<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>9(6)</volume><submitter>Lu Z</submitter><pubmed_abstract>&lt;h4>Objectives&lt;/h4>To explore the multifactorial causality of prolonged viral shedding time and identify different viral shedding trajectories in Omicron BA.2 variant infections.&lt;h4>Methods&lt;/h4>The Kaplan-Meier method was used to estimate the survivor function, and the Cox proportional hazards model was fitted to identify factors associated with viral shedding time. Group-based trajectory model (GBTM) was used to identify different viral shedding trajectories. Ordinal logistic regression was used to identify factors that significantly impacted the trajectory membership.&lt;h4>Results&lt;/h4>The overall median viral shedding time was 12 days (interquartile range [IQR]: 8-15). Viral shedding time was longer for female cases, cases who were incompletely vaccinated, cases with comorbidities, cases w</pubmed_abstract><journal>Heliyon</journal><pagination>e17173</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC10277587</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Understanding the viral shedding time of Omicron variant BA.2 infection in Shanghai: A population-based observational study.</pubmed_title><pmcid>PMC10277587</pmcid><pubmed_authors>Lu Z</pubmed_authors><pubmed_authors>Li B</pubmed_authors><pubmed_authors>Huang L</pubmed_authors><pubmed_authors>Kuang Z</pubmed_authors><pubmed_authors>Song Z</pubmed_authors></additional><is_claimable>false</is_claimable><name>Understanding the viral shedding time of Omicron variant BA.2 infection in Shanghai: A population-based observational study.</name><description>&lt;h4>Objectives&lt;/h4>To explore the multifactorial causality of prolonged viral shedding time and identify different viral shedding trajectories in Omicron BA.2 variant infections.&lt;h4>Methods&lt;/h4>The Kaplan-Meier method was used to estimate the survivor function, and the Cox proportional hazards model was fitted to identify factors associated with viral shedding time. Group-based trajectory model (GBTM) was used to identify different viral shedding trajectories. Ordinal logistic regression was used to identify factors that significantly impacted the trajectory membership.&lt;h4>Results&lt;/h4>The overall median viral shedding time was 12 days (interquartile range [IQR]: 8-15). Viral shedding time was longer for female cases, cases who were incompletely vaccinated, cases with comorbidities, cases w</description><dates><release>2023-01-01T00:00:00Z</release><publication>2023 Jun</publication><modification>2025-04-21T16:58:30.181Z</modification><creation>2025-04-21T16:58:30.181Z</creation></dates><accession>S-EPMC10277587</accession><cross_references><pubmed>37342569</pubmed><doi>10.1016/j.heliyon.2023.e17173</doi></cross_references></HashMap>