Predator-prey model for analysis of aedes aegypti population dynamics in Cali, Colombia

En este trabajo, presentamos un modelo depredador-presa para analizar la dinámica de la población del mosquito Aedes aegypti, al que se atribuye bastante la transmisión del dengue en Cali, Colombia. El modelo describe una interacción de una especie depredadora acuática introducida deliberadamente en...

Full description

Autores:: Sepúlveda Salcedo, Lilian Sofía
Arias, Juddy H.
Martinez,Hector Jairo
Vasilieva, Olga

Tipo de recurso:: Article of journal

Fecha de publicación:: 2015

Institución:: Universidad Autónoma de Occidente

Repositorio:: RED: Repositorio Educativo Digital UAO

Idioma:: eng

id	REPOUAO2_4a0e3cc22d4e7327579151518f732eb8
oai_identifier_str	oai:red.uao.edu.co:10614/11876
network_acronym_str	REPOUAO2
network_name_str	RED: Repositorio Educativo Digital UAO
repository_id_str
dc.title.eng.fl_str_mv	Predator-prey model for analysis of aedes aegypti population dynamics in Cali, Colombia
title	Predator-prey model for analysis of aedes aegypti population dynamics in Cali, Colombia
spellingShingle	Predator-prey model for analysis of aedes aegypti population dynamics in Cali, Colombia Mosquitos - Control biológico Mosquitoes - Biological control Aedes aegypti Biological control Immature and mature stages Predator-prey system Mosquito survival threshold
title_short	Predator-prey model for analysis of aedes aegypti population dynamics in Cali, Colombia
title_full	Predator-prey model for analysis of aedes aegypti population dynamics in Cali, Colombia
title_fullStr	Predator-prey model for analysis of aedes aegypti population dynamics in Cali, Colombia
title_full_unstemmed	Predator-prey model for analysis of aedes aegypti population dynamics in Cali, Colombia
title_sort	Predator-prey model for analysis of aedes aegypti population dynamics in Cali, Colombia
dc.creator.fl_str_mv	Sepúlveda Salcedo, Lilian Sofía Arias, Juddy H. Martinez,Hector Jairo Vasilieva, Olga
dc.contributor.author.none.fl_str_mv	Sepúlveda Salcedo, Lilian Sofía Arias, Juddy H. Martinez,Hector Jairo Vasilieva, Olga
dc.subject.armarc.spa.fl_str_mv	Mosquitos - Control biológico
topic	Mosquitos - Control biológico Mosquitoes - Biological control Aedes aegypti Biological control Immature and mature stages Predator-prey system Mosquito survival threshold
dc.subject.armarc.eng.fl_str_mv	Mosquitoes - Biological control
dc.subject.proposal.eng.fl_str_mv	Aedes aegypti Biological control Immature and mature stages Predator-prey system Mosquito survival threshold
description	En este trabajo, presentamos un modelo depredador-presa para analizar la dinámica de la población del mosquito Aedes aegypti, al que se atribuye bastante la transmisión del dengue en Cali, Colombia. El modelo describe una interacción de una especie depredadora acuática introducida deliberadamente en el hábitat local de reproducción de mosquitos, donde los estadios inmaduros de Aedes aegypti (huevos, larvas y pupas) ya están presentes y constituyen la población de presas. El modelo también tiene en cuenta la población local de adultos.
