Measuring urbanization pattern and extent for malaria research: A review of remote sensing approaches

Journal of Urban Health

Volumn 81, Issue 3, 2004, Pages 363-376

  Tatem, A J ^a   Hay, S I ^a,b  

^a UNIVERSITY OF OXFORD   (United Kingdom)

^b KEMRI WELLCOME TRUST RESEARCH PROGRAMME   (Kenya)

Author keywords

Malaria risk; Satellite imagery; Urban mapping

Indexed keywords

ENVIRONMENTAL FACTOR; GEOGRAPHIC DISTRIBUTION; HUMAN; INFECTION RISK; MALARIA; MALARIA CONTROL; MEDICAL DECISION MAKING; PRIORITY JOURNAL; REVIEW; RISK ASSESSMENT; TELECOMMUNICATION; URBANIZATION;

AFRICA; HUMANS; INDUSTRY; MALARIA; RESEARCH; SPACECRAFT; URBAN POPULATION; URBAN RENEWAL; URBANIZATION;

EID: 4344576526     PISSN: 10993460     EISSN: None     Source Type: Journal    
DOI: 10.1093/jurban/jth124     Document Type: Review

References (136)

1. United Nations. World Urbanisation Prospects, 2002 Revision. New York: United Nations; 2002.
2. Miller RB, Small C. Cities from space: potential applications of remote sensing in urban environmental research and policy. Environ Sci Policy. 2003;6:129-137.
3. Harpham T. Urbanisation and health in transition. Lancet. 1997;349(suppl 3):11-13.
4. Harpham T, Tanner M, eds. Urbanisation Health in Developing Countries: Progress and Prospects. London: Earthscan; 1995.
5. McMichael AJ, Beaglehole R. The changing global context of public health. Lancet. 2000;356:495-499.
6. McMichael AJ. The urban environment and health in a world of increasing globalization: issues for developing countries. Bull World Health Organ. 2000;78:1117-1126.
7. Knudsen AB, Slooff R. Vector-borne disease problems in rapid urbanization: new approaches to vector control. Bull World Health Organ. 1992;70:1-6.
8. Lines J, Harpham T, Leake C, Schofield C. Trends, priorities and policy directions in the control of vector-borne diseases in urban environments. Health Policy Plann. 1994;9:113-129.
9. Mott KE, Desjeux P, Moncayo A, Ranque P, de Raadt P. Parasitic disease and urban development. Bull World Health Organ. 1990;68:691-698.
10. McCally M, Garg A, Oleskey C. The challenges of emerging illness in urban environments: an overview. J Urban Health. 2001;78:350-358.
11. Rose AMC, Watson JM, Graham C, et al. Tuberculosis at the end of the 20th century in England and Wales: results of a national survey in 1998. Thorax. 2001;56:173-179.
12. Rothenburg R, Baldwin J, Trotter R, Muth S. The risk environment for HIV transmission: results from the Atlanta and Flagstaff network studies. J Urban Health. 2001;78:419-432.
13. Bang YH, Shah NK. Human ecology related to urban mosquito-borne disease in countries of the South East Asia region. J Commun Dis. 1988;20:1-17.
14. Hay SI, Rogers DJ, Toomer JF, Snow RW. Annual Plasmodium falciparum entomological inoculation rates (EIR) across Africa: literature survey, internet access and review. Trans R Soc Trop Med Hyg. 2000;94:113-127.
15. Robert V, MacIntyre K, Keating J, et al. Malaria transmission in urban sub-Saharan Africa. Am J Trop Med Hyg. 2003;68:169-176.
16. Noor AM, Zurovac D, Hay SI, Ochola SA, Snow RW. Defining equity in physical access to clinical services using geographical information systems as part of malaria planning and monitoring in Kenya. Trop Med Int Health. 2003;8:917-926.
17. Vlahov D, Galea S. Urbanization, urbanicity and health. J Urban Health. 2002;79:1-12.
18. Rush M, Vernon S. Remote sensing and urban public health. Photogram Eng Remote Sens. 1975;41:1149-1155.
19. Jensen JR, Cowen DC. Remote sensing of urban suburban infrastructure and socioeconomic attributes. Photogram Eng Remote Sens. 1999;65:611-622.
20. Aplin P, Atkinson PM, Curran PJ. Fine spatial resolution satellite sensors for the next decade. Int J Remote Sens. 1997;18:3873-3881.
21. Hay SI. An overview of remote sensing and geodesy for epidemiology and public health application. Adv Parasitol. 2000;47:1-35.
