Predictive Dynamic Modeling for Virological Surveillance and Clinical Management of Dengue -- Unstable Dynamics of Vector Borne Diseases: Modeling Through Delay Differential Equations -- West Nile Virus- 10 Years in North America -- Global Impact of Leishmania Infections -- Chagas Disease: Epidemiology and Evolving Strategies for Control -- Filaria Monitoring Visualization System (FMVS) - A New Dimension for Integrated Control of Lymphatic Filariasis -- Integrated Disease Management of Japanese Encephalitis in India -- Global Impact of Malaria and Determinants of Severe Malarial Anemia -- Index.

Despite great advances in public health worldwide, insect vector-borne infectious diseases remain a leading cause of morbidity and mortality. Diseases that are transmitted by arthropods such as mosquitoes, sand flies, fleas, and ticks affect hundreds of millions of people and account for nearly three million deaths all over the world. In the past there was very little hope of controlling the epidemics caused by these diseases, but modern advancements in science and technology are providing a variety of ways in which these diseases can be handled. Clearly, the process of transmission of an infectious disease is a nonlinear (not necessarily linear) dynamic process which can be understood only by appropriately quantifying the vital parameters that govern these dynamics. The following aspects are associated with the modeling of the dynamics of infectious diseases: · Disease transmission dynamics · Predictive dynamics · Control dynamics · Relapse dynamics · Transformation of experimental results from closed (laboratory) environment to open (real world) environment Dynamic Models of Infectious Diseases - Vector Borne Diseases, presents a self-contained account of the dynamic modeling of diseases of vital importance transmitted by insect arthropods.