Volume 87, Issue 6
  • ISSN: 0002-9637
  • E-ISSN: 1476-1645



A study was conducted in the city of Salto, Uruguay, to identify mosquito-producing containers, the spatial distribution of mosquitoes and the relationship between the different population indices of . On each of 312 premises visited, water-filled containers and immature mosquitoes were identified. The containers were counted and classified into six categories. Pupae per person and indices were calculated. Pupae per person were represented spatially. The number of each type of container and number of mosquitoes in each were analyzed and compared, and their spatial distribution was analyzed. No significant differences in the number of the different types of containers with mosquitoes or in the number of mosquitoes in each were found. The distribution of the containers with mosquito was random and the distribution of mosquitoes by type of container was aggregated or highly aggregated.


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  1. UNDP/World Bank/WHO Special Programme for Research and Training in Tropical Diseases, 2007. Report of the Scientific Working Group. Meeting on Dengue, Geneva, October 1–5, 2006. Geneva: World Health Organization. [Google Scholar]
  2. Guzmán M, Kouri G, Díaz M, Llop A, Vazquez S, Gonzalez D, Castro O, Alvarez A, Fuentes O, Montada D, Padmanabha H, Sierra B, Perez A, Rosario D, Pupo M, Diaz C, Sanchez L, , 2004. Dengue, one of the great emerging health challenges of the 21st century. Expert Rev Vaccines 3: 511520.[Crossref] [Google Scholar]
  3. Kroeger A, Nathan M, Hombach J, , 2004. Dengue. Nat Rev Microbiol 2: 360361.[Crossref] [Google Scholar]
  4. Heintze C, Garrido V, Kroeger A, , 2007. What do community-based dengue control programmes achieve? A systematic review of published evaluations. Trans R Soc Trop Med Hyg 101: 317325.[Crossref] [Google Scholar]
  5. Sanchez L, Cortinas J, Pelaez O, Gutierrez H, Concepción D, Van der Stuyft P, , 2010. Breteau Index threshold levels indicating risk for dengue transmission in areas with low Aedes infestation. Trop Med Int Health 15: 173175.[Crossref] [Google Scholar]
  6. Nathan MB, Knudsen AB, , 1991. Aedes aegypti infestastion characteristics in several Caribbean countries and implications for integrated community-based control. J Am Mosq Control Assoc 7: 400404. [Google Scholar]
  7. Focks DA, Chadee DD, , 1997. Pupal survey: an epidemiologically significant surveillance method for Aedes aegypti: an example using data from Trinidad. Am J Trop Med Hyg 56: 159167. [Google Scholar]
  8. Focks DA, , 2003. A Review of Entomological Sampling Methods and Indicators for Dengue Vectors. Special Program for Research and Training in Tropical Diseasess (TDR), UNICEF, UNDP, World Bank, World Health Organization. Available at: http.//www.who.inr/tdr/publications/publications/pdf/dengue_vectors.pdf. Accessed May 2, 2009. [Google Scholar]
  9. Otero M, Solari HG, Schweigmann N, , 2006. A stochastic population dynamics model for Aedes aegypti: formulation and application to a city with temperate climate. Bull Math Biol 68: 19451974.[Crossref] [Google Scholar]
  10. Salvatella R, , 1997. Aedes aegypti (Diptera, Culicidae). Notificación de su presencia en Uruguay. Rev Med Uruguay 13: 118121. [Google Scholar]
  11. Christophers R, , 1960. Aedes aegypti (L.). The Yellow Fever Mosquito. Cambridge, UK: Cambridge University Press. [Google Scholar]
  12. Focks D, Haile D, Daniels E, Mount G, , 1993. Dynamic life table model for Aedes aegypti (L.) (Diptera: Culicidae). Simulation results and validation. J Med Entomol 30: 10181028.[Crossref] [Google Scholar]
  13. Focks D, Haile D, Mount G, , 1993. Dynamic life table model for Aedes aegypti (L.) (Diptera: Culicidae). Analysis of the literature and model development. J Med Entomol 30: 10031017.[Crossref] [Google Scholar]
  14. García da Rosa E, Lairihoy R, Leivas JC, González W, Paulino D, , 2003. Monitoreo de Aedes aegypti mediante el uso de ovitrampas. Entomol Vect 10: 451456. [Google Scholar]
  15. Willat G, Basmadjián Y, Martínez M, Rosa R, , 2007. Dispersión de Aedes aegypti en el Uruguay. Biol Acuat 23: 79. [Google Scholar]
  16. Ministerio de Salud Pública, 2011. Available at: http://www.msp.gub.uy. Accessed April 12, 2011.
  17. Willat G, Capdevila A, Martínez M, Boga A, , 2003. Evolución de Aedes aegypti en Uruguay, 1997–2003. Entomol Vect 10: 437444. [Google Scholar]
  18. Lebel J, , 2003. La Santé. Une Appproche Écosystématique. Ottawa, Canada: International Development Research Centre. [Google Scholar]
  19. Charron DF, , 2012. Ecohealth Research in Practice. Innovative Applications of an Ecosystem Approach to Health. Ottawa, Canada: Springer-IDRC.[Crossref] [Google Scholar]
  20. Basso C, Romero S, Martínez M, Roche I, Gómez M, Detomasi S, Pereira J, Augusto LG, Carneiro RM, Martins PH, , 2005. Prevención y control del vector del dengue, Aedes aegypti (L.), en Uruguay acudiendo a un enfoque ecosistemático. , eds. Abordagem Ecossistêmica em Saúde. Ensaios Para o Controle de Dengue. Recife, Brazil: Universitária da UFPE, 175185. [Google Scholar]