publishDate	2015
dc.date.issued.none.fl_str_mv	2015
dc.date.accessioned.none.fl_str_mv	2020-02-13T16:20:25Z
dc.date.available.none.fl_str_mv	2020-02-13T16:20:25Z
dc.type.spa.fl_str_mv	Artículo de revista
dc.type.coar.fl_str_mv	http://purl.org/coar/resource_type/c_2df8fbb1
dc.type.coarversion.fl_str_mv	http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.coar.eng.fl_str_mv	http://purl.org/coar/resource_type/c_6501
dc.type.content.eng.fl_str_mv	Text
dc.type.driver.eng.fl_str_mv	info:eu-repo/semantics/article
dc.type.redcol.eng.fl_str_mv	http://purl.org/redcol/resource_type/ARTREF
dc.type.version.eng.fl_str_mv	info:eu-repo/semantics/publishedVersion
format	http://purl.org/coar/resource_type/c_6501
status_str	publishedVersion
dc.identifier.issn.spa.fl_str_mv	1311-8080 1314-3395
dc.identifier.uri.none.fl_str_mv	http://red.uao.edu.co//handle/10614/11876
identifier_str_mv	1311-8080 1314-3395
url	http://red.uao.edu.co//handle/10614/11876
dc.language.iso.eng.fl_str_mv	eng
language	eng
dc.relation.eng.fl_str_mv	International Journal of Pure and Applied Mathematics. Volume 105, número 4, (2015); páginas 561-597
dc.relation.citationendpage.none.fl_str_mv	597
dc.relation.citationissue.none.fl_str_mv	4
dc.relation.citationstartpage.none.fl_str_mv	561
dc.relation.citationvolume.none.fl_str_mv	105
dc.relation.cites.spa.fl_str_mv	Sepúlveda Salcedo, L.S., Arias, J. H., Martínez, H.J., Vasilieva, O.(2015). Predator-prey model for analysis of aedes aegypti population dynamics in Cali, Colombia. International Journal of Pure and Applied Mathematics. 105(4), 561-597. http://red.uao.edu.co//handle/10614/11876
dc.relation.ispartofjournal.eng.fl_str_mv	International Journal of Pure and Applied Mathematics
dc.relation.references.none.fl_str_mv	Alshehri, M. S., and Saeed, M. Dengue fever outburst and its relationship with climatic factors. World Applied Sciences Journal 22, 4 (2013), 506–515. Arias, J., Martínez, H., Sepulveda, L., and Vasilieva, O. Estimación de parámetros de dos modelos para la din´amica del dengue en Cali [Parameter estimation for two models describing dynamics of dengue in Cali]. Internal Research Report, Project C.I. 7900, 2014. Bravo, A., Likitvivatanavong, S., Gill, S. S., and Sober´on, M. Bacillus thuringiensis: a story of a successful bioinsecticide. Insect Biochemistry and Molecular Biology 41, 7 (2011), 423–431. Special Issue: Toxicology and Resistance. Brown, J. E., McBride, C. S., Johnson, P., Ritchie, S., Paupy, C., Bossin, H., Lutomiah, J., Fernandez-Salas, I., Ponlawat, A., Cornel, A. J., Black, W. C., Gorrochotegui-Escalante, N., Urdaneta-Marquez, L., Sylla, M., Slotman, M., Murray, K. O., Walker, C., and Powell, J. R. Worldwide patterns of genetic differentiation imply multiple “domestications” of Aedes aegypti, a major vector of human diseases. Proceedings of the Royal Society B: Biological Sciences 278, 1717 (2011), 2446–2454. Chang, M. S., Christophel, E. M., Gopinath, D., and Abdur, R. M. Challenges and future perspective for dengue vector control in the Western Pacific Region. Western Pacific Surveillance and Response Journal: WPSAR 2, 2 (2011), 9. Chitnis, N., Hyman, J., and Cushing, J. Determining important parameters in the spread of malaria through the sensitivity analysis of a mathematical model. Bulletin of Mathematical Biology 70, 5 (2008), 1272–1296. Christophers, S. Aedes aegypti (L.) the