Mapping, Bayesian Geostatistical Analysis and Spatial Prediction of Lymphatic Filariasis Prevalence in Africa

PLoS ONE

Volumn 8, Issue 8, 2013, Pages

  Slater, Hannah ^a   Michael, Edwin ^b  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

^b UNIVERSITY OF NOTRE DAME   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AFRICA; ALTITUDE; ARTICLE; BAYES THEOREM; CLIMATE CHANGE; ENVIRONMENTAL FACTOR; GEOGRAPHIC DISTRIBUTION; GEOGRAPHIC MAPPING; GEOSTATISTICAL ANALYSIS; HUMAN; LYMPHATIC FILARIASIS; MAJOR CLINICAL STUDY; POPULATION DENSITY; POPULATION GROWTH; PREDICTION; PREVALENCE; SPATIAL ANALYSIS; SPATIAL AUTOCORRELATION ANALYSIS; STATISTICAL MODEL;

AFRICA; BAYES THEOREM; ELEPHANTIASIS, FILARIAL; ENVIRONMENT; GEOGRAPHIC MAPPING; HUMANS; MODELS, STATISTICAL; PREVALENCE; REPRODUCIBILITY OF RESULTS; SPATIO-TEMPORAL ANALYSIS;

EID: 84881534784     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0071574     Document Type: Article

References (91)

