<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Dietz E</submitter><funding>The Francis Crick Institute</funding><funding>Wellcome Trust</funding><pagination>143</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC10964495</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>22(1)</volume><pubmed_abstract>&lt;h4>Background&lt;/h4>Syndromic surveillance often relies on patients presenting to healthcare. Community cohorts, although more challenging to recruit, could provide additional population-wide insights, particularly with SARS-CoV-2 co-circulating with other respiratory viruses.&lt;h4>Methods&lt;/h4>We estimated the positivity and incidence of SARS-CoV-2, influenza A/B, and RSV, and trends in self-reported symptoms including influenza-like illness (ILI), over the 2022/23 winter season in a broadly representative UK community cohort (COVID-19 Infection Survey), using negative-binomial generalised additive models. We estimated associations between test positivity and each of the symptoms and influenza vaccination, using adjusted logistic and multinomial models.&lt;h4>Results&lt;/h4>Swabs taken at 32,937/1,</pubmed_abstract><journal>BMC medicine</journal><pubmed_title>SARS-CoV-2, influenza A/B and respiratory syncytial virus positivity and association with influenza-like illness and self-reported symptoms, over the 2022/23 winter season in the UK: a longitudinal surveillance cohort.</pubmed_title><pmcid>PMC10964495</pmcid><funding_grant_id>CC2223</funding_grant_id><funding_grant_id>110110/Z/15/Z</funding_grant_id><pubmed_authors>Matthews P</pubmed_authors><pubmed_authors>House T</pubmed_authors><pubmed_authors>Pouwels K</pubmed_authors><pubmed_authors>Fowler T</pubmed_authors><pubmed_authors>Diamond I</pubmed_authors><pubmed_authors>De Angelis D</pubmed_authors><pubmed_authors>Boothe H</pubmed_authors><pubmed_authors>Rourke E</pubmed_authors><pubmed_authors>Vihta KD</pubmed_authors><pubmed_authors>Peto T</pubmed_authors><pubmed_authors>Taylor N</pubmed_authors><pubmed_authors>Ehsaan M</pubmed_authors><pubmed_authors>Dietz E</pubmed_authors><pubmed_authors>Walker AS</pubmed_authors><pubmed_authors>Blake J</pubmed_authors><pubmed_authors>Pritchard E</pubmed_authors><pubmed_authors>Haduli E</pubmed_authors><pubmed_authors>Studley R</pubmed_authors><pubmed_authors>Watson C</pubmed_authors><pubmed_authors>Eyre D</pubmed_authors><pubmed_authors>Stoesser N</pubmed_authors><pubmed_authors>Gaughan C</pubmed_authors><pubmed_authors>Birrell P</pubmed_authors></additional><is_claimable>false</is_claimable><name>SARS-CoV-2, influenza A/B and respiratory syncytial virus positivity and association with influenza-like illness and self-reported symptoms, over the 2022/23 winter season in the UK: a longitudinal surveillance cohort.</name><description>&lt;h4>Background&lt;/h4>Syndromic surveillance often relies on patients presenting to healthcare. Community cohorts, although more challenging to recruit, could provide additional population-wide insights, particularly with SARS-CoV-2 co-circulating with other respiratory viruses.&lt;h4>Methods&lt;/h4>We estimated the positivity and incidence of SARS-CoV-2, influenza A/B, and RSV, and trends in self-reported symptoms including influenza-like illness (ILI), over the 2022/23 winter season in a broadly representative UK community cohort (COVID-19 Infection Survey), using negative-binomial generalised additive models. We estimated associations between test positivity and each of the symptoms and influenza vaccination, using adjusted logistic and multinomial models.&lt;h4>Results&lt;/h4>Swabs taken at 32,937/1,</description><dates><release>2024-01-01T00:00:00Z</release><publication>2024 Mar</publication><modification>2026-07-15T14:53:56.078Z</modification><creation>2025-04-04T23:53:58.508Z</creation></dates><accession>S-EPMC10964495</accession><cross_references><pubmed>38532381</pubmed><doi>10.1186/s12916-024-03351-w</doi></cross_references></HashMap>