Mapping intra-urban malaria risk using high resolution satellite imagery: A case study of Dar es Salaam

International Journal of Health Geographics

Volumn 15, Issue 1, 2016, Pages

  Kabaria, Caroline W ^a   Molteni, Fabrizio ^b,c   Mandike, Renata ^b   Chacky, Frank ^b   Noor, Abdisalan M ^a,d   Snow, Robert W ^a,d   Linard, Catherine ^e,f  

^a KEMRI WELLCOME TRUST RESEARCH PROGRAMME   (Kenya)

^b National Malaria Control Programme (NMCP)   (Tanzania)

^c SWISS TROPICAL AND PUBLIC HEALTH INSTITUTE   (Switzerland)

^d UNIVERSITY OF OXFORD   (United Kingdom)

^e UNIVERSITY OF NAMUR   (Belgium)

^f UNIVERSITÉ LIBRE DE BRUXELLES   (Belgium)

Author keywords

Boosted Regression Trees; Dar es Salaam; Remote sensing; Urban malaria

Indexed keywords

DISEASE CONTROL; DISEASE PREVALENCE; DISEASE TRANSMISSION; ENVIRONMENTAL FACTOR; HEALTH RISK; IMAGE RESOLUTION; MALARIA; MAPPING METHOD; REGRESSION ANALYSIS; REMOTE SENSING; SATELLITE IMAGERY; URBAN POPULATION;

DAR ES SALAAM [DAR ES SALAAM (RGA)]; DAR ES SALAAM [TANZANIA]; TANZANIA;

ANIMAL; ANOPHELES; ARTIFICIAL INTELLIGENCE; ENVIRONMENT; GEOGRAPHIC MAPPING; GROWTH, DEVELOPMENT AND AGING; HUMAN; INSECT VECTOR; LARVA; MALARIA; PLASMODIUM FALCIPARUM; PREVALENCE; PROCEDURES; RISK ASSESSMENT; SATELLITE IMAGERY; SPATIOTEMPORAL ANALYSIS; TANZANIA; URBAN POPULATION;

ANIMALS; ANOPHELES; ARTIFICIAL INTELLIGENCE; ENVIRONMENT; GEOGRAPHIC MAPPING; HUMANS; INSECT VECTORS; LARVA; MALARIA; PLASMODIUM FALCIPARUM; PREVALENCE; RISK ASSESSMENT; SATELLITE IMAGERY; SPATIO-TEMPORAL ANALYSIS; TANZANIA; URBAN POPULATION;

EID: 84979713671     PISSN: None     EISSN: 1476072X     Source Type: Journal    
DOI: 10.1186/s12942-016-0051-y     Document Type: Article

References (73)

