Chemosensory deficits are best predictor of serologic response among individuals infected with SARS-CoV-2.
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| Title: | Chemosensory deficits are best predictor of serologic response among individuals infected with SARS-CoV-2. |
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| Authors: | Overdevest JB; Department of Otolaryngology-Head and Neck Surgery, Columbia University Irving Medical Center, NewYork-Presbyterian Hospital, New York, NY, United States of America., Irace AL; Department of Otolaryngology-Head and Neck Surgery, Columbia University Irving Medical Center, NewYork-Presbyterian Hospital, New York, NY, United States of America., Mazzanti V; Department of Biostatistics, Columbia University, New York, NY, United States of America., Oh EJ; Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA, United States of America., Joseph PV; National Institute of Alcohol Abuse and Alcoholism, Section of Sensory Science and Metabolism & National Institute of Nursing Research, Bethesda, MD, United States of America., Devanand DP; Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, United States of America.; Division of Geriatric Psychiatry, New York State Psychiatric Institute, New York, NY, United States of America., Bitan ZC; Department of Pathology and Cell Biology, Columbia University, New York, NY, United States of America., Hod EA; Department of Pathology and Cell Biology, Columbia University, New York, NY, United States of America., Gudis DA; Department of Otolaryngology-Head and Neck Surgery, Columbia University Irving Medical Center, NewYork-Presbyterian Hospital, New York, NY, United States of America., Chiuzan C; Department of Biostatistics, Columbia University, New York, NY, United States of America.; Institute of Health System Science Feinstein Institutes for Medical Research Northwell Health, New York, NY, United States of America. |
| Source: | PloS one [PLoS One] 2022 Dec 14; Vol. 17 (12), pp. e0274611. Date of Electronic Publication: 2022 Dec 14 (Print Publication: 2022). |
| Publication Type: | Journal Article; Research Support, N.I.H., Extramural |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1932-6203 |
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| DOI: | 10.1371/journal.pone.0274611 |