1. Zhou XN, Yang GJ, Yang K, Wang XH, Hong QB, et al. (2008) Potential impact of climate change on schistosomiasis transmission in China. American Journal of Tropical Medicine and Hygiene 78: 188-194.
2. Brooker S, Michael E (2000) The potential of geographical information systems and remote sensing in the epidemiology and control of human helminth infections. Advances in Parasitology: Academic Press. 245-288.
3. Srividya A, Michael E, Palaniyandi M, Pani SP, Das PK, (2002) A geostatistical analysis of the geographic distribution of filariasis infection prevalence in Southern India. American Journal of Tropical Medicine and Hygiene 67: 480-489.
4. Clements AC, Lwambo NJ, Blair L, Nyandindi U, Kaatano G, et al. (2006) Bayesian spatial analysis and disease mapping: tools to enhance planning and implementation of a schistosomiasis control programme in Tanzania. Tropical Medicine and International Health 11: 490-503.
5. Clements ACA, Brooker S, Nyandindi U, Fenwick A, Blair L, (2008) Bayesian spatial analysis of a national urinary schistosomiasis questionnaire to assist geographic targeting of schistosomiasis control in Tanzania, East Africa. International Journal for Parasitology 38: 401-415.
6. Raso G, Matthys B, N'Goran EK, Tanner M, Vounatsou P, et al. (2005) Spatial risk prediction and mapping of Schistosoma mansoni infections among schoolchildren living in western Côte d'Ivoire. Parasitology 131: 97-108.
7. Beck-Worner C, Raso G, Vounatsou P, N'Goran EK, Rigo G, et al. (2007) Bayesian spatial risk prediction of Schistosoma mansoni infection in western Cote d'Ivoire using a remotely-sensed digital elevation model. American Journal of Tropical Medicine and Hygiene 76: 956-963.
8. Guerra CA, Gikandi PW, Tatem AJ, Noor AM, Smith DL, et al. (2008) The limits and intensity of Plasmodium falciparum transmission: implications for malaria control and elimination worldwide. PLoS Medicine 5: e38.
9. Wardrop NA, Atkinson PM, Gething PW, Fevre EM, Picozzi K, et al. (2010) Bayesian geostatistical analysis and prediction of Rhodesian human African trypanosomiasis. PLoS Neglected Tropical Diseases 4: e914.
10. Kitron U, (2000) Risk maps: transmission and burden of vector-borne diseases. Parasitology Today 16: 324-325.
11. Rogers DJ, Randolph SE, Snow RW, Hay SI, (2002) Satellite imagery in the study and forecast of malaria Nature. 415: 710-715.
12. Hales S, de Welt N, Maindonald J, Woodward A, (2002) Potential effect of population and climate changes on global distribution of dengue fever: an empirical model. Lancet 360: 830-834.
13. Hay SI, Omumbo JA, Craig MH, Snow RW, (2000) Earth observation, geographical information systems and Plasmodium falciparum malaria in sub-Saharan Africa. Advances in Parasitology 47: 174-215.
14. WHO (1998) Research on Rapid Geographical Assessment of Bancroftian Filariasis. TDR/TDF/COMDT/98.2.
15. Richards FO, (1993) Use of geographic information systems in control programs for onchocerciasis in Guatemala. Bulletin of the Pan American Health Organization 27: 52-55.
16. Robinson TP, (1998) Geographic Information Systems and the selection of priority areas for control of tsetse-transmitted trypanosomiasis in Africa. Parasitology Today 14: 457-461.
17. Mott KE, Nuttall I, Desjeux P, Cattand P, (1995) New geographical approaches to control of some parasitic zoonoses. Bulletin of the World Health Organization 73: 247-257.
18. Kazembe L, Kleinschmidt I, Holtz T, Sharp B, (2006) Spatial analysis and mapping of malaria risk in Malawi using point-referenced prevalence of infection data. International Journal of Health Geographics 5: 41.
19. Kitron U, (1998) Landscape ecology and epidemiology of vector-borne diseases: tools for spatial analysis. Journal of Medical Entomology 35: 435-445.
20. Brooker S, (2007) Spatial epidemiology of human schistosomiasis in Africa: risk models, transmission dynamics and control. Transactions of the Royal Society of Tropical Medicine and Hygiene 101: 1-8.
21. Brooker S, Michael E, (2000) The potential of geographical information systems and remote sensing in the epidemiology and control of human helminth infections. Advances in Parasitology 47: 246-288.
22. Thompson DF, Malone JB, Harb M, Faris R, Huh OK, et al. (1996) Bancroftian filariasis distribution and diurnal temperature differences in the southern Nile delta. Emerging Infectious Diseases 2: 234-235.
23. Townson H, Nathan MB, Zaim M, Guillet P, Manga L, et al. (2005) Exploiting the potential of vector control for disease prevention. Bulletin of the World Health Organization 83: 942-947.
24. Ottesen EA, Duke BO, Karam M, Behbehani K, (1997) Strategies and tools for the control/elimination of lymphatic filariasis. Bulletin of the World Health Organization 75: 491-503.
25. CDC (1993) Recommendations of the International Task Force for Disease Eradication. Morbidity and Mortality Weekly Report 42: 1-38.
26. Ottesen EA, (2000) The global programme to eliminate lymphatic filariasis. Tropical Medical and International Health 5: 591-594.
27. Ottesen EA, (2006) Lymphatic filariasis: Treatment, control and elimination. Advances in Parasitology 61: 395-441.
28. Brinkmann UK, (1976) Epidemiological investigations of Bancroftian filariasis in the Coastal Zone of Liberia Tropenmedizin und Parasitologie. 28: 71-76.