yellow fever mosquito: its life history, bionomics and structure. Cambridge University Press, 1960. Escobar-Morales, G., Ed. Cali en cifras 2011 [Cali in numbers 2011]. Departamento Administrativo de Planeaci´on. Alcaldia de Santiago de Cali, 2011. Esteva, L., and Mo Yang, H. Mathematical model to assess the control of Aedes aegypti mosquitoes by the sterile insect technique. Mathematical Biosciences 198, 2 (2005), 132–147. Faulde, M. K., Uedelhoven, W. M., and Robbins, R. G. Contact toxicity and residual activity of different permethrin-based fabric impregnation methods for Aedes aegypti (diptera: Culicidae), Ixodes ricinus (acari: Ixodidae), and Lepisma saccharina (thysanura: Lepismatidae). Journal of Medical Entomology 40, 6 (2003), 935–941. Fonseca-Gonz´alez, I., Qui˜nones, M. L., Lenhart, A., and Brogdon, W. G. Insecticide resistance status of Aedes aegypti (l.) from Colombia. Pest Management Science 67, 4 (2011), 430–437. Guzman, A., and Ist´uriz, R. E. Update on the global spread of dengue. International Journal of Antimicrobial Agents 36 (2010), S40–S42. Guzman, M. G., Halstead, S. B., Artsob, H., Buchy, P., Farrar, J., Gubler, D. J., Hunsperger, E., Kroeger, A., Margolis, H. S., Mart´ınez, E., Nathan, M. B., Pelegrino, J. L., Simmons, C., Yoksan, S., and Peeling, R. W. Dengue: a continuing global threat. Nature Reviews Microbiology 8 (2010), S7–S16. Hagenlocher, M., Delmelle, E., Casas, I., and Kienberger, S. Assessing socioeconomic vulnerability to dengue fever in Cali, Colombia: statistical vs expert-based modeling. International Journal of Health Geographics 12, 1 (2013), 36. Halstead, S. B. Identifying protective dengue vaccines: guide to mastering an empirical process. Vaccine 31, 41 (2013), 4501–4507. Jansen, C. C., and Beebe, N. W. The dengue vector Aedes aegypti : what comes next. Microbes and Infection 12, 4 (2010), 272–279. Kay, B., and Nam, V. S. New strategy against Aedes aegypti in Vietnam. The Lancet 365, 9459 (2005), 613–617. Kay, B. H., Nam, V. S., Van Tien, T., Yen, N. T., Phong, T. V., Diep, V. T., Ninh, T. U., Bektas, A., and Aaskov, J. G. Control of Aedes vectors of dengue in three provinces of Vietnam by use of Mesocyclops (Copepoda) and community-based methods validated by entomologic, clinical, and serological surveillance. The American Journal of Tropical Medicine and Hygiene 66, 1 (2002), 40–48. Marín, C., Mu˜noz, A., Toro, H., and Restrepo, L. Modeling strategies for chemical and biological control of Aedes aegypti. Matem´aticas: Enseñanza Universitaria XIX (2011), 63–78. Marten, G. G. Human Ecology: Basic Concepts for Sustainable Development. Earthscan, London, 2001. Marten, G. G., and Reid, J. W. Cyclopoid copepods. Journal of the American Mosquito Control Association 23, sp2 (2007), 65–92. McGraw, E. A., and O’Neill, S. L. Beyond insecticides: new thinking on an ancient problem. Nature Reviews Microbiology 11, 3 (2013), 181–193. Méndez, F., Barreto, M., Arias, J. F., Rengifo, G., Muñoz, J., Burbano, M. E., and Parra, B. Human and mosquito infections by dengue viruses during and after epidemics in a dengue endemic region of Colombia. The American Journal of Tropical Medicine and Hygiene 74, 4 (2006), 678–683. Nam, V. S., Yen, N. T., Duc, H. M., Tu, T. C., Thang, V. T., Le, N. H., Le Loan, L., Huong, V. T. Q., Khanh, L. H. K., Trang, H. T. T., et al. Community-based control of Aedes