22. Hay SI, Omumbo JA, Craig MH, Snow RW. Earth observation, geographic information systems and Plasmodium falciparum malaria in sub-Saharan Africa. Adv Parasitol. 2000;47:173-215.
23. Rogers DJ, Randolph SE, Snow RW, Hay SI. Satellite imagery in the study and forecast of malaria. Nature. 2002;415:710-715.
24. Coiner JC, Levine AL. Applications of remote sensing to urban problems. Urban Syst. 1979;4:205-219.
25. New M, Lister D, Hulme M, Makin I. A high-resolution data set of surface climate over global land areas. Climate Res. 2002;21:1-25.
26. Henderson FM, Xia Z-G. SAR applications in human settlement detection, population estimation and urban land use pattern analysis: a status report. IEEE Trans Geosci Remote Sens. 1997;35:79-85.
27. Dong Y, Forster B, Ticehurst C. Radar backscatter analysis for urban environments. Int J Remote Sens. 1997;18:1351-1364.
28. Xia Z, Henderson FM. Understanding the relationships between radar response patterns and the bio- and geophysical parameters of urban areas. IEEE Trans Geosci Remote Sens. 1997;35:93-101.
29. Quartulli M, Tupin F. Information extraction from high resolution SAR data for urban scene understanding. Paper presented at: Urban 2003; May 22-23, 2003; Berlin, Germany.
30. Roth A. TerraSAR-X: a new perspective for scientific use of high resolution spaceborne SAR data. Paper presented at: Urban 2003; 2003; Berlin, Germany.
31. Elvidge C, Hobson VR, Nelson IL, et al. Overview of DMSP OLS and scope of applications. In: Mesev V, ed. Remotely Sensed Cities. London: Taylor and Francis; 2003:281-299.
32. Dobson JE, Bright EA, Coleman PR, Bhaduri BL. Landscan: a global population database for estimating populations at risk. In: Mesev V, ed. Remotely Sensed Cities. London: Taylor and Francis; 2003:267-279.
33. Barnsley MJ, Moller-Jensen L, Barr SL. Inferring urban land use by spatial and structural pattern recognition. In: Donnay J-P, Barnsley MJ, Longley PA, eds. Remote Sensing and Urban Analysis. London: Taylor and Francis; 2001:115-144.
34. Baudot Y. Geographical analysis of the population of fast-growing cities in the third world. In: Donnay J-P, Barnsley MJ, Longley PA, eds. Remote Sensing and Urban Analysis. London: Taylor and Francis; 2001:225-241.
35. Weber C. Urban agglomeration delimitation using remote sensing. In: Donnay J-P, Barnsley MJ, Longley PA, eds. Remote Sensing and Urban Analysis. London: Taylor and Francis; 2001:145-159.
36. Forster B. Some urban measurements from Landsat data. Photogram Eng Remote Sens. 1983;14:1693-1707.
37. Forster B. An examination of some problems and solutions in monitoring urban areas from satellite platforms. Int J Remote Sens. 1985;6:139-151.
38. Gao J, Skillcorn D. Capability of SPOT XS data in producing detailed land cover maps at the urban-rural periphery. Int J Remote Sens. 1998;19:2877-2891.
39. Zha Y, Gao J, Ni S. Use of normalized difference built-up index in automatically mapping urban areas from TM imagery. Int J Remote Sens. 2003;24:583-594.
40. Vogelmann JE, Sohl T, Howard SM. Regional characterization of land cover using multiple sources of data. Photogram Eng Remote Sens. 1998;64:45-57.
41. Civco DL, Hurd JD, Wilson EH, Arnold CL, Prisloe MP. Quantifying and describing urbanizing landscapes in the Northeast United States. Photogram Eng Remote Sens. 2002;68:1083-1090.
42. Yu S, Berthod M, Giraudon G. Toward robust analysis of satellite images using map information-application to urban area detection. IEEE Trans Geosci Remote Sens. 1999;37:1925-1939.
43. Mesev V, Longley PS, Batty M, Xie Y. Morphology from imagery: detecting and measuring the density of urban land use. Environ Plan A. 1995;27:759-780.
44. Webster CJ. Urban morphology fingerprints. Environ Plann B. 1996;23:279-297.
45. Longley PA, Mesev V. Measuring urban morphology using remotely-sensed imagery. In: Donnay J-P, Barnsley MJ, Longley PA, eds. Remote Sensing and Urban Analysis. London: Taylor and Francis; 2001:163-183.