1. United Nations. Department of Economic and Social Affairs, Population Division. World Urbanization Prospects: The 2014 Revision. Highlights (ST/ESA/SER.A/352). New York: United Nations; 2015.
2. Alirol E, Getaz L, Stoll B, Chappuis F, Loutan L. Urbanisation and infectious diseases in a globalised world. Lancet Infect Dis. 2011;11(2):131-41.
3. Dye C. Health and urban living. Science. 2008;319(5864):766-9.
4. Utzinger J, Keiser J. Urbanization and tropical health-then and now. Ann Trop Med Parasitol. 2006;100(5-6):517-33.
5. Keiser J, Utzinger J, Caldas de Castro M, Smith TA, Tanner M, Singer BH. Urbanization in sub-saharan Africa and implication for malaria control. Am J Trop Med Hyg. 2004;71(2 Suppl):118-27.
6. Robert V, Macintyre K, Keating J, Trape JF, Duchemin JB, Warren M, Beier JC. Malaria transmission in urban sub-Saharan Africa. Am J Trop Med Hyg. 2003;68(2):169-76.
7. Hay SI, Guerra CA, Tatem AJ, Atkinson PM, Snow RW. Urbanization, malaria transmission and disease burden in Africa. Nat Rev Microbiol. 2005;3(1):81-90.
8. Machault V, Vignolles C, Pages F, Gadiaga L, Gaye A, Sokhna C, Trape JF, Lacaux JP, Rogier C. Spatial heterogeneity and temporal evolution of malaria transmission risk in Dakar, Senegal, according to remotely sensed environmental data. Malar J. 2010;9:252.
9. Warren M, Billig P, Bendahmane D, Wijeyaratne P: Malaria in urban and peri-urban areas in sub-Sahara Africa. In: EHP Activity Report 71. 1999.
10. Awolola TS, Oduola AO, Obansa JB, Chukwurar NJ, Unyimadu JP: Anopheles gambiae s.s. breeding in polluted water bodies in urban Lagos, southwestern Nigeria. J Vector Borne Dis. 2007;44(4):241-44.
11. Khaemba BM, Mutani A, Bett MK. Studies of anopheline mosquitoes transmitting malaria in a newly developed highland urban area: a case study of Moi University and its environs. East Afr Med J. 1994;71(3):159-64.
12. Omlin FX, Carlson JC, Ogbunugafor CB, Hassanali A. Anopheles gambiae exploits the treehole ecosystem in western Kenya: A new urban malaria risk? Am J Trop Med Hyg. 2007;77(6 Suppl):264-9.
13. Kasili S, Odemba N, Ngere FG, Kamanza JB, Muema AM, Kutima HL. Entomological assessment of the potential for malaria transmission in Kibera slum of Nairobi, Kenya. J Vector Borne Dis. 2009;46(4):273-9.
14. Sattler MA, Mtasiwa D, Kiama M, Premji Z, Tanner M, Killeen GF, Lengeler C. Habitat characterization and spatial distribution of Anopheles sp. mosquito larvae in Dar es Salaam (Tanzania) during an extended dry period. Malar J. 2005;4:4.
15. Castro MC, Tsuruta A, Kanamori S, Kannady K, Mkude S. Community-based environmental management for malaria control: evidence from a small-scale intervention in Dar es Salaam, Tanzania. Malar J. 2009;8:57.
16. Castro MC, Yamagata Y, Mtasiwa D, Tanner M, Utzinger J, Keiser J, Singer BH. Integrated urban malaria control: a case study in dar es salaam, Tanzania. Am J Trop Med Hyg. 2004;71(2 Suppl):103-17.
17. Wang S-J, Lengeler C, Mtasiwa D, Mshana T, Manane L, Maro G, Tanner M. Rapid Urban Malaria Appraisal (RUMA) II: epidemiology of urban malaria in Dar es Salaam (Tanzania). Malar J. 2006;5:28.
18. Wang S-J, Lengeler C, Smith TA, Vounatsou P, Akogbeto M, Tanner M. Rapid Urban Malaria Appraisal (RUMA) IV: epidemiology of urban malaria in Cotonou (Benin). Malar J. 2006;5:45.
19. Wang S-J, Lengeler C, Smith TA, Vounatsou P, Diadie DA, Pritroipa X, Convelbo N, Kientga M, Tanner M. Rapid urban malaria appraisal (RUMA) I: epidemiology of urban malaria in Ouagadougou. Malar J. 2005;4:43.
