Data description and hypotheses for <i>Salmonella</i> persistence and transmission in wild pigs (<i>Sus scrofa</i>) modelled using both the cross sectional prevalence study design and molecular case series study design.

<p>Data description and hypotheses for <i>Salmonella</i> persistence and transmission in wild pigs (<i>Sus scrofa</i>) modelled using both the cross sectional prevalence study design and molecular case series study design.</p

The study area.

<p>The inset shows the study area in the context of the Australian continent. The solid and dashed lines represent major and minor drainage lines respectively. The dots represent sampling locations.</p

Akaike information criterion (AIC) values and other model selection metrics for molecular case series linear models using information theoretic approaches [29].

<p>The probability of both the resources and host immunity models is high rather than the other hypothesised mechanisms of transmission. Models are listed in AIC ranked order for each study design.</p

Host immunity hypothesis model formulation and coefficient estimates for molecular case series study designs.

<p>A fixed effect (indicator) covariate for herd and the distance between two pigs were included to control clustering and spatial autocorrelation.</p

Akaike information criterion (AIC) values and other model selection metrics for cross sectional prevalence logistic regression models using information theoretic approaches [29].

<p>The probability of the resource transmission model is very high (>0.99) and clearly the data support this model. Models are listed in AIC ranked order for each study design.</p

Resource hypothesis model formulation and coefficient estimates for molecular case series study design.

<p>A fixed effect (indicator) covariate for herd and the distance between two pigs were included to control clustering and spatial autocorrelation.</p