46. Pesaresi M, Bianchin A. Recognizing settlement structure using mathematical morphology and image texture. In: Donnay J-P, Barnsley MJ, Longley PA, eds. Remote Sensing and Urban Analysis. London: Taylor and Francis; 2001:56-67.
47. Brivio PA, Zilioli E. Urban pattern characterization through geostatistical analysis of satellite images. In: Donnay J-P, Barnsley MJ, Longley PA, eds. Remote Sensing and Urban Analysis. London: Taylor and Francis; 2001:40-53.
48. Taket ND, Howarth SM, Burge RE. A model for the imaging of urban areas by synthetic aperture radar. IEEE Trans Geosci Remote Sens. 1991;29:432-443.
49. Hepner GF, Houshmand B, Kulikov I, Bryant N. Investigation of the integration of AVIRIS and IFSAR for urban analysis. Photogram Eng Remote Sens. 1998;64:813-820.
50. Grey W, Luckman A. Mapping urban extent using satellite radar interferometry. Photogram Eng Remote Sens. 2003;69:957-962.
51. Imhoff ML, Lawrence WT, Stutzer DC, Elvidge CD. A technique for using composite DMSP.OLS "city lights" satellite data to map urban area. Remote Sens Environ. 1997;61:361-370.
52. Schneider A, Friedl MA, Woodcock CE. Mapping urban areas by fusing multiple sources of coarse resolution remotely sensed data. Paper presented at: International Geoscience and Remote Sensing Symposium; July 21-25, 2003; Toulouse, France.
53. Dare PM, Fraser CS. Mapping informal settlements using high resolution imagery. Int J Remote Sens. 2001;22:1399-1401.
54. Bjorgo E. Using very high spatial resolution multispectral satellite sensor imagery to monitor refugee camps. Int J Remote Sens. 2000;21:611-616.
55. Rowland M, Nosten F. Malaria epidemiology and control in refugee camps and complex emergencies. Ann Trop Med Parasitol. 2001;95:741-754.
56. Clapham WB. Continuum-based classification of remotely sensed imagery to describe urban sprawl on a watershed scale. Remote Sens Environ. 2003;86:322-340.
57. Mesev V. Urban land use uncertainty. In: Mesev V, ed. Remotely Sensed Cities. London: Taylor and Francis; 2003:207-222.
58. Donnay J-P, Unwin D. Modelling geographical distributions in urban areas. In: Donnay J-P, Barnsley MJ, Longley PA, eds. Remote Sensing and Urban Analysis. London: Taylor and Francis; 2001:205-224.
59. Moller-Jensen L. Classification of urban land cover based on expert systems, object models and texture. Comput Environ Urban Syst. 1997;21:291-302.
60. Baraldi A, Parmiggiani F. Urban area classification by multispectral SPOT images. IEEE Trans Geosci Remote Sens. 2000;28:674-680.
61. Ben-Dor E, Saaroni H. A spectral based recognition of the urban environment using the visible and near infrared spectral region. A case study over Tel-Aviv, Israel. Int J Remote Sens. 2001;22:2193-2218.
62. Mesev V, Gorte B, Longley PA. Modified maximum-likelihood classification algorithms and their application to urban remote sensing. In: Donnay J-P, Barnsley MJ, Longley PA, eds. Remote Sensing and Urban Analysis. London: Taylor and Francis; 2001:72-88.
63. Paola JD, Schowengerdt RA. A detailed comparison of backpropagation neural network and maximum-likelihood classifiers for urban land use classification. IEEE Trans Geosci Remote Sens. 1995;33:981-996.
64. Gamba P, Houshmand B. An efficient neural classification of SAR and optical urban images. Int J Remote Sens. 2001;22:1535-1553.
65. Brown M, Lewis HG, Gunn SR. Linear spectral mixture models and support vector machines for remote sensing. IEEE Trans Geosci Remote Sens. 2000;38:2346-2360.
66. Phinn S, Stanford M, Scarth P, Murray AT, Shyy PT. Monitoring the composition of urban environments based on the vegetation-impervious surface-soil (VIS) model by subpixel analysis techniques. Int J Remote Sens. 2002;23:4131-4153.
