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Quarantine at home may not enough!-from the epidemiological data in Shaanxi Province of China

OBJECTIVES: A pneumonia associated with 2019 novel coronavirus (2019-nCoV, subsequently named SARS-CoV2) emerged worldwide since December, 2019. We aimed to describe the epidemiological characteristics of 2019 coronavirus disease (COVID-19) in Shaanxi province of China. RESULTS: 1. Among the 245 pat...

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Autores principales: Shi, Lei, Li, Qian, Li, Kang, Zheng, Jie, He, Yingli, Zhang, Xi, Gong, Xianfeng, Wang, Wei, Zhang, Qing, Dai, Chao, Zhao, Wenxuan, Meng, Xuefei, Du, Feng, Fan, Pei, Li, Chunyan, Gao, Chunyan, Yang, Yuan, Liu, Xiaojing, Chen, Yunru, Liu, Jinfeng, Li, Jianzhou, Yang, Nan, Niu, Yinghua, Chen, Hongmei, Zhang, Guoyu, Yan, Taotao, Zhu, Li, Han, Qunying, Fan, Wanhu, Ye, Feng, Liu, Zhengwen, Lin, Shumei, Zhao, Yingren, Chen, Tianyan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7661832/
https://www.ncbi.nlm.nih.gov/pubmed/33187555
http://dx.doi.org/10.1186/s13104-020-05342-5
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author Shi, Lei
Li, Qian
Li, Kang
Zheng, Jie
He, Yingli
Zhang, Xi
Gong, Xianfeng
Wang, Wei
Zhang, Qing
Dai, Chao
Zhao, Wenxuan
Meng, Xuefei
Du, Feng
Fan, Pei
Li, Chunyan
Gao, Chunyan
Yang, Yuan
Liu, Xiaojing
Chen, Yunru
Liu, Jinfeng
Li, Jianzhou
Yang, Nan
Niu, Yinghua
Chen, Hongmei
Zhang, Guoyu
Yan, Taotao
Zhu, Li
Han, Qunying
Fan, Wanhu
Ye, Feng
Liu, Zhengwen
Lin, Shumei
Zhao, Yingren
Chen, Tianyan
author_facet Shi, Lei
Li, Qian
Li, Kang
Zheng, Jie
He, Yingli
Zhang, Xi
Gong, Xianfeng
Wang, Wei
Zhang, Qing
Dai, Chao
Zhao, Wenxuan
Meng, Xuefei
Du, Feng
Fan, Pei
Li, Chunyan
Gao, Chunyan
Yang, Yuan
Liu, Xiaojing
Chen, Yunru
Liu, Jinfeng
Li, Jianzhou
Yang, Nan
Niu, Yinghua
Chen, Hongmei
Zhang, Guoyu
Yan, Taotao
Zhu, Li
Han, Qunying
Fan, Wanhu
Ye, Feng
Liu, Zhengwen
Lin, Shumei
Zhao, Yingren
Chen, Tianyan
author_sort Shi, Lei
collection PubMed
description OBJECTIVES: A pneumonia associated with 2019 novel coronavirus (2019-nCoV, subsequently named SARS-CoV2) emerged worldwide since December, 2019. We aimed to describe the epidemiological characteristics of 2019 coronavirus disease (COVID-19) in Shaanxi province of China. RESULTS: 1. Among the 245 patients, 132 (53.9%) were males and 113 (46.1%) were females. The average age was 46.15 ± 16.43 years, ranging from 3 to 89 years. 2. For the clinical type, 1.63% (4/245) patients were mild type, 84.90% (208/245) were moderate type, 7.76% (19/245) were severe type, 5.31% (13/245) were critical type and only 0.41% (1/245) was asymptomatic. 3. Of the 245 patients, 116 (47.35%) were input case, 114 (46.53%) were non-input case, and 15 (6.12%) were unknown exposure. 4. 48.57% (119/245) cases were family cluster, involving 42 families. The most common pattern of COVID-19 family cluster was between husband and wife or between parents and children.
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spelling pubmed-76618322020-11-13 Quarantine at home may not enough!-from the epidemiological data in Shaanxi Province of China Shi, Lei Li, Qian Li, Kang Zheng, Jie He, Yingli Zhang, Xi Gong, Xianfeng Wang, Wei Zhang, Qing Dai, Chao Zhao, Wenxuan Meng, Xuefei Du, Feng Fan, Pei Li, Chunyan Gao, Chunyan Yang, Yuan Liu, Xiaojing Chen, Yunru Liu, Jinfeng Li, Jianzhou Yang, Nan Niu, Yinghua Chen, Hongmei Zhang, Guoyu Yan, Taotao Zhu, Li Han, Qunying Fan, Wanhu Ye, Feng Liu, Zhengwen Lin, Shumei Zhao, Yingren Chen, Tianyan BMC Res Notes Research Note OBJECTIVES: A pneumonia associated with 2019 novel coronavirus (2019-nCoV, subsequently named SARS-CoV2) emerged worldwide since December, 2019. We aimed to describe the epidemiological characteristics of 2019 coronavirus disease (COVID-19) in Shaanxi province of China. RESULTS: 1. Among the 245 patients, 132 (53.9%) were males and 113 (46.1%) were females. The average age was 46.15 ± 16.43 years, ranging from 3 to 89 years. 2. For the clinical type, 1.63% (4/245) patients were mild type, 84.90% (208/245) were moderate type, 7.76% (19/245) were severe type, 5.31% (13/245) were critical type and only 0.41% (1/245) was asymptomatic. 3. Of the 245 patients, 116 (47.35%) were input case, 114 (46.53%) were non-input case, and 15 (6.12%) were unknown exposure. 4. 48.57% (119/245) cases were family cluster, involving 42 families. The most common pattern of COVID-19 family cluster was between husband and wife or between parents and children. BioMed Central 2020-11-04 /pmc/articles/PMC7661832/ /pubmed/33187555 http://dx.doi.org/10.1186/s13104-020-05342-5 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Note
Shi, Lei
Li, Qian
Li, Kang
Zheng, Jie
He, Yingli
Zhang, Xi
Gong, Xianfeng
Wang, Wei
Zhang, Qing
Dai, Chao
Zhao, Wenxuan
Meng, Xuefei
Du, Feng
Fan, Pei
Li, Chunyan
Gao, Chunyan
Yang, Yuan
Liu, Xiaojing
Chen, Yunru
Liu, Jinfeng
Li, Jianzhou
Yang, Nan
Niu, Yinghua
Chen, Hongmei
Zhang, Guoyu
Yan, Taotao
Zhu, Li
Han, Qunying
Fan, Wanhu
Ye, Feng
Liu, Zhengwen
Lin, Shumei
Zhao, Yingren
Chen, Tianyan
Quarantine at home may not enough!-from the epidemiological data in Shaanxi Province of China
title Quarantine at home may not enough!-from the epidemiological data in Shaanxi Province of China
title_full Quarantine at home may not enough!-from the epidemiological data in Shaanxi Province of China
title_fullStr Quarantine at home may not enough!-from the epidemiological data in Shaanxi Province of China
title_full_unstemmed Quarantine at home may not enough!-from the epidemiological data in Shaanxi Province of China
title_short Quarantine at home may not enough!-from the epidemiological data in Shaanxi Province of China
title_sort quarantine at home may not enough!-from the epidemiological data in shaanxi province of china
topic Research Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7661832/
https://www.ncbi.nlm.nih.gov/pubmed/33187555
http://dx.doi.org/10.1186/s13104-020-05342-5
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