Evidence map›Paper›PMID 33706208›Full record

ArticlePublic health2021

Evaluation of work resumption strategies after COVID-19 reopening in the Chinese city of Shenzhen: a mathematical modeling study.

Lu Bai, Haonan Lu, Hailin Hu, M Kumi Smith, Katherine Harripersaud, Veronika Lipkova, Yujin Wen, Xiuyan Guo, Wei Peng, Chenwei Liu and 3 more

Abstract read
In one paragraph

Article in Public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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  6. Critical timing and extent of public health interventions to control outbreaks dominated by SARS-CoV-2 variants in Australia: a mathematical modelling study.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2022
    Article
  7. Article
  8. Article
  9. Effects of New York's Executive Order on Face Mask Use on COVID-19 Infections and Mortality: A Modeling Study.Journal of urban health : bulletin of the New York Academy of Medicine · 2021
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Lu BaiChina-Australia Joint Research Center for Infectious Diseases, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, 710061, PR China.
Haonan LuAI Application Research Center, Huawei Technologies Co., Ltd. Shenzhen, Guangdong, 518000, PR China.
Hailin HuAI Application Research Center, Huawei Technologies Co., Ltd. Shenzhen, Guangdong, 518000, PR China.
M Kumi SmithDivision of Epidemiology and Community Health, University of Minnesota Twin Cities, Twin Cities, United States.
Katherine HarripersaudICAP, Mailman School of Public Health, Columbia University, New York, United States.
Veronika LipkovaMedical Sciences Division, University of Oxford, Oxford, United Kingdom.
Yujin WenAI Application Research Center, Huawei Technologies Co., Ltd. Shenzhen, Guangdong, 518000, PR China.
Xiuyan GuoAI Application Research Center, Huawei Technologies Co., Ltd. Shenzhen, Guangdong, 518000, PR China.
Wei PengAI Application Research Center, Huawei Technologies Co., Ltd. Shenzhen, Guangdong, 518000, PR China.
Chenwei LiuAI Application Research Center, Huawei Technologies Co., Ltd. Shenzhen, Guangdong, 518000, PR China.
Mingwang ShenChina-Australia Joint Research Center for Infectious Diseases, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, 710061, PR China.
Alfred Chixiong ShenAI Application Research Center, Huawei Technologies Co., Ltd. Shenzhen, Guangdong, 518000, PR China.
Lei ZhangChina-Australia Joint Research Center for Infectious Diseases, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, 710061, PR China; Melbourne Sexual Health Centre, Alfred Health, Melbourne, Australia; Central Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, VIC, Australia; Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, Henan, China. Electronic address: lei.zhang1@xjtu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesAs China is facing a potential second wave of the epidemic, we reviewed and evaluated the intervention measures implemented in a major metropolitan city, Shenzhen, during the early phase of Wuhan lockdown. STUDY

designBased on the classic SEITR model and combined with population mobility, a compartmental model was constructed to simulate the transmission of COVID-19 and disease progression in the Shenzhen population.

methodsBased on published epidemiological data on COVID-19 and population mobility data from Baidu Qianxi, we constructed a compartmental model to evaluate the impact of work and traffic resumption on the epidemic in Shenzhen in various scenarios.

resultsImported cases account for most (58.6%) of the early reported cases in Shenzhen. We demonstrated that with strict inflow population control and a high level of mask usage after work resumption, various resumptions resulted in only an insignificant difference in the number of cumulative infections. Shenzhen may experience this second wave of infections approximately two weeks after the traffic resumption if the incidence risk in Hubei is high at the moment of resumption.

conclusionRegardless of the work resumption strategy adopted in Shenzhen, the risk of a resurgence of COVID-19 after its reopening was limited. The strict control of imported cases and extensive use of facial masks play a key role in COVID-19 prevention.

Indexed as

Return to WorkChinaCitiesCOVID-19HumansModels, TheoreticalQuarantineCoronavirus disease 2019 (COVID-19)Population mobilityShenzhenTraffic resumptionWork resumption

Identifiers

PMID33706208
PMCPMC7857120

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.