Literature DB >> 32292205

[Distributions of time, place, and population of novel coronavirus disease 2019 (COVID-19) from January 20 to February 10, 2020, in China].

L Jin1, Y Zhao2, J Zhou2, M Tao2, Y Yang3, X Wang3, P Ye4, S Shan5, H Yuan6.   

Abstract

BACKGROUND AND
OBJECTIVE: Since December 2019, increasing cases of novel coronavirus disease 2019 (COVID-19) are being detected worldwide. The purpose of this paper is to provide a scientific reference for the global prevention and control of COVID-19.
METHODS: General demographic characteristics, epidemiological history, and clinical symptoms of COVID-19 were collected that had been reported on the websites of multiple Municipal Health Commissions in China. We herein describe distributions in time, place, and population of COVID-19.
RESULTS: As of midnight on February 10, 2020, the number of confirmed cases of COVID-19 in China was 42,638, and the province with the largest number of confirmed cases was Hubei (31728), followed by Guangdong (1177), Zhejiang (1117), and Henan (1105) province. The number of cases and the speed of confirmed cases in provinces other than Hubei were more moderate than those of the Hubei province. The median (interquartile range) age of patients with COVID-19 was 44 (33, 54) years, with a range of 10 months to 89 years.
CONCLUSIONS: The COVID-19 epidemic should be considered a global threat and the steps for control include early diagnosis and treatment, as well as isolation.
© 2020 Elsevier España, S.L.U. and Sociedad Española de Medicina Interna (SEMI). All rights reserved.

Entities:  

Keywords:  Infectious diseases; Novel coronavirus; Outbreak; Pneumonia

Year:  2020        PMID: 32292205      PMCID: PMC7280112          DOI: 10.1016/j.rce.2020.04.001

Source DB:  PubMed          Journal:  Rev Clin Esp (Barc)        ISSN: 2254-8874


Introduction

Since December 2019, increasing cases of a novel coronavirus disease (COVID-19) are being detected in Wuhan, Hubei Province, China. The COVID-19 recently discovered is caused by a new coronavirus that has not previously been found in humans (SARS-CoV-2). With the spread of the epidemic, such cases have been found in other parts of China and throughout the world. The number of confirmed cases and deaths in recent days is still increasing. As of midnight on March 11, 2020, the National Health Commission (NHC) had received reports of 80,793 confirmed cases and 3169 deaths on the Chinese mainland. This study provides a data analysis of the confirmed cases of COVID-19 in China as of midnight on February 10, 2020, to describe the disease distribution and development dynamics of COVID-19. The epidemiological characteristics and clinical symptoms of 1740 confirmed cases are also described in this paper to provide scientific evidence for the prevention and control of pneumonia in China and other countries around the world.

Methods

Data sources

We collected the number of confirmed cases, deaths, and cured cases of COVID-19 from January 20, 2020 to February 10, 2020, using the official website of the NHC of the People's Republic of China. General demographic characteristics, epidemiological history, and clinical symptoms of 1740 patients with COVID-19 were collected that had been reported on the websites of multiple Municipal Health Commissions in all Chinese provinces and cities, including Jiangsu, Fujian, Gansu, Guangdong, Guizhou, Hainan, Hebei, Henan, Beijing, and Zhejiang by January 31, 2020.

Statistical analysis

Medians and interquartile ranges (IQR) were computed for describing data not conforming to normal distributions. The statistical map was used to describe the distribution of variables in geographical space. Line charts were used to describe the trend of data over time. Semi-logarithmic line charts were used to describe the speed of increase in the number of confirmed cases. Pie charts and doughnut charts were used to describe proportions. Histogram was used to describe the distribution of qualitative variables. The bar chart was used to describe the frequency distribution of qualitative variables. SPSS software 18.0 version was used for the analysis of data. Arc Gis software version 10.5 and Excel software were used to draw statistical graphics.

