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Epidemiologic Features of 135 Patients With Coronavirus Disease (COVID-19) in Tianjin, China
OBJECTIVE: This study describes the epidemiologic features of an outbreak of the coronavirus disease (COVID-19) in Tianjin caused by a novel coronavirus and provides the scientific basis for prevention and control measures. METHODS: Data from COVID-19 cases were collected from daily notifications gi...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cambridge University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7156568/ https://www.ncbi.nlm.nih.gov/pubmed/32234107 http://dx.doi.org/10.1017/dmp.2020.63 |
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author | Cao, Chunxia Li, Yue Liu, Shuyu Fan, Haojun Hao, Liangchen |
author_facet | Cao, Chunxia Li, Yue Liu, Shuyu Fan, Haojun Hao, Liangchen |
author_sort | Cao, Chunxia |
collection | PubMed |
description | OBJECTIVE: This study describes the epidemiologic features of an outbreak of the coronavirus disease (COVID-19) in Tianjin caused by a novel coronavirus and provides the scientific basis for prevention and control measures. METHODS: Data from COVID-19 cases were collected from daily notifications given to the National Health Commission of the People’s Republic of China and Tianjin Health Committee. All of the data were analyzed with SPSS, version 24.0 software (IBM Corp, Armonk, NY). RESULTS: As of February 24, 2020, there have been 135 confirmed cases, 3 deaths, and 87 recoveries in Tianjin, China. The incidence of COVID-19 was 8.65/1 000 000 with a 2.22% case fatality rate. Regarding geographic distribution, the incidence was 8.82 per 1 000 000 in urban areas and 8.00 per 1 000 000 in suburbs. During the early stage of the epidemic, most cases came from urban areas and in patients with a history of sojourning in Hubei Province. The majority of patients were 31–70 years old (75.97%). A familial clustering was the most important characteristic of COVID-19 (accounting for 74.81%). CONCLUSIONS: Current information suggests that people are generally susceptible to COVID-19, which has shown a familial clustering in Tianjin. |
format | Online Article Text |
id | pubmed-7156568 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Cambridge University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-71565682020-04-15 Epidemiologic Features of 135 Patients With Coronavirus Disease (COVID-19) in Tianjin, China Cao, Chunxia Li, Yue Liu, Shuyu Fan, Haojun Hao, Liangchen Disaster Med Public Health Prep Brief Report OBJECTIVE: This study describes the epidemiologic features of an outbreak of the coronavirus disease (COVID-19) in Tianjin caused by a novel coronavirus and provides the scientific basis for prevention and control measures. METHODS: Data from COVID-19 cases were collected from daily notifications given to the National Health Commission of the People’s Republic of China and Tianjin Health Committee. All of the data were analyzed with SPSS, version 24.0 software (IBM Corp, Armonk, NY). RESULTS: As of February 24, 2020, there have been 135 confirmed cases, 3 deaths, and 87 recoveries in Tianjin, China. The incidence of COVID-19 was 8.65/1 000 000 with a 2.22% case fatality rate. Regarding geographic distribution, the incidence was 8.82 per 1 000 000 in urban areas and 8.00 per 1 000 000 in suburbs. During the early stage of the epidemic, most cases came from urban areas and in patients with a history of sojourning in Hubei Province. The majority of patients were 31–70 years old (75.97%). A familial clustering was the most important characteristic of COVID-19 (accounting for 74.81%). CONCLUSIONS: Current information suggests that people are generally susceptible to COVID-19, which has shown a familial clustering in Tianjin. Cambridge University Press 2020-04-01 /pmc/articles/PMC7156568/ /pubmed/32234107 http://dx.doi.org/10.1017/dmp.2020.63 Text en © Society for Disaster Medicine and Public Health, Inc. 2020 http://creativecommons.org/licenses/by/4.0/ This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Brief Report Cao, Chunxia Li, Yue Liu, Shuyu Fan, Haojun Hao, Liangchen Epidemiologic Features of 135 Patients With Coronavirus Disease (COVID-19) in Tianjin, China |
title | Epidemiologic Features of 135 Patients With Coronavirus Disease (COVID-19) in Tianjin, China |
title_full | Epidemiologic Features of 135 Patients With Coronavirus Disease (COVID-19) in Tianjin, China |
title_fullStr | Epidemiologic Features of 135 Patients With Coronavirus Disease (COVID-19) in Tianjin, China |
title_full_unstemmed | Epidemiologic Features of 135 Patients With Coronavirus Disease (COVID-19) in Tianjin, China |
title_short | Epidemiologic Features of 135 Patients With Coronavirus Disease (COVID-19) in Tianjin, China |
title_sort | epidemiologic features of 135 patients with coronavirus disease (covid-19) in tianjin, china |
topic | Brief Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7156568/ https://www.ncbi.nlm.nih.gov/pubmed/32234107 http://dx.doi.org/10.1017/dmp.2020.63 |
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