2007, Number 2
<< Back Next >>
Rev Salud Publica Nutr 2007; 8 (2)
Distribución geoespacial del mosquito culex Quinquefasciatus (diptera:culicidae) principal vector del Virus del oeste del nilo, en la zona urbana de ciudad Juárez, Chihuahua, México.
Mora CA, Granados OA
Language: Spanish
References: 79
Page: 1-13
PDF size: 125.42 Kb.
ABSTRACT
The objective was to considering the socioeconomic factors that affects the space distribution of
Culex quinquefasciatus in the Juárez City, Chihuahua, Mexico. The
mosquitoes were captured with CO2 bait light minitraps and using like analysis unit the AGEB's. It was utilized a GIS and geospatial analysis techniques. It was observed the
existence of positive autocorrelation in vector population with Moran’s Index values of 0.33, 0.25, 0.17, 0.11 as well as c Geary values of 0,34, 0.45, 0.55, 0.64 for 1000, 2000,
3000 and 4000 meters of radii, respectively. The Getis local index Gi(d) values established high vector populations at northwest and southeast zones of the city. The
regression model explained the 22,1% of the density of
Cx. quinquefasciatus; the academic degree and reading skills percentage in the population are correlated
negatively as well as house density and goods possession. The positive correlation was in population density, low quality of house construction and the economic income.
REFERENCES
Centers for Disease Control. West Nile. htpp://www.cdc.gov. Accesado 23 de Marzo del 2005
Focks D.A., D.G. Haile, E. Daniels, and G.A. Mcunt. 1993. Dynamic life table model for Ae. aegypti (DIP:CULICIDAE) simulation, result and validation. J. Med. Entomol.30 (6): 1018-1028.
Estrada-Franco J.G. y G.B. Craig, Jr. 1995. Biología, relaciones con enfermedades y control de Aedes albopictus. Organización Panamericana de la Salud. Cuaderno Técnico No. 42. Washington, D.C.
De Garin A., R. Bejarano y N. Schweigmann. 2002. Eventos El Niño y la Niña y su relación con la abundancia potencial del vector del dengue en la Argentina en Actualización en artropodologia sanitaria Argentina. Publicación Monográfica No 2. Fundación Mundo Sano. Buenos Aires Argentina.
Ibáñez-Bernal S. y H. Gómez-Dantes. 1995. Los vectores del dengue en México.Salud Publica de México. Vol. 37 Supl. pp. 553-563.
Oria G.L., M. Stein, y J.O. Gorodner. 2000. Ecoepidemiologia urbana de formasinmaduras de mosquitos (Diptera: culicidae) en la ciudad de Resistencia.Comunicaciones Científicas y Tecnológicas. Universidad Nacional del Nordeste.Argentina..
Delgado L., S. Ramos, E. Gordon, E. Zoppy, J. Berti, y E. Montiel. 2003. Sensores Remotos, Modelos Digitales de Terreno y SIG. Herramientas para el Control de la Malaria en el Estado Sucre, Venezuela. Acta Científica Estudiantil 1(4):143-151.
Romaña C., L. Emperaire y A. M. Jansen. 2003. Enfoques conceptuales y propuestas metodológicas para el estudio de las interacciones entre el medio ambiente y la salud:aplicación a un programa de investigación sobre la tripanosomiasis americana”. Cad.Saude Publica, Río de Janeiro 19(4): 945-953.
Delgado L., et al, Op. cit.
Ryan P.A., S. A. Lyons, D. Alsemgeest, P. Thomas and B. H. Kay. 2004. Spatial Statistical Analysis of Adult Mosquito (Diptera: Culicidae) Counts: An Example Using Light Trap Data, in Redland Shire, Southeastern Queensland, Australia. J. Med. Entomol. 41(6): 1143-1156
Clarke K.C., S.L. McLafferty and B.J. Tempalski. 1996. On epidemiology and geographic information systems: a review and discussion of future directions. Perspectives. Vol 2, No 2.
Robinson T.P. 2000. Spatial statistics and geographical information systems in epidemiology and public health. In Remote sensing and geographical information systems in epidemiology . Advances in epidemiology. Vol 47. Academic Press.
