EcoHealth

, Volume 8, Issue 3, pp 365–375

Co-occurrence Patterns of the Dengue Vector Aedes aegypti and Aedes mediovitattus, a Dengue Competent Mosquito in Puerto Rico

  • Eliza Little
  • Roberto Barrera
  • Karen C. Seto
  • Maria Diuk-Wasser
Original Contribution

Abstract

Aedes aegypti is implicated in dengue transmission in tropical and subtropical urban areas around the world. Ae. aegypti populations are controlled through integrative vector management. However, the efficacy of vector control may be undermined by the presence of alternative, competent species. In Puerto Rico, a native mosquito, Ae. mediovittatus, is a competent dengue vector in laboratory settings and spatially overlaps with Ae. aegypti. It has been proposed that Ae. mediovittatus may act as a dengue reservoir during inter-epidemic periods, perpetuating endemic dengue transmission in rural Puerto Rico. Dengue transmission dynamics may therefore be influenced by the spatial overlap of Ae. mediovittatus, Ae. aegypti, dengue viruses, and humans. We take a landscape epidemiology approach to examine the association between landscape composition and configuration and the distribution of each of these Aedes species and their co-occurrence. We used remotely sensed imagery from a newly launched satellite to map landscape features at very high spatial resolution. We found that the distribution of Ae. aegypti is positively predicted by urban density and by the number of tree patches, Ae. mediovittatus is positively predicted by the number of tree patches, but negatively predicted by large contiguous urban areas, and both species are predicted by urban density and the number of tree patches. This analysis provides evidence that landscape composition and configuration is a surrogate for mosquito community composition, and suggests that mapping landscape structure can be used to inform vector control efforts as well as to inform urban planning.

Keywords

dengue landscape epidemiology Puerto Rico remote sensing Aedes aegypti Aedes mediovittatus 

