Parameters for forward simulation using serosim [38].

Samankaltaisia teoksia

• 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)
  Julkaistu: (2025)
• 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 were incorporated (i.e., HAI, IgG, and/or IgM). Bolded values represent the best performing model for the infection definition and metric of interest.
  Tekijä: Marco Hamins-Puértolas (15238661)
  Julkaistu: (2025)
• 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 assay results for RT-PCR, haemagglutination inhibition assay (HAI), and enzyme immunoassay (EIA) are presented.
  Tekijä: Marco Hamins-Puértolas (15238661)
  Julkaistu: (2025)
• 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)
  Julkaistu: (2025)
• Theoretical relationship between time since symptom onset and titers in one infected (red) and three uninfected (blue) individuals.
  Tekijä: Marco Hamins-Puértolas (15238661)
  Julkaistu: (2025)