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Example of Figure Supplement reference

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trvrb committed May 4, 2019
1 parent f2ff3a6 commit 81ae62092ef8b24d21c014e33e920a9f28047646
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  1. +1 −1 manuscript/dengue-antigenic-dynamics.tex
@@ -506,7 +506,7 @@ \subsection*{Viral clade dynamics}
We compared this to a secondary model parameterization with only heterotypic waning (see Methods), under which we observe similar model performance (Table~\ref{fitness_model_performance}).

We find that antigenic fitness is able to explain much of the observed variation in serotype growth and decline (Figure~\ref{serotype_fitness_model}).
Forward simulations under the optimized parameter set display damped oscillations around the serotype-specific `set points' determined by intrinsic fitnesses, but intrinsic fitness alone is unable to explain serotype fluctuations ($R^2=0.04$; Table~\ref{fitness_model_performance}, Figure~\ref{simulated_frequencies_modelParameters}).
Forward simulations under the optimized parameter set display damped oscillations around the serotype-specific `set points' determined by intrinsic fitnesses, but intrinsic fitness alone is unable to explain serotype fluctuations ($R^2=0.04$; Table~\ref{fitness_model_performance}, Figure~\ref{serotype_fitness_model}---Figure Supplement~\ref{simulated_frequencies_modelParameters}).
This demonstrates that although intrinsic fitness plays an important role in dictating long-term dynamics, wherein particular serotypes tend to circulate at low frequency (e.g., DENV4) and others at high frequency (e.g., DENV1 and DENV2), antigenic fitness plays out on shorter-term time scales, dictating circulation over several subsequent years.

We similarly use this model to quantify the effect of within-serotype antigenic variation on the success and decline of canonical DENV genotypes (Figure~\ref{genotype_fitness}).

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