Your browser doesn't support javascript.
[Epidemiological characteristics of 2019-nCoV Delta variant in Gansu province].
Wei, K F; Li, H; Zhang, X S; Li, P; Liu, X F; Liu, H X; Zhang, H; Cheng, Y; Meng, L.
  • Wei KF; Gansu Provincial Center for Disease Control and Prevention, Lanzhou 730000, China.
  • Li H; Gansu Provincial Center for Disease Control and Prevention, Lanzhou 730000, China.
  • Zhang XS; Gansu Provincial Center for Disease Control and Prevention, Lanzhou 730000, China.
  • Li P; Gansu Provincial Center for Disease Control and Prevention, Lanzhou 730000, China.
  • Liu XF; Gansu Provincial Center for Disease Control and Prevention, Lanzhou 730000, China.
  • Liu HX; Gansu Provincial Center for Disease Control and Prevention, Lanzhou 730000, China.
  • Zhang H; Gansu Provincial Center for Disease Control and Prevention, Lanzhou 730000, China.
  • Cheng Y; Gansu Provincial Center for Disease Control and Prevention, Lanzhou 730000, China.
  • Meng L; Gansu Provincial Center for Disease Control and Prevention, Lanzhou 730000, China.
Zhonghua Liu Xing Bing Xue Za Zhi ; 43(6): 835-840, 2022 Jun 10.
Article in Chinese | MEDLINE | ID: covidwho-1903513
ABSTRACT

Objective:

To analyze the epidemiological characteristics of COVID-19 caused by 2019-nCoV Delta variant (B.1.617.2) in Gansu province, and provide evidence for the prevention and control of COVID-19.

Methods:

The information of COVID-19 cases, including demographic characteristics, epidemiological history, onset date, diagnosis date, exposure place, detection way and infection source, in Gansu from 17 October to 25 November, 2021 were collected. Software Excel 2016,SPSS 22 and ArcGIS 10.7 were used for data process and analysis.

Results:

As of November 25, 2021, a total of 146 COVID-19 cases had been reported in Gansu and the epidemic affected 10 counties (districts) in 5 cities. The epidemic of COVID-19 in Gansu had three stages imported case stage,imported-local case stage and local case stage. The age of cases ranged from 1 to 87 years,and the cases in age group 18-59 years accounted for 59.59% (87/146). The male to female ratio of the cases was 1∶1.12 (69∶77). The cases were mainly people engaged in business services (17.12%, 25/146),retirees (15.75%, 23/146),students (13.70%, 20/146),the jobless and unemployed (12.33%, 18/146). In 3 epidemic stages, the cases aged 18-59 years accounted for 44.44%,54.41% and 70.00% respectively,showing an upward trend,and there were differences among different populations (trend χ2=23.24, P<0.001). Also, the incubation period of the cases tended to decrease, and severe cases accounted for 33.33% (6/18), 19.12% (13/68) and 3.33% (2/60) respectively, showing a downward trend. Community screening (25.34%, 37/146) and close contact screening were the main ways to detect cases,the cases detected by close contact screening in 3 epidemic stages accounted for 50.00% (9/18), 66.18% (45/68) and 86.67% (52/60) respectively. The epidemic had obvious case clustering in confined places,and the main exposure modes were living together (24.66%), working/studying together (11.64%), taking same transportation (9.59%) and dining together (9.59%).

Conclusions:

The COVID-19 epidemic in Gansu was caused by 2019-nCoV Delta variant from imported cases. The virus was mainly transmitted through travel, sharing transportation, dining together and home contact. The characteristics of COVID-19 epidemic in Gansu changed with time, the case's clinical symptoms were not obvious and the incubation period became shorter. The infections mainly occurred in group aged 18 years and above.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Diagnostic study / Observational study / Prognostic study Topics: Variants Limits: Female / Humans / Male Country/Region as subject: Asia Language: Chinese Journal: Zhonghua Liu Xing Bing Xue Za Zhi Year: 2022 Document Type: Article Affiliation country: Cma.j.cn112338-20220221-00142

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Diagnostic study / Observational study / Prognostic study Topics: Variants Limits: Female / Humans / Male Country/Region as subject: Asia Language: Chinese Journal: Zhonghua Liu Xing Bing Xue Za Zhi Year: 2022 Document Type: Article Affiliation country: Cma.j.cn112338-20220221-00142