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PROGRAMME - British Society of Animal Science

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Investigation & the Development <strong>of</strong> Dynamic Mathematical Models <strong>of</strong> PRRSV Host-Pathogen<br />

Interactions<br />

Zeenath Islam, Roslin Research Institute, University <strong>of</strong> Edinburgh<br />

Email: zeenath.islam@roslin.ed.ac.uk<br />

Mathematical models <strong>of</strong> host-pathogen interactions provide valuable insight into the mechanisms underlying virus dynamics as<br />

they concern the dynamics <strong>of</strong> the complex system as a whole. In this study we investigate within-host interactions <strong>of</strong> the<br />

endemic viral disease Porcine Respiratory and Reproductive Syndrome virus (PRRS), and conduct statistical analysis on data<br />

from five PRRS challenge studies. In particular we investigate functions describing the viral load pr<strong>of</strong>iles, which can be used<br />

for subsequent genetic analyses and for the validation <strong>of</strong> dynamic mathematical models <strong>of</strong> PRRS. Using mixed models we<br />

explored the fixed and random effects on the model parameters and found a nonlinear relationship between viral load and days<br />

post infection that is well described by the Woods function yi =At b e ¡ci t ; individual variation is represented in the parameter<br />

c which corresponds to the rate <strong>of</strong> decline from the peak viral load. Future studies will involve refining the models to account<br />

for viral reactivation; a phenomenon exhibited in approximately a third <strong>of</strong> the pigs in the dataset. Neither the role <strong>of</strong> hostgenetics<br />

nor the factors which drive this reactivation are yet fully understood.<br />

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