Beck L.R., M.H. Rodríguez, S.W. Dister, A.D. Rodríguez, R. K. Washino, and D.R. Roberts. 1997. Assessment of a remote sensing based model for predicting malaria transmission risk in villages of Chiapas, Mexico. Am. J. Trop. Med. Hyg., 56: 99-106.
Getis A., A.C. Morrison, K. Gray and T. W. Scott. 2003.Characteristics of the spatial pattern of the dengue vector Aedes aegypti in Iquitos, Peru. Am. J. Trop. Med.Hyg, 69(5) 495-505.
Gleiser R.M., G. Schelotto and E. Gorla. 2002. Spatial pattern of abundance of the mosquito, Ochleratus albifasciatus, in relation to habitat characteristics. Medical and Veterinary Entomology. 16:264-371.
Jeffery J. A., P. A. Ryan, S. A Lyons, P. T Thomas and B. H. Kay 2002. Spatial distribution of vectors of Ross River virus and Barmah Forest virus on Russell Island,Moreton Bay, Queensland. Australian Journal of Entomology 41, 329–338.
Ali M., Y. Wagatsuma, M. Emch, and R. F. Breiman. 2003. Use of a geographic information system for defining spatial risk for dengue transmission in bangladesh: role for Aedes albopictus in an urban outbreak. Am. J. Trop. Med. Hyg., 69(6): 634–640.
Keating J., K. Macintyre, C. Mbogo, A. Githeko, J. L. Regens, C. Swalm, B.Ndenga, L.J. Steinberg, L. Kibe, J. I. Githure, and J. C.Beier. 2003. A geographic sampling strategy for studying: Relationships between human activity and malaria vectors in urban Africa. Am.J.Trop.Med.Hyg. 68 (3): 357 –365.
Nagao Y., U. Thavara, P. Chitnumsup, A. Tawatsin, C. Chansang and D. Campbell-Lendrum. 2003. Climatic and social risk factor for Aedes infestation in rural Thailand.Tropical Medicine and International Health. Vol 8. No 7 650-659.
Ruiz M. O., C. Tedesco, T. J. McTighe, C. Austin and U. Kitron. 2004.Environmental and social determinants of human risk during a West Nile virus outbreak in the greater Chicago area, 2002. International Journal of Health Geographics 3(1):8.
Ryan P.A., et al, Op. cit.
Sardelis M. R., M. J. Turell, D. J. Dohm and M. L. O’Guinn. 2001. Vector Competence of Selected North American Culex and Coquillettidia Mosquitoes for West Nile Virus. Emerging Infectious Diseases Vol. 7, No. 6, November-December
Ahumada J.A., D. Lapointe and M. D. Samuel. 2004. Modeling the Population Dynamics of Culex quinquefasciatus (Diptera: Culicidae), along an Elevational Gradient in Hawaii. J. Med. Entomol. 41(6): 1157-1170.
Marra P. P., S. Griffing, C. Caffrey, A. Kilpatrick, R. Mclean,C. Brand, E. Saito, A. P. Dupuis, L. Kramer and R. Novak. 2004. West Nile Virus and Wildlife. BioScience..May Vol. 54 No. 5.
Zinser M., F. Ramberg, and E, Willot. 2004. Scientific Note: Culex quinquefasciatus (Diptera: Culicidae) as a potential West Nile virus vector in Tucson,Arizona: Blood meal analysis indicates feeding on both humans and birds. Journal of Insect Science, 4:20. Available online: insectscience.org/4.20
INEGI. 2001. Cuaderno Estadístico Municipal. Juárez-Chihuahua.
Secretaria de Gobernación. 2001. XII Población, Migración y Protección civil.Programa de desarrollo regional Frontera Norte 2001-2006. México.
Gleisser R.M., et al, Op. cit.
Ord, J. K., and A. Getis. 1995. Local spatial autocorrelation statistics: distributional issues and an application. Geographical Análisis. 27(4):287–305.
Sawada M. 1999. ROOKCASE: an excel 97/2000 visual basic (VB) add-in for exploring global and local spatial autocorrelation. Bull. Ecol. Soc. Am. 80:231-234..
