There is a compelling need for new drugs and efficient treatments against mosquito-borne diseases. Environmentally safe, but effective insecticides that address the problems of resistance are required. Computational Design of Chemicals for the Control of Mosquitoes and Their Diseases explains how the search for new substances effective against mosquitoes and their diseases has benefited from the use of in silico techniques. QSAR modeling is suited to identify the key structural features and/or physicochemical properties explaining an activity and to propose candidate molecules for further evaluation by laboratory tests. Homology modeling is useful to approximate the 3D structure of proteins of interest. Pharmacophore modeling is a powerful means to capture the chemical features, responsible for an activity and to identify new potentially active compounds via the virtual screening of databases. Fugacity modeling and a wealth of other modeling paradigms are useful for risk assessment in vector-borne disease control. Features: Compiles numerous data and information on the biology and physiology of mosquitoes and their impact on health, Focuses on the QSAR and other in silico techniques that can be successfully used to find new molecules acting as larvicide or adulticide, Provides strategies to overcome problems of mosquito resistance to insecticides, Demonstrates the potential of computer-aided methods in the design of novel or modification of known repellents, Deals with the discovery or repurposing of drugs for malaria, dengue. West Nile, yellow fever, Zika, Japanese encephalitis, chikungunya, Riff Valley fever, and lymphatic filariasis, Assists pharma because of the very important role of natural compounds in discovery and development of new human medicines, Analyzes models for assessing exposure of residents, bystanders, and operators to chemicals used in mosquito control Book jacket.