67. Zhang J, Foody GM. A fuzzy classification of sub-urban land cover from remotely sensed imagery. Int J Remote Sens. 1998;19:2721-2738.
68. Gamba P, Dell'Acqua F. Increased accuracy multiband urban classification using a neuro-fuzzy classifier. Int J Remote Sens. 2003;24.
69. Tatem AJ, Lewis HG, Atkinson PM, Nixon MS. Super-resolution mapping of urban scenes from IKONOS imagery using a Hopfield neural network. Paper presented at: International Geoscience and Remote Sensing Symposium; July 9-13, 2001; Sydney, Australia.
70. Tatem AJ, Lewis HG, Atkinson PM, Nixon MS. Super-resolution target identification from remotely sensed images using a Hopfield neural network. IEEE Trans Geosci Remote Sens. 2001;39:781-796.
71. Tatem AJ, Lewis HG, Atkinson PM, Nixon MS. Increasing the spatial resolution of Landsat TM imagery for land cover mapping in agricultural areas. Int J Geogr Inform Sci. 2003;17:647-672.
72. Jensen JR. Spectral and textural features to classify elusive land cover at the urban fringe. Prof Geographer. 1979;31:400-409.
73. Herold M, Liu X, Clarke KC. Spatial metrics and image texture for mapping urban land use. Photogram Eng Remote Sens. 2003;69:991-1002.
74. Haralick RM, Shanmugam K, Dinstein I. Texture features for image classification. IEEE Trans Syst Man Cybernetics. 1973;3:610-621.
75. Shaban MA, Dikshit O. Improvement of classification in urban areas by the use of textural features: the case study of Lucknow city, Uttar Pradesh. Int J Remote Sens. 2001;22:565-593.
76. Karathanassi V, Iossifidis C, Rokos D. A texture-based classification method for classifying built areas according to their density. Int J Remote Sens. 2000;21:1807-1823.
77. Dell'Acqua F, Gamba P. Texture-based characterization of urban environments on satellite SAR images. IEEE Trans Geosci Remote Sens. 2003;41:153-159.
78. Harris PM, Ventura SJ. The integration of geographic data with remotely sensed imagery to improve classification in an urban area. Photogram Eng Remote Sens. 1995;61:993-998.
79. Kam T. Integrating GIS and remote sensing techniques for urban land-cover and land-use analysis. Geocarto Int. 1995;10:39-48.
80. Stefanov WL, Ramsey MS, Christensen PR. Monitoring urban land cover change: an expert system approach to land cover classification of semiarid to and urban centers. Remote Sens Environ. 2001;77:173-185.
81. Weng QH. Land use change analysis in the Zhujiang Delta of China using satellite remote sensing, GIS and stochastic modelling. J Environ Manage. 2002;64:273-284.
82. Gupta D, Munshi M. Urban change detection and land-use mapping of Delhi. Int J Remote Sens. 1985;6:529-534.
83. Kressler F, Steinnocher K. Change detection in urban areas using satellite images and spectral mixture analysis. Int Arch Photogram Remote Sens. 1996;31:379-383.
84. Batty M, Howes D. Predicting temporal patterns in urban development from remote imagery. In: Donnay J-P, Barnsley MJ, Longley PA, eds. Remote Sensing and Urban Analysis. London: Taylor and Francis; 2001:185-204.
85. Ji CY, Liu QH, Sun DF, Wang S, Lin P, Li XW. Monitoring urban expansion with remote sensing in China. Int J Remote Sens. 2001;22:1441-1455.
86. Kwarteng AY, Chavez PS. Change detection study of Kuwait City and environs using multi-temporal Landsat Thematic Mapper data. Int J Remote Sens. 1998;19:1651-1662.
87. Ridd MK, Liu J. A comparison of four algorithms for change detection in an urban environment. Remote Sens Environ. 1998;63:95-100.
88. Zhang Y. Detection of urban housing development by fusing multisensor satellite data and performing spatial feature post-classification. Int J Remote Sens. 2001;22:3339-3355.
89. Yang L, Xian G, Klaver JM, Deal B. Urban land-cover change detection through subpixel imperviousness mapping using remotely sensed data. Photogram Eng Remote Sens. 2003;69:1003-1010.
90. Herold M, Goldstein NC, Clarke KC. The spatiotemporal form of urban growth: measurement analysis and modeling. Remote Sens Environ. 2003;86:286-302.
