Special Session 85: New Trends in The Mathematical Modeling of Epidemiology and Immunology

The effect of model structure and data availability on virus dynamics at three biological scales

Stanca M Ciupe
Virginia Tech
USA
Co-Author(s):    Nora Heitzman-Breen; Yuganthi R. Liyanage; Nisha Duggal; Necibe Tuncer
Abstract:
Understanding the epidemiology of emerging vector-borne pathogens in avian populations requires systems investigation at each scale involved in the host, virus transmission cycle, from individual bird infections, to bird-to-vector transmissions, and to viral incidence in bird and vector populations. For new pathogens field data are sparse, and predictions can be aided by the use of laboratory-type inoculation and transmission experiments combined with dynamical mathematical modelling. In this talk, I will present the differences in the dynamics of two strains of such a pathogen - the Usutu virus. I will construct mathematical models for the within-host scale, bird-to-vector transmission scale and vector-borne epidemiological scale and use individual within-host infectious virus data and per cent mosquito infection data to predict virus incidence in birds and mosquitoes. I will address the dependence of predictions on model structure, data uncertainty and experimental design.