Results

Regional distribution of confirmed cases of COVID-19

A total of 42,638 cases of COVID-19 were confirmed, including 31,728 cases in Hubei province and 10,910 cases in other Chinese provinces or cities at midnight on January 31, 2020. Fig. 1 shows the distribution of confirmed cases of COVID-19 in 34 provinces/cities (including Hong Kong, Macao, and Taiwan) at that moment. The largest number of confirmed cases occurred in Hubei, followed by Guangdong, Zhejiang, and Henan provinces.
Figure 1

The distribution in place of confirmed cases of COVID-19 in 34 provinces/cities in China on February 10, 2020.

The distribution in place of confirmed cases of COVID-19 in 34 provinces/cities in China on February 10, 2020.

Time distribution of confirmed cases of COVID-19

Fig. 2(a)–(c) shows the growth trends of COVID-19 cases in China, Hubei, and non-Hubei provinces from January 20, 2020, to February 10, 2020, respectively. Fig. 2(d)–(f) shows the growth speeds of COVID-19 cases in China, Hubei, and non-Hubei provinces during the same period, respectively. The growth quantity and speed of confirmed cases in non-Hubei provinces are more moderate than those in the Hubei province.
Figure 2

The growth trend of confirmed cases of COVID-19 in China (a), Hubei province (b), and non-Hubei province (c) from January 20, 2020, to February 10, 2020. And the growth speed of confirmed cases of COVID-19 in China (d), Hubei province (e), and non-Hubei province (f) from January 20, 2020, to February 10, 2020.

The growth trend of confirmed cases of COVID-19 in China (a), Hubei province (b), and non-Hubei province (c) from January 20, 2020, to February 10, 2020. And the growth speed of confirmed cases of COVID-19 in China (d), Hubei province (e), and non-Hubei province (f) from January 20, 2020, to February 10, 2020.

Population distribution of confirmed cases of COVID-19

Sex

There were 966 (55.52%) men and 774 (44.48%) women in the 1740 confirmed cases of COVID-19 (Fig. 3 ).
Figure 3

The percentage and distribution by sex.

The percentage and distribution by sex.

Age

The median (IQR) age of the 1740 patients with COVID-19 was 44 (33, 54) years, with a range of 10 months to 89 years. Fig. 4 shows the age distribution of cases by sex.
Figure 4

The age distribution in 1740 confirmed cases of COVID-19 in different genders in China on January 31, 2020.

The age distribution in 1740 confirmed cases of COVID-19 in different genders in China on January 31, 2020.

Clinical symptoms

Fig. 5 shows the frequency distribution of clinical symptoms in 1247 of 1740 patients, from highest to lowest: fever (47.39%), cough (25.26%), fatigue (8.02%), sore throat (6.34%), muscle soreness (4.89%), chills (3.61%), chest tightness (1.52%), diarrhea/abdominal pain (1.36%), runny nose (1.20%), and poor appetite (0.40%). Symptoms in 493 of 1740 cases were unknown because the information was not available on the website.
Figure 5

The frequency distribution of clinical symptoms in 1247 confirmed cases of COVID-19 in China on January 31, 2020.

The frequency distribution of clinical symptoms in 1247 confirmed cases of COVID-19 in China on January 31, 2020.

Epidemiological history

Fig. 6 shows the distribution of the epidemiological history of COVID-19.
Figure 6

The epidemiological history distribution of 1740 confirmed cases of COVID-19 in China on January 31, 2020.

The epidemiological history distribution of 1740 confirmed cases of COVID-19 in China on January 31, 2020. There were 996 (57.24%) patients with a Wuhan contact history, 248 (14.25%) patients with a confirmed case contact history, 20 (1.15%) patients with Wuhan and confirmed case contact history, and 476 (27.36%) patients whose epidemiological history was not found on the official website of the Municipal Health Commission.

