Theoretical relationship between time since symptom onset and titers in one infected (red) and three uninfected (blue) individuals.
<p>These titers are mapped onto a two-dimensional representation of acute and convalescent titers. Ellipsoids represent the expected distribution of acute and convalescent titers for infected and uninfected individuals while the underlying marginal distribution of these acute titers is present...
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2025
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| _version_ | 1849927625810640896 |
|---|---|
| author | Marco Hamins-Puértolas (15238661) |
| author2 | Darunee Buddhari (625855) Henrik Salje (589157) Angkana T. Huang (12262139) Taweewun Hunsawong (798675) Derek A.T. Cummings (14971341) Stefan Fernandez (146590) Aaron Farmer (4288318) Surachai Kaewhiran (22683535) Direk Khampaen (22683538) Anon Srikiatkhachorn (110184) Sopon Iamsirithaworn (260152) Adam Waickman (118668) Stephen J. Thomas (7105673) Timothy Endy (150971) Alan L. Rothman (6835178) Kathryn B. Anderson (6835166) Isabel Rodriguez-Barraquer (233670) |
| author2_role | author author author author author author author author author author author author author author author author author |
| author_facet | Marco Hamins-Puértolas (15238661) Darunee Buddhari (625855) Henrik Salje (589157) Angkana T. Huang (12262139) Taweewun Hunsawong (798675) Derek A.T. Cummings (14971341) Stefan Fernandez (146590) Aaron Farmer (4288318) Surachai Kaewhiran (22683535) Direk Khampaen (22683538) Anon Srikiatkhachorn (110184) Sopon Iamsirithaworn (260152) Adam Waickman (118668) Stephen J. Thomas (7105673) Timothy Endy (150971) Alan L. Rothman (6835178) Kathryn B. Anderson (6835166) Isabel Rodriguez-Barraquer (233670) |
| author_role | author |
| dc.creator.none.fl_str_mv | Marco Hamins-Puértolas (15238661) Darunee Buddhari (625855) Henrik Salje (589157) Angkana T. Huang (12262139) Taweewun Hunsawong (798675) Derek A.T. Cummings (14971341) Stefan Fernandez (146590) Aaron Farmer (4288318) Surachai Kaewhiran (22683535) Direk Khampaen (22683538) Anon Srikiatkhachorn (110184) Sopon Iamsirithaworn (260152) Adam Waickman (118668) Stephen J. Thomas (7105673) Timothy Endy (150971) Alan L. Rothman (6835178) Kathryn B. Anderson (6835166) Isabel Rodriguez-Barraquer (233670) |
| dc.date.none.fl_str_mv | 2025-11-25T19:00:31Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pcbi.1013708.g001 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/figure/Theoretical_relationship_between_time_since_symptom_onset_and_titers_in_one_infected_red_and_three_uninfected_blue_individuals_/30715194 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | 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 |
| dc.title.none.fl_str_mv | Theoretical relationship between time since symptom onset and titers in one infected (red) and three uninfected (blue) individuals. |
| dc.type.none.fl_str_mv | Image Figure info:eu-repo/semantics/publishedVersion image |
| description | <p>These titers are mapped onto a two-dimensional representation of acute and convalescent titers. Ellipsoids represent the expected distribution of acute and convalescent titers for infected and uninfected individuals while the underlying marginal distribution of these acute titers is presented at the top. Opacity of each pair of points represents titers at each acute sample. For the infected individual (red) the lightest point represents how titers compare when sampling close to the date of symptom onset while the darkest red point represents how titers compare when sampling more than a week from symptom onset, often defined as a “recent” infection. The marginal distribution of acute titers colored by infected and uninfected individuals is presented above the acute and convalescent titer plot to demonstrate how these recent infections can present.</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_a1ae04e5d351083af043e6c9c7e881d3 |
| identifier_str_mv | 10.1371/journal.pcbi.1013708.g001 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/30715194 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Theoretical relationship between time since symptom onset and titers in one infected (red) and three uninfected (blue) individuals.Marco Hamins-Puértolas (15238661)Darunee Buddhari (625855)Henrik Salje (589157)Angkana T. Huang (12262139)Taweewun Hunsawong (798675)Derek A.T. Cummings (14971341)Stefan Fernandez (146590)Aaron Farmer (4288318)Surachai Kaewhiran (22683535)Direk Khampaen (22683538)Anon Srikiatkhachorn (110184)Sopon Iamsirithaworn (260152)Adam Waickman (118668)Stephen J. Thomas (7105673)Timothy Endy (150971)Alan L. Rothman (6835178)Kathryn B. Anderson (6835166)Isabel Rodriguez-Barraquer (233670)MedicineBiotechnologyEcologyImmunologyCancerScience PolicyInfectious DiseasesVirologyComputational BiologyBiological Sciences not elsewhere classifiedMathematical Sciences not elsewhere classifiedChemical Sciences not elsewhere classifiedsince many caseslinked immunosorbent assayindependently utilize informationhemagglutination inhibition assayglobe &# 8217currently implemented cutconvalescent serum collected87 &# 821182 &# 8211real world datamultiple serological assaysinfer infection eventsgenerate finalized interpretationsbayesian mixture modelprior standard interpretationspcr confirmed infectionsjointly model datagold standard ).f1 scores ).hai data consistentlydirect detection methodsgold standardf1 scoresinfection detectioneia ).including dataindividual assaysnew modeligm datawhether individualstransmission potentialresults providerecently experiencedprovide insightprobabilistic frameworkpopulation livingpoint approachespathogen systemskamphaeng phetinterpreting resultsincorporating iggimportant rolehigher accuracyfirst testdiagnostic processcreating uncertaintycombined metricalready half677 pairs<p>These titers are mapped onto a two-dimensional representation of acute and convalescent titers. Ellipsoids represent the expected distribution of acute and convalescent titers for infected and uninfected individuals while the underlying marginal distribution of these acute titers is presented at the top. Opacity of each pair of points represents titers at each acute sample. For the infected individual (red) the lightest point represents how titers compare when sampling close to the date of symptom onset while the darkest red point represents how titers compare when sampling more than a week from symptom onset, often defined as a “recent” infection. The marginal distribution of acute titers colored by infected and uninfected individuals is presented above the acute and convalescent titer plot to demonstrate how these recent infections can present.</p>2025-11-25T19:00:31ZImageFigureinfo:eu-repo/semantics/publishedVersionimage10.1371/journal.pcbi.1013708.g001https://figshare.com/articles/figure/Theoretical_relationship_between_time_since_symptom_onset_and_titers_in_one_infected_red_and_three_uninfected_blue_individuals_/30715194CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/307151942025-11-25T19:00:31Z |
| spellingShingle | Theoretical relationship between time since symptom onset and titers in one infected (red) and three uninfected (blue) individuals. Marco Hamins-Puértolas (15238661) 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 |
| status_str | publishedVersion |
| title | Theoretical relationship between time since symptom onset and titers in one infected (red) and three uninfected (blue) individuals. |
| title_full | Theoretical relationship between time since symptom onset and titers in one infected (red) and three uninfected (blue) individuals. |
| title_fullStr | Theoretical relationship between time since symptom onset and titers in one infected (red) and three uninfected (blue) individuals. |
| title_full_unstemmed | Theoretical relationship between time since symptom onset and titers in one infected (red) and three uninfected (blue) individuals. |
| title_short | Theoretical relationship between time since symptom onset and titers in one infected (red) and three uninfected (blue) individuals. |
| title_sort | Theoretical relationship between time since symptom onset and titers in one infected (red) and three uninfected (blue) individuals. |
| topic | 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 |