91. Theobold DM, Hobbs NT. Forecasting rural land use change: a comparison of regression and spatial transition-based models. Geogr Environ Model. 1998;2:65-82.
92. Liu X, Lathrop RG. Urban change detection based on an artificial neural network. Int J Remote Sens. 2002;23:2513-2518.
93. Seto KC, Weiguo L. Comparing ARTMAP neural network with the maximum-likelihood classifier for detecting urban change. Photogram Eng Remote Sens. 2003;69:981-990.
94. Qiu F, Woller KL, Briggs R. Modeling urban population growth from remotely sensed imagery and TIGER GIS road data. Photogram Eng Remote Sens. 2003;69:1031-1042.
95. Clarke KC, Gaydos LJ. Loose-coupling a cellular automaton model and GIS: long-term urban growth prediction for San Francisco and Washington/Baltimore. Int J Geogr Inform Sci. 1998;12:699-714.
96. Doll CNH. Estimating non-population activities from night-time satellite imagery. In: Mesev V, ed. Remotely Sensed Cities. London: Taylor and Francis; 2003:335-353.
97. Grey W, Luckman A, Holland D. Mapping urban change in the UK using satellite radar interferometry. Remote Sens Environ. 2003;87:16-22.
98. Dousset B, Gourmelon F. Satellite multi-sensor data analysis of urban surface temperatures and landcover. ISPRS J Photogram Remote Sens. 2003;58:43-54.
99. Streutker DR. A remote sensing study of the urban heat island of Houston, Texas. Int J Rem1lote Sens. 2002;23:2595-2608.
100. Kalnay E, Cai M. Impact of urbanization and land-use change on climate. Nature. 2003;423:528-531.
101. Owen TW, Carlson TN, Gillies RR. An assessment of satellite remotely-sensed land cover parameters in quantitatively describing the climatic effect of urbanization. Int J Remote Sens. 1998;19:1663-1681.
102. Dobson JE, Bright EA, Coleman PR, Durfee RC, Worley BA. Landscan: a global population database for estimating populations at risk. Photogram Eng Remote Sens. 2000;66:849-857.
103. Harvey JT. Population estimation at the pixel level. In: Mesev V, ed. Remotely Sensed Cities. London: Taylor and Francis; 2003:181-205.
104. Lo CP. Zone-based estimation of population and housing units from satellite-generated land use/land cover maps. In: Mesev V, ed. Remotely Sensed Cities. London: Taylor and Francis; 2003:157-180.
105. Sutton P, Roberts D, Elvidge C, Baugh K. Census from heaven: an estimate of the global human population using night-time satellite imagery. Int J Remote Sens. 2001;22:3061-3076.
106. Lo CP, Faber BJ. Integration of Landsat Thematic Mapper and census data for quality of life assessment. Remote Sens Environ. 1997;62:143-157.
107. Harris R. Population mapping by geodemographics and digital imagery. In: Mesev V, ed. Remotely Sensed Cities. London: Taylor and Francis; 2003:223-241.
108. Lo CP, Quattrochi DA. Land-use and land-cover change, urban heat island phenomenon, and health implications: a remote sensing approach. Photogram Eng Remote Sens. 2003;69:1053-1063.
109. Goetz SJ, Wright RK, Smith AJ, Zinecker E, Schaub E. IKONOS imagery for resource management: tree cover, impervious surfaces and riparian buffer analyses in the Mid-Atlantic region. Remote Sens Environ. 2003; in press.
110. Weeks JR. Does night-time lighting deter crime?: An analysis of remotely sensed imagery and crime data. In: Mesev V, ed. Remotely Sensed Cities. London: Taylor and Francis; 2003:355-372.
111. Snow RW, Craig M, Deichmann U, Marsh K. Estimating mortality, morbidity and disability due to malaria among Africa's non-pregnant population. Bull World Health Organ. 1999;77:624-640.
112. Hay SI, Rogers DJ, Randolph SE, et al. Hot topic or hot air? Climate change and malaria resurgence in East African highlands. Trends Parasitol. 2002;18:530-534.
113. Hay SI, Cox J, Rogers DJ, et al. Climate change and the resurgence of malaria in the East African highlands. Nature. 2002;415:905-909.
