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Risk assessment of the step-by-step return-to-work policy in Beijing following the COVID-19 epidemic peak

Risk assessment of the step-by-step return-to-work policy in Beijing following the COVID-19 epidemic peak
Risk assessment of the step-by-step return-to-work policy in Beijing following the COVID-19 epidemic peak
Novel coronavirus (COVID-19) is a new strain of coronavirus first identified in Wuhan, China. As the virus spread worldwide causing a global pandemic, China reduced transmission at considerable social and economic cost. Post-lockdown, resuming work safely, that is, while avoiding a second epidemic outbreak, is a major challenge. Exacerbating this challenge, Beijing hosts many residents and workers with origins elsewhere, making it a relatively high-risk region in which to resume work. Nevertheless, the step-by-step approach taken by Beijing appears to have been effective so far. To learn from the epidemic progression and return-to-work measures undertaken in Beijing, and to inform efforts to avoid a second outbreak of COVID-19, we simulated the epidemiological progression of COVID-19 in Beijing under the real scenario of multiple stages of resuming work. A new epidemic transmission model was developed from a modified SEIR model for SARS, tailored to the situation of Beijing and fitted using multi-source data. Because of strong spatial heterogeneity amongst the population, socio-economic factors and medical capacity of Beijing, the risk assessment was undertaken spatiotemporally with respect to each district of Beijing. The epidemic simulation confirmed that the policy of resuming work step-by step, as implemented in Beijing, was sufficient to avoid a recurrence of the epidemic. Moreover, because of the structure of the model, the simulation provided insights into the specific factors at play at different stages of resuming work, allowing district-specific recommendations to be made with respect to monitoring at different stages of resuming work . As such, this research provides important lessons for other cities and regions dealing with outbreaks of COVID-19 and implementing return-to-work policies.
1436-3240
481-498
Zhang, Wen-bin
a4ab325c-e9cb-4369-959b-25a3320bb4e3
Ge, Yong
f22fa40c-9a6a-456c-bdad-b322c3fd24ee
Liu, Mengxiao
71362048-644e-4deb-a2c0-dfb09382eb32
Atkinson, Peter M.
96e96579-56fe-424d-a21c-17b6eed13b0b
Wang, Jinfeng
3b2e15d2-baff-451c-8a30-d05c3970059f
Zhang, Xining
d729ce2a-fc5c-4675-8239-24a9cd6e1627
Tian, Zhaoxing
8a735ca9-3116-4388-bd9d-252cc681a073
Zhang, Wen-bin
a4ab325c-e9cb-4369-959b-25a3320bb4e3
Ge, Yong
f22fa40c-9a6a-456c-bdad-b322c3fd24ee
Liu, Mengxiao
71362048-644e-4deb-a2c0-dfb09382eb32
Atkinson, Peter M.
96e96579-56fe-424d-a21c-17b6eed13b0b
Wang, Jinfeng
3b2e15d2-baff-451c-8a30-d05c3970059f
Zhang, Xining
d729ce2a-fc5c-4675-8239-24a9cd6e1627
Tian, Zhaoxing
8a735ca9-3116-4388-bd9d-252cc681a073

Zhang, Wen-bin, Ge, Yong, Liu, Mengxiao, Atkinson, Peter M., Wang, Jinfeng, Zhang, Xining and Tian, Zhaoxing (2021) Risk assessment of the step-by-step return-to-work policy in Beijing following the COVID-19 epidemic peak. Stochastic Environmental Research and Risk Assessment, 481-498. (doi:10.1007/s00477-020-01929-3).

Record type: Article

Abstract

Novel coronavirus (COVID-19) is a new strain of coronavirus first identified in Wuhan, China. As the virus spread worldwide causing a global pandemic, China reduced transmission at considerable social and economic cost. Post-lockdown, resuming work safely, that is, while avoiding a second epidemic outbreak, is a major challenge. Exacerbating this challenge, Beijing hosts many residents and workers with origins elsewhere, making it a relatively high-risk region in which to resume work. Nevertheless, the step-by-step approach taken by Beijing appears to have been effective so far. To learn from the epidemic progression and return-to-work measures undertaken in Beijing, and to inform efforts to avoid a second outbreak of COVID-19, we simulated the epidemiological progression of COVID-19 in Beijing under the real scenario of multiple stages of resuming work. A new epidemic transmission model was developed from a modified SEIR model for SARS, tailored to the situation of Beijing and fitted using multi-source data. Because of strong spatial heterogeneity amongst the population, socio-economic factors and medical capacity of Beijing, the risk assessment was undertaken spatiotemporally with respect to each district of Beijing. The epidemic simulation confirmed that the policy of resuming work step-by step, as implemented in Beijing, was sufficient to avoid a recurrence of the epidemic. Moreover, because of the structure of the model, the simulation provided insights into the specific factors at play at different stages of resuming work, allowing district-specific recommendations to be made with respect to monitoring at different stages of resuming work . As such, this research provides important lessons for other cities and regions dealing with outbreaks of COVID-19 and implementing return-to-work policies.

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Accepted/In Press date: 30 October 2020
e-pub ahead of print date: 13 November 2020
Published date: February 2021

Identifiers

Local EPrints ID: 490661
URI: http://eprints.soton.ac.uk/id/eprint/490661
ISSN: 1436-3240
PURE UUID: 310b2299-87fd-4071-9303-59a0291a6657
ORCID for Wen-bin Zhang: ORCID iD orcid.org/0000-0002-9295-1019
ORCID for Peter M. Atkinson: ORCID iD orcid.org/0000-0002-5489-6880

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Date deposited: 03 Jun 2024 16:31
Last modified: 13 Nov 2024 05:01

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Contributors

Author: Wen-bin Zhang ORCID iD
Author: Yong Ge
Author: Mengxiao Liu
Author: Peter M. Atkinson ORCID iD
Author: Jinfeng Wang
Author: Xining Zhang
Author: Zhaoxing Tian

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