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... Tekijä Marco Hamins-Puértolas (15238661)

Muut tekijät: “…Darunee Buddhari (625855)…”

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

Muut tekijät: “…Darunee Buddhari (625855)…”

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... Tekijä Marco Hamins-Puértolas (15238661)

Muut tekijät: “…Darunee Buddhari (625855)…”

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... Tekijä Marco Hamins-Puértolas (15238661)

Muut tekijät: “…Darunee Buddhari (625855)…”

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

Muut tekijät: “…Darunee Buddhari (625855)…”

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

Muut tekijät: “…Darunee Buddhari (625855)…”

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. Tekijä Marco Hamins-Puértolas (15238661)

Muut tekijät: “…Darunee Buddhari (625855)…”

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... Tekijä Marco Hamins-Puértolas (15238661)

Muut tekijät: “…Darunee Buddhari (625855)…”

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... Tekijä Marco Hamins-Puértolas (15238661)

Muut tekijät: “…Darunee Buddhari (625855)…”

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... Tekijä Marco Hamins-Puértolas (15238661)

Muut tekijät: “…Darunee Buddhari (625855)…”

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

Muut tekijät: “…Darunee Buddhari (625855)…”

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

Muut tekijät: “…Darunee Buddhari (625855)…”

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

Muut tekijät: “…Darunee Buddhari (625855)…”

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... Tekijä Marco Hamins-Puértolas (15238661)

Muut tekijät: “…Darunee Buddhari (625855)…”

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

Muut tekijät: “…Darunee Buddhari (625855)…”

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

Muut tekijät: “…Darunee Buddhari (625855)…”

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

Muut tekijät: “…Darunee Buddhari (625855)…”

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

Muut tekijät: “…Darunee Buddhari (625855)…”