1921
Volume 82, Issue 2
  • ISSN: 0002-9637
  • E-ISSN: 1476-1645

Abstract

Abstract.

Environmental risk factors for cutaneous leishmaniasis were investigated for the largest outbreak recorded in Colombia. The outbreak began in 2003 in Chaparral, and in the following five years produced 2,313 cases in a population of 56,228. Candidate predictor variables were land use, elevation, and climatic variables such as mean temperature and precipitation. Spatial analysis showed that incidence of cutaneous leishmaniasis was higher in townships with mean temperatures in the middle of the county's range. Incidence was independently associated with higher coverage with forest or shrubs (2.6% greater for each additional percent coverage, 95% credible interval [CI] = 0.5–4.9%), and lower population density (22% lower for each additional 100 persons/km, 95% CI = 7–41%). The extent of forest or shrub coverage did not show major changes over time. These findings confirmed the roles of climate and land use in leishmaniasis transmission. However, environmental variables were not sufficient to explain the spatial variation in incidence.

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References

  1. Beck LR, Lobitz BL, Wood BL, , 2000 Remote sensing and human health: new sensors and new opportunities. Emerg Infect Dis 6: 217227.[Crossref] [Google Scholar]
  2. Peterson AT, Shaw J, , 2003 Lutzomyia vectors for cutaneous leishmaniasis in southern Brasil: ecological niche models, predicted geographic distributions, and climate change effects. Int J Parasitol 33: 919931.[Crossref] [Google Scholar]
  3. Brownstein JS, Skelly DK, Holford TR, Fish D, , 2005 Forest fragmentation predicts local scale heterogeneity of Lyme disease risk. Oecologia 146: 469475.[Crossref] [Google Scholar]
  4. Brownstein JS, Holford TR, Fish D, , 2003 A climate-based model predicts the spatial distribution of the lyme disease vector Ixodes scapularis in the United States. Environ Health Perspect 111: 11521157.[Crossref] [Google Scholar]
  5. Cárdenas R, Sandoval CM, Rodríguez-Morales AJ, Franco-Paredes C, , 2006 Impact of climate variability in the occurrence of leishmaniasis in northeastern Colombia. Am J Trop Med Hyg 75: 273277. [Google Scholar]
  6. Malone JB, Yilma JM, McCarroll JC, Erko B, Mukaratirwa S, Zhou X, , 2001 Satellite climatology and the environmental risk of Schistosoma mansoni in Ethiopia and east Africa. Acta Trop 79: 5972.[Crossref] [Google Scholar]
  7. Gebre-Michael T, Malone JB, Balkew M, Ali A, Berhe N, Hailu A, Herzi AA, , 2004 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 90: 7386.[Crossref] [Google Scholar]
  8. Silue KD, Raso G, Yapi A, Vounatsou P, Tanner M, N’goran EK, Utzinger J, , 2008 Spatially-explicit risk profiling of Plasmodium falciparum infections at a small scale: a geostatistical modelling approach. Malar J 7: 111.[Crossref] [Google Scholar]
  9. Feliciangeli MD, Delgado O, Suarez B, Bravo A, , 2006 Leishmania and sand flies: proximity to woodland as a risk factor for infection in a rural focus of visceral leishmaniasis in west central Venezuela. Trop Med Int Health 11: 17851791.[Crossref] [Google Scholar]
  10. King RJ, Campbell-Lendrum DH, Davies CR, , 2004 Predicting geographic variation in cutaneous leishmaniasis, Colombia. Emerg Infect Dis 10: 598607.[Crossref] [Google Scholar]
  11. Elnaiem DE, Schorscher J, Bendall A, Obsomer V, Osman ME, Mekkawi AM, Connor SJ, Ashford RW, Thomson MC, , 2003 Risk mapping of visceral leishmaniasis: the role of local variation in rainfall and altitude on the presence and incidence of kala-azar in eastern Sudan. Am J Trop Med Hyg 6: 1017. [Google Scholar]
  12. Sudhakar S, Srinivas T, Palit A, Kar SK, Battacharya SK, , 2006 Mapping of risk prone areas of kala-azar (visceral leishmaniasis) in parts of Bihar State, India: an RS and GIS approach. J Vector Borne Dis 43: 115122. [Google Scholar]
  13. Walsh JF, Molyneaux DH, Birley MH, , 1993 Deforestation: effects on vector-borne disease. Parasitology 106: 5575.[Crossref] [Google Scholar]
  14. Shaw J, , 1999 The Relationship of Sand Fly Ecology to the Transmission of Leishmaniasis in South America with Particular Reference to Brazil. Gainesville, FL: Associated Publishers. [Google Scholar]
  15. Davies CR, Reithinger R, Campbell-Lendrum D, Feliciangeli D, Borges R, Rodriguez N, , 2000 The epidemiology and control of leishmaniasis in Andean countries. Cad Saude Publica 16: 925950.[Crossref] [Google Scholar]
  16. Zambrano P, , 2007 Comportamiento de la leishmaniasis en Colombia. Biomedica (Bogota) 27: 8384. [Google Scholar]
  17. Bejarano E, , 2006 Lista actualizada de Los psicódidos (Diptera: Psychodidae) de Colombia. Fla Entomol 45: 4756. [Google Scholar]
  18. Cabrera OL, Mosquera L, Santamaría E, Ferro C, , 2009 Flebótomos (Diptera: Psychodidae) del departamento de Guaviare, Colombia con nuevos registros para el país. Biomedica (Bogota) 29: 7386.[Crossref] [Google Scholar]