Ryan P.A., et al, Op. cit.
Nagao Y., et al, Op. cit.
Keating J, et al, Op. cit.
Bohra A. and H. Andrianasolo. 2001. Application of GIS in Modeling of Dengue Risk Based on Sociocultural Data: Case of Jalore, Rajasthan, India. Dengue Bulletin .Vol 25.
Gibbs S.E.,M.C. Wimberly, M. Madden. J. Masour, M.J. Yabsley and D.E.
Stalknecht. 2006. Factors affecting the geographic distribution of West Nile virus in
Georgia, USA: 2002-2004. Vector Borne Zoonotic Dis. 6(1):73-82.
Centers for Disease Control. West Nile. htpp://www.cdc.gov. Accesado 23 de Marzo del 2005
Focks D.A., D.G. Haile, E. Daniels, and G.A. Mcunt. 1993. Dynamic life table model for Ae. aegypti (DIP:CULICIDAE) simulation, result and validation. J. Med. Entomol.30 (6): 1018-1028.
Estrada-Franco J.G. y G.B. Craig, Jr. 1995. Biología, relaciones con enfermedades y control de Aedes albopictus. Organización Panamericana de la Salud. Cuaderno Técnico No. 42. Washington, D.C.
De Garin A., R. Bejarano y N. Schweigmann. 2002. Eventos El Niño y la Niña y su relación con la abundancia potencial del vector del dengue en la Argentina en Actualización en artropodologia sanitaria Argentina. Publicación Monográfica No 2. Fundación Mundo Sano. Buenos Aires Argentina.
Ibáñez-Bernal S. y H. Gómez-Dantes. 1995. Los vectores del dengue en México.Salud Publica de México. Vol. 37 Supl. pp. 553-563.
Oria G.L., M. Stein, y J.O. Gorodner. 2000. Ecoepidemiologia urbana de formasinmaduras de mosquitos (Diptera: culicidae) en la ciudad de Resistencia.Comunicaciones Científicas y Tecnológicas. Universidad Nacional del Nordeste.Argentina..
Delgado L., S. Ramos, E. Gordon, E. Zoppy, J. Berti, y E. Montiel. 2003. Sensores Remotos, Modelos Digitales de Terreno y SIG. Herramientas para el Control de la Malaria en el Estado Sucre, Venezuela. Acta Científica Estudiantil 1(4):143-151.
Romaña C., L. Emperaire y A. M. Jansen. 2003. Enfoques conceptuales y propuestas metodológicas para el estudio de las interacciones entre el medio ambiente y la salud:aplicación a un programa de investigación sobre la tripanosomiasis americana”. Cad.Saude Publica, Río de Janeiro 19(4): 945-953.
Delgado L., et al, Op. cit.
Ryan P.A., S. A. Lyons, D. Alsemgeest, P. Thomas and B. H. Kay. 2004. Spatial Statistical Analysis of Adult Mosquito (Diptera: Culicidae) Counts: An Example Using Light Trap Data, in Redland Shire, Southeastern Queensland, Australia. J. Med. Entomol. 41(6): 1143-1156
Clarke K.C., S.L. McLafferty and B.J. Tempalski. 1996. On epidemiology and geographic information systems: a review and discussion of future directions. Perspectives. Vol 2, No 2.
Robinson T.P. 2000. Spatial statistics and geographical information systems in epidemiology and public health. In Remote sensing and geographical information systems in epidemiology. Advances in epidemiology. Vol 47. Academic Press.
Beck L.R., M.H. Rodríguez, S.W. Dister, A.D. Rodríguez, R. K. Washino, and D.R. Roberts. 1997. Assessment of a remote sensing based model for predicting malaria transmission risk in villages of Chiapas, Mexico. Am. J. Trop. Med. Hyg., 56: 99-106.
Getis A., A.C. Morrison, K. Gray and T. W. Scott. 2003.Characteristics of the spatial pattern of the dengue vector Aedes aegypti in Iquitos, Peru. Am. J. Trop. Med.Hyg, 69(5) 495-505.