  21. Basso C, , 2010. Abordaje Ecosistémico para Prevenir y Controlar al Vector del Dengue en Uruguay. Montevideo, Uruguay: Universidad de la República. [Google Scholar]
  22. Darsie RF, Jr, 1985. Mosquitoes of Argentina. Part I. Keys for identification of adult females and fourth stage larvae in English and Spanish (Diptera: Culicidae). Mosq Syst 17: 153253. [Google Scholar]
  23. Souza-Santos R, Carvalho MS, , 2000. Análise da distribuiçao espacial de larvas de Aedes aegypti na Ilha do Governador, Río de Janeiro, Brasil. Cad Saude Publica 16: 3142.[Crossref] [Google Scholar]
  24. Santos SM, Barcellos C, Carvalho MS, Flôres R, , 2001. Detecção de aglomerados espaciais de óbitos por causas violentas em Porto Alegre, Rio Grande do Sul, Brasil, 1996. Cad Saude Publica 17: 11411151.[Crossref] [Google Scholar]
  25. Trpis M, Häusermann W, Craig GB, Jr, 1995. Estimates of population size, dispersal, and longevity of domestic Aedes aegypti (Diptera: Culicidae) by mark-release-recapture in the village of Shauri Moyo in eastern Kenya. J Med Entomol 32: 2733.[Crossref] [Google Scholar]
  26. Sokal RR, Rohlf FJ, , 1998. Biometry: The Principles and Practice of Statistics in Biological Research. New York: W.H. Freeman and Company. [Google Scholar]
  27. Krebs CJ, , 1989. Ecological Methodology. Menlo Park, CA: Addison and Wesley Longman. [Google Scholar]
  28. Hammer ´Ø, Harper DA, Ryan PD, , 2001. PAST: paleontological statistic software package for education and data analysis. Palaeontol Electronica 4: 19. [Google Scholar]
  29. Chadee DD, , 2004. Key premises, a guide to Aedes aegypti (Diptera: Culicidae) surveillance and control. Bull Entomol Res 94: 201207.[Crossref] [Google Scholar]
  30. Arredondo-Jiménez JI, Valdez-Delgado KM, , 2006. Aedes aegypti pupal/demographic surveys in southern Mexico: consistency and practicality. Ann Trop Med Parasitol 100: 1732.[Crossref] [Google Scholar]
  31. Barrera R, Amador M, Clark GG, , 2006. Use of the pupal survey technique for measuring Aedes aegypti (Diptera: Culicidae) productivity in Puerto Rico. Am J Trop Med Hyg 74: 290302. [Google Scholar]
  32. Focks DA, Alexander N, , 2006. Multicounty Study of Aedes aegypti Pupal Productivity Survey Methodology: Findings and Recommendations. Geneva: World Health Organization/Special Programme for Research and Training in Tropical Diseases. [Google Scholar]
  33. Midega JT, Nzovu J, Kahindi S, Sang RC, Mbogo C, , 2006. Application of the pupal/demographic-survey methodology to identify the key container habitats of Aedes aegypti (L.) in Malindi district, Kenya. Ann Trop Med Parasitol 100: 6172.[Crossref] [Google Scholar]
  34. Lenhart AE, Castillo CE, Oviedo M, Villegas E, , 2006. Use of the pupal/demographic-survey technique to identify the epidemiologically important types of containers producing Aedes aegypti (L.) in a dengue-endemic area of Venezuela. Ann Trop Med Parasitol 100: 5359.[Crossref] [Google Scholar]
  35. Chadee DD, Huntley S, Focks DA, Chen AA, , 2009. Aedes aegypti in Jamaica, West Indies: container productivity profiles to inform control strategies. Trop Med Int Health 14: 220227.[Crossref] [Google Scholar]
  36. Reuben R, Das PK, Samuel GD, Brooks GD, , 1978. Estimation of daily emergence of Aedes aegypti (Diptera: Culicidae) in Sonepat, India. J Med Entomol 14: 705714.[Crossref] [Google Scholar]
  37. Birch LC, , 1953. Experimental background to the study of the distribution and abundance of insects: I. The influence of temperature, moisture and food on the innate capacity for increase of three grain beetles. Ecology 34: 698711.[Crossref] [Google Scholar]
  38. Barrera R, Amador M, Clark GG, , 2006. Ecological factors influencing Aedes aegypti (Diptera: Culicidae) productivity in artificial containers in Salinas, Puerto Rico. J Med Entomol 43: 484492.[Crossref] [Google Scholar]
  39. Lagrotta MT, Silva WC, Souza-Santos R, , 2008. Identification of key areas for Aedes aegypti control through geoprocessing in Nova Iguaçu, Rio de Janeiro State, Brazil. Cad Saude Publica 24: 7080.[Crossref] [Google Scholar]
  40. Tauil PL, , 2001. Urbanização e Ecologia do dengue. Cad Saude Publica 17: 99102.[Crossref] [Google Scholar]
  41. Dirección Nacional de Meteorología, 2011. Available at: http://www.meteorologia.gub.uy/index.php/pluviometria. Accessed July 8, 2011.
  42. Bisset JA, Marquetti MC, Suárez S, Rodríguez MM, Padmanabha H, , 2006. Application of the pupal/demographic-survey methodology in an area of Havana, Cuba, with low densities of Aedes aegypti (L.). Ann Trop Med Parasitol 100: 4551.[Crossref] [Google Scholar]

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  • Received : 20 May 2012
  • Accepted : 30 Sep 2012
  • Published online : 05 Dec 2012

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