Discussion

The outbreak of COVID-19 in Wuhan, China, has aroused attention around the world. We collected and analyzed the data from the official websites of Municipal Health Commissions to provide information about the epidemic characteristics in China. The results of this study indicated that Hubei province suffered the most severe COVID-19 epidemic, followed by Guangdong, Zhejiang, and Henan provinces. The explanation for these findings could lie in a greater frequency of travel to these provinces among the population of Wuhan. Therefore, the current epidemic in Hubei province needs more medical attention, and the epidemic in Zhejiang province and Guangdong province should not be underestimated. Our data show that the age of the patients was mainly concentrated between 33 and 54 years, with the youngest patient aged 10 months. Deaths in the confirmed cases were mainly in the elderly population, whose disease could have a more accelerated course. The frequency of clinical symptoms from highest to lowest was fever, cough, fatigue, sore throat, muscle soreness, chills, chest tightness, diarrhea/abdominal pain, runny nose, and poor appetite; these could provide a reference for the clinical diagnosis of COVID-19. Human-to-human transmission has already taken place. Urgent next steps to control the extension of the outbreak include early detection and treatment of cases, and quarantine of the population to reduce the transmission of the infection within the community. Authorities in China have adopted rapid public health measures, including rapid identification and containment of COVID-19 in a short period of time, enhanced surveillance, epidemiological investigations, and sequencing of the COVID-19 genome, all of which have been recognized and praised by the WHO. China has severely restricted traffic in Hubei Province, prohibited outbound transportation (airplanes, trains, and long-distance buses), and vehicle traffic in Wuhan has been banned. Large quantities of medical supplies have arrived in Wuhan city, which is worth emulating in other countries in order to ameliorate the effects of the epidemic. All of us, including health care workers, must take precautions and use qualified N95 masks and other personal protective equipment when necessary. This article has some limitations. There was a proportion of cases with no information about the infection's origin of transmission (27% missing data) or information about the symptoms (28% missing data). However, this paper provided information about the distribution in time, place, and population of COVID-19 that could be useful for preparing for and controlling COVID-19 worldwide.

Conflicts of interest

The authors declare no conflicts of interest.
  11 in total

1.  The Novel Coronavirus Originating in Wuhan, China: Challenges for Global Health Governance.

Authors:  Alexandra L Phelan; Rebecca Katz; Lawrence O Gostin
Journal:  JAMA       Date:  2020-02-25       Impact factor: 56.272

2.  Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China.

Authors:  Chaolin Huang; Yeming Wang; Xingwang Li; Lili Ren; Jianping Zhao; Yi Hu; Li Zhang; Guohui Fan; Jiuyang Xu; Xiaoying Gu; Zhenshun Cheng; Ting Yu; Jiaan Xia; Yuan Wei; Wenjuan Wu; Xuelei Xie; Wen Yin; Hui Li; Min Liu; Yan Xiao; Hong Gao; Li Guo; Jungang Xie; Guangfa Wang; Rongmeng Jiang; Zhancheng Gao; Qi Jin; Jianwei Wang; Bin Cao
Journal:  Lancet       Date:  2020-01-24       Impact factor: 79.321

3.  Updated understanding of the outbreak of 2019 novel coronavirus (2019-nCoV) in Wuhan, China.

Authors:  Weier Wang; Jianming Tang; Fangqiang Wei
Journal:  J Med Virol       Date:  2020-02-12       Impact factor: 2.327

4.  Early Transmission Dynamics in Wuhan, China, of Novel Coronavirus-Infected Pneumonia.

Authors:  Qun Li; Xuhua Guan; Peng Wu; Xiaoye Wang; Lei Zhou; Yeqing Tong; Ruiqi Ren; Kathy S M Leung; Eric H Y Lau; Jessica Y Wong; Xuesen Xing; Nijuan Xiang; Yang Wu; Chao Li; Qi Chen; Dan Li; Tian Liu; Jing Zhao; Man Liu; Wenxiao Tu; Chuding Chen; Lianmei Jin; Rui Yang; Qi Wang; Suhua Zhou; Rui Wang; Hui Liu; Yinbo Luo; Yuan Liu; Ge Shao; Huan Li; Zhongfa Tao; Yang Yang; Zhiqiang Deng; Boxi Liu; Zhitao Ma; Yanping Zhang; Guoqing Shi; Tommy T Y Lam; Joseph T Wu; George F Gao; Benjamin J Cowling; Bo Yang; Gabriel M Leung; Zijian Feng
Journal:  N Engl J Med       Date:  2020-01-29       Impact factor: 176.079

5.  A familial cluster of pneumonia associated with the 2019 novel coronavirus indicating person-to-person transmission: a study of a family cluster.

