Acute and convalescent data for serological assays, colored by probability of infection found during model testing for Model 9. a) Geometric mean titers of a haemagglutination inhi... av Marco Hamins-Puértolas (15238661)

Övriga upphovsmän:

Acute and convalescent samples from cohort study data for serological assays, colored by whether they are predicted as infections using Model 9. av Marco Hamins-Puértolas (15238661)

Övriga upphovsmän:

Relationship between estimated probability of a dengue virus infection (DENV) found during model testing for Model 9 (incorporating paired IgG, IgM, GM HAI, and acute GM HAI serolo... av Marco Hamins-Puértolas (15238661)

Övriga upphovsmän:

Distribution of paired serological data that fall into probability buckets when using Model 9 (incorporating paired IgG, IgM, GM HAI, and acute GM HAI serological data) and the num... av Marco Hamins-Puértolas (15238661)

Övriga upphovsmän:

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

Övriga upphovsmän:

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

Övriga upphovsmän:

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. av Marco Hamins-Puértolas (15238661)

Övriga upphovsmän:

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... av Marco Hamins-Puértolas (15238661)

Övriga upphovsmän:

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... av Marco Hamins-Puértolas (15238661)

Övriga upphovsmän:

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... av Marco Hamins-Puértolas (15238661)

Övriga upphovsmän:

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

Övriga upphovsmän:

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

Övriga upphovsmän:

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

Övriga upphovsmän:

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... av Marco Hamins-Puértolas (15238661)

Övriga upphovsmän:

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

Övriga upphovsmän:

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

Övriga upphovsmän:

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

Övriga upphovsmän:

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

Övriga upphovsmän: