, Greenwood B: Predicting malaria infection in Gambian children from satellite data and bed net use surveys: the importance of spatial correlation in the interpretation of results. Am J Trop Med Hyg 1999, 61:2-8.
77. Ward MP, Ramsay BH, Gallo K: Rural cases of equine West Nile virus encephalomyelitis and the normalized difference vegetation index. Vector Borne Zoonotic Dis 2005, 5:181-188.
78. Ward MP: Equine west nile virus disease occurrence and the normalized difference vegetation index. Prev Vet Med 2009, 88:205-212.
79. Lobitz B, Beck L, Huq A, Wood B, Fuchs G, Faruque AS, Colwell R: Climate and infectious disease: use of remote sensing for detection of Vibrio cholerae by indirect measurement. Proc Natl Acad Sci U S A 2000, 97:1438-1443.
80. Herbreteau V, Salem G, Souris M, Hugot JP, Gonzalez JP: Sizing up human health through remote sensing: uses and misuses. Parassitologia 2005, 47:63-79.
81. Zhou YB, Liang S, Jiang QW: Factors impacting on progress towards elimination of transmission of schistosomiasis japonica in China. Parasit Vectors 2012, 5:275.
82. Zhou YB, Zheng HM, Jiang QW: A diagnostic challenge for Schistosomiasis japonica in China: consequences on praziquantel-based morbidity control. Parasit Vectors 2011, 4:194.
83. Wang XM, Liang WT, Zhou F, Qin H: Study on classification of high spatial resolution remotely sensed imagery with SVM and local spatial statistics getis-Ord Gi. Geogr Geoinfo Sci 2008, 24:16-19. +24.
84. Jiang LH, Yang XR: Classification methods of remote sensing image based on decision tree technologies. Agricul Network Info 2009, 10:34-36. +42.
85. Ke HM, Chen CZ, Zhang XH, Wang JL: Study on BP neural network classification with optimization of genetic algorithm for remote sensing imagery. J Southwest Univ 2010, 32:128-132.
86. Wang XH: Study on extraction of torreya grandis merrillii from high resolution remote sensing imagery based on object-oriented method. Hangzhou: Zhejiang University. Master Dissertation; 2008.
87. Chen Y, Chen YY, Lin Y: Object-oriented classification of remote sensing data for change detection. J Shandong Jianzhu Univ 2008, 23:515-520.
88. Linthicum KJ, Anyamba A, Tucker CJ, Kelley PW, Myers MF, Peters CJ: Climate and satellite indicators to forecast Rift Valley fever epidemics in Kenya. Science 1999, 285:397-400.
89. Sannier CAD, Taylor JC, Campbell K: Compatibility of FAO-ARTEMIS and NASA Pathfinder AVHRR Land NDVI data archives for the African continent. Int J Remote Sens 1998, 19:3441-3450.
90. Hidy GM, Brook JR, Chow JC, Green M, Husar RB, Lee C, Scheffe RD, Swanson A, Watson JG: Remote sensing of particulate pollution from space: have we reached the promised land? J Air Waste Manag Assoc 2009, 59:1130-1139.
91. Evans JAVD, Martin RV, Burnett R, Rainham DG, Birkett NJ, Krewski D: Estimates of global mortality attributable to particulate air pollution using satellite imagery. Environ Res 2012. doi:10.1016/j.envres.2012.08.005.
92. Anderson HR, Butland BK, van Donkelaar A, Brauer M, Strachan DP, Clayton T, van Dingenen R, Amann M, Brunekreef B, Cohen A, et al: Satellite-based estimates of ambient Air pollution and global variations in childhood asthma prevalence. Environ Health Perspect 2012, 120:1333-1339.
93. Hay SI, Tatem AJ, Graham AJ, Goetz SJ, Rogers DJ: Global environmental data for mapping infectious disease distribution. Adv Parasitol 2006, 62:37-77.
94. Bergquist R, Rinaldi L: Health research based on geospatial tools: a timely approach in a changing environment. J Helminthol 2010, 84:1-11.
95. Liu H, Weng QH: Enhancing temporal resolution of satellite imagery for public health studies: a case study of West Nile Virus outbreak in Los Angeles in 2007. Remote Sens Environ 2012, 117:57-71.
96. Bhunia GS, Dikhit MR, Kesari S, Sahoo GC, Das P: Role of remote sensing, geographic bioinformatics system and bioinformatics in kala-azar epidemiology. J Biomed Res 2011, 25:373-384.
97. Simoonga C, Utzinger J, Brooker S, Vounatsou P, Appleton CC, Stensgaard AS, Olsen A, Kristensen TK: Remote sensing, geographical information system and spatial analysis for schistosomiasis epidemiology and ecology in Africa. Parasitology 2009, 136:1683-1693.
98. Nihei N, Komagata O, Kobayashi M, Saitoh Y, Mochizuki K, Nakamura S: Spatial analysis and remote sensing for monitoring systems of Oncomelania nosophora following the eradication of schistosomiasis japonica in Yamanashi Prefecture, Japan. Jpn J Infect Dis 2009, 62:125-132.
99. Pin-Diop R, Toure I, Lancelot R, Ndiaye M, Chavernac D: Remote sensing and geographic information systems to predict the density of ruminants, hosts of Rift Valley fever virus in the Sahel. Vet Ital 2007, 43:675-686.
100. Herbreteau V, Salem G, Souris M, Hugot JP, Gonzalez JP: Thirty years of use and improvement of remote sensing, applied to epidemiology: from early promises to lasting frustration. Health Place 2007, 13:400-403.
101. Gong P, Xu B, Liang S: Remote sensing and geographic information systems in the spatial temporal dynamics modeling of infectious diseases. Sci China C Life Sci 2006, 49:573-582.
102. Kristensen TK, Malone JB, McCarroll JC: Use of satellite remote sensing and geographic information systems to model the distribution and abundance of snail intermediate hosts in Africa: a preliminary model for Biomphalaria pfeifferi in Ethiopia. Acta Trop 2001, 79:73-78.
103. Brooker S, Hay SI, Issae W, Hall A, Kihamia CM, Lwambo NJ, Wint W, Rogers DJ, Bundy DA: Predicting the distribution of urinary schistosomiasis in Tanzania using satellite sensor data. Trop Med Int Health 2001, 6:998-1007.
104. Malone JB, Huh OK, Fehler DP, Wilson PA, Wilensky DE, Holmes RA, Elmagdoub AI: Temperature data from satellite imagery and the distribution of schistosomiasis in Egypt. Am J Trop Med Hyg 1994, 50:714-722.
105. Kalluri S, Gilruth P, Rogers D, Szczur M: Surveillance of arthropod vectorborne infectious diseases using remote sensing techniques: a review. PLoS Pathog 2007, 3:1361-1371.