aegypti by using Mesocyclops in southern Vietnam. The American Journal of Tropical Medicine and Hygiene 86, 5 (2012), 850–859. Nam, V. S., Yen, N. T., Holynska, M., Reid, J. W., and Kay, B. H. National progress in dengue vector control in Vietnam: survey for Mesocyclops (Copepoda), Micronecta (Corixidae), and fish as biological control agents. The American Journal of Tropical Medicine and Hygiene 62, 1(2000), 5–10. Nam, V. S., Yen, N. T., Phong, T. V., Ninh, T. U., Le Quyen, M., Le Viet, L., Bektas, A., Briscombe, A., Aaskov, J. G., Ryan, P. A., and Kay, B. H. Elimination of dengue by community programs using Mesocyclops (copepoda) against Aedes aegypti in central Vietnam. The American Journal of Tropical Medicine and Hygiene 72, 1 (2005), 67–73. Ocampo, C. B., Mina, N. J., Carabal´ı, M., Alexander, N., and Osorio, L. Reduction in dengue cases observed during mass control of Aedes (Stegomyia) in street catch basins in an endemic urban area in Colombia. Acta Tropica 132 (2014), 15–22. Ocampo, C. B., Salazar-Terreros, M. J., Mina, N. J., McAllister, J., and Brogdon, W. Insecticide resistance status of Aedes aegypti in 10 localities in Colombia. Acta Tropica 118, 1 (2011), 37–44. Ocampo, C. B., and Wesson, D. M. Population dynamics of Aedes aegypti from a dengue hyperendemic urban setting in Colombia. The American Journal of Tropical Medicine and Hygiene 71, 4 (2004), 506–513. Ordóñez-González, J. G., Mercado Hernández, R., Flores Suárez, A. E., and Fernández Salas, I. The use of sticky ovitraps to estimate dispersal of Aedes aegypti in northeastern Mexico. Journal of the American Mosquito Control Association 17, 2 (2001), 93–97. Rey, J. R., O’Connell, S., Su´arez, S., Men´endez, Z., Lounibos, L. P., and Byer, G. Laboratory and field studies of Macrocyclops albidus (crustacea: Copepoda) for biological control of mosquitoes in artificial containers in a subtropical environment. Journal of Vector Ecology 29 (2004), 124–134. Ritchie, S. A. Dengue vector bionomics: why Aedes aegypti is such a good vector. In Dengue and dengue hemorrhagic fever, D. J. Gubler, E. E. Ooi, S. Vasudevan, and J. Farrar, Eds., 2 ed. CAB International, 2014, pp. 455–480. Rodrigues de Paula, A., Souza-Brito, E., Pereira, C. R., Pinheiro-Carrera, M., and Samuels, R. I. Susceptibility of adult Aedes aegypti (Diptera: Culicidae) to infection by Metarhizium anisopliae and Beauveria bassiana: prospects for dengue vector control. Biocontrol Science and Technology 18, 10 (2008), 1017–1025
dc.rights.spa.fl_str_mv	Derechos Reservados - Universidad Autónoma de Occidente
dc.rights.coar.fl_str_mv	http://purl.org/coar/access_right/c_abf2
dc.rights.uri.eng.fl_str_mv	https://creativecommons.org/licenses/by-nc/4.0/
dc.rights.accessrights.eng.fl_str_mv	info:eu-repo/semantics/openAccess
dc.rights.creativecommons.spa.fl_str_mv	Atribución-NoComercial 4.0 Internacional (CC BY-NC 4.0)
rights_invalid_str_mv	Derechos Reservados - Universidad Autónoma de Occidente https://creativecommons.org/licenses/by-nc/4.0/ Atribución-NoComercial 4.0 Internacional (CC BY-NC 4.0) http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv	openAccess
dc.format.eng.fl_str_mv	application/pdf
dc.format.extent.spa.fl_str_mv	38 páginas
dc.coverage.spatial.none.fl_str_mv	Universidad Autónoma de Occidente. Calle 25 115-85. Km 2 vía Cali-Jamundí
dc.publisher.eng.fl_str_mv	Academic Publications Ltd.
