2019冠状病毒病 |
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基于人口流动数据研究武汉“封城”对中国 2019冠状病毒病疫情态势的影响 |
王思聪1,2( ),叶元庆1,2,3,胡可嘉12,雷浩12,陈辰1,2,徐小林1,2,李文渊12,袁长征1,2,曹淑殷1,2,王思思1,2,李舒1,2,贾君麟1,2,王秦川4,卞子龙1,2,吴息凤1,2,3,*( ) |
1. 浙江大学医学院附属第二医院生物统计、生物信息学和大数据中心,浙江 杭州 310009 2. 浙江大学医学院公共卫生学院大数据健康科学系,浙江 杭州 310058 3. 浙江大学健康医疗大数据国家研究院,浙江 杭州 310058 4. 浙江大学医学院附属邵逸夫医院肿瘤外科,浙江 杭州 310016 |
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Impact of Wuhan lockdown on the spread of COVID-19 in China: a study based on the data of population mobility |
WANG Sicong1,2( ),YE Yuanqing1,2,3,HU Kejia12,LEI Hao12,CHEN Chen1,2,XU Xiaolin1,2,LI Wenyuan12,YUAN Changzheng1,2,CAO Shuyin1,2,WANG Sisi1,2,LI Shu1,2,JIA Junlin1,2,WANG Qinchuan4,BIAN Zilong1,2,WU Xifeng1,2,3,*( ) |
1. Center for Biostatistics,Bioinformatics and Big Data,the Second Affiliated Hospital,Zhejiang University School of Medicine,Hangzhou 310009,China; 2. Department of Big Data in Health Science,School of Public Health,Zhejiang University School of Medicine,Hangzhou 310058,China; 3. National Institute for Data Science in Health and Medicine,Zhejiang University,Hangzhou 310058,China; 4. Department of Surgical Oncology,Sir Run Run Shaw Hospital,Zhejiang University School of Medicine,Hangzhou 310016,China |
引用本文:
王思聪,叶元庆,胡可嘉,雷浩,陈辰,徐小林,李文渊,袁长征,曹淑殷,王思思,李舒,贾君麟,王秦川,卞子龙,吴息凤. 基于人口流动数据研究武汉“封城”对中国 2019冠状病毒病疫情态势的影响[J]. 浙江大学学报(医学版), 2021, 50(1): 61-67.
WANG Sicong,YE Yuanqing,HU Kejia,LEI Hao,CHEN Chen,XU Xiaolin,LI Wenyuan,YUAN Changzheng,CAO Shuyin,WANG Sisi,LI Shu,JIA Junlin,WANG Qinchuan,BIAN Zilong,WU Xifeng. Impact of Wuhan lockdown on the spread of COVID-19 in China: a study based on the data of population mobility. J Zhejiang Univ (Med Sci), 2021, 50(1): 61-67.
链接本文:
http://www.zjujournals.com/med/CN/10.3724/zdxbyxb-2021-0021
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http://www.zjujournals.com/med/CN/Y2021/V50/I1/61
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1 |
WHO. Weekly epidemiological update-24 November 2020 [EB/OL]. [2020-11-24]. https: //www.who.int/emergencies/diseases/novel-coronavirus-2019/situation-reports.
|
2 |
WU J T, LEUNG K, LEUNG G M . Nowcasting and forecasting the potential domestic and international spread of the 2019-nCoV outbreak originating in Wuhan, China: a modelling study[J]. Lancet, 2020, 395(10225): 689-697.
doi: 10.1016/S0140-6736(20)30260-9
|
3 |
LAI S, RUKTANONCHAI N W, ZHOU L, et al. Effect of non-pharmaceutical interventions to contain COVID-19 in China[J]. Nature, 2020, 585(7825): 410-413.
doi: 10.1038/s41586-020-2293-x
|
4 |
ZHU X, ZHANG A, XU S, et al. Spatially explicit modeling of 2019-ncov epidemic trend based on mobile phone data in mainland China[J]. medRxiv, 2020. DOI: 10.1101/2020.02.09.20021360 .
|
5 |
KRAEMER M U G, YANG C H, GUTIERREZ B, et al. The effect of human mobility and control measures on the COVID-19 epidemic in China[J]. Science, 2020, 368(6490): 493-497.
doi: 10.1126/science.abb4218
|
6 |
ZHAO X, LIU X, LI X. Tracking the spread of novel coronavirus (2019-nCoV) based on big data[J]. medRxiv, 2020. DOI: 10.1101/2020.02.07. 20021196 .
|
7 |
NISHIURA H, JUNG S M, LINTON N M, et al. The extent of transmission of novel coronavirus in Wuhan, China, 2020[J]. J Clin Med, 2020, 9(2): 330.
doi: 10.3390/jcm9020330
|
8 |
CAO Z, ZHANG Q, LU X, et al. Incorporating human movement data to improve epidemiological estimates for 2019-nCoV[J]. medRxiv, 2020. DOI: 10.1101/2020.02.07.20021071 .
|
9 |
ZHAO H, MAN S, WANG B, et al. Epidemic size of novel coronavirus-infected pneumonia in the Epicenter Wuhan using data of five-countries’ evacuation action[J]. medRxiv, 2020 .
|
10 |
LIU K, AI S, SONG S, et al. Population movement, city closure in Wuhan, and geographical expansion of the COVID-19 infection in China in January 2020[J]. Clin Infect Dis, 2020, 71(16): 2045-2051.
doi: 10.1093/cid/ciaa422
|
11 |
Xinhuanet. Early diagnosis, treatment lead to higher recovery rate in China [N/OL]. [2020-02-17].http: //www.xinhuanet.com/english/2020-02/17/c_ 138791923.htm.
|
12 |
LI Q, GUAN X, WU P, et al. Early transmission dynamics in Wuhan, China, of novel coronavirus–infected pneumonia[J]. N Engl J Med, 2020, 382(13): 1199-1207.
doi: 10.1056/NEJMoa2001316
|
14 |
FAN C, LIU L, GUO W, et al. Prediction of epidemic spread of the 2019 novel coronavirus driven by spring festival transportation in china: a population-based study[J]. Int J Environ Res Public Health, 2020, 17(5): 1679.
doi: 10.3390/ijerph17051679
|
15 |
JIA J S, LU X, YUAN Y, et al. Population flow drives spatio-temporal distribution of COVID-19 in China[J]. Nature, 2020, 582(7812): 389-394.
doi: 10.1038/s41586-020-2284-y
|
16 |
YE Y, XU X, WANG S, et al. Evaluating the control strategies and measures for covid-19 epidemic in mainland China: a city-level observational study[J]. Bull World Health Organ, 2020. DOI: 10.2471/BLT.20.264739 .
|
17 |
WILDER-SMITH A, FREEDMAN D O . Isolation, quarantine, social distancing and community contain-ment: pivotal role for old-style public health measures in the novel coronavirus (2019-nCoV) outbreak[J]. J Travel Med, 2020,, 27(2):
doi: 10.1093/jtm/taaa020
|
18 |
CHINAZZI M, DAVIS J T, AJELLI M, et al. The effect of travel restrictions on the spread of the 2019 novel coronavirus (COVID-19) outbreak[J]. Science, 2020, 368(6489): 395-400.
doi: 10.1126/science.aba9757
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