Parameters found in Bayesian estimation framework, definition, and prior distribution. ‌ Marco Hamins-Puértolas (15238661)

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(A) Estimated intercept for titer boost when acute titers are initially low for each assay. ‌ Marco Hamins-Puértolas (15238661)

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Simulated serological data using serosim and subsequent results using the full mixture model on (a) HAI, (b) IgG and (c) IgM data with additional observational noise. ‌ Marco Hamins-Puértolas (15238661)

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Acute and convalescent samples from cohort study data for serological assays, colored by the number of serological assays (RT-PCR, HAI, and EIA) that interpret the individual as ha... ‌ Marco Hamins-Puértolas (15238661)

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Comparison between simulation based estimates for boosts in GM HAI, IgG, and IgM that is experienced after an infection event as a function of acute GM HAI, IgG, and IgM titers ind... ‌ Marco Hamins-Puértolas (15238661)

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Comparison of each accuracy metric (sensitivity, specificity, F1, and area under the curve for reporter operator curve (AUC ROC)) on each model. Models are defined by which assays... ‌ Marco Hamins-Puértolas (15238661)

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Relative observational noise by assay and dataset. ‌ Marco Hamins-Puértolas (15238661)

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Model comparisons for simulated data with differing amounts of observational noise. ‌ Marco Hamins-Puértolas (15238661)

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Theoretical relationship between time since symptom onset and titers in one infected (red) and three uninfected (blue) individuals. ‌ Marco Hamins-Puértolas (15238661)

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Characteristics for Kamphaeng Phet cohort studies split by source (KPS1 and KFCS) as well as across the entire dataset. Information on age, hospitalization as well as serological a... ‌ Marco Hamins-Puértolas (15238661)

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Acute and convalescent data for serological assays, colored by probability of. ‌ Marco Hamins-Puértolas (15238661)

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Parameters for forward simulation using serosim [38]. ‌ Marco Hamins-Puértolas (15238661)

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Acute and convalescent serological data from Thai cohorts used in this analyses, colored by true infections status and prediction of infection during model testing. ‌ Marco Hamins-Puértolas (15238661)

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Comparison of accuracy metrics (sensitivity, specificity, and AUC ROC) of each model defined by what subset of data was used for training and testing. ‌ Marco Hamins-Puértolas (15238661)

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