Spatial and temporal dynamics of Aedes aegypti larval sites in Bello, Colombia

Journal of Vector Ecology

Volumn 37, Issue 1, 2012, Pages 37-48

  Arboleda, Sair ^a   Jaramillo O, Nicolás ^a   Peterson, A Townsend ^b  

^a UNIVERSIDAD DE ANTIOQUIA   (Colombia)

^b UNIVERSITY OF KANSAS   (United States)

Author keywords

Aedes aegypti; Dengue; Distribution; Model; Prediction; Remote sensing

Indexed keywords

AEDES; ANIMAL; ARTICLE; COLOMBIA; DENGUE; DISEASE CARRIER; DISEASE TRANSMISSION; LARVA;

AEDES; ANIMALS; COLOMBIA; DENGUE; INSECT VECTORS; LARVA;

AEDES AEGYPTI;

EID: 84860463114     PISSN: 10811710     EISSN: 19487134     Source Type: Journal    
DOI: 10.1111/j.1948-7134.2012.00198.x     Document Type: Article

References (48)

1. Aldstadt, J., C.J. Koenraadt, T. Fansiri, U. Kijchalao, J. Richardson, J.W. Jones, and T.W. Scott. 2011. Ecological modeling of Aedes aegypti (L.) pupal production in rural Kamphaeng Phet, Thailand. PLoS Negl. Trop. Dis. 5: e940.
2. Anderson, R.P., M. Gómez-Laverde, and A.T. Peterson. 2002. Geographical distributions of spiny pocket mice in South America: insights from predictive models. Global Ecol. Biogeogr. 11: 131-141.
3. Araújo, M.B. and M. New. 2007. Ensemble forecasting of species distributions. Trends Ecol. Evol. 22: 42-47.
4. Arboleda, S., N. Jaramillo-O, and A.T. Peterson. 2009. Mapping environmental dimensions of dengue fever transmission risk in the Aburra Valley, Colombia. Int. J. Environ. Res. Publ. Hlth. 6: 3040-3055.
5. Braks, M.A., N.A. Honório, R. Loureneço-De-Oliveira, S.A. Juliano, and L.P. Lounibos. 2003. Convergent habitat segregation of Aedes aegypti and Aedes albopictus (Diptera: Culicidae) in southeastern Brazil and Florida. J. Med. Entomol. 40: 785-794.
6. Brown, A.W.A. 1977. Yellow fever, dengue and dengue haemorrhagic fever. In: G.M. Howe (ed.) A World Geography of Human Diseases. pp. 271-316. Academic Press, NY.
7. Clements, A.N. 1992. The Biology of Mosquitoes, Chapman and Hall, UK.
8. Connor, M.E. and W.M. Monroe. 1923. Stegomyia indices and their value in yellow fever control. Am. J. Trop. Med. Hyg. 3: 9-19.
9. Christophers, S.R. 1960. Aedes aegypti (L): The Yellow Fever Mosquito, Cambridge University Press, UK.
10. de Castro-Medeiros, L.C., C.A. Castilho, C. Braga, W.V. de Souza, L. Regis, and A.M. Monteiro. 2011. Modeling the dynamic transmission of dengue fever: investigating disease persistence. PLoS Negl Trop Dis 5: e942.
11. de Lima-Camara, T.N., N.A. Honório, and R. Loureneço-de-Oliveira. 2006. Frequency and spatial distribution of Aedes aegypti and Aedes albopictus (Diptera, Culicidae) in Rio de Janeiro, Brazil. Cad. Saude Publ. 22: 2079-2084.
12. Dister, S.W., D. Fish, S.M. Bros, D.H. Frank, and B.L. Wood. 1997. Landscape characterization of peridomestic risk for Lyme disease using satellite imagery. Am. J. Trop. Med. Hyg. 57: 687-692.
13. Estallo, E.L., M.A. Lamfri, C.M. Scavuzzo, F.F. Almeida, M.V. Introini, M. Zaidenberg, and W.R. Almiron. 2008. Models for predicting Aedes aegypti larval indices based on satellite images and climatic variables. J. Am. Mosq. Contr. Assoc. 24: 368-376.
14. Focks, D.A. 2003. A Review of Entomological Sampling Methods and Indicators for Dengue Vectors, World Health Organization, Geneva.
15. Focks D.A. and R. Barrera. 2007. Dengue transmission dynamics: assessment and implications for control. Scientific Working Group, Report on Dengue, 1-5 October 2006, Geneva: World Health Organization. TDR/SWG/08. pp 158. URL: Accessed: 2011-07-12.
16. Focks, D.A. and D.D. Chadee. 1997. Pupal survey: an epidemiologically significant surveillance method for Aedes aegypti: an example using data from Trinidad. Am. J. Trop. Med. Hyg. 56: 159-167.
17. Fox C.W., D.A. Roff, and D.J. Fairbairn. 2001. The Ecological Niche. Evolutionary Ecology: Concepts and Case Studies. Oxford University Press, NY.
18. González, C., O. Wang, S.E. Strutz, C. González-Salazar, V. Sánchez-Cordero, and S. Sarkar. 2010. Climate change and risk of leishmaniasis in North America: predictions from ecological niche models of vector and reservoir species. PLoS Negl. Trop. Dis. 4: e585.
19. Gorla, D. 2002. Variables ambientales registradas por sensores remotos como indicadores de la distribución geográfica de Triatoma infestans. Ecol. Austral 12: 117-127.
20. Gubler, D.J. 1997. Dengue and dengue hemorrhagic fever: its history and resurgence as a global public health problem. In: D.G.G. Kuno (ed.) Dengue and Dengue Hemorrhagic Fever. pp 3-27. CAB International.
21. Guisan, A., N.E. Zimmermann, J. Elith, C.H. Graham, S.J. Phillips, and A.T. Peterson. 2007. What matters for predicting the occurrences of trees: techniques, data, or species' characteristics? Ecol. Monogr. 77: 615-630.
22. Hayes, R.O., E.L. Maxwell, C.J. Mitchell, and T.L. Woodzick. 1985. Detection, identification and classification of mosquito larval habitats using remote sensing scanners in earth-orbiting satellites. Bull. Wld. Hlth. Org. 63: 361-374.
23. Honório, N.A., C.T. Codeço, F.C. Alves, M.A. Magalhães, and R. Lourenço-De-Oliveira. 2009. Temporal distribution of Aedes aegypti in different districts of Rio de Janeiro, Brazil, measured by two types of traps. J. Med. Entomol. 46: 1001-1014.
24. Khatchikian, C., F. Sangermano, D. Kendell, and T. Livdahl. 2010. Evaluation of species distribution model algorithms for fine-scale container-breeding mosquito risk prediction. Med. Vet. Entomol. doi:.
25. Larson, S.R., J.P. DeGroote, L.C. Bartholomay, and R. Sugumaran. 2010. Ecological niche modeling of potential West Nile virus vector mosquito species in Iowa. J. Insect Sci. 10: 110.
26. Linthicum, K.J., A. Anyamba, C.J. Tucker, P.W. Kelley, M.F. Myers, and C.J. Peters. 1999. Climate and satellite indicators to forecast Rift Valley fever epidemics in Kenya. Science 285: 397-400.
27. Lobo, J.M., A. Jiménez-Valverde, and R. Real. 2008. AUC: a misleading measure of the performance of predictive distribution models. Global Ecol. Biogeogr. 17: 145-151.
28. Maciel-de-Freitas, R., C.T. Codeço, and R. Lourenço-de-Oliveira. 2007a. Daily survival rates and dispersal of Aedes aegypti females in Rio de Janeiro, Brazil. Am. J. Trop. Med. Hyg. 76: 659-665.
29. Maciel-de-Freitas, R., W.A. Marques, R.C. Peres, S.P. Cunha, and R.L. de Oliveira. 2007b. Variation in Aedes aegypti (Diptera: Culicidae) container productivity in a slum and a suburban district of Rio de Janeiro during dry and wet seasons. Mem. Inst. Oswaldo Cruz 102: 489-496.
30. Moffett, A., N. Shackelford, and S. Sarkar. 2007. Malaria in Africa: vector species' niche models and relative risk maps. PLoS ONE 2: e824.
31. Ortega-Huerta, M. and A.T. Peterson. 2008. Modeling ecological niches and predicting geographic distributions: a test of six presence-only methods. Rev. Mex. Biodivers. 79: 205-216.
