Abstract
The biology and behaviour of biting insects is a vitally important aspect in the spread of vector-borne diseases. This paper aims to determine, through the use of mathematical models, what effect incorporating vector senescence and realistic feeding patterns has on disease. A novel model is developed to enable the effects of age- and bite-structure to be examined in detail. This original PDE framework extends previous age-structured models into a further dimension to give a new insight into the role of vector biting and its interaction with vector mortality and spread of disease. Through the PDE model, the roles of the vector death and bite rates are examined in a way which is impossible under the traditional ODE formulation. It is demonstrated that incorporating more realistic functions for vector biting and mortality in a model may give rise to different dynamics than those seen under a more simple ODE formulation. The numerical results indicate that the efficacy of control methods that increase vector mortality may not be as great as predicted under a standard host–vector model, whereas other controls including treatment of humans may be more effective than previously thought.
Highlights
The role of biting insects is of the utmost importance in the transmission dynamics of vector-borne diseases; without them many diseases could not spread
In the early mathematical models of malaria, Ross indicates that vector death rate and bite rate are important with both featuring in his threshold theorem for malaria (Ross, 1916)
The ordinary differential equation (ODE) generated by the method of lines (MOL) were solved through time with MATLAB’s ode45 to simulate the dynamics of an epidemic
Summary
The role of biting insects is of the utmost importance in the transmission dynamics of vector-borne diseases; without them many diseases could not spread. Vector biology such as longevity and biting rate has long been known to determine the persistence of such diseases and to affect the size and speed of epidemics and the equilibrium prevalence of endemics. In the early mathematical models of malaria, Ross indicates that vector death rate and bite rate are important with both featuring in his threshold theorem for malaria (Ross, 1916). Taking a basic model of vector-borne disease, one can use a mechanistic approach driven by observation of the biology of transmission and introduce more of the inherent complexity. The biology and corresponding behaviour of the vector is scrutinised
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