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Epidemiologic and clinical characteristics of 91 hospitalized patients with COVID-19 in Zhejiang, China: a retrospective, multi-centre case series.
Open accessPublished version of a preprint
Abstract
BACKGROUND: Recent studies have focused on initial clinical and epidemiological characteristics of the coronavirus disease 2019 (COVID-19), which is the mainly revealing situation in Wuhan, Hubei. AIM: This study aims to reveal more data on the epidemiological and clinical characteristics of COVID-19 patients outside of Wuhan, Zhejiang, China. DESIGN: This study was a retrospective case series. METHODS: Eighty-eight cases of laboratory-confirmed and three cases of clinically confirmed COVID-19 were admitted to five hospitals in Zhejiang province, China. Data were collected from 20 January 2020 to 11 February 2020. RESULTS AND DISCUSSION: Of all 91 patients, 88 (96.70%) were laboratory-confirmed COVID-19 with throat swab samples that tested positive for SARS-Cov-2, three (3.30%) cases were clinically diagnosed. The median age of the patients was 50 (36.5-57) years, and female accounted for 59.34%. In this sample, 40 (43.96%) patients had contracted the disease from local cases, 31 (34.07%) patients had been to Wuhan/Hubei, eight (8.79%) patients had contacted with people from Wuhan, and 11 (12.09%) patients were diagnosed after having flown together in the same flight with no passenger that could later be identified as the source of infection. In particular within the city of Ningbo, 60.52% cases can be traced back to an event held in a temple. The most common symptoms were fever (71.43%), cough (60.44%) and fatigue (43.96%). The median of incubation period was 6 (interquartile range 3-8) days and the median time from the first visit to a doctor to the confirmed diagnosis was 1 (1-2) days. According to the chest computed tomography scans, 67.03% cases had bilateral pneumonia. CONCLUSIONS: Social activity cluster, family cluster and flying alongside with persons already infected with COVID-19 were how people got infected with COVID-19 in Zhejiang.
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“some recent studies have explored the role of personality traits during the first lockdown stage, suggesting that vulnerable factors (neuroticism) and protective factors (extraversion and conscientiousness) can predict mental health status [e.g., (14, 15)]”
From The Evolution of Psychological and Behavioral Consequences of Self-Isolation During Lockdown: A Longitudinal Study Across United Kingdom and Italy (2022) · cites this paper as [14]
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Metadata
- Authors
- Qian, G. Q., Yang, N. B., Ding, F., Ma, A. H. Y., Wang, Z. Y., Shen, Y. F., Shi, C. W., Lian, X., Chu, J. G., Chen, L., Wang, Z. Y., Ren, D. W., Li, G. X., Chen, X. Q., Shen, H. J., & Chen, X. M.
- Affiliations
- Ningbo First Hospital (CN)
- Shaoxing University (CN)
- University of Nottingham Ningbo China (CN)
- Department of Infectious Disease, Xiaoshan District People’s Hospital, Xiaoshan District, Hangzhou City, Zhejiang Province 311200
- Xiangshan County First People's Hospital (CN)
- Department of General Internal Medicine, Ningbo City First Hospital, Haishu District, Ningbo, Zhejiang Province 315000
- Corresponding author
- Chen, L
- Chen, X -Q
- Chen, X -M
- ORCID
- Ma, A H Y
- Venue
- QJM: An International Journal of Medicine
- Publisher
- Oxford University Press (OUP)
- Published
- 2020-03-17
- Volume
- 113
- Issue
- 7
- Pages
- 474-481
- ISSN
- 0033-5622 (ISSN-L)
- 1460-2725
- 1460-2393
- PMC
- PMC7184349
- OpenAlex
- W3011527465
- Cited by
- 382
- References
- 20
- Citations by year
- 2026: 2 · 2025: 4 · 2024: 9 · 2023: 18 · 2022: 50 · 2021: 117 · 2020: 181
- FWCI
- 11.99
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- QJM (publishedVersion, cc-by-nc)
- medRxiv (acceptedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- Funders
- Natural Science Foundation of Zhejiang Province (Q17H010001)
- Natural Science Foundation of Ningbo (2017A610246)
- Shaoxing Municipal Science and Technology Plan Project
- Topics
- Health Sciences › Medicine › Infectious Diseases › COVID-19 Clinical Research Studies
- Health Sciences › Medicine › Infectious Diseases › SARS-CoV-2 and COVID-19 Research
- Physical Sciences › Mathematics › Modeling and Simulation › COVID-19 epidemiological studies
- Keywords
- COVID-19 pandemic, SARS-CoV-2, hospitalized patients, epidemiological characteristics, clinical features, transmission routes, incubation period, bilateral pneumonia, Zhejiang, Ningbo
- MeSH terms
- Betacoronavirus, COVID-19, SARS-CoV-2, COVID-19 Testing, Adult, China, Cough, Female, Fever, Hospitalization, Humans, Male, Middle Aged, Pneumonia, Viral, Retrospective Studies, Radiography, Thoracic, Coronavirus Infections, Clinical Laboratory Techniques, Pandemics
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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