  19. Lewis DJ, Ward RD, , 1987 Transmission and Vectors. New York: Academic Press. [Google Scholar]
  20. Killick-Kendrick R, , 1990 Phlebotomus vectors of the leishmaniases: a review. Med Vet Entomol 4: 124.[Crossref] [Google Scholar]
  21. Corredor A, Kreutzer R, Tesh R, Boshell J, Palau M, Duque S, Pelaez D, Rodriguez G, Nicholls RS, Hernandez CA, Morales A, Young DG, Ferro C, , 1990 Distribution and etiology of leishmaniasis in Colombia. Am J Trop Med Hyg 42: 206214. [Google Scholar]
  22. Muñoz G, , 1998 The Sandfly Vectors and Epidemiology of Cutaneous Leishmaniasis in the Landázuri Focus, Colombia. PhD. Thesis. London: University of London. [Google Scholar]
  23. Saravia NG, Weigle K, Navas C, Segura I, Valderrama L, Valencia AZ, Escorcia B, McMahon-Pratt D, , 2002 Heterogeneity geographic distribution and pathogenicity of serodemes of Leishmania (Viannia) in Colombia. Am J Trop Med Hyg 66: 738744. [Google Scholar]
  24. Ovalle C, Porras L, Rey M, Ríos M, Camargo Y, , 2006 Distribución geográfica de especies de Leishmania aisladas de pacientes consultantes al Instituto Nacional de Dermatología Federico Lleras Acosta, ESE, 1995–2005. Biomedica (Bogota) 26: 145151.[Crossref] [Google Scholar]
  25. Morales DF, Castaño CS, Lozano EA, Vallejo HJ, , 2004 Descripción de la epidemia de leishmaniasis cutánea en Chaparral y San Antonio, 2003 y 2004 (semana 24). Inform Quinc J Epidemiol Nac 9: 177192. [Google Scholar]
  26. Rodríguez-Barraquer I, Góngora R, Prager M, Pacheco R, Montero LM, Navas A, Ferro C, Miranda MC, Saravia NG, , 2008 Etiologic agent of an epidemic of cutaneous leishmaniasis in Tolima, Colombia. Am J Trop Med Hyg 78: 276282. [Google Scholar]
  27. Pardo RH, Cabrera OL, Becerra J, Fuya P, Ferro C, , 2006 Lutzomyia longiflocosa, posible vector en un foco de Leishmaniasis cutánea en la región subandina del departamento del Tolima, Colombia, y el conocimiento que tiene la población sobre este insecto. Biomedica (Bogota) 26: 95108.[Crossref] [Google Scholar]
  28. Pardo R, Ferro C, Lozano G, Lozano C, Cabrera O, Davies CR, , 1999 Flebótomos (Diptera: Psychodidae) Vectores de Leishmaniasis Cutánea y sus Determinantes Ecológicos en la zona Cafetera del Departamento del Huila. Memorias XXVI Congreso de la Sociedad Colombiana de Entomología, 147163. [Google Scholar]
  29. Cárdenas R, Romo G, Santamaría E, Bello F, Ferro C, , 1999 Lutzomyia longiflocosa (Diptera: Psychodidae) posible vector en el foco de leishmaniasis cutánea del municipio de Planadas, zona cafetera del Tolima. Biomedica (Bogota) 19: 239244.[Crossref] [Google Scholar]
  30. Cárdenas R, Pabón E, Anaya H, Sandoval C, , 2005a. Presencia de Lutzomyia longiflocosa (Diptera: Psychodidae) en el foco de leishmaniasis tegumentaria del municipio de Abrego, Norte de Santander. Primer registro para el departamento. Clon Rev Inst Fac Salud Univ Pamplon 3: 714. [Google Scholar]
  31. CIAF, 2005 Interpretación Visual de Imagenes de Sensores Remotos y su Aplicación en Levantamientos de Coberturas y Uso de la Tierra. Bogotá: Instituto Geográfico Agustín Codazzi. [Google Scholar]
  32. Wilkie DS, Finn JT, , 1996 Remote Sensing Imagery for Natural Resource Monitoring. New York: Columbia University Press. [Google Scholar]
  33. Franke CR, Ziller M, Staubach C, Latif M, , 2002 Impact of the el niño/southern oscillation on visceral leishmaniasis, Brazil. Emerg Infect Dis 8: 914917.[Crossref] [Google Scholar]
  34. Bavia ME, Carneiro DD, Gurgel-Hda C, Madureira-Filho C, Barbosa MG, , 2005 Remote sensing and geographic information systems and risk of American visceral leishmaniasis in Bahia, Brazil. Parassitologia 47: 165169. [Google Scholar]
  35. Chaves LF, Pascual M, , 2006 Climate cycles and forecasts of cutaneous leishmaniasis, a nonstationary vector-borne disease. PLoS Med 3: e295.[Crossref] [Google Scholar]
  36. Cardenas R, Sandoval CM, Rodriguez-Morales AJ, Vivas P, , 2008 Zoonoses and climate variability. The example of leishmaniasis in southern departments of Colombia. Ann NY Acad Sci 1149: 326330.[Crossref] [Google Scholar]
  37. Mooney HA, Bullock SH, Medina E, , 1995 Introduction. Seasonally Dry Tropical Forests . Cambridge, UK: Cambridge University Press.[Crossref] [Google Scholar]
  38. Alexander N, Parra-Henao G, , 2007 Uses of entropy in medical research. CES Med 21: 6575. [Google Scholar]
  39. MacPherson DW, Gushulak BD, Macdonald L, , 2007 Health and foreign policy: influences of migration and population mobility. Bull World Health Organ 85: 200206.[Crossref] [Google Scholar]
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Appendix

  • Received : 27 Apr 2009
  • Accepted : 17 Aug 2009
  • Published online : 05 Feb 2010

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