ArticleStochastic environmental research and risk assessment : research journal2021
Risk assessment of the step-by-step return-to-work policy in Beijing following the COVID-19 epidemic peak.
Article in Stochastic environmental research and risk assessment : research journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Learning from an experience, challenges and approaches in the workplace during COVID-19 pandemic: a content analysis of international documents.BMC public health · 2024Article
- National lockdowns in England: The same restrictions for all, but do the impacts on COVID-19 mortality risks vary geographically?Spatial and spatio-temporal epidemiology · 2023Article
- Using simulation modelling and systems science to help contain COVID-19: A systematic review.Systems research and behavioral science · 2022Article
- Assessing work resumption in hospitals during the COVID-19 epidemic in China using multiscale geographically weighted regression.Transactions in GIS : TG · 2022Article
- Impacts of worldwide individual non-pharmaceutical interventions on COVID-19 transmission across waves and space.International journal of applied earth observation and geoinformation : ITC journal · 2022Article
- A topology-based evaluation of resilience on urban road networks against epidemic spread: Implications for COVID-19 responses.Frontiers in public health · 2022Article
- Effect of different resumption strategies to flatten the potential COVID-19 outbreaks amid society reopens: a modeling study in China.BMC public health · 2021Article
- Using the IPcase Index with Inflection Points and the Corresponding Case Numbers to Identify the Impact Hit by COVID-19 in China: An Observation Study.International journal of environmental research and public health · 2021Observational
- COVID-19 mortality analysis from soft-data multivariate curve regression and machine learning.Stochastic environmental research and risk assessment : research journal · 2021Article
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7 authors.
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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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