Cargando…
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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
---|---|
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 |
_version_ | 1783609276814589952 |
---|---|
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. |
format | Online Article Text |
id | pubmed-7661832 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT shilei quarantineathomemaynotenoughfromtheepidemiologicaldatainshaanxiprovinceofchina AT liqian quarantineathomemaynotenoughfromtheepidemiologicaldatainshaanxiprovinceofchina AT likang quarantineathomemaynotenoughfromtheepidemiologicaldatainshaanxiprovinceofchina AT zhengjie quarantineathomemaynotenoughfromtheepidemiologicaldatainshaanxiprovinceofchina AT heyingli quarantineathomemaynotenoughfromtheepidemiologicaldatainshaanxiprovinceofchina AT zhangxi quarantineathomemaynotenoughfromtheepidemiologicaldatainshaanxiprovinceofchina AT gongxianfeng quarantineathomemaynotenoughfromtheepidemiologicaldatainshaanxiprovinceofchina AT wangwei quarantineathomemaynotenoughfromtheepidemiologicaldatainshaanxiprovinceofchina AT zhangqing quarantineathomemaynotenoughfromtheepidemiologicaldatainshaanxiprovinceofchina AT daichao quarantineathomemaynotenoughfromtheepidemiologicaldatainshaanxiprovinceofchina AT zhaowenxuan quarantineathomemaynotenoughfromtheepidemiologicaldatainshaanxiprovinceofchina AT mengxuefei quarantineathomemaynotenoughfromtheepidemiologicaldatainshaanxiprovinceofchina AT dufeng quarantineathomemaynotenoughfromtheepidemiologicaldatainshaanxiprovinceofchina AT fanpei quarantineathomemaynotenoughfromtheepidemiologicaldatainshaanxiprovinceofchina AT lichunyan quarantineathomemaynotenoughfromtheepidemiologicaldatainshaanxiprovinceofchina AT gaochunyan quarantineathomemaynotenoughfromtheepidemiologicaldatainshaanxiprovinceofchina AT yangyuan quarantineathomemaynotenoughfromtheepidemiologicaldatainshaanxiprovinceofchina AT liuxiaojing quarantineathomemaynotenoughfromtheepidemiologicaldatainshaanxiprovinceofchina AT chenyunru quarantineathomemaynotenoughfromtheepidemiologicaldatainshaanxiprovinceofchina AT liujinfeng quarantineathomemaynotenoughfromtheepidemiologicaldatainshaanxiprovinceofchina AT lijianzhou quarantineathomemaynotenoughfromtheepidemiologicaldatainshaanxiprovinceofchina AT yangnan quarantineathomemaynotenoughfromtheepidemiologicaldatainshaanxiprovinceofchina AT niuyinghua quarantineathomemaynotenoughfromtheepidemiologicaldatainshaanxiprovinceofchina AT chenhongmei quarantineathomemaynotenoughfromtheepidemiologicaldatainshaanxiprovinceofchina AT zhangguoyu quarantineathomemaynotenoughfromtheepidemiologicaldatainshaanxiprovinceofchina AT yantaotao quarantineathomemaynotenoughfromtheepidemiologicaldatainshaanxiprovinceofchina AT zhuli quarantineathomemaynotenoughfromtheepidemiologicaldatainshaanxiprovinceofchina AT hanqunying quarantineathomemaynotenoughfromtheepidemiologicaldatainshaanxiprovinceofchina AT fanwanhu quarantineathomemaynotenoughfromtheepidemiologicaldatainshaanxiprovinceofchina AT yefeng quarantineathomemaynotenoughfromtheepidemiologicaldatainshaanxiprovinceofchina AT liuzhengwen quarantineathomemaynotenoughfromtheepidemiologicaldatainshaanxiprovinceofchina AT linshumei quarantineathomemaynotenoughfromtheepidemiologicaldatainshaanxiprovinceofchina AT zhaoyingren quarantineathomemaynotenoughfromtheepidemiologicaldatainshaanxiprovinceofchina AT chentianyan quarantineathomemaynotenoughfromtheepidemiologicaldatainshaanxiprovinceofchina |