References

  1. Barrera R (1996). Competition and resistance to starvation in larvae of container-inhabiting Aedes mosquitoes. Ecological Entomology 21:117-127.CrossRefGoogle Scholar
  2. Barrera R, Avila J, and Gonzaleztellez S (1993). Unreliable Supply of Potable Water and Elevated Aedes aegypti Larval Indexes - A Causal Relationship. Journal of the American Mosquito Control Association 9:189-195.PubMedGoogle Scholar
  3. Barrera R, Navarro JC, Mora JD, Dominguez D, and Gonzalez J (1995). Public service deficiencies and Aedes aegypti breeding sites in Venezuela. Bulletin of the Pan American Health Organization 29:193-205.PubMedGoogle Scholar
  4. Barrera R, Amador M, and Clark GG (2006). Use of the pupal survey technique for measuring Aedes aegypti (Diptera : Culicidae) productivity in Puerto Rico. American Journal of Tropical Medicine and Hygiene 74:290-302.PubMedGoogle Scholar
  5. Beyer H (2011) Geospatial Modelling Environment, Spatial Ecology LLC. www.spatialecology.com
  6. Bhalala H, Arias JR (2009) The Zumba mosquito trap and BG-Sentinel trap: novel surveillance tools for host-seeking mosquitoes. Journal of the American Mosquito Control Association 25(2):134-139.PubMedCrossRefGoogle Scholar
  7. Carbajo AE, Curto SI, and Schweigmann NJ (2006). Spatial Distribution pattern of oviposition in the mosquio Aedes aegypti in relation to urbanization in Buenos Aires: southern fringe bionomics of an introduced vector. Medical and Veterinary Entomology 20:209-218.PubMedCrossRefGoogle Scholar
  8. CDC (2009) Prevention, CDC. Dengue: Entomology and Ecology. http://www.cdc.gov/dengue/entomologyEcology/index.html. Accessed September 15, 2010
  9. Cox J, Grillet ME, Ramos OM, Amador M, and Barrera R (2007). Habitat segregation of dengue vectors along an urban environmental gradient. American Journal of Tropical Medicine and Hygeine 76:820-826.Google Scholar
  10. Cui J (2007). QIC program and model selection in GEE analyses. Stata Journal 7:209-220.Google Scholar
  11. Eisen L, and Lozano-Fuentes S (2009) Use of mapping and spatial and space-time modeling approaches in operational control of Aedes aegypti and dengue. PLoS Neglected Tropical Diseases 3:e411.PubMedCrossRefGoogle Scholar
  12. ESRI (2011). ArcMap 10. Redlands, CA: ESRI (Environmental Systems Resource Institute).Google Scholar
  13. Estallo EL, Lamfri MA, Scavuzzo CM, Almeida FFL, Introini MV, Zaidenberg M, et al. (2008). Models for predicting Aedes aegypti larval indices based on satellite images and climatic variables. Journal of the American Mosquito Control Association 24:368-376.PubMedCrossRefGoogle Scholar
  14. Freier JE, and Rosen L (1988). Vertical transmission of dengue viruses by Aedes mediovittatus. American Journal of Tropical Medicine and Hygeine 39:218-222.PubMedGoogle Scholar
  15. Fuller DO, Troyo A, Calderon-Arguedas O, and Beier JC (2010). Dengue vector (Aedes aegypti) larval habitats in an urban environment of Costa Rica analysed with ASTER and QuickBird imagery. International Journal of Remote Sensing 31:3-11.CrossRefGoogle Scholar
  16. Gubler DJ (2006). Dengue/dengue haemorrhagic fever: history and current status. Novartis Found Symp 277:3-16; discussion 16-22, 71-13, 251-253.PubMedCrossRefGoogle Scholar
  17. Gubler DJ, Novak RJ, Vergne E, Colon NA, Velez M, and Fowler J (1985). Aedes (Gymnometopa) mediovittatus (Diptera: Culicidae), a potential maintenance vector of dengue viruses in Puerto Rico. Journal of Medical Entomology 22:469-475.PubMedGoogle Scholar
  18. Gubler DJ, Reiter P, Ebi KL, Yap W, Nasci R, Patz J (2001) Climate variability and change in the United States: potential impacts and rodent-borne diseases. Environmental Health Perspectives 109(2):211–221Google Scholar
  19. Harrington LC, Edman JD, and Scott TW (2001). Why do female Aedes aegypti (Diptera: Culicidae) feed preferentially and frequently on human blood? Journal of Medical Entomology 38:411-422.PubMedCrossRefGoogle Scholar
  20. Honorio NA, Silva WD, Leite PJ, Goncalves JM, Lounibos LP, and Lourenco-de-Oliveira R (2003). Dispersal of Aedes aegypti and Aedes albopictus (Diptera : Culicidae) in an urban endemic dengue area in the State of Rio de Janeiro, Brazil. Memorias do Instituto Oswaldo Cruz 98:191-198.PubMedCrossRefGoogle Scholar
