Figure 3

(A) Simulated dose response curves for DHA and KDU691 at baseline oocyst intensities (µ0) of 1, 10 and 100 oocysts/midgut. (B) relationship between the pIC50 of infection prevalence (pIC50_prevalence) and the baseline infection intensity at different Hill slopes. Symbols indicate simulated data from the BBD model, the solid lines represent the results from a non-linear regression analysis using least squares to find the best fit. The simulations were run using a fixed value of 9 for the pIC50_intensity parameter. The results indicate that the pIC50_prevalence deviates from the pIC50_intensity with increasing baseline infection intensities and shallower hill slopes. (C) correlation between observed and predicted pIC50 for infection prevalence. The figure compares the pIC50_prevalence values derived by non-linear regression of the data presented in Fig. 1 to the predicted values (pIC50_{prevalence,pred}) calculated according to formula (2). The blue solid line indicates the regression line determined by linear regression using a least-squares method to find the best fit (R2 = 96%), with the dashed blue lines indicating the 95% confidence interval. The dashed red line indicates the identity (y = x).