Authors:  Jasper Fuk-Woo Chan; Shuofeng Yuan; Kin-Hang Kok; Kelvin Kai-Wang To; Hin Chu; Jin Yang; Fanfan Xing; Jieling Liu; Cyril Chik-Yan Yip; Rosana Wing-Shan Poon; Hoi-Wah Tsoi; Simon Kam-Fai Lo; Kwok-Hung Chan; Vincent Kwok-Man Poon; Wan-Mui Chan; Jonathan Daniel Ip; Jian-Piao Cai; Vincent Chi-Chung Cheng; Honglin Chen; Christopher Kim-Ming Hui; Kwok-Yung Yuen
Journal:  Lancet       Date:  2020-01-24       Impact factor: 79.321

6.  Potential for global spread of a novel coronavirus from China.

Authors:  Isaac I Bogoch; Alexander Watts; Andrea Thomas-Bachli; Carmen Huber; Moritz U G Kraemer; Kamran Khan
Journal:  J Travel Med       Date:  2020-03-13       Impact factor: 8.490

7.  A Novel Coronavirus from Patients with Pneumonia in China, 2019.

Authors:  Na Zhu; Dingyu Zhang; Wenling Wang; Xingwang Li; Bo Yang; Jingdong Song; Xiang Zhao; Baoying Huang; Weifeng Shi; Roujian Lu; Peihua Niu; Faxian Zhan; Xuejun Ma; Dayan Wang; Wenbo Xu; Guizhen Wu; George F Gao; Wenjie Tan
Journal:  N Engl J Med       Date:  2020-01-24       Impact factor: 91.245

8.  Preliminary estimation of the basic reproduction number of novel coronavirus (2019-nCoV) in China, from 2019 to 2020: A data-driven analysis in the early phase of the outbreak.

Authors:  Shi Zhao; Qianyin Lin; Jinjun Ran; Salihu S Musa; Guangpu Yang; Weiming Wang; Yijun Lou; Daozhou Gao; Lin Yang; Daihai He; Maggie H Wang
Journal:  Int J Infect Dis       Date:  2020-01-30       Impact factor: 3.623

9.  The continuing 2019-nCoV epidemic threat of novel coronaviruses to global health - The latest 2019 novel coronavirus outbreak in Wuhan, China.

Authors:  David S Hui; Esam I Azhar; Tariq A Madani; Francine Ntoumi; Richard Kock; Osman Dar; Giuseppe Ippolito; Timothy D Mchugh; Ziad A Memish; Christian Drosten; Alimuddin Zumla; Eskild Petersen
Journal:  Int J Infect Dis       Date:  2020-01-14       Impact factor: 3.623

10.  The Battle Against Coronavirus Disease 2019 (COVID-19): Emergency Management and Infection Control in a Radiology Department.

Authors:  Zixing Huang; Shuang Zhao; Zhenlin Li; Weixia Chen; Lihong Zhao; Lipeng Deng; Bin Song
Journal:  J Am Coll Radiol       Date:  2020-03-24       Impact factor: 5.532

View more
  1 in total

Review 1.  Ten GIS-Based Solutions for Managing and Controlling COVID-19 Pandemic Outbreak.

Authors:  Najmeh Neysani Samany; Hua Liu; Reza Aghataher; Mohammad Bayat
Journal:  SN Comput Sci       Date:  2022-05-05
  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.