  21. Honorio NA, Codeco CT, Alvis FC, Magalhaes M, and Lourenco-De-Oliveira R (2009). Temporal Distribution of Aedes aegypti in Different Districts of Rio De Janeiro, Brazil, Measured by Two Types of Traps. Journal of Medical Entomology 46:1001-1014.PubMedCrossRefGoogle Scholar
  22. Hotez PJ, Bottazzi ME, Franco-Paredes C, Ault SK, Periago MR (2008) The neglected tropical diseases of Latin America and the Caribbean: a review of disease burden and distribution and a roadmap for control and elimination. Plos Neglected Tropical Diseases 2:e300.PubMedCrossRefGoogle Scholar
  23. ITT Visual Information Solutions (2011). ENVI Environment for Visualizing Images. ITT, Boulder, Colorado.Google Scholar
  24. Johansson MA, Dominici F, and Glass GE (2009). Local and global effects of climate on dengue transmission in puerto rico. PLoS Neglicted Tropical Diseases 3:e382.PubMedCrossRefGoogle Scholar
  25. Kendall C, Hudelson P, Leontsini E, Winch P, and Lloyd L (2009). Urbanization, Dengue, and the Health Transittion - Anthrpological Contributions to International health. Medical Anthropology Quarterly 5:257-268.CrossRefGoogle Scholar
  26. Kraan C, Aarts G, van der Meer J, and Piersma T (2010). The role of environmental variables in structuring landscape-scale species distributions in seafloor habitats. Ecology 91:1583-1590.PubMedCrossRefGoogle Scholar
  27. Kroeckel UA, Rose A, Eiras AE, Geier M (2006). New tools for surveillance of adult yellow fever mosquitoes: Comparison of trap catches with human landing rates in an urban environmnet. Journal of the American Mosquito Control Association. 22: 229-238.CrossRefGoogle Scholar
  28. Kyle JL, and Harris E (2008). Global Spread and Persistence of Dengue. Annual Review of Microbiology 62:71-92.PubMedCrossRefGoogle Scholar
  29. Lloyd L (2003). Best Practices for dengue prevention and control in the Americas. USAID, Washington, DC.Google Scholar
  30. Maciel de Frietas R, Eiras AE, Lourenço-de-Oliveira R (2006). Field Evalution of effectiveness of the BG-Sentinal, a new trap for capturing adult Aedes aegypti (Diptera: Culcidae). Memórias do Instituto Oswaldo Cruz 101(3): 321-325.Google Scholar
  31. Martinuzzi S, Gould WA, and Gonzalez OMR (2007). Land development, land use, and urban sprawl in Puerto Rico integrating remote sensing and population census data. Landscape and Urban Planning 79:288-297.CrossRefGoogle Scholar
  32. McGarigal K, Cushman SA, Neel MC, Ene E (2002) FRAGSTATS: Spatial Pattern Analysis Program for Categorical Maps. http://www.umass.edu/landeco/research/fragstats/fragstats.html. Accessed January 1, 2011
  33. Moloney JM, Skelly C, Weinstein P, Maguire M, and Ritchie S (1998). Domestic Aedes aegypti breeding site surveillance: Limitations of remote sensing as a predictive surveillance tool. American Journal of Tropical Medicine and Hygiene 59:261-264.PubMedGoogle Scholar
  34. Moore CG (1983). Habitat Differences among Container-Breeding Mosquitos in Western Puerto-Rico (Diptera, Culicidae). Pan-Pacific Entomologist 59:218-228.Google Scholar
  35. Moore CG, Cline BL, Ruiztiben E, Lee D, Romneyjoseph H, and Riveracorrea E (1978). Aedes-aegypti in Puerto-Rico - Environmental Determinants of Larval Abundance and Relation to Dengue Virus Transmission. American Journal of Tropical Medicine and Hygiene 27:1225-1231.PubMedGoogle Scholar
  36. Morrison D, Legg TJ, Billings CW, Forrat R, Yoksan S, Lang J (2010). A novel tetravalent dengue vaccine is well tolerated and immunogenic against all 4 serotypes in flaviviurs naïve adults. Journal of Infectious Diseases 201(3): 370-377.PubMedCrossRefGoogle Scholar
  37. Pan W (2001). Akaike’s information criterion in generalized estimating equations. Biometrics 57:120-125.PubMedCrossRefGoogle Scholar
  38. Patz JA, Daszak P, Tabor GM, Aguirre AA, Pearl M, Epstein J, et al. (2004). Unhealthy landscapes: Policy recommendations on land use change and infectious disease emergence. Environmental Health Perspectives 112:1092-1098.PubMedCrossRefGoogle Scholar
