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      Modelo matemático para el control químico con resistencia del Aedes aegypti (Diptera: Culicidae) Translated title: A mathematical model for the chemical control of Aedes aegypti (Diptera: Culicidae) having acquired chemical resistance

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          Abstract

          El dengue es una enfermedad viral común en zonas tropicales y subtropicales transmitida por mosquitos del género Aedes. El virus es transmitido a los humanos por la picadura de un mosquito hembra infectado. Ya que no existen vacunas que protejan contra la infección, el control de la enfermedad se hace controlando la población adulta o inmadura del mosquito. En este trabajo se modela la dinámica de crecimiento del mosquito sometido a control adulticida y con resistencia al químico. Se hace el análisis del modelo mediante análisis clásico de estabilidad local de sistemas dinámicos, lo que permite determinar el umbral de crecimiento del mosquito y a partir de éste establecer una estrategia adecuada de control químico. Se incluye la simulación numérica para diferentes escenarios con el fin de evaluar si hay diferencias en el comportamiento del sistema cuando la resistencia está presente y cuando no lo está.

          Translated abstract

          Dengue fever is a common vector-borne disease in tropical and subtropical areas. It is transmitted to humans by the bite of an infected female Aedes mosquito. Since no vaccines are currently available which can protect against infection, disease control relies on controlling the mosquito population. This work was aimed at modelling such mosquito's population dynamics regarding chemical control of the adult population and its acquired resistance to chemicals. The model was analysed by using classical dynamic system theory techniques and mosquito growth threshold was determined as this establishes when a particular population may prosper in the environment or when it is likely to disappear. A suitable chemical control strategy was developed from such threshold. Simulations were made in control and non-control scenarios; this determined the degree of control application effectiveness against different levels of acquired resistance.

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          Impact of climate change on health: what is required of climate modellers?

          The potential impacts of climate change on human health are significant, ranging from direct effects such as heat stress and flooding, to indirect influences including changes in disease transmission and malnutrition in response to increased competition for crop and water resources. Development agencies and policy makers tasked with implementing adaptive strategies recognize the need to plan for these impacts. However at present there is little guidance on how to prioritize their funding to best improve the resilience of vulnerable communities. Here we address this issue by arguing that closer collaboration between the climate modelling and health communities is required to provide the focused information necessary to best inform policy makers. The immediate requirement is to create multidisciplinary research teams bringing together skills in both climate and health modelling. This will enable considerable information exchange, and closer collaboration will highlight current uncertainties and hopefully routes to their reduction. We recognize that climate is only one aspect influencing the highly complex behaviour of health and disease issues. However we are optimistic that climate-health model simulations, including uncertainty bounds, will provide much needed estimates of the likely impacts of climate change on human health.
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            Impact of climate change on health: what is required of climate modellers?

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              Impact of climate change on health: what is required of climate modellers?

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                Author and article information

                Journal
                rsap
                Revista de Salud Pública
                Rev. salud pública
                Instituto de Salud Publica, Facultad de Medicina - Universidad Nacional de Colombia (Bogotá, DF, Colombia )
                0124-0064
                December 2010
                : 12
                : 6
                : 1033-1041
                Affiliations
                [01] Armenia orgnameUniversidad del Quindío orgdiv1Facultad de Ciencias Básicas y Tecnologías orgdiv2Departamento de Matemáticas Colombia ldrestrepo@ 123456uniquindio.edu.co
                Article
                S0124-00642010000600015 S0124-0064(10)01200615
                10.1590/s0124-00642010000600015
                88e1d00d-3c7e-47e6-88d2-4d6ad7e3d470

                This work is licensed under a Creative Commons Attribution 4.0 International License.

                History
                : 10 May 2010
                : 23 December 2010
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 1, Pages: 9
                Product

                SciELO Public Health

                Self URI: Texto completo solamente en formato PDF (ES)
                Categories
                Modelos

                Modelos matemáticos,Dengue,control de vectores,Mathematical model,dengue,vector control

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