20. Bhatt S, Weiss DJ, Cameron E, Bisanzio D, Mappin B, Dalrymple U, Battle KE, Moyes CL, Henry A, Eckhoff PA, et al. The effect of malaria control on Plasmodium falciparum in Africa between 2000 and 2015. Nature. 2015;526(7572):207-11.
21. Gething PW, Van Boeckel TP, Smith DL, Guerra CA, Patil AP, Snow RW, Hay SI. Modelling the global constraints of temperature on transmission of Plasmodium falciparum and P vivax. Parasit Vectors. 2011;4:92.
22. Hay SI, Guerra CA, Gething PW, Patil AP, Tatem AJ, Noor AM, Kabaria CW, Manh BH, Elyazar IR, Brooker S, et al. A world malaria map: Plasmodium falciparum endemicity in 2007. PLoS Med. 2009;6(3):e1000048.
23. Noor AM, Kinyoki DK, Mundia CW, Kabaria CW, Mutua JW, Alegana VA, Fall IS, Snow RW. The changing risk of Plasmodium falciparum malaria infection in Africa: 2000-10: a spatial and temporal analysis of transmission intensity. Lancet. 2014;383(9930):1739-47.
24. Baragatti M, Fournet F, Henry MC, Assi S, Ouedraogo H, Rogier C, Salem G. Social and environmental malaria risk factors in urban areas of Ouagadougou, Burkina Faso. Malar J. 2009;8:13.
25. Machault V, Vignolles C, Pages F, Gadiaga L, Tourre YM, Gaye A, Sokhna C, Trape JF, Lacaux JP, Rogier C. Risk mapping of Anopheles gambiae s.l. densities using remotely-sensed environmental and meteorological data in an urban area: Dakar, Senegal. PLoS ONE. 2012;7(11):e50674.
26. Mushinzimana E, Munga S, Minakawa N, Li L, Feng CC, Bian L, Kitron U, Schmidt C, Beck L, Zhou G, et al. Landscape determinants and remote sensing of anopheline mosquito larval habitats in the western Kenya highlands. Malar J. 2006;5:13.
27. National Bureau of Statistics (NBS), Office of Chief Government Statistician (OCGS) Zanzibar: 2012 Population and housing census: population distribution by administrative units; Key findings. In: Dar es Salaam, Tanzania: NBS and OCGS; 2013.
28. Clyde DF. Malaria in Tanzania. Oxford: Oxford University Press; 1967.
29. Dongus S, Nyika D, Kannady K, Mtasiwa D, Mshinda H, Gosoniu L, Drescher AW, Fillinger U, Tanner M, Killeen GF, et al. Urban agriculture and Anopheles habitats in Dar es Salaam, Tanzania. Geospatial Health. 2009;3(2):189-210.
30. Colonial Development Fund. Malarial Research Scheme. Report on Work Done at Dar es Salaam during the period January 1932-1934. New York: Garden City Press; 1935. p. 1-76.
31. Colony of Tanganyika Territory: Annual medical report for the year 1921-1926. In. Dar es Salaam; 1927.
32. Bang YH, Sabuni IB, Tonn RJ. Integrated control of urban mosquitoes in Dar es Salaam using community sanitation supplemented by larviciding. East Afr Med J. 1975;52(10):578-88.
33. Fillinger U, Kannady K, William G, Vanek MJ, Dongus S, Nyika D, Geissbuhler Y, Chaki PP, Govella NJ, Mathenge EM, et al. A tool box for operational mosquito larval control: preliminary results and early lessons from the Urban Malaria Control Programme in Dar es Salaam, Tanzania. Malar J. 2008;7:20.
34. Maheu-Giroux M, Castro MC. Impact of community-based larviciding on the prevalence of malaria infection in Dar es Salaam, Tanzania. PLoS ONE. 2013;8(8):e71638.
35. Chaki PP, Dongus S, Fillinger U, Kelly A, Killeen GF. Community-owned resource persons for malaria vector control: enabling factors and challenges in an operational programme in Dar es Salaam, United Republic of Tanzania. Hum Resour Health. 2011;9:21.
