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MATHEMATICAL MODELS FOR EMERGING AND RE-EMERGING MOSQUITO-BORNE DISEASES
Last modified: 2018-05-25
Abstract
Infections transmitted by mosquitoes represent an important burden to public health systems worldwide. “Classical†mosquito-borne diseases such as chikungunya and dengue are rapidly expanding their geographic range; Zika virus has emerged as a new pandemic threat with severe congenital syndromes; several other mosquito-borne viruses such as West Nile and Usutu viruses are under close surveillance because of their increasing spread in animal hosts and the fear of potential mutations causing severe symptomaticity and/or transmission in humans as well.
Mathematical and computational models can improve our basic knowledge on infection and outbreak dynamics, quantify potential transmission risks and support the planning and design of preventive and reactive interventions. We will showcase a number of practical applications of models to the vector population, behavior and ecology, allowing the estimation of potential transmission risks to humans and the cost-effectiveness of preventive interventions. We will then proceed to illustrate multiple examples concerning quantitative inferences on actual outbreak dynamics and control interventions for chikungunya, dengue and Zika, in different environmental and geographical settings.
Mathematical and computational models can improve our basic knowledge on infection and outbreak dynamics, quantify potential transmission risks and support the planning and design of preventive and reactive interventions. We will showcase a number of practical applications of models to the vector population, behavior and ecology, allowing the estimation of potential transmission risks to humans and the cost-effectiveness of preventive interventions. We will then proceed to illustrate multiple examples concerning quantitative inferences on actual outbreak dynamics and control interventions for chikungunya, dengue and Zika, in different environmental and geographical settings.
References
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