29. Juminer B, Diallo S, Diagne S, (1971) Le foyer de filariose lymphatique du secteur de Sandiara (Senegal). 1. Evaluation de l'endemicite. Achives de l'Institut Pasteur de Tunis 48: 231-246.
30. Lamontellerie M, (1972) Resultats d'enquetes sur les filarioses dans l'Ouest de la Huate-Volta (Cerle de Banfora). Annales de Parasitologie Humaine et Comparee (Paris) 47: 743-838.
31. Sowilem MM, Bahgat IM, el-Kady GA, el-Sawaf BM, (2006) Spectral and landscape characterization of filarious and non-filarious villages in Egypt. Journal of the Egyptian Society for Parasitology 36: 373-388.
32. Wijers DJB, (1977) Bancroftian filariasis in Kenya. I. Prevalence survey among adult males in the Coast Province. Annals of Tropical Medicine and Parasitology 71: 313-331.
33. Gyapong JO, Kyelem D, Kleinschmidt I, Agbo K, Ahouandogbo F, et al. (2002) The use of spatial analysis in mapping the distribution of bancroftian filariasis in four West African countries. Annals of tropical medicine and parasitology 96: 695-705.
34. Meyrowitsch DW, Nguyen DT, Hoang TH, Nguyen TD, Michael E, (1998) A review of the present status of lymphatic filariasis in Vietnam. Acta Tropica 70: 335-347.
35. Michael E, Bundy DAP, (1997) Global mapping of lymphatic filariasis. Parasitology Today 13: 472-476.
36. Sabesan S, Palaniyandi M, Michael E, Das PK, (2000) Mapping lymphatic filariasis at the district-level in India. Annals of Tropical Medicine and Parasitology 94: 591-606.
37. Beau de Rochars MV, Milord MD, St Jean Y, Desormeaux AM, Dorvil JJ, et al. (2004) Geographic distribution of lymphatic filariasis in Haiti. American Journal of Tropical Medicine and Hygiene 71: 598-601.
38. Lindsay SW, Thomas CJ, (2000) Mapping and estimating the population at risk from lymphatic filariasis in Africa. Transactions of the Royal Society of Tropical Medicine and Hygiene 94: 37-45.
39. Diggle PJ, Tawn JA, Moyeed RA, (1998) Model-based geostatistics. Journal of the Royal Statistical Society: Series C (Applied Statistics) 47: 299-350.
40. Paterson S, Lello J, (2003) Mixed models: getting the best use of parasitological data. Trends in Parasitology 19: 370-375.
41. Dormann CF, McPherson JM, Araújo MB, Bivand R, Bolliger J, et al. (2007) Methods to account for spatial autocorrelation in the analysis of species distributional data: a review. Ecography 30: 609-628.
42. Christensen OF, Ribeiro Jr PJ, (2002) geoRglm: A package for generalised linear spatial models. R News 2: 26-28.
43. Belitz C, Brezger A, Kneib T, Lang S (2009) BayesX- Software for Bayesian inference in structured additive regression models. Version 201 Available: http://www.stat.uni-muenchen.de/~bayesx/bayesx.html. Accessed 2011 Jun 05.
44. Lunn DJ, Thomas A, Best N, Spiegelhalter D, (2000) WinBUGS- A Bayesian modelling framework: Concepts, structure, and extensibility. Statistics and Computing 10: 325-337.
45. Breslow NE, Clayton DG, (1993) Approximate Inference in Generalized Linear Mixed Models. Journal of the American Statistical Association 88: 9-25.
46. Zhang H, (2002) On Estimation and Prediction for Spatial Generalized Linear Mixed Models. Biometrics 58: 129-136.
47. Buckland ST, Elston DA, (1993) Empirical Models for the Spatial Distribution of Wildlife. Journal of Applied Ecology 30: 478-495.
48. Wang XH, Zhou XN, Vounatsou P, Chen Z, Utzinger J, et al. (2008) Bayesian Spatio-Temporal Modeling of Schistosoma japonicum Prevalence Data in the Absence of a Diagnostic 'Gold' Standard. PLoS Negl Trop Dis 2: e250.
49. Staubach C, Schmid V, Knorr-Held L, Ziller M, (2002) A Bayesian model for spatial wildlife disease prevalence data. Preventive Veterinary Medicine 56: 75-87.
50. Kleinschmidt I, Bagayoko M, Clarke GPY, Craig M, Le Sueur D, (2000) A spatial statistical approach to malaria mapping. International Journal of Epidemiology 29: 355-361.
51. Michael E, Bundy DA, Grenfell BT, (1996) Re-assessing the global prevalence and distribution of lymphatic filariasis. Parasitology 112: 409-428.
52. Hassan AN, Dister S, Beck L, (1998) Spatial analysis of lymphatic filariasis distribution in the Nile Delta in relation to some environmental variables using geographic information system technology. J Egypt Soc Parasitol 28: 119-131.
53. Lardeux F, Cheffort J (1997) Temperature thresholds and statistical modelling of larval Wuchereria bancrofti (Filariidea:Onchocercidae) developmental rates. Parasitology 114 123-134.
54. Patz JA, Campbell-Lendrum D, Holloway T, Foley JA, (2005) Impact of regional climate change on human health. Nature 438: 310-317.
55. Lafferty KD, (2009) The Ecology of Climate Change and Infectious Diseases. Ecology 90: 888-900.
56. McMichael AJ, (2003) Global climate change: will it affect vector-borne infectious diseases? Internal medicine journal 33: 554-555.
57. Michael E, Malecela MN, Zervos M, Kazura JW, (2008) Global eradication of lymphatic filariasis: the value of chronic disease control in parasite elimination programmes. PLoS One 3: e2936.
58. Anderson RM, May RM (1992) Infectious Diseases of Humans. Dynamics and Control. Oxford: Oxford University Press.
59. Mills JN, Gage KL, Khan AS (2010) Potential influence of climate change on vector-borne and zoonotic diseases: a review and proposed research plan. Environmental Health Perspectives.
60. Hijmans R, J., Cameron S, E., Parra J, L., Jones P, G., Jarvis A, (2005) Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology 25: 1965-1978.