  39. Reiter P, Amador MA, Anderson RA, and Clark GG (1995). Dispersal of Aedes aegypti in an Urban Area After Blood-Feeding as Demonstrated by Rubidium-Marked Eggs. American Journal of Tropical Medicine and Hygiene 52:177-179.PubMedGoogle Scholar
  40. Rey JR, Nishimura N, Wagner B, Braks MAH, O’Connell SM, and Lounibos LP (2006). Habitat segregation of mosquito arbovirus vectors in south Florida. Journal of Medical Entomology 43:1134-1141.PubMedCrossRefGoogle Scholar
  41. Smith J, Amador M, and Barrera R (2009). Seasonal and habitat effects on dengue and West Nile virus vectors in San Juan, Puerto Rico. Journal of the American Mosquito Control Association 25:38-46.PubMedCrossRefGoogle Scholar
  42. StataCorp (2007). Stata Statistical Software: Release 10. Statacorp, College Station, Texas.Google Scholar
  43. StataCorp (2011) Stata 12 help for xtgee. http://www.stata.com/help.cgi?xtgee. Accessed August 28, 2011.
  44. Stoddard ST, Morrison AC, Vazquez-Prokopec GM, Soldan VP, Kochel TJ, Kitron U, Elder JP, Scott TW (2009). The Role of Human Movement in the Transmssion of Vector-Borne Pathogens. PLOS Neglected Tropical Diseases 3(7): 1-9.CrossRefGoogle Scholar
  45. Troyo A, Fuller DO, Calderon-Arguedas O, and Beier JC (2008). A geographical sampling method for surveys of mosquito larvae in an urban area using high-resolution satellite imagery. Journal of Vector Ecology 33:1-7.PubMedCrossRefGoogle Scholar
  46. Troyo A, Fuller DO, Calderon-Arguedas O, Solano ME, and Beier JC (2009). Urban structure and dengue incidence in Puntarenas, Costa Rica. Singapore Journal of Tropical Geography 30:265-282.PubMedCrossRefGoogle Scholar
  47. Tun-Lin W, Kay BH, and Barnes A (1995). The Premise Condition Index: a tool for streamlining surveys of Aedes aegypti. American Journal of Tropical Medicine and Hygiene 53:591-594.PubMedGoogle Scholar
  48. Tun-Lin W, Burkot TR, and Kay BH (2000). Effects of temperature and larval diet on development rates and survival of the dengue vector Aedes aegypti in north Queensland, Australia. Medical and Veterinary Entomology 14:31-37.PubMedCrossRefGoogle Scholar
  49. Vanwambeke SO, Lambin EF, Eichhorn MP, Flasse SP, Harbach RE, Oskam L, et al. (2007). Impact of land-use change on dengue and malaria in northern Thailand. Ecohealth 4:37-51.CrossRefGoogle Scholar
  50. Vanwambeke SO, Bennett SN, and Kapan DD (2011). Spatially disaggregated disease transmission risk: land cover, land use and risk of dengue transmission on the island of Oahu. Tropical Medicine & International Health 16:174-185.CrossRefGoogle Scholar
  51. WHO (2009) The World Health Organization: Dengue/dengue haemorrhagic fever. http://www.who.int/csr/disease/dengue/en/. Accessed September 15, 2010
  52. Williams CR, Long SA, Russell RC, Ritchie SA (2006). Field efficacy of the BG-Sentienal compared with CDC backpack aspirators and CO2-baited EVS traps for collection of adult Aedes aegypti in Cairns, Queensland, Australia. Journal of the American Mosquito Control Association. 22: 296-300.PubMedCrossRefGoogle Scholar
  53. Williams CR, Long SA, Webb CE, Bitzhenner M, Geier M, Russell RC, et al. (2007). Aedes aegypti population sampling using BG-Sentinel traps in North Queensland Australia: Statistical considerations for trap deployment and sampling strategy. Journal of Medical Entomology 44:345-350.PubMedCrossRefGoogle Scholar
  54. Wilson M (2002) Dengue in the Americas. http://www.searo.who.int/en/Section10/Section332/Section1581.htm. Accessed September 15, 2010

Copyright information

© International Association for Ecology and Health 2011

Authors and Affiliations

  • Eliza Little
    • 1
  • Roberto Barrera
    • 2
  • Karen C. Seto
    • 3
  • Maria Diuk-Wasser
    • 1
  1. 1.Yale School of Public Health and Yale School of Forestry and Environmental StudiesNew HavenUSA
  2. 2.Dengue Branch, Division of Vector-borne Infectious DiseasesCenters for Disease Control and PreventionSan JuanPuerto Rico
  3. 3.Yale School of Forestry and Environmental StudiesNew HavenUSA

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