Literature DB >> 32131914

The novel coronavirus (COVID-19) infection in Hangzhou: An experience to share.

MengYuan Diao1, Sheng Zhang2, Dechang Chen2, Wei Hu1.   

Abstract

Entities:  

Mesh:

Year:  2020        PMID: 32131914      PMCID: PMC7200845          DOI: 10.1017/ice.2020.62

Source DB:  PubMed          Journal:  Infect Control Hosp Epidemiol        ISSN: 0899-823X            Impact factor:   3.254


× No keyword cloud information.
To the Editor—Hangzhou, the capital of Zhejiang province in China, was confronted with the pandemic of a novel coronavirus (COVID-19) that originated in Wuhan, Hubei province.[1] According to the Health Commission of Zhejiang Province,[2] 6 cases were first reported on January 19, 2020, and the cumulative cases reached 169 as of February 20, 2020. The situation in Hangzhou was once rather severe—it was the top-ranking city with respect to the number of confirmed cases in Zhejiang province at the beginning of the epidemic. Since the Hangzhou government took rigorous measures to contain the epidemic, positive trends have been observed. The daily number of newly confirmed cases has sharply decreased within the last week, and only 1 case was confirmed from February 17 to 20. Similarly, Hangzhou reported no deaths in its administrative region. We used a regression of log-incidence over time model[3] to provide a fitted trajectory for the actual daily incidence to verify the control effect. As shown in Figure 1, the optimal splitting point, defined as the peak number of daily new cases simulated by the model, occurred on January 25. This peak occurred about a week after launching the highest level of emergency public health alert and response in Hangzhou, which indicates that the prevention and control measures may have been effective.
Fig. 1.

The impact of a public emergency health alert on the daily incidence of COVID-19 infection in Hangzhou. The fitted trajectory shows the probable daily incidence with 95% confidence interval derived from existing data using a log-incidence over time regression model. The split point is the optimal date to split the epicurve into two phases, which best fits the model. Other interventions include restricted movement outside the home, noncontact delivery, online work and teaching, etc.

The impact of a public emergency health alert on the daily incidence of COVID-19 infection in Hangzhou. The fitted trajectory shows the probable daily incidence with 95% confidence interval derived from existing data using a log-incidence over time regression model. The split point is the optimal date to split the epicurve into two phases, which best fits the model. Other interventions include restricted movement outside the home, noncontact delivery, online work and teaching, etc. Overall, 6 major measures were taken to control and prevent the spread of COVID-19 in Hangzhou. First, aware of the seriousness of the situation, on January 23, 2020, the Zhejiang province authorities launched a Level I Public Health Incident Alert, the highest level of emergency public health alert and response in the nation’s public health management system. As the top level of China’s public health alert system, this measure imposed the maximal limit on movement by people. Second, further action was taken on February 3, 2020, when most districts of Hangzhou announced that every community would be kept under closed management and that only 1 family member was allowed to leave the house to buy daily living supplies every 2 days. Third, “noncontact delivery,” a new delivery method, was adopted by many express delivery companies to reduce contagion risk. Fourth, to reduce the concentration of personnel to avoid the risk of cross infection, online working and network teaching were encouraged for workers and students, respectively. These measures were supported by mobile technology companies. Fifth, to meet the need to resume production and curb the transmission of the virus as far as possible, Hangzhou arranged chartered transportation to help numbers of migrants return to their work places. Lastly, in cooperation with Alipay, Hangzhou adopted the health quick-response (QR) code system on February 11, 2020, which were designated by green, yellow, or red. People who wanted to get into Hangzhou needed to submit their travel history and health information online in advance. Residents with a green code indicated they had a low current risk of being infected, while residents with yellow or red codes were quarantined for 7 or 14 days and were required to report their health condition daily to exclude infection before the code was changed to green. This health surveillance system has now been applied in most cities in Zhejiang province and will be promoted in other provinces. Although the effect of prevention and control measures is evident, Hangzhou continues to face huge challenges owing to its large immigrant population. However, this city has already learned much from this epidemic, and we hope that some of our experiences will assist others in their regions.
  2 in total

1.  Epidemic curves made easy using the R package incidence.

Authors:  Zhian N Kamvar; Jun Cai; Juliet R C Pulliam; Jakob Schumacher; Thibaut Jombart
Journal:  F1000Res       Date:  2019-01-31

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

  2 in total
  7 in total

1.  Awareness of Health Professionals on COVID-19 and Factors Affecting It Before and During Index Case in North Shoa Zone, Ethiopia, 2020.

Authors:  Ayele Abebe; Abinet Mekuria; Awraris Balchut
Journal:  Infect Drug Resist       Date:  2020-08-24       Impact factor: 4.003

2.  Application and effects of fever screening system in the prevention of nosocomial infection in the only designated hospital of coronavirus disease 2019 (COVID-19) in Shenzhen, China.

Authors:  Ting Huang; Yinsheng Guo; Shaxi Li; Yanqun Zheng; Lin Lei; Xianhu Zeng; Qiao Zhong; Yingxia Liu; Lei Liu
Journal:  Infect Control Hosp Epidemiol       Date:  2020-04-13       Impact factor: 3.254

3.  Towards Understanding COVID-19: Molecular Insights, Co-infections, Associated Disorders, and Aging.

Authors:  Elena L Paley
Journal:  J Alzheimers Dis Rep       Date:  2021-07-20

4.  The Lived Experience of Being Diagnosed With COVID-19 Among Black Patients: A Qualitative Study.

Authors:  Sainfer Aliyu; Jasmine L Travers; Allison A Norful; Michael Clarke; Krista Schroeder
Journal:  J Patient Exp       Date:  2021-03-18

5.  The powder keg: Lessons learned about clinical staff preparedness during the early phase of the COVID-19 pandemic.

Authors:  Sainfer Aliyu; Allison A Norful; Krista Schroeder; Michelle Odlum; Bonnie Glica; Jasmine L Travers
Journal:  Am J Infect Control       Date:  2020-10-20       Impact factor: 2.918

6.  Differentiating the stress buffering functions of perceived versus received social support.

Authors:  Jian Raymond Rui; Jieqiong Guo
Journal:  Curr Psychol       Date:  2022-01-14

Review 7.  miRNAs; a novel strategy for the treatment of COVID-19.

Authors:  Hao Ying; Mohsen Ebrahimi; Mona Keivan; Seyed Esmaeil Khoshnam; Sarvenaz Salahi; Maryam Farzaneh
Journal:  Cell Biol Int       Date:  2021-07-05       Impact factor: 4.473

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.