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[COVID-19 epidemic and its characteristics in Heilongjiang province].
Zhang, J F; Zhang, H Y; Zhang, S P; Tian, T; Du, X B; Zhu, Y L; Wu, D K; Gao, Y; Ma, J; Zhan, Y; Li, Y; Zhang, Q J; Tian, W J; Yu, X J; Zhao, Y S; Jiao, G Y; Sun, D J.
  • Zhang JF; Heilongjiang Provincial Center for Disease Control and Prevention, Harbin 150030, China.
  • Zhang HY; Public Health Emergency Response Office, Heilongjiang Provincial Center for Disease Control and Prevention, Harbin 150030, China.
  • Zhang SP; Institute of Aging Health, Heilongjiang Provincial Center for Disease Control and Prevention, Harbin 150030, China.
  • Tian T; Department of Epidemiology and Health Statistics, School of Public Health, Harbin Medical University, Harbin 150081, China.
  • Du XB; Institute of Disease Surveillance Information, Heilongjiang Provincial Center for Disease Control and Prevention, Harbin 150030, China.
  • Zhu YL; Institute of Infectious Disease Prevention and Control, Heilongjiang Provincial Center for Disease Control and Prevention, Harbin 150030, China.
  • Wu DK; Public Health Emergency Response Office, Heilongjiang Provincial Center for Disease Control and Prevention, Harbin 150030, China.
  • Gao Y; Public Health Emergency Response Office, Heilongjiang Provincial Center for Disease Control and Prevention, Harbin 150030, China.
  • Ma J; Institute of STD/AIDS Prevention and Control, Heilongjiang Provincial Center for Disease Control and Prevention, Harbin 150030, China.
  • Zhan Y; Institute of Disease Surveillance Information, Heilongjiang Provincial Center for Disease Control and Prevention, Harbin 150030, China.
  • Li Y; Department of Nutrition and Food Health, School of Public Health, Harbin Medical University, Harbin 150081, China.
  • Zhang QJ; Department of Epidemiology and Health Statistics, School of Public Health, Harbin Medical University, Harbin 150081, China.
  • Tian WJ; Department of Epidemiology and Health Statistics, School of Public Health, Harbin Medical University, Harbin 150081, China.
  • Yu XJ; Institute of Infectious Disease Prevention and Control, Heilongjiang Provincial Center for Disease Control and Prevention, Harbin 150030, China.
  • Zhao YS; Department of Epidemiology and Health Statistics, School of Public Health, Harbin Medical University, Harbin 150081, China.
  • Jiao GY; Heilongjiang Provincial Center for Disease Control and Prevention, Harbin 150030, China.
  • Sun DJ; Centre for Endemic Disease Control, Harbin Medical University, Harbin 150081, China.
Zhonghua Liu Xing Bing Xue Za Zhi ; 41(12): 2005-2009, 2020 Dec 10.
Article in Chinese | MEDLINE | ID: covidwho-1000361
ABSTRACT

Objective:

To describe the COVID-19 epidemic and its characteristics in Heilongjiang province, and provide evidence for the further prevention and control of COVID-19 in the province.

Methods:

The information of COVID-19 cases and clusters were collected from national notifiable disease report system and management information system for reporting public health emergencies of China CDC. The Software's of Excel 2010 and SPSS 23.0 were applied for data cleaning and statistical analysis on the population, time and area distributions of COVID-19 cases.

Results:

On January 22, 2020, the first confirmed case of COVID-19 was reported in Heilongjiang. By March 11, 2020, a total of 482 cases domestic case of COVID-19, The incidence rate was 1.28/100 000, the mortality rate was 2.70% (13/482) in 13 municipalities in Heilongjiang. There were 81 clusters of COVID-19, The number of confirmed cases accounted for 79.25% (382/482) of the total confirmed cases and 12 cases of deaths. The family clusters accounted for 86.42% (70/81). Compared with the sporadic cases, the mortality rate, proportion of elderly cases aged 60 or above and severe or critical cases of clinical classification were all higher in the clusters especially the family clusters, but the differences were not significant (P>0.05). There were 34 clusters involving more than 5 confirmed cases accounted for 41.98% (34/81) of the total clusters, the involved cases accounted for 68.31% (261/382) of the total cases of clusters. There were significant differences in age distribution of the cases among the case clusters with different case numbers. In the clusters involving 6-9 cases, the proportion of cases aged 65 years or above was more (26.53%, 39/147).

Conclusions:

The incidence rate of COVID-19 was relatively high and the early epidemic was serious in Heilongjiang, The number of cases was large in clusters especially family clusters.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Epidemics / COVID-19 Type of study: Observational study / Prognostic study Limits: Aged / Humans / Middle aged Country/Region as subject: Asia Language: Chinese Journal: Zhonghua Liu Xing Bing Xue Za Zhi Year: 2020 Document Type: Article Affiliation country: Cma.j.cn112338-20200521-00752

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Epidemics / COVID-19 Type of study: Observational study / Prognostic study Limits: Aged / Humans / Middle aged Country/Region as subject: Asia Language: Chinese Journal: Zhonghua Liu Xing Bing Xue Za Zhi Year: 2020 Document Type: Article Affiliation country: Cma.j.cn112338-20200521-00752