61. Diggle PJ, Ribeiro PJ, Christensen OF (2003) An introduction to model-based geostatistics. In: Moller J, editor. Spatial statistics and computational methods Lecture notes in statistics. New York: Springer. 43-86.
62. Ribeiro PJ, Christensen OF, Diggle PJ (2003) Geostatistical software- geoR and geoRglm. DSC 2003 Working Papers.
63. Spiegelhalter TD, Best N, Lunn D (2007) WinBUGS User Manual Version 1.4.3. [Online] Available: http://www.mrc-bsu.cam.ac.uk/bugs/winbugs/contents.shtml. Accessed 2011 June 5.
64. Gelman A, Rubin DB, (1992) Inference from iterative simulation using multiple sequences. Statistical Science 7: 457-511.
65. Austin PC, Tu JV, (2004) Bootstrap Methods for Developing Predictive Models. The American Statistician 58: 131-137.
66. Craig M, Sharp B, Mabaso M, Kleinschmidt I, (2007) Developing a spatial-statistical model and map of historical malaria prevalence in Botswana using a staged variable selection procedure. International Journal of Health Geographics 6: 44.
67. Akaike H, (1974) A new look at the statistical model identification. IEEE Transactions on Automatic Control 19: 716-723.
68. Spiegelhalter DJ, Best NG, Carlin BP, van der Linde A, (2002) Bayesian measures of model complexity and fit. Journal of the Royal Statistical Society Series B (Statistical Methodology) 64: 583-639.
69. Silue KD, Raso G, Yapi A, Vounatsou P, Tanner M, et al. (2008) Spatially-explicit risk profiling of Plasmodium falciparum infections at a small scale: a geostatistical modelling approach. Malaria Journal 7: 111.
70. IPCC editor (2007) Climate Change 2007: The Physical Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. CambridgeUK: Cambridge University Press. 996 p.
71. Babyak MA, (2004) What you see may not be what you get: a brief, nontechnical introduction to overfitting in regression-type models. Psychosometric Medicine 66: 411-421.
72. Susser M, (1991) What is a Cause and How Do We Know One? A Grammar for Pragmatic Epidemiology. American Journal of Epidemiology 133: 635-648.
73. Galea S, Riddle M, Kaplan GA, (2010) Causal thinking and complex system approaches in epidemiology. International Journal of Epidemiology 39: 97-106.
74. Ngwira B, Tambala P, Perez AM, Bowie C, Molyneux D, (2007) The geographical distribution of lymphatic filariasis infection in Malawi. Filaria Journal 6: 12.
75. Onapa AW, Simonsen PE, Baehr I, Pedersen EM, (2005) Rapid assessment of the geographical distribution of lymphatic filariasis in Uganda, by screening of schoolchildren for circulating filarial antigens. Annals of Tropical Medicine and Parasitology 99: 141-153.
76. Martens WJM, Jetten TH, Focks DA, (1997) Sensitivity of Malaria, Schistosomiasis and Dengue to global warming. Climatic Change 35: 145-156.
77. Patz JA, Confalonieri UEC, Amerasinghe FP, Chua KB, Daszak P, et al. (2005) Ecosystem regulation of infectious diseases. In: Hassan R, Scholes R, Ash N, editors. Ecosystems and Human Well-Being: Curent State and Trends. Washington, D.C.: Island Press, Millennium Ecosystem Assessment Series. 391-415.
78. Ellis BR, Wilcox BA, (2009) The ecological dimensions of vector-borne disease research and control. Cadernos de Saúde Pública 25: S155-S167.
79. Michael E, Malecela-Lazaro MN, Simonsen PE, Pedersen EM, Barker G, et al. (2004) Mathematical modelling and the control of lymphatic filariasis. Lancet Infectious Diseases 4: 223-234.
80. Kearney M, Porter W, (2009) Mechanistic niche modelling: combining physiological and spatial data to predict species' ranges. Ecology Letters 12: 334-350.
81. Awerbuch T, Kiszewski AE, Levins R (2002) Surprise, nonlinearity and complex behaviour In: Martens P, McMichael AJ, editors. Environmental Change, Climate and Health. Cambridge: Cambridge University Press. pp. 96-119.
82. Béguin A, Hales S, Rocklöv J, Åström C, Louis VR, et al. (2011) The opposing effects of climate change and socio-economic development on the global distribution of malaria. Global Environmental Change 21: 1209-1214.
83. Tol RSJ, Ebi KL, Yohe GW, (2007) Infectious disease, development, and climate change: a scenario analysis. Environment and Development Economics 12: 687-706.
84. Bosello F, Roson R, Tol RSJ, (2006) Economy-wide estimates of the implications of climate change: human health. Ecological Economics 58: 579-591.
85. Tol RSJ, Dowlatabadi H, (2001) Vector-borne diseases, development & climate change. Integrated Assessment 2: 173-181.
86. Campbell-Lendrum D, Woodruff R, (2006) Comparative risk assessment of the burden of disease from climate change. Environmental Health Perspectives 114: 1935-1941.
87. Beven K, (2007) Towards integrated environmental models of everywhere: uncertainty, data and modelling as a learning process. Hydrology and Earth System Sciences Discussions 11: 460-467.
88. WHO (2004a) Lymphatic filariasis elimination in the African region: progress report. WHO, Congo Brazaville.
89. Gosoniu L, Vounatsou P, Sogoba N, Smith T, (2006) Bayesian modelling of geostatistical malaria risk data. Geospat Health 1: 127-139.
90. Clements ACA, Bosqué-Oliva E, Sacko M, Landouré A, Dembélé R, et al. (2009) A comparative study of the spatial distribution of Schistosomiasis in Mali in 1984-1989 and 2004-2006. PLoS Neglected Tropical Diseases 3: e431.
91. Gambhir M, Michael E, (2008) Complex ecological dynamics and eradicability of the vector borne macroparasitic disease, lymphatic filariasis. PLoS One 3: e2874.