{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T01:30:01Z","timestamp":1760146201135,"version":"build-2065373602"},"reference-count":39,"publisher":"MDPI AG","issue":"20","license":[{"start":{"date-parts":[[2024,10,12]],"date-time":"2024-10-12T00:00:00Z","timestamp":1728691200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Funda\u00e7\u00e3o Ci\u00eancia e Tecnologia","award":["UIDP\/04923\/2020"],"award-info":[{"award-number":["UIDP\/04923\/2020"]}]},{"name":"CHRC","award":["UIDP\/04923\/2020"],"award-info":[{"award-number":["UIDP\/04923\/2020"]}]},{"name":"ERDF-European Regional Fund through the Operational Program for Competitiveness and Internationalization, and by LISBOA 2020\u2014Regional Operational Program for Lisbon and Vale do Tejo","award":["UIDP\/04923\/2020"],"award-info":[{"award-number":["UIDP\/04923\/2020"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Diagnostics"],"abstract":"<jats:p>Background\/Objectives: The interest in processing human speech and other human-generated audio signals as a diagnostic tool has increased due to the COVID-19 pandemic. The project OSCAR (vOice Screening of CoronA viRus) aimed to develop an algorithm to screen for COVID-19 using a dataset of Portuguese participants with voice recordings and clinical data. Methods: This cross-sectional study aimed to characterise the pattern of sounds produced by the vocal apparatus in patients with SARS-CoV-2 infection documented by a positive RT-PCR test, and to develop and validate a screening algorithm. In Phase II, the algorithm developed in Phase I was tested in a real-world setting. Results: In Phase I, after filtering, the training group consisted of 166 subjects who were effectively available to train the classification model (34.3% SARS-CoV-2 positive\/65.7% SARS-CoV-2 negative). Phase II enrolled 58 participants (69.0% SARS-CoV-2 positive\/31.0% SARS-CoV-2 negative). The final model achieved a sensitivity of 85%, a specificity of 88.9%, and an F1-score of 84.7%, suggesting voice screening algorithms as an attractive strategy for COVID-19 diagnosis. Conclusions: Our findings highlight the potential of a voice-based detection strategy as an alternative method for respiratory tract screening.<\/jats:p>","DOI":"10.3390\/diagnostics14202273","type":"journal-article","created":{"date-parts":[[2024,10,14]],"date-time":"2024-10-14T05:47:58Z","timestamp":1728884878000},"page":"2273","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Acoustic and Clinical Data Analysis of Vocal Recordings: Pandemic Insights and Lessons"],"prefix":"10.3390","volume":"14","author":[{"given":"Pedro","family":"Carreiro-Martins","sequence":"first","affiliation":[{"name":"Comprehensive Health Research Center (CHRC), LA-REAL, NOVA Medical School, Campo M\u00e1rtires da P\u00e1tria, 130, 1169-056 Lisboa, Portugal"},{"name":"Servi\u00e7o de Imunoalergologia, Hospital de Dona Estef\u00e2nia, ULS S\u00e3o Jos\u00e9, Rua Jacinta Marto, 1169-045 Lisbon, Portugal"}]},{"given":"Paulo","family":"Paix\u00e3o","sequence":"additional","affiliation":[{"name":"Comprehensive Health Research Center (CHRC), LA-REAL, NOVA Medical School, Campo M\u00e1rtires da P\u00e1tria, 130, 1169-056 Lisboa, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2841-6836","authenticated-orcid":false,"given":"Iolanda","family":"Caires","sequence":"additional","affiliation":[{"name":"Comprehensive Health Research Center (CHRC), LA-REAL, NOVA Medical School, Campo M\u00e1rtires da P\u00e1tria, 130, 1169-056 Lisboa, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6907-089X","authenticated-orcid":false,"given":"Pedro","family":"Matias","sequence":"additional","affiliation":[{"name":"Fraunhofer Portugal AICOS, Rua Alfredo Allen 455\/461, 4200-135 Porto, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4022-7424","authenticated-orcid":false,"given":"Hugo","family":"Gamboa","sequence":"additional","affiliation":[{"name":"Fraunhofer Portugal AICOS, Rua Alfredo Allen 455\/461, 4200-135 Porto, Portugal"},{"name":"Laboratory for Instrumentation, Biomedical Engineering and Radiation Physics (LIBPhys), Faculdade de Ci\u00eancias e Tecnologia, NOVA University of Lisbon, Caparica, 2820-001 Lisbon, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2881-313X","authenticated-orcid":false,"given":"Filipe","family":"Soares","sequence":"additional","affiliation":[{"name":"Fraunhofer Portugal AICOS, Rua Alfredo Allen 455\/461, 4200-135 Porto, Portugal"}]},{"given":"Pedro","family":"Gomez","sequence":"additional","affiliation":[{"name":"NeuSpeLab, CTB, Universidad Polit\u00e9cnica de Madrid, Campus de Montegancedo, s\/n, 28223 Madrid, Spain"}]},{"given":"Joana","family":"Sousa","sequence":"additional","affiliation":[{"name":"NOS Inova\u00e7\u00e3o, Rua Actor Ant\u00f3nio Silva, 9\u20136\u00b0 Piso, Campo Grande, 1600-404 Lisboa, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5149-7473","authenticated-orcid":false,"given":"Nuno","family":"Neuparth","sequence":"additional","affiliation":[{"name":"Comprehensive Health Research Center (CHRC), LA-REAL, NOVA Medical School, Campo M\u00e1rtires da P\u00e1tria, 130, 1169-056 Lisboa, Portugal"},{"name":"Servi\u00e7o de Imunoalergologia, Hospital de Dona Estef\u00e2nia, ULS S\u00e3o Jos\u00e9, Rua Jacinta Marto, 1169-045 Lisbon, Portugal"}]}],"member":"1968","published-online":{"date-parts":[[2024,10,12]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1566","DOI":"10.1109\/JBHI.2018.2872038","article-title":"TussisWatch: A Smart-Phone System to Identify Cough Episodes as Early Symptoms of Chronic Obstructive Pulmonary Disease and Congestive Heart Failure","volume":"23","author":"Windmon","year":"2019","journal-title":"IEEE J. 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