36. Castro MC, Kanamori S, Kannady K, Mkude S, Killeen GF, Fillinger U. The importance of drains for the larval development of lymphatic filariasis and malaria vectors in Dar es Salaam, United Republic of Tanzania. PLoS Negl Trop Dis. 2010;4(5):e693.
37. Geissbuhler Y, Kannady K, Chaki PP, Emidi B, Govella NJ, Mayagaya V, Kiama M, Mtasiwa D, Mshinda H, Lindsay SW, et al. Microbial larvicide application by a large-scale, community-based program reduces malaria infection prevalence in urban Dar es Salaam, Tanzania. PLoS ONE. 2009;4(3):e5107.
38. Chander G, Markham BL, Helder DL. Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI sensors. Remote Sens Environ. 2009;113(5):893-903.
39. Bwangoy J-RB, Hansen MC, Roy DP, Grandi GD, Justice CO. Wetland mapping in the Congo Basin using optical and radar remotely sensed data and derived topographical indices. Remote Sens Environ. 2010;114(1):73-86.
40. Dong J, Xiao X, Sheldon S, Biradar C, Duong ND, Hazarika M. A comparison of forest cover maps in Mainland Southeast Asia from multiple sources: PALSAR, MERIS, MODIS and FRA. Remote Sens Environ. 2012;127:60-73.
41. Hansen MC, DeFries RS, Townshend JRG, Sohlberg R, Dimiceli C, Carroll M. Towards an operational MODIS continuous field of percent tree cover algorithm: examples using AVHRR and MODIS data. Remote Sens Environ. 2002;83(1-2):303-19.
42. Hansen MC, Roy DP, Lindquist E, Adusei B, Justice CO, Altstatt A. A method for integrating MODIS and Landsat data for systematic monitoring of forest cover and change in the Congo Basin. Remote Sens Environ. 2008;112(5):2495-513.
43. Midekisa A, Senay GB, Wimberly MC. Multisensor earth observations to characterize wetlands and malaria epidemiology in Ethiopia. Water Resour Res. 2014;50(11):8791-806.
44. Archer KJ, Kimes RV. Empirical characterization of random forest variable importance measures. Comput Stat Data Anal. 2008;52(4):2249-60.
45. Breiman L. Random forests. Mach Learn. 2001;45(1):5-32.
46. Liaw A, Wiener M. Classification and regression by randomForest. R News. 2002;2:18-22.
47. Horning N: New open source tools for segment-based classification. http://blog.remote-sensing-conservation.org/author/ned-horning/. Accessed Aug 2014.
48. McFeeters SK. The use of the Normalized Difference Water Index (NDWI) in the delineation of open water features. Int J Remote Sens. 1996;17(7):1425-32.
49. Ministry of Economy Trade and Industry of Japan (METI), National Aeronautics and Space Administration (NASA): ASTER Global Digital Elevation Model (ASTER GDEM). http://www.jspacesystems.or.jp/ersdac/GDEM/E/index.html. Accessed Sept 2014.
50. Evans JS, Oakleaf J, Cushman SA: An ArcGIS toolbox for surface gradient and geomorphometric modeling, version 1.01. http://evansmurphy.wix.com/evansspatial. Accessed Sept 2014.
51. Land Processes Distributed Active Archive Center (LP DAAC), ASA Earth Science Data and Information System (ESDIS): MODIS Terra LST/E Daily L3 Global 1 km Grid product (MOD11A1). https://lpdaac.usgs.gov/dataset_discovery/modis/modis_products_table/mod11a1. Accessed Sept 2014.
52. NOAA Climate Prediction centre (CPC): USAID/Famine Early Systems Network (FEWS): RFE 2.0 rainfall estimates. http://www.cpc.noaa.gov/products/international/data.shtml. Accessed Sept 2014.
53. Snow R, W., Amratia P, Mundia CW, Alegana VA, Kirui VC, Kabaria CW, Noor AM. Assembling a geo-coded repository of malaria infection prevalence survey data in Africa 1900-2014. In: INFORM working paper; 2015.
54. Pull JH, Grab B. A simple epidemiological model for evaluating the malaria inoculation rate and the risk of infection in infants. Bull World Health Organ. 1974;51(5):507-16.
