ZINB model predictions of endemic prevalence were generated for each replicate population in the constant and variable temperature treatment. On the x-axis, each replicate population is indicated by a “C” or “V” denoting that it is from the constant or variable temperature treatment and a number that identifies the replicate population. The ZINB model predictions of endemic prevalence relatively match experimental observations of endemic prevalence in each replicate population thus indicating that the model well describes the data. The data underlying this figure can be found in S1 Data. ZINB, zero-inflated negative binomial.</p
A In the timer model (blue), exponential nuclear multiplication is stopped after a preset duration t...
<p>Unadjusted prevalence (α) represents estimates for each replicate (3 per pathogen, 12 estimates t...
Regression analysis is used to determine relationship between one or several response variable (Y) w...
Gray boxes are observed estimates from our experiment. White and black boxes are predicted data from...
(A) and (B) illustrate the posteriors for the negative binomial component of the model fit, where th...
Estimates under constant environmental conditions fall on the vertical dashed line, representing end...
The ZINB and logistic regression models were re-fit to a series of candidate days for the first day ...
Replicate time series of (A) infection prevalence and (B) mean infection burden across sampled hosts...
For each parameter being estimated in the ZINB model, plots in the left-hand column depict trace plo...
Experimental data of host infection burden during the endemic phase in the constant (yellow) and var...
<p>A: cumulative incidence (total number of symptomatic cases) over a 28-year simulation as a functi...
<p>The straight gray lines show the actual emergence timing, and the dashed line shows the timing wh...
<p>Distribution of “observed” paired serology as predicted by the model (color bars) and as observed...
Panels (A) and (B) both compare endemic prevalence in constant (yellow curve) and variable (blue cur...
For each accepted particle, the process was simulated again, and the total number of infected indivi...
A In the timer model (blue), exponential nuclear multiplication is stopped after a preset duration t...
<p>Unadjusted prevalence (α) represents estimates for each replicate (3 per pathogen, 12 estimates t...
Regression analysis is used to determine relationship between one or several response variable (Y) w...
Gray boxes are observed estimates from our experiment. White and black boxes are predicted data from...
(A) and (B) illustrate the posteriors for the negative binomial component of the model fit, where th...
Estimates under constant environmental conditions fall on the vertical dashed line, representing end...
The ZINB and logistic regression models were re-fit to a series of candidate days for the first day ...
Replicate time series of (A) infection prevalence and (B) mean infection burden across sampled hosts...
For each parameter being estimated in the ZINB model, plots in the left-hand column depict trace plo...
Experimental data of host infection burden during the endemic phase in the constant (yellow) and var...
<p>A: cumulative incidence (total number of symptomatic cases) over a 28-year simulation as a functi...
<p>The straight gray lines show the actual emergence timing, and the dashed line shows the timing wh...
<p>Distribution of “observed” paired serology as predicted by the model (color bars) and as observed...
Panels (A) and (B) both compare endemic prevalence in constant (yellow curve) and variable (blue cur...
For each accepted particle, the process was simulated again, and the total number of infected indivi...
A In the timer model (blue), exponential nuclear multiplication is stopped after a preset duration t...
<p>Unadjusted prevalence (α) represents estimates for each replicate (3 per pathogen, 12 estimates t...
Regression analysis is used to determine relationship between one or several response variable (Y) w...