institution	Universidad Autónoma de Occidente
bitstream.url.fl_str_mv	https://red.uao.edu.co/bitstreams/20d3cc0e-f266-4bec-83d5-f9aa07ec0f1f/download https://red.uao.edu.co/bitstreams/27a2abb7-f604-4d88-81dd-25ef8c14ef2c/download https://red.uao.edu.co/bitstreams/a38b1b75-c191-4be9-a2ef-504f91791107/download https://red.uao.edu.co/bitstreams/186aa1a2-92db-4982-8604-0efeeb4a73c7/download https://red.uao.edu.co/bitstreams/bc0aebb7-99ff-486a-b06b-6255ef37c818/download
bitstream.checksum.fl_str_mv	4a05cfa2335680a78243994a7b5cfc43 93b88057690ae0eebcdae2b81ea1300e 4460e5956bc1d1639be9ae6146a50347 20b5ba22b1117f71589c7318baa2c560 97576a30d9f527559815896020fdc668
bitstream.checksumAlgorithm.fl_str_mv	MD5 MD5 MD5 MD5 MD5
repository.name.fl_str_mv	Repositorio Digital Universidad Autonoma de Occidente
repository.mail.fl_str_mv	repositorio@uao.edu.co
_version_	1814259772321431552
spelling	Sepúlveda Salcedo, Lilian Sofíavirtual::4682-1Arias, Juddy H.7af95990a8d47b7d3885d353985b2f08Martinez,Hector Jairo6a0f1f7fc6fbda14edaff8dc10244f38Vasilieva, Olga31f6a4db00254953edddbca148e36487Universidad Autónoma de Occidente. Calle 25 115-85. Km 2 vía Cali-Jamundí2020-02-13T16:20:25Z2020-02-13T16:20:25Z20151311-80801314-3395http://red.uao.edu.co//handle/10614/11876En este trabajo, presentamos un modelo depredador-presa para analizar la dinámica de la población del mosquito Aedes aegypti, al que se atribuye bastante la transmisión del dengue en Cali, Colombia. El modelo describe una interacción de una especie depredadora acuática introducida deliberadamente en el hábitat local de reproducción de mosquitos, donde los estadios inmaduros de Aedes aegypti (huevos, larvas y pupas) ya están presentes y constituyen la población de presas. El modelo también tiene en cuenta la población local de adultos.In this paper, we introduce a predator-prey model to analyze the population dynamics of the Aedes aegypti mosquito which is fairly blamed for the transmission of dengue in Cali, Colombia. The model describes an interaction of an aquatic predacious species deliberately introduced into local mosquito breeding habitat, where the Aedes aegypti immature stages (eggs, larvae, and pupae) are already present and constitute the prey population. The model also accounts for local population of adult female mosquitoes (or mature stage) emerging from the breeding site. This population is considered as a target for reduction by deploying an adequate predacious species since only female mosquitoes are held responsible for transmission of dengue and other vector-borne diseases. Having analyzed the model, we have derived the mosquito survival threshold with predation as a function of predator’s biological characteristics. The model’s parameters were adjusted to the average seasonal temperatures of Cali, Colombia and explicit conditions for biological characteristics of prospective efficient predators were established. Numerical simulation with introduction of an efficient predacious species in local mosquito breeding habitats revealed the possibility of eventual mosquito extinction in such localities. Finally, some particular biological species were proposed as potential candidates for efficient predatorsapplication/pdf38 páginasengAcademic Publications Ltd.International Journal of Pure and Applied Mathematics. Volume 105, número 4, (2015); páginas 561-5975974561105Sepúlveda Salcedo, L.S., Arias, J. H., Martínez, H.J., Vasilieva, O.