South China Journal of Preventive Medicine ›› 2021, Vol. 47 ›› Issue (5): 592-595.doi: 10.12183/j.scjpm.2021.0592

• Prevention and Control of COVID-19 • Previous Articles     Next Articles

Epidemiological characteristics of domestic epidemic of COVID-19 in Baiyun District, Guangzhou

GU Yu-zhou1, CHENG Xiao-ning2, LI Yong-guang1, LU Jian-yun1, CHEN Chang-ming2, WU Di1, SU Wen-zhe1   

  1. 1. Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, China;
    2. Guangzhou Baiyun Center for Disease Control and Prevention
  • Received:2020-07-18 Online:2021-05-20 Published:2021-06-16

Abstract: Objective To summarize the epidemiological characteristics of domestic epidemic of COVID-19 in Baiyun District, Guangzhou. Methods Information of COVID-19 cases reported in Baiyun District, Guangzhou by February 29, 2020 were extracted from Infectious Disease Information System of Chinese CDC and the case epidemiological investigation data. Demographic characteristics and epidemiological characteristics of the cases were analyzed and described. Results A total of 74 COVID-19 cases had been reported in Baiyun District during the epidemic period. The first COVID-19 case was reported on January 21 and the last was reported on February 12. Epidemic curve of the case report peaked on January 29. The cases were distributed in 14 streets/towns, with a median age of 50 (33, 64) years, mainly female (58.1%, 43/74) and domestic/unemployed/retired (63.5%, 47/74), and the proportion of severe/critical cases was 9.5% (7/74). The source of infection was mainly related to the history of exposure in Hubei (89.2%, 66/74), involving 18 clusters of outbreaks, resulting in 392 close contacts and 4.3% (17/392) of close contacts who subsequently tested positive for nucleic acid. Conclusion The domestic epidemic in Baiyun District continues for 23 days, the COVID-19 cases are mainly middle/elder aged and female, most infection are related to Hubei. We still need to prevent for the possible rebound of the epidemic caused by imported cases.

Key words: SARS-CoV-2, COVID-19, Epidemiological characteristic, Public health emergency, Respiratory infectious disease

CLC Number: 

  • R183.3