Gleiser R.M., G. Schelotto and E. Gorla. 2002. Spatial pattern of abundance of the mosquito, Ochleratus albifasciatus, in relation to habitat characteristics. Medical and Veterinary Entomology. 16:264-371.
Jeffery J. A., P. A. Ryan, S. A Lyons, P. T Thomas and B. H. Kay 2002. Spatial distribution of vectors of Ross River virus and Barmah Forest virus on Russell Island,Moreton Bay, Queensland. Australian Journal of Entomology 41, 329–338.
Ali M., Y. Wagatsuma, M. Emch, and R. F. Breiman. 2003. Use of a geographic information system for defining spatial risk for dengue transmission in bangladesh: role for Aedes albopictus in an urban outbreak. Am. J. Trop. Med. Hyg., 69(6): 634–640.
Keating J., K. Macintyre, C. Mbogo, A. Githeko, J. L. Regens, C. Swalm, B.Ndenga, L.J. Steinberg, L. Kibe, J. I. Githure, and J. C.Beier. 2003. A geographic sampling strategy for studying: Relationships between human activity and malaria vectors in urban Africa. Am.J.Trop.Med.Hyg. 68 (3): 357–365.
Nagao Y., U. Thavara, P. Chitnumsup, A. Tawatsin, C. Chansang and D. Campbell-Lendrum. 2003. Climatic and social risk factor for Aedes infestation in rural Thailand.Tropical Medicine and International Health. Vol 8. No 7 650-659.
Ruiz M. O., C. Tedesco, T. J. McTighe, C. Austin and U. Kitron. 2004.Environmental and social determinants of human risk during a West Nile virus outbreak in the greater Chicago area, 2002. International Journal of Health Geographics 3(1):8.
Ryan P.A., et al, Op. cit.
Sardelis M. R., M. J. Turell, D. J. Dohm and M. L. O’Guinn. 2001. Vector Competence of Selected North American Culex and Coquillettidia Mosquitoes for West Nile Virus. Emerging Infectious Diseases Vol. 7, No. 6, November-December
Ahumada J.A., D. Lapointe and M. D. Samuel. 2004. Modeling the Population Dynamics of Culex quinquefasciatus (Diptera: Culicidae), along an Elevational Gradient in Hawaii. J. Med. Entomol. 41(6): 1157-1170.
Marra P. P., S. Griffing, C. Caffrey, A. Kilpatrick, R. Mclean,C. Brand, E. Saito, A. P. Dupuis, L. Kramer and R. Novak. 2004. West Nile Virus and Wildlife. BioScience..May Vol. 54 No. 5.
Zinser M., F. Ramberg, and E, Willot. 2004. Scientific Note: Culex quinquefasciatus (Diptera: Culicidae) as a potential West Nile virus vector in Tucson,Arizona: Blood meal analysis indicates feeding on both humans and birds. Journal of Insect Science, 4:20. Available online: insectscience.org/4.20
INEGI. 2001. Cuaderno Estadístico Municipal. Juárez-Chihuahua.
Secretaria de Gobernación. 2001. XII Población, Migración y Protección civil.Programa de desarrollo regional Frontera Norte 2001-2006. México.
Gleisser R.M., et al, Op. cit.
Ord, J. K., and A. Getis. 1995. Local spatial autocorrelation statistics: distributional issues and an application. Geographical Análisis. 27(4):287–305.
Sawada M. 1999. ROOKCASE: an excel 97/2000 visual basic (VB) add-in for exploring global and local spatial autocorrelation. Bull. Ecol. Soc. Am. 80:231-234..
Ryan P.A., et al, Op. cit.
Nagao Y., et al, Op. cit.
Keating J, et al, Op. cit.
Bohra A. and H. Andrianasolo. 2001. Application of GIS in Modeling of Dengue Risk Based on Sociocultural Data: Case of Jalore, Rajasthan, India. Dengue Bulletin .Vol 25.
Gibbs S.E.,M.C. Wimberly, M. Madden. J. Masour, M.J. Yabsley and D.E. Stalknecht. 2006. Factors affecting the geographic distribution of West Nile virus in Georgia, USA: 2002-2004. Vector Borne Zoonotic Dis. 6(1):73-82.
Full text