32. PAHO. 1999. Regional Guidelines on Dengue/DHF Prevention and Control. Geneva: World Health Organization.
33. Pearson, R.G., W. Thuiller, M.B. Araújo, E. Martínez-Meyer, L. Brotons, C. McClean, L. Miles, P. Segurado, T.P. Dawson, and D.C. Lees. 2006. Model-based uncertainty in species range prediction. J. Biogeogr. 33: 1704-1711.
34. Peterson, A.T. and K.P. Cohoon. 1999. Sensitivity of distributional prediction algorithms to geographic data completeness. Ecol. Model. 117: 159-164.
35. Peterson, A.T., C. Martínez-Campos, Y. Nakazawa, and E. Martínez-Meyer. 2005. Time-specific ecological niche modeling predicts spatial dynamics of vector insects and human dengue cases. Trans. R. Soc. Trop. Med. Hyg. 99: 647-655.
36. Peterson, A.T., M. Papeş, and M. Eaton. 2007. Transferability and model evaluation in ecological niche modeling: a comparison of GARP and Maxent. Ecography 30: 550-560.
37. Peterson, A.T., M. Papeş, and J. Soberón. 2008. Rethinking receiver operating characteristic analysis applications in ecological niche modeling. Ecol. Model. 213: 63-72.
38. Peterson, A.T., J. Soberón, R.G. Pearson, R.P. Anderson, E. Martínez-Meyer, M. Nakamura, and M.B. Araújo. 2011. Ecological Niches and Geographic Distributions, Princeton University Press, Princeton.
39. Pham, H.V., H.T.M. Doan, T.T.T. Phan, and N.N. Tran Minh. 2011. Ecological Factors Associated with Dengue Fever in a Central Highlands Province, Vietnam. BMC Infect. Dis. 11: 172.
40. Phillips, S.J., R.P. Anderson, and R.E. Schapire. 2006. Maximum entropy modeling of species geographic distributions. Ecol. Model. 190: 231-259.
41. Regis, L., A.M. Monteiro, M.A. Melo-Santos, J.C. Silveira Jr., AF Furtado, R.V. Acioli, G.M. Santos, M. Nakazawa, M.S. Carvalho, P.J. Ribeiro Jr., and W.V. Souza. 2008. Developing new approaches for detecting and preventing Aedes aegypti population outbreaks: basis for surveillance, alert and control system. Mem. Inst. Oswaldo Cruz 103: 50-59.
42. Scott, T.W. and A.C. Morrison. 2003. Aedes aegypti density and the risk of dengue virus transmission. In: W. Takken and T.W. Scott (eds.) Ecological Aspects for Application of Genetically Modified Mosquitoes. pp. 187-206. Kluwer Academic Publishers.
43. Soper FL. 1967. The prospects for Aedes aegypti eradication in Asia in the light of its eradication in Brazil. Bull. World Health Organ. 36: 645-647.
44. Stockwell, D.R.B. and D. Peters. 1999. The GARP modeling system: problems and solutions to automated spatial predictions. Int. J. Geogr. Inform. Sci. 13: 143-158.
45. Tun-Lin, W., B.H. Kay, A. Barnes, and S. Forsyth. 1996. Critical examination of Aedes aegypti indices: correlations with abundance. Am. J. Trop. Med. Hyg. 54: 543-547.
46. WHO. 1997. Vector Surveillance and Control. Dengue Hemorrhagic Fever: Diagnosis, Treatment, Prevention and Control. 2nd ed. World Health Organization, Geneva.
47. Wisz, M.S., R. Hijmans, J. Li, A.T. Peterson, C.H. Graham, and A. Guisan. 2008. Effects of sample size on the performance of species distribution models. Divers. Distrib. 14: 763-773.
48. Wood, B.L., L.R. Beck, J.G. Lawless, and J.F. Vesecky. 1992. Preliminary considerations for a small satellite to monitor environmental change associated with vector-borne disease. J. Imaging. Sci. Tech. 36: 431-439.