55. Smith DL, McKenzie FE, Snow RW, Hay SI. Revisiting the basic reproductive number for malaria and its implications for malaria control. PLoS Biol. 2007;5(3):e42.
56. Elith J, Graham CH, Anderson RP, Dudík M, Ferrier S, Guisan A, Hijmans RJ, Huettmann F, Leathwick JR, Lehmann A, et al. Novel methods improve prediction of species' distributions from occurrence data. Ecography. 2006;29(2):129-51.
57. Leathwick JR, Francis MP, Hastie T, Taylor P. Variation in demersal fish species richness in the oceans surrounding New Zealand: an analysis using boosted regression trees. Mar Ecol Prog Ser. 2006;321:267-81.
58. Martin V, Pfeiffer DU, Zhou X, Xiao X, Prosser DJ, Guo F, Gilbert M. Spatial distribution and risk factors of highly pathogenic avian influenza (HPAI) H5N1 in China. PLoS Pathog. 2011;7(3):e1001308.
59. Van Boeckel TP, Thanapongtharm W, Robinson T, Biradar CM, Xiao X, Gilbert M. Improving risk models for avian influenza: the role of intensive poultry farming and flooded land during the 2004 Thailand epidemic. PLoS ONE. 2012;7(11):e49528.
60. Schneider A, Friedl MA, Potere D. Mapping global urban areas using MODIS 500-m data: new methods and datasets based on 'urban ecoregions'. Remote Sens Environ. 2010;114(8):1733-46.
61. Linard C, Tatem AJ, Gilbert M. Modelling spatial patterns of urban growth in Africa. Appl Geogr. 2013;44:23-32.
62. Elith J, Leathwick JR, Hastie T. A working guide to boosted regression trees. J Anim Ecol. 2008;77(4):802-13.
63. Ridgeway G. Package 'gbm': Generalized Boosted Regression Models. R package Version 2.1.1; 2015.
64. R Development Core Team: The R Project for Statistical Computing. https://www.r-project.org/.
65. Tatem AJ, Guerra CA, Kabaria CW, Noor AM, Hay SI. Human population, urban settlement patterns and their impact on Plasmodium falciparum malaria endemicity. Malar J. 2008;7:218.
66. Adlaoui E, Faraj C, El Bouhmi M, El Aboudi A, Ouahabi S, Tran A, Fontenille D, El Aouad R. Mapping malaria transmission risk in northern morocco using entomological and environmental data. Malar Res Treat. 2011;2011:391463.
67. Stoler J, Weeks JR, Getis A, Hill AG. Distance threshold for the effect of urban agriculture on elevated self-reported malaria prevalence in Accra, Ghana. Am J Trop Med Hyg. 2009;80(4):547-54.
68. Siri JG, Wilson ML, Murray S, Rosen DH, Vulule JM, Slutsker L, Lindblade KA. Significance of travel to rural areas as a risk factor for malarial anemia in an urban setting. Am J Trop Med Hyg. 2010;82(3):391-7.
69. Rabarijaona LP, Ariey F, Matra R, Cot S, Raharimalala AL, Ranaivo LH, Le Bras J, Robert V, Randrianarivelojosia M. Low autochtonous urban malaria in Antananarivo (Madagascar). Malar J. 2006;5:27.
70. Giardina F, Franke J, Vounatsou P. Geostatistical modelling of the malaria risk in Mozambique: effect of the spatial resolution when using remotely-sensed imagery. Geospatial Health. 2015;10(2):333.
71. Hijmans RJ, Cameron SE, Parra JL, Jones PG, Jarvis A. Very high resolution interpolated climate surfaces for global land areas. Int J Climatol. 2005;25(15):1965-78.
72. Scharlemann JP, Benz D, Hay SI, Purse BV, Tatem AJ, Wint GR, Rogers DJ. Global data for ecology and epidemiology: a novel algorithm for temporal Fourier processing MODIS data. PLoS ONE. 2008;3(1):e1408.
73. Friedman JH, Meulman JJ. Multiple additive regression trees with application in epidemiology. Stat Med. 2003;22(9):1365-81.