Dataset Information

Transmission dynamics and the effects of non-pharmaceutical interventions in the COVID-19 outbreak resurged in Beijing, China: a descriptive and modelling study.

ABSTRACT:

Objective

To evaluate epidemiological characteristics and transmission dynamics of COVID-19 outbreak resurged in Beijing and to assess the effects of three non-pharmaceutical interventions.

Design

Descriptive and modelling study based on surveillance data of COVID-19 in Beijing.

Setting

Outbreak in Beijing.

Participants

The database included 335 confirmed cases of COVID-19.

Methods

To conduct spatiotemporal analyses of the outbreak, we collected individual records on laboratory-confirmed cases of COVID-19 from 11 June 2020 to 5 July 2020 in Beijing, and visitor flow and products transportation data of Xinfadi Wholesale Market. We also built a modified susceptible-exposed-infected-removed model to investigate the effect of interventions deployed in Beijing.

Results

We found that the staff working in the market (52.2%) and the people around 10 km to this epicentre (72.5%) were most affected, and the population mobility entering-exiting Xinfadi Wholesale Market significantly contributed to the spread of COVID-19 (p=0.021), but goods flow of the market had little impact on the virus spread (p=0.184). The prompt identification of Xinfadi Wholesale Market as the infection source could have avoided a total of 25 708 (95% CI 13 657 to 40 625) cases if unnoticed transmission lasted for a month. Based on the model, we found that active screening on targeted population by nucleic acid testing alone had the most significant effect.

Conclusions

The non-pharmaceutical interventions deployed in Beijing, including localised lockdown, close-contact tracing and community-based testing, were proved to be effective enough to contain the outbreak. Beijing has achieved an optimal balance between epidemic containment and economic protection.

SUBMITTER: Cui X

PROVIDER: S-EPMC8424429 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature

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Publications

Transmission dynamics and the effects of non-pharmaceutical interventions in the COVID-19 outbreak resurged in Beijing, China: a descriptive and modelling study.

Cui Xiaoming X Zhao Lin L Zhou Yuhao Y Lin Xin X Ye Runze R Ma Ke K Jiang Jia-Fu JF Jiang Baogui B Xiong Zhang Z Shi HongHao H Wang Jingyuan J Jia Na N Cao Wuchun W

BMJ open 20210907 9

<h4>Objective</h4>To evaluate epidemiological characteristics and transmission dynamics of COVID-19 outbreak resurged in Beijing and to assess the effects of three non-pharmaceutical interventions.<h4>Design</h4>Descriptive and modelling study based on surveillance data of COVID-19 in Beijing.<h4>Setting</h4>Outbreak in Beijing.<h4>Participants</h4>The database included 335 confirmed cases of COVID-19.<h4>Methods</h4>To conduct spatiotemporal analyses of the outbreak, we collected individual rec ...[more]

PMID: 34493510

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Dataset Information

Transmission dynamics and the effects of non-pharmaceutical interventions in the COVID-19 outbreak resurged in Beijing, China: a descriptive and modelling study.

Objective

Design

Setting

Participants

Methods

Results

Conclusions

Publications

Transmission dynamics and the effects of non-pharmaceutical interventions in the COVID-19 outbreak resurged in Beijing, China: a descriptive and modelling study.

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