<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Bowyer RCE</submitter><funding>Economic and Social Research Council</funding><funding>Wellcome Longitudinal Population Study</funding><funding>Scottish Funding Council</funding><funding>British Heart Foundation</funding><funding>MRC Integrative Epidemiology Unit</funding><funding>National Institute for Health Research Collaboration for Leadership in Applied Health Research and Care Yorkshire and Humber</funding><funding>Health Foundation</funding><funding>CRUK Integrative Cancer Epidemiology Programme</funding><funding>UK Research and Innovation</funding><funding>Zoe Global Ltd</funding><funding>Medical Research Council</funding><funding>Longitudinal Studies Resource Centre</funding><funding>National Institute for Health Research (NIHR)</funding><funding>Chief Scientist Office</funding><funding>Wellcome Trust</funding><funding>The Health Foundation</funding><funding>Chronic Disease Research Foundation</funding><pagination>199-210</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9860244</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>38(2)</volume><pubmed_abstract>Multiple studies across global populations have established the primary symptoms characterising Coronavirus Disease 2019 (COVID-19) and long COVID. However, as symptoms may also occur in the absence of COVID-19, a lack of appropriate controls has often meant that specificity of symptoms to acute COVID-19 or long COVID, and the extent and length of time for which they are elevated after COVID-19, could not be examined. We analysed individual symptom prevalences and characterised patterns of COVID-19 and long COVID symptoms across nine UK longitudinal studies, totalling over 42,000 participants. Conducting latent class analyses separately in three groups ('no COVID-19', 'COVID-19 in last 12 weeks', 'COVID-19 > 12 weeks ago'), the data did not support the presence of more than two distinct sy</pubmed_abstract><journal>European journal of epidemiology</journal><pubmed_title>Characterising patterns of COVID-19 and long COVID symptoms: evidence from nine UK longitudinal studies.</pubmed_title><pmcid>PMC9860244</pmcid><funding_grant_id>NIHR200166</funding_grant_id><funding_grant_id>WT101597MA</funding_grant_id><funding_grant_id>ES/K005146/1</funding_grant_id><funding_grant_id>ES/M001660/1</funding_grant_id><funding_grant_id>2301201</funding_grant_id><funding_grant_id>HDR-9002</funding_grant_id><funding_grant_id>MR/P023444/1</funding_grant_id><funding_grant_id>COV-LT-0009</funding_grant_id><funding_grant_id>217065/Z/19/Z</funding_grant_id><funding_grant_id>ES/W013142/1</funding_grant_id><funding_grant_id>CZD/16/6]</funding_grant_id><funding_grant_id>221574/Z/20/Z</funding_grant_id><funding_grant_id>202802/Z/16/Z</funding_grant_id><funding_grant_id>C18281/A29019</funding_grant_id><funding_grant_id>MC_UU_00019/2</funding_grant_id><funding_grant_id>MC_PC_15018</funding_grant_id><funding_grant_id>ES/V012789/1</funding_grant_id><funding_grant_id>MC_UU_00011/3</funding_grant_id><funding_grant_id>ES/V011650/1</funding_grant_id><funding_grant_id>G9815508</funding_grant_id><funding_grant_id>HR03006</funding_grant_id><funding_grant_id>WT212904/Z/18/Z</funding_grant_id><funding_grant_id>MC_UU_00011/1</funding_grant_id><funding_grant_id>216767/Z/19/Z</funding_grant_id><funding_grant_id>MC_PC_20059</funding_grant_id><funding_grant_id>2076161</funding_grant_id><funding_grant_id>104036/Z/14/Z</funding_grant_id><funding_grant_id>MC_PC_20051</funding_grant_id><funding_grant_id>MC_PC_20059-6</funding_grant_id><funding_grant_id>MC_PC_20030</funding_grant_id><funding_grant_id>MR/W021315/1</funding_grant_id><funding_grant_id>CS/16/4/32482</funding_grant_id><funding_grant_id>MR/N024397/1</funding_grant_id><pubmed_authors>Thompson EJ</pubmed_authors><pubmed_authors>Williams DM</pubmed_authors><pubmed_authors>Shaw RJ</pubmed_authors><pubmed_authors>Steves CJ</pubmed_authors><pubmed_authors>Kwong ASF</pubmed_authors><pubmed_authors>Huggins C</pubmed_authors><pubmed_authors>Tilling K</pubmed_authors><pubmed_authors>Chaturvedi N</pubmed_authors><pubmed_authors>Timpson NJ</pubmed_authors><pubmed_authors>Sterne JAC</pubmed_authors><pubmed_authors>Silverwood RJ</pubmed_authors><pubmed_authors>Toms R</pubmed_authors><pubmed_authors>Ploubidis GB</pubmed_authors><pubmed_authors>Bowyer RCE</pubmed_authors><pubmed_authors>Hou B</pubmed_authors><pubmed_authors>Kibble M</pubmed_authors><pubmed_authors>CONVALESCENCE Study</pubmed_authors></additional><is_claimable>false</is_claimable><name>Characterising patterns of COVID-19 and long COVID symptoms: evidence from nine UK longitudinal studies.</name><description>Multiple studies across global populations have established the primary symptoms characterising Coronavirus Disease 2019 (COVID-19) and long COVID. However, as symptoms may also occur in the absence of COVID-19, a lack of appropriate controls has often meant that specificity of symptoms to acute COVID-19 or long COVID, and the extent and length of time for which they are elevated after COVID-19, could not be examined. We analysed individual symptom prevalences and characterised patterns of COVID-19 and long COVID symptoms across nine UK longitudinal studies, totalling over 42,000 participants. Conducting latent class analyses separately in three groups ('no COVID-19', 'COVID-19 in last 12 weeks', 'COVID-19 > 12 weeks ago'), the data did not support the presence of more than two distinct sy</description><dates><release>2023-01-01T00:00:00Z</release><publication>2023 Feb</publication><modification>2026-03-17T15:25:03.76Z</modification><creation>2025-04-05T20:52:23.255Z</creation></dates><accession>S-EPMC9860244</accession><cross_references><pubmed>36680646</pubmed><doi>10.1007/s10654-022-00962-6</doi></cross_references></HashMap>