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Epidemiologic Features of 135 Patients With Coronavirus Disease (COVID-19) in Tianjin, China

Published online by Cambridge University Press:  01 April 2020

Chunxia Cao*
Affiliation:
Institute of Disaster Medicine, Tianjin University, Tianjin, China
Yue Li
Affiliation:
Institute of Disaster Medicine, Tianjin University, Tianjin, China
Shuyu Liu
Affiliation:
Institute of Disaster Medicine, Tianjin University, Tianjin, China
Haojun Fan
Affiliation:
Institute of Disaster Medicine, Tianjin University, Tianjin, China
Liangchen Hao
Affiliation:
Emergency Management Office, Tianjin Health Commission, Tianjin, China
*
Correspondence and reprint requests to Chunxia Cao, Institute of Disaster Medicine, Tianjin University, No. 92 Weijin Road, Nankai District, Tianjin, People’s Republic of China 300072 (e-mail: caochunxia@tju.edu.cn).
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Abstract

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.

Information

Type
Brief Report
Creative Commons
Creative Common License - CCCreative Common License - BY
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.
Copyright
Copyright © 2020 Society for Disaster Medicine and Public Health, Inc.
Figure 0

TABLE 1 Distribution of COVID-19 Cases in Tianjin

Figure 1

FIGURE 1 Familial Clustering of COVID-19 Patients. (The Numbers in Circles or Boxes Indicate the Codes of Confirmed Cases.)