(2015). Predator-prey model for analysis of aedes aegypti population dynamics in Cali, Colombia. International Journal of Pure and Applied Mathematics. 105(4), 561-597. http://red.uao.edu.co//handle/10614/11876International Journal of Pure and Applied MathematicsAlshehri, M. S., and Saeed, M. Dengue fever outburst and its relationship with climatic factors. World Applied Sciences Journal 22, 4 (2013), 506–515.Arias, J., Martínez, H., Sepulveda, L., and Vasilieva, O. Estimación de parámetros de dos modelos para la din´amica del dengue en Cali [Parameter estimation for two models describing dynamics of dengue in Cali]. Internal Research Report, Project C.I. 7900, 2014.Bravo, A., Likitvivatanavong, S., Gill, S. S., and Sober´on, M. Bacillus thuringiensis: a story of a successful bioinsecticide. Insect Biochemistry and Molecular Biology 41, 7 (2011), 423–431. Special Issue: Toxicology and Resistance.Brown, J. E., McBride, C. S., Johnson, P., Ritchie, S., Paupy, C., Bossin, H., Lutomiah, J., Fernandez-Salas, I., Ponlawat, A., Cornel, A. J., Black, W. C., Gorrochotegui-Escalante, N., Urdaneta-Marquez, L., Sylla, M., Slotman, M., Murray, K. O., Walker, C., and Powell, J. R. Worldwide patterns of genetic differentiation imply multiple “domestications” of Aedes aegypti, a major vector of human diseases. Proceedings of the Royal Society B: Biological Sciences 278, 1717 (2011), 2446–2454.Chang, M. S., Christophel, E. M., Gopinath, D., and Abdur, R. M. Challenges and future perspective for dengue vector control in the Western Pacific Region. Western Pacific Surveillance and Response Journal: WPSAR 2, 2 (2011), 9.Chitnis, N., Hyman, J., and Cushing, J. Determining important parameters in the spread of malaria through the sensitivity analysis of a mathematical model. Bulletin of Mathematical Biology 70, 5 (2008), 1272–1296.Christophers, S. Aedes aegypti (L.) the yellow fever mosquito: its life history, bionomics and structure. Cambridge University Press, 1960. Escobar-Morales, G., Ed. Cali en cifras 2011 [Cali in numbers 2011]. Departamento Administrativo de Planeaci´on. Alcaldia de Santiago de Cali, 2011.Esteva, L., and Mo Yang, H. Mathematical model to assess the control of Aedes aegypti mosquitoes by the sterile insect technique. Mathematical Biosciences 198, 2 (2005), 132–147.Faulde, M. K., Uedelhoven, W. M., and Robbins, R. G. Contact toxicity and residual activity of different permethrin-based fabric impregnation methods for Aedes aegypti (diptera: Culicidae), Ixodes ricinus (acari: Ixodidae), and Lepisma saccharina (thysanura: Lepismatidae). Journal of Medical Entomology 40, 6 (2003), 935–941.Fonseca-Gonz´alez, I., Qui˜nones, M. L., Lenhart, A., and Brogdon, W. G. Insecticide resistance status of Aedes aegypti (l.) from Colombia. Pest Management Science 67, 4 (2011), 430–437.Guzman, A., and Ist´uriz, R. E. Update on the global spread of dengue. International Journal of Antimicrobial Agents 36 (2010), S40–S42.Guzman, M. G., Halstead, S. B., Artsob, H., Buchy, P., Farrar, J., Gubler, D. J., Hunsperger, E., Kroeger, A., Margolis, H. S., Mart´ınez, E., Nathan, M. B., Pelegrino, J. L., Simmons, C., Yoksan, S., and Peeling, R. W. Dengue: a continuing global threat. Nature Reviews Microbiology 8 (2010), S7–S16.Hagenlocher, M., Delmelle, E., Casas, I., and Kienberger, S. Assessing socioeconomic vulnerability to dengue fever in Cali, Colombia: statistical vs expert-based modeling. International Journal of Health Geographics 12, 1 (2013), 36.Halstead, S. B. Identifying protective dengue vaccines: guide