114. Greenwood B, Mutabingwa T. Malaria in 2002. Nature. 2002;415:670-672.
115. Hay SI, Tucker CJ, Rogers DJ, Packer MJ. Remotely sensed surrogates of meteorological data for the study of the distribution and abundance of arthropod vectors of disease. Ann Trop Med Parasitol. 1996;90:1-19.
116. Tatem AJ, Baylis M, Mellor PS, et al. Prediction of bluetongue vector distribution in Europe and north Africa using satellite imagery. Vet Microbiol. 2003;97:13-29.
117. Hay SI, Packer MJ, Rogers DJ. The impact of remote sensing on the study and control of invertebrate intermediate host and vectors for disease. Int J Remote Sens. 1997;18:2899-2930.
118. Craig MH, Snow RW, le Sueur D. A climate-based distribution model of malaria transmission in sub-Saharan Africa. Parasitol Today. 1999;15:105-111.
119. Brohult J, Jorfeldt L, Rombo L, et al. The working capacity of Liberian males: a comparison between rural and urban populations in relation to malaria. Ann Trop Med Parasitol. 1981;75:487-494.
120. Lindsay SW, Campbell H, Adiamah JH, Greenwood AM, Bangali JE, Greenwood BM. Malaria in a peri-urban area of the Gambia. Ann Trop Med Parasitol. 1990;84:553-562.
121. Vercruysse J. Estimation of the survival rate of Anopheles arabiensis in an urban area (Pikine-Senegal). J Animal Ecol. 1985;54:343-350.
122. Vercruysse J, Jancloes M. Étude entomologique sur la transmission du paludisme humain dans la zone urbaine de Pikine (Sénégal). Cahiers ORSTOM. Sér Entomol Méd Parasitol. 1981;19:165-178.
123. Vercruysse J, Jancloes M, Van de Velden L. Epidemiology of seasonal falciparum malaria in an urban area of Senegal. Bull World Health Organ. 1983;61:821-831.
124. Gardiner C, Biggar RJ, Collins WE, Nkrumah FK. Malaria in urban and rural areas of southern Ghana: a survey of parasitemia, antibodies, and antimalarial practices. Bull World Health Organ. 1984;62:607-613.
125. Robert V, Gazin P, Ouédraogo V, Carnevale P. Le paludisme urbain à Bobo-Dioulasso (Burkina Faso). 1. Étude entomologique de la transmission. Cahiers ORSTOM. Sér Entomol Méd Parasitol. 1986;24:121-128.
126. Modiano D, Sirima BS, Sawadogo A, et al. Severe malaria in Burkina Faso: urban and rural environment. Parasitologia. 1999;41:251-254.
127. Rossi P, Belli A, Mancini L, Sabatinelli G. Enquête entomologique longitudinale sur la transmission du paludisme à Ouagadougou (Burkina Faso). Parassitologia. 1986;28:1-15.
128. Benasseni R, Gazin P, Carnevale P, Baudon D. Le paludisme urbain à Bobo-Dioulasso. 1. Étude de la morbidité palustre. Cahiers ORSTOM. Sér Entomol Méd Parasitol. 1987;25:165-170.
129. Fondjo E, Robert V, Le Goff G, Toto JC, Carnevale P. Le paludisme urbain à Yaoundé (Cameroun). 2. Étude entomologique dans deux quartiers peu urbanisés. Bull Soc Pathol Exotique. 1992;85:57-63.
130. Trape JF, Zoulani A. Malaria and urbanisation in Central Africa: the example of Brazzaville. Part II. Results of entomological surveys and epidemiological analaysis. Trans R Soc Trop Med Hyg. 1987;81(suppl 2):34-42.
131. Ngimbi NP, Beckers A, Wery M. Aperçu de la situation épidémiologique du paludisme à Kinshasa (Republique du Zaire) en 1980. Ann Soc Belge Méd Trop. 1982;62:121-137.
132. Coene J. Malaria in urban and rural Kinshasa: the entomological input. Med Vet Entomol. 1993;7:127-137.
133. Yohannes M, Petros B. Urban malaria in Nazareth Ethiopia: parasitological studies. Ethiop Med J. 1996;34:83-90.
134. El Sayed BB, Arnot DE, Mukhtar MM, et al. A study of the urban malaria transmission problem in Khartoum. Acta Trop. 2000;75:163-171.
135. Watts TE, Wray JR, Ng'andu H, Draper CC. Malaria in and urban and rural area of Zambia. Trans R Soc Trop Med Hyg. 1990;84:196-200.
136. World Health Organization/United Nations International Children's Fund. The African Malaria Report 2003. Geneva/New York: World Health Organization/United Nations Children's Fund; 2003. WHO/CDC/MAL/2003.1093.