<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-04-18T07:05:17Z</responseDate><request verb="GetRecord" identifier="oai:www.recercat.cat:20.500.12327/1702" metadataPrefix="oai_dc">https://recercat.cat/oai/request</request><GetRecord><record><header><identifier>oai:recercat.cat:20.500.12327/1702</identifier><datestamp>2025-10-22T11:09:16Z</datestamp><setSpec>com_2072_4428</setSpec><setSpec>com_2072_4427</setSpec><setSpec>col_2072_487898</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Recent Smell Loss Is the Best Predictor of COVID-19 Among Individuals With Recent Respiratory Symptoms</dc:title>
   <dc:creator>Gerkin, Richard C.</dc:creator>
   <dc:creator>Ohla, Kathrin</dc:creator>
   <dc:creator>Veldhuizen, Maria G.</dc:creator>
   <dc:creator>Joseph, Paule V.</dc:creator>
   <dc:creator>Kelly, Christine E.</dc:creator>
   <dc:creator>Bakke, Alyssa J.</dc:creator>
   <dc:creator>Steele, Kimberley E.</dc:creator>
   <dc:creator>Farruggia, Michael C.</dc:creator>
   <dc:creator>Pellegrino, Robert</dc:creator>
   <dc:creator>Pepino, Marta Y.</dc:creator>
   <dc:creator>Bouysset, Cédric</dc:creator>
   <dc:creator>Soler, Graciela M.</dc:creator>
   <dc:creator>Pereda-Loth, Veronica</dc:creator>
   <dc:creator>Dibattista, Michele</dc:creator>
   <dc:creator>Cooper, Keiland W.</dc:creator>
   <dc:creator>Croijmans, Ilja</dc:creator>
   <dc:creator>Di Pizio, Antonella</dc:creator>
   <dc:creator>Ozdener, M. Hakan</dc:creator>
   <dc:creator>Fjaeldstad, Alexander W.</dc:creator>
   <dc:creator>Lin, Cailu</dc:creator>
   <dc:creator>Sandell, Mari A.</dc:creator>
   <dc:creator>Singh, Preet B.</dc:creator>
   <dc:creator>Brindha, V. Evelyn</dc:creator>
   <dc:creator>Olsson, Shannon B.</dc:creator>
   <dc:creator>Saraiva, Luis R.</dc:creator>
   <dc:creator>Ahuja, Gaurav</dc:creator>
   <dc:creator>Alwashahi, Mohammed K.</dc:creator>
   <dc:creator>Bhutani, Surabhi</dc:creator>
   <dc:creator>D’Errico, Anna</dc:creator>
   <dc:creator>Fornazieri, Marco A.</dc:creator>
   <dc:creator>Golebiowski, Jérôme</dc:creator>
   <dc:creator>Hwang, Liang-Dar</dc:creator>
   <dc:creator>Öztürk, Lina</dc:creator>
   <dc:creator>Roura, Eugeni</dc:creator>
   <dc:creator>Spinelli, Sara</dc:creator>
   <dc:creator>Whitcroft, Katherine L.</dc:creator>
   <dc:creator>Guàrdia, Maria Dolors</dc:creator>
   <dc:contributor>Indústries Alimentàries</dc:contributor>
   <dc:contributor>Qualitat i Tecnologia Alimentària</dc:contributor>
   <dc:subject>663/664</dc:subject>
   <dc:description>In a preregistered, cross-sectional study, we investigated whether olfactory loss is a reliable predictor of COVID-19 using a crowdsourced questionnaire in 23 languages to assess symptoms in individuals self-reporting recent respiratory illness. We quantified changes in chemosensory abilities during the course of the respiratory illness using 0–100 visual analog scales (VAS) for participants reporting a positive (C19+; n = 4148) or negative (C19−; n = 546) COVID-19 laboratory test outcome. Logistic regression models identified univariate and multivariate predictors of COVID-19 status and post-COVID-19 olfactory recovery. Both C19+ and C19− groups exhibited smell loss, but it was significantly larger in C19+ participants (mean ± SD, C19+: −82.5 ± 27.2 points; C19−: −59.8 ± 37.7). Smell loss during illness was the best predictor of COVID-19 in both univariate and multivariate models (ROC AUC = 0.72). Additional variables provide negligible model improvement. VAS ratings of smell loss were more predictive than binary chemosensory yes/no-questions or other cardinal symptoms (e.g., fever). Olfactory recovery within 40 days of respiratory symptom onset was reported for ~50% of participants and was best predicted by time since respiratory symptom onset. We find that quantified smell loss is the best predictor of COVID-19 amongst those with symptoms of respiratory illness. To aid clinicians and contact tracers in identifying individuals with a high likelihood of having COVID-19, we propose a novel 0–10 scale to screen for recent olfactory loss, the ODoR-19. We find that numeric ratings ≤2 indicate high odds of symptomatic COVID-19 (4 &lt; OR &lt; 10). Once independently validated, this tool could be deployed when viral lab tests are impractical or unavailable.</dc:description>
   <dc:description>info:eu-repo/semantics/acceptedVersion</dc:description>
   <dc:date>2020-12-25</dc:date>
   <dc:type>info:eu-repo/semantics/article</dc:type>
   <dc:identifier>Gerkin, Richard C, Kathrin Ohla, Maria G Veldhuizen, Paule V Joseph, Christine E Kelly, Alyssa J Bakke, and Kimberley E Steele et al. 2021. "Recent Smell Loss Is The Best Predictor Of COVID-19 Among Individuals With Recent Respiratory Symptoms". Chemical Senses 46. doi:10.1093/chemse/bjaa081.</dc:identifier>
   <dc:identifier>0379-864X</dc:identifier>
   <dc:identifier>http://hdl.handle.net/20.500.12327/1702</dc:identifier>
   <dc:identifier>https://doi.org/10.1093/chemse/bjaa081</dc:identifier>
   <dc:language>eng</dc:language>
   <dc:relation>Chemical Senses</dc:relation>
   <dc:rights>Copyright © The Author(s) 2020. Published by Oxford University Press. All rights reserved</dc:rights>
   <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
   <dc:format>26</dc:format>
   <dc:publisher>Oxford University Press</dc:publisher>
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