to mastering an empirical process. Vaccine 31, 41 (2013), 4501–4507.Jansen, C. C., and Beebe, N. W. The dengue vector Aedes aegypti : what comes next. Microbes and Infection 12, 4 (2010), 272–279.Kay, B., and Nam, V. S. New strategy against Aedes aegypti in Vietnam. The Lancet 365, 9459 (2005), 613–617.Kay, B. H., Nam, V. S., Van Tien, T., Yen, N. T., Phong, T. V., Diep, V. T., Ninh, T. U., Bektas, A., and Aaskov, J. G. Control of Aedes vectors of dengue in three provinces of Vietnam by use of Mesocyclops (Copepoda) and community-based methods validated by entomologic, clinical, and serological surveillance. The American Journal of Tropical Medicine and Hygiene 66, 1 (2002), 40–48.Marín, C., Mu˜noz, A., Toro, H., and Restrepo, L. Modeling strategies for chemical and biological control of Aedes aegypti. Matem´aticas: Enseñanza Universitaria XIX (2011), 63–78.Marten, G. G. Human Ecology: Basic Concepts for Sustainable Development. Earthscan, London, 2001.Marten, G. G., and Reid, J. W. Cyclopoid copepods. Journal of the American Mosquito Control Association 23, sp2 (2007), 65–92.McGraw, E. A., and O’Neill, S. L. Beyond insecticides: new thinking on an ancient problem. Nature Reviews Microbiology 11, 3 (2013), 181–193.Méndez, F., Barreto, M., Arias, J. F., Rengifo, G., Muñoz, J., Burbano, M. E., and Parra, B. Human and mosquito infections by dengue viruses during and after epidemics in a dengue endemic region of Colombia. The American Journal of Tropical Medicine and Hygiene 74, 4 (2006), 678–683.Nam, V. S., Yen, N. T., Duc, H. M., Tu, T. C., Thang, V. T., Le, N. H., Le Loan, L., Huong, V. T. Q., Khanh, L. H. K., Trang, H. T. T., et al. Community-based control of Aedes aegypti by using Mesocyclops in southern Vietnam. The American Journal of Tropical Medicine and Hygiene 86, 5 (2012), 850–859.Nam, V. S., Yen, N. T., Holynska, M., Reid, J. W., and Kay, B. H. National progress in dengue vector control in Vietnam: survey for Mesocyclops (Copepoda), Micronecta (Corixidae), and fish as biological control agents. The American Journal of Tropical Medicine and Hygiene 62, 1(2000), 5–10.Nam, V. S., Yen, N. T., Phong, T. V., Ninh, T. U., Le Quyen, M., Le Viet, L., Bektas, A., Briscombe, A., Aaskov, J. G., Ryan, P. A., and Kay, B. H. Elimination of dengue by community programs using Mesocyclops (copepoda) against Aedes aegypti in central Vietnam. The American Journal of Tropical Medicine and Hygiene 72, 1 (2005), 67–73.Ocampo, C. B., Mina, N. J., Carabal´ı, M., Alexander, N., and Osorio, L. Reduction in dengue cases observed during mass control of Aedes (Stegomyia) in street catch basins in an endemic urban area in Colombia. Acta Tropica 132 (2014), 15–22.Ocampo, C. B., Salazar-Terreros, M. J., Mina, N. J., McAllister, J., and Brogdon, W. Insecticide resistance status of Aedes aegypti in 10 localities in Colombia. Acta Tropica 118, 1 (2011), 37–44.Ocampo, C. B., and Wesson, D. M. Population dynamics of Aedes aegypti from a dengue hyperendemic urban setting in Colombia. The American Journal of Tropical Medicine and Hygiene 71, 4 (2004), 506–513.Ordóñez-González, J. G., Mercado Hernández, R., Flores Suárez, A. E., and Fernández Salas, I. The use of sticky ovitraps to estimate dispersal of Aedes aegypti in northeastern Mexico. Journal of the American Mosquito Control Association 17, 2 (2001), 93–97.Rey, J. R., O’Connell, S., Su´arez, S., Men´endez, Z., Lounibos, L. P., and Byer, G. Laboratory and field studies of Macrocyclops albidus (crustacea: Copepoda) for biological control of mosquitoes in artificial containers in a subtropical environment. Journal of Vector Ecology 29 (2004), 124–134.Ritchie, S. A. Dengue vector bionomics: why Aedes aegypti is such a good vector. In Dengue and dengue hemorrhagic fever, D. J. Gubler, E. E. Ooi, S. Vasudevan, and J. Farrar, Eds., 2 ed. CAB International, 2014, pp. 455–480.Rodrigues de Paula, A., Souza-Brito, E., Pereira, C. R., Pinheiro-Carrera, M., and Samuels, R. I. Susceptibility of adult Aedes aegypti (Diptera: Culicidae) to infection by Metarhizium anisopliae and Beauveria bassiana: prospects for dengue vector control. Biocontrol Science and Technology 18, 10 (2008), 1017–1025Derechos Reservados - Universidad Autónoma de Occidentehttps://creativecommons.org/licenses/by-nc/4.0/info:eu-repo/semantics/openAccessAtribución-NoComercial 4.0 Internacional (CC BY-NC 4.0)http://purl.org/coar/access_right/c_abf2Predator-prey model for analysis of aedes aegypti population dynamics in Cali, ColombiaArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARTREFinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/version/c_970fb48d4fbd8a85Mosquitos - Control biológicoMosquitoes - Biological controlAedes aegyptiBiological controlImmature and mature stagesPredator-prey systemMosquito survival thresholdPublicationaeb47892-e365-4668-9322-a97426768e27virtual::4682-1aeb47892-e365-4668-9322-a97426768e27virtual::4682-1https://scholar.google.com.co/citations?user=u2HFR6AAAAAJ&hl=esvirtual::4682-10000-0002-7052-1851virtual::4682-1https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0000277746virtual::4682-1TEXTA0251_Predator-prey model for analysis of Aedes aegypti population dynamics in Cali, Colombia.pdf.txtA0251_Predator-prey model for analysis of Aedes aegypti population dynamics in Cali, Colombia.pdf.txtExtracted texttext/plain73549https://red.uao.edu.co/bitstreams/20d3cc0e-f266-4bec-83d5-f9aa07ec0f1f/download4a05cfa2335680a78243994a7b5cfc43MD57THUMBNAILA0251_Predator-prey model for analysis of Aedes aegypti population dynamics in Cali, Colombia.pdf.jpgA0251_Predator-prey model for analysis of Aedes aegypti population dynamics in Cali, Colombia.pdf.jpgGenerated Thumbnailimage/jpeg11410https://red.uao.edu.co/bitstreams/27a2abb7-f604-4d88-81dd-25ef8c14ef2c/download93b88057690ae0eebcdae2b81ea1300eMD58CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8805https://red.uao.edu.co/bitstreams/a38b1b75-c191-4be9-a2ef-504f91791107/download4460e5956bc1d1639be9ae6146a50347MD52LICENSElicense.txtlicense.txttext/plain; charset=utf-81665https://red.uao.edu.co/bitstreams/186aa1a2-92db-4982-8604-0efeeb4a73c7/download20b5ba22b1117f71589c7318baa2c560MD53ORIGINALA0251_Predator-prey model for analysis of Aedes aegypti population dynamics in Cali, Colombia.pdfA0251_Predator-prey model for analysis of Aedes aegypti population dynamics in Cali, Colombia.pdfTexto archivo completo del artículo de revista, PDFapplication/pdf614297https://red.uao.edu.co/bitstreams/bc0aebb7-99ff-486a-b06b-6255ef37c818/download97576a30d9f527559815896020fdc668MD5410614/11876oai:red.uao.edu.co:10614/118762024-03-15 08:57:42.571https://creativecommons.org/licenses/by-nc/4.0/Derechos Reservados - Universidad Autónoma de Occidenteopen.accesshttps://red.uao.edu.coRepositorio Digital Universidad Autonoma de Occidenterepositorio@uao.edu.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

Predator-prey model for analysis of aedes aegypti population dynamics in Cali, Colombia

Publicaciones similares