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.

<p>For each we present the predicted infection status using the mixture model approach along with the true underlying infection status. Parameters chosen for forward simulation are presented in <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1013708#pcbi.1013...

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Detalles Bibliográficos
Autor principal:	Marco Hamins-Puértolas (15238661) (author)
Otros Autores:	Darunee Buddhari (625855) (author), Henrik Salje (589157) (author), Angkana T. Huang (12262139) (author), Taweewun Hunsawong (798675) (author), Derek A.T. Cummings (14971341) (author), Stefan Fernandez (146590) (author), Aaron Farmer (4288318) (author), Surachai Kaewhiran (22683535) (author), Direk Khampaen (22683538) (author), Anon Srikiatkhachorn (110184) (author), Sopon Iamsirithaworn (260152) (author), Adam Waickman (118668) (author), Stephen J. Thomas (7105673) (author), Timothy Endy (150971) (author), Alan L. Rothman (6835178) (author), Kathryn B. Anderson (6835166) (author), Isabel Rodriguez-Barraquer (233670) (author)
Publicado:	2025
Materias:	Medicine Biotechnology Ecology Immunology Cancer Science Policy Infectious Diseases Virology Computational Biology Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Chemical Sciences not elsewhere classified since many cases linked immunosorbent assay independently utilize information hemagglutination inhibition assay globe &# 8217 currently implemented cut convalescent serum collected 87 &# 8211 82 &# 8211 real world data multiple serological assays infer infection events generate finalized interpretations bayesian mixture model prior standard interpretations pcr confirmed infections jointly model data gold standard ). f1 scores ). hai data consistently direct detection methods gold standard f1 scores infection detection eia ). including data individual assays new model igm data whether individuals transmission potential results provide recently experienced provide insight probabilistic framework population living point approaches pathogen systems kamphaeng phet interpreting results incorporating igg important role higher accuracy first test diagnostic process creating uncertainty combined metric already half 677 pairs
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Sumario:	<p>For each we present the predicted infection status using the mixture model approach along with the true underlying infection status. Parameters chosen for forward simulation are presented in <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1013708#pcbi.1013708.s002" target="_blank">S1 Table</a> and resulting metrics of accuracy are presented in <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1013708#pcbi.1013708.s006" target="_blank">S4 Table</a>.</p>

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.

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