Literature DB >> 34117851

Impact of socioeconomic status,population mobility and control measures on COVID-10 development in major cities of China.

Sisi Wang1, Yuanqing Ye1, Xiaolin Xu1, Sicong Wang1, Xin Xu1, Changzheng Yuan1, Shu Li1, Shuyin Cao1, Wenyuan Li1, Chen Chen1, Kejia Hu1, Hao Lei1, Hui Zhu1, Yong Zhu1, Xifeng Wu1.   

Abstract

:To evaluate the impact of socioeconomic status,population mobility,prevention and control measures on the early-stage coronavirus disease 2019 (COVID-19) development in major cities of China. : The rate of daily new confirmed COVID-19 cases in the 51 cities with the largest number of cumulative confirmed cases as of February 19,2020 (except those in Hubei province) were collected and analyzed using the time series cluster analysis. It was then assessed according to three aspects,that is, socioeconomic status,population mobility,and control measures for the pandemic. : According to the analysis on the 51 cities,4 development patterns of COVID-19 were obtained,including a high-incidence pattern (in Xinyu),a late high-incidence pattern (in Ganzi),a moderate incidence pattern (in Wenzhou and other 12 cities),and a low and stable incidence pattern (in Hangzhou and other 35 cities). Cities with different types and within the same type both had different scores on the three aspects. : There were relatively large difference on the COVID-19 development among different cities in China,possibly affected by socioeconomic status,population mobility and prevention and control measures that were taken. Therefore,a timely public health emergency response and travel restriction measures inside the city can interfere the development of the pandemic. Population flow from high risk area can largely affect the number of cumulative confirmed cases.

Entities:  

Keywords:  Cluster analysis; Control measures; Coronavirus disease 2019;China; Population flows; Socioeconomic status

Mesh:

Year:  2021        PMID: 34117851      PMCID: PMC8675075          DOI: 10.3724/zdxbyxb-2021-0028

Source DB:  PubMed          Journal:  Zhejiang Da Xue Xue Bao Yi Xue Ban        ISSN: 1008-9292


  15 in total

1.  Synchrony, waves, and spatial hierarchies in the spread of influenza.

Authors:  Cécile Viboud; Ottar N Bjørnstad; David L Smith; Lone Simonsen; Mark A Miller; Bryan T Grenfell
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Review 2.  Research findings from nonpharmaceutical intervention studies for pandemic influenza and current gaps in the research.

Authors:  Allison E Aiello; Rebecca M Coulborn; Tomas J Aragon; Michael G Baker; Barri B Burrus; Benjamin J Cowling; Alasdair Duncan; Wayne Enanoria; M Patricia Fabian; Yu-hui Ferng; Elaine L Larson; Gabriel M Leung; Howard Markel; Donald K Milton; Arnold S Monto; Stephen S Morse; J Alexander Navarro; Sarah Y Park; Patricia Priest; Samuel Stebbins; Alexandra M Stern; Monica Uddin; Scott F Wetterhall; Charles J Vukotich
Journal:  Am J Infect Control       Date:  2010-03-12       Impact factor: 2.918

Review 3.  Effectiveness of personal protective measures in reducing pandemic influenza transmission: A systematic review and meta-analysis.

Authors:  Patrick Saunders-Hastings; James A G Crispo; Lindsey Sikora; Daniel Krewski
Journal:  Epidemics       Date:  2017-04-30       Impact factor: 4.396

4.  Addressing Big Data Time Series: Mining Trillions of Time Series Subsequences Under Dynamic Time Warping.

Authors:  Thanawin Rakthanmanon; Bilson Campana; Abdullah Mueen; Gustavo Batista; Brandon Westover; Qiang Zhu; Jesin Zakaria; Eamonn Keogh
Journal:  ACM Trans Knowl Discov Data       Date:  2013-09       Impact factor: 2.713

5.  Population Movement, City Closure in Wuhan, and Geographical Expansion of the COVID-19 Infection in China in January 2020.

Authors:  Kun Liu; Siqi Ai; Shuxuan Song; Guanghu Zhu; Fei Tian; Huan Li; Yuan Gao; Yinglin Wu; Shiyu Zhang; Zhongjun Shao; Qiyong Liu; Hualiang Lin
Journal:  Clin Infect Dis       Date:  2020-11-19       Impact factor: 9.079

6.  Effectiveness of workplace social distancing measures in reducing influenza transmission: a systematic review.

Authors:  Faruque Ahmed; Nicole Zviedrite; Amra Uzicanin
Journal:  BMC Public Health       Date:  2018-04-18       Impact factor: 3.295

7.  Temperature, Humidity, and Latitude Analysis to Estimate Potential Spread and Seasonality of Coronavirus Disease 2019 (COVID-19).

Authors:  Mohammad M Sajadi; Parham Habibzadeh; Augustin Vintzileos; Shervin Shokouhi; Fernando Miralles-Wilhelm; Anthony Amoroso
Journal:  JAMA Netw Open       Date:  2020-06-01

Review 8.  Characteristics of and Public Health Responses to the Coronavirus Disease 2019 Outbreak in China.

Authors:  Sheng-Qun Deng; Hong-Juan Peng
Journal:  J Clin Med       Date:  2020-02-20       Impact factor: 4.241

9.  An investigation of transmission control measures during the first 50 days of the COVID-19 epidemic in China.

Authors:  Huaiyu Tian; Yonghong Liu; Yidan Li; Chieh-Hsi Wu; Bin Chen; Moritz U G Kraemer; Bingying Li; Jun Cai; Bo Xu; Qiqi Yang; Ben Wang; Peng Yang; Yujun Cui; Yimeng Song; Pai Zheng; Quanyi Wang; Ottar N Bjornstad; Ruifu Yang; Bryan T Grenfell; Oliver G Pybus; Christopher Dye
Journal:  Science       Date:  2020-03-31       Impact factor: 47.728

10.  Characteristics of and Important Lessons From the Coronavirus Disease 2019 (COVID-19) Outbreak in China: Summary of a Report of 72 314 Cases From the Chinese Center for Disease Control and Prevention.

Authors:  Zunyou Wu; Jennifer M McGoogan
Journal:  JAMA       Date:  2020-04-07       Impact factor: 56.272

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