{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,14]],"date-time":"2025-05-14T04:15:53Z","timestamp":1747196153267,"version":"3.40.5"},"reference-count":23,"publisher":"Public Library of Science (PLoS)","issue":"11","license":[{"start":{"date-parts":[[2021,11,19]],"date-time":"2021-11-19T00:00:00Z","timestamp":1637280000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["www.plosone.org"],"crossmark-restriction":false},"short-container-title":["PLoS ONE"],"abstract":"<jats:p>COVID-19 mainly presents as a respiratory disease with flu\u2010like symptoms, however, recent findings suggest that non-respiratory symptoms can occur early in the infection and cluster together in different groups in different regions. We collected surveillance data among COVID-19 suspected cases tested in mainland Portugal during the first wave of the pandemic, March-April 2020. A multivariable logistic-regression analysis was performed to ascertain the effects of age, sex, prior medical condition and symptoms on the likelihood of testing positive and hospitalisation. Of 25,926 COVID-19 suspected cases included in this study, 5,298 (20%) tested positive. Symptoms were grouped into ten clusters, of which two main ones: one with cough and fever and another with the remainder. There was a higher odds of a positive test with increasing age, myalgia and headache. The odds of being hospitalised increased with age, presence of fever, dyspnoea, or having a prior medical condition although these results varied by region. Presence of cough and other respiratory symptoms did not predict COVID-19 compared to non-COVID respiratory disease patients in any region. Dyspnoea was a strong determinant of hospitalisation, as well as fever and the presence of a prior medical condition, whereas these results varied by region.<\/jats:p>","DOI":"10.1371\/journal.pone.0260249","type":"journal-article","created":{"date-parts":[[2021,11,19]],"date-time":"2021-11-19T18:30:30Z","timestamp":1637346630000},"page":"e0260249","update-policy":"https:\/\/doi.org\/10.1371\/journal.pone.corrections_policy","source":"Crossref","is-referenced-by-count":3,"title":["Clinical and hospitalisation predictors of COVID-19 in the first month of the pandemic, Portugal"],"prefix":"10.1371","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9999-8402","authenticated-orcid":true,"given":"Mariana","family":"Perez Duque","sequence":"first","affiliation":[]},{"given":"Neil J.","family":"Saad","sequence":"additional","affiliation":[]},{"given":"H\u00e9lo\u00efse","family":"Lucaccioni","sequence":"additional","affiliation":[]},{"given":"Cristina","family":"Costa","sequence":"additional","affiliation":[]},{"given":"Geroid","family":"McMahon","sequence":"additional","affiliation":[]},{"given":"Firmino","family":"Machado","sequence":"additional","affiliation":[]},{"given":"Sooria","family":"Balasegaram","sequence":"additional","affiliation":[]},{"given":"Rita","family":"S\u00e1 Machado","sequence":"additional","affiliation":[]}],"member":"340","published-online":{"date-parts":[[2021,11,19]]},"reference":[{"key":"pone.0260249.ref001","unstructured":"Organization WH. 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