<p>(A) Model based on all contacts with relative susceptibility of over-18s, <i>α</i>, equal to one. (B) Model based on close contacts with <i>α</i> = 1. (C) Model based on all contacts with variable <i>α</i>. (D) Model based on close contacts with variable <i>α</i>. Colour shows model support under the Akaike Information Criterion (AIC). Note that models with numerous contact classes in B and D had some classes consisting solely of individuals – some of whom had been infected – that had no reported close contacts. The likelihood of such people seeing infection given the model assumptions was zero; the difference in AIC was therefore infinite.</p
Wallinga et al. (1) have done an excellent job of demon-strating how simple data can be used to impr...
<p>Odds ratios, 95% confidence intervals and Wald-test p values are given for (a) univariate models,...
Background Individual based models have become a valuable tool for modeling the spatiotemporal dy...
<p>Thick blue line, model prediction; light blue bars, data. Error bars give 95% binomial confidence...
<p>(A) Possible model structures. Given the size of the Hong Kong dataset, the maximum possible numb...
<p>Comparison of three models of contact function (<a href="http://www.plosone.org/article/info:doi/...
<p>(A) Detailed analysis of AIC for models with age structure only and <i>α</i> = 0 (i.e. top rows i...
<p>The log-likelihood difference between the simple and complex contagion models. (***) is very stro...
Models were compared by means of the Akaike information criterion (AIC). Each value represents the a...
<p>K = number of model parameters fitted to data, n = number of experimental observations (22 observ...
<p>Unadjusted prevalence (α) represents estimates for each replicate (3 per pathogen, 12 estimates t...
<p>The model with smallest AIC value estimating the morbidity risk of the host (rainbow trout or zeb...
<p>The probability of both the resources and host immunity models is high rather than the other hypo...
Background: Mathematical models and simulations of disease spread often assume a constant per-conta...
<p>Shown are Akaike’s Information Criteria (AIC) and differences between best model and competing mo...
Wallinga et al. (1) have done an excellent job of demon-strating how simple data can be used to impr...
<p>Odds ratios, 95% confidence intervals and Wald-test p values are given for (a) univariate models,...
Background Individual based models have become a valuable tool for modeling the spatiotemporal dy...
<p>Thick blue line, model prediction; light blue bars, data. Error bars give 95% binomial confidence...
<p>(A) Possible model structures. Given the size of the Hong Kong dataset, the maximum possible numb...
<p>Comparison of three models of contact function (<a href="http://www.plosone.org/article/info:doi/...
<p>(A) Detailed analysis of AIC for models with age structure only and <i>α</i> = 0 (i.e. top rows i...
<p>The log-likelihood difference between the simple and complex contagion models. (***) is very stro...
Models were compared by means of the Akaike information criterion (AIC). Each value represents the a...
<p>K = number of model parameters fitted to data, n = number of experimental observations (22 observ...
<p>Unadjusted prevalence (α) represents estimates for each replicate (3 per pathogen, 12 estimates t...
<p>The model with smallest AIC value estimating the morbidity risk of the host (rainbow trout or zeb...
<p>The probability of both the resources and host immunity models is high rather than the other hypo...
Background: Mathematical models and simulations of disease spread often assume a constant per-conta...
<p>Shown are Akaike’s Information Criteria (AIC) and differences between best model and competing mo...
Wallinga et al. (1) have done an excellent job of demon-strating how simple data can be used to impr...
<p>Odds ratios, 95% confidence intervals and Wald-test p values are given for (a) univariate models,...
Background Individual based models have become a valuable tool for modeling the spatiotemporal dy...