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Coronavirus disease 2019 outbreak in Beijing's Xinfadi Market, China: a modeling study to inform future resurgence response.
Wang, Xiao-Li; Lin, Xin; Yang, Peng; Wu, Zun-You; Li, Gang; McGoogan, Jennifer M; Jiao, Zeng-Tao; He, Xin-Jun; Li, Si-Qi; Shi, Hong-Hao; Wang, Jing-Yuan; Lai, Sheng-Jie; Huang, Chun; Wang, Quan-Yi.
  • Wang XL; Beijing Research Center for Preventive Medicine, Beijing Center for Disease Prevention and Control, Beijing, China.
  • Lin X; School of Public Health, Capital Medical University, Beijing, China.
  • Yang P; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China.
  • Wu ZY; School of Computer Science and Engineering, Beihang University, Beijing, China.
  • Li G; Beijing Research Center for Preventive Medicine, Beijing Center for Disease Prevention and Control, Beijing, China.
  • McGoogan JM; School of Public Health, Capital Medical University, Beijing, China.
  • Jiao ZT; Chinese Center for Disease Control and Prevention, Beijing, China.
  • He XJ; Beijing Research Center for Preventive Medicine, Beijing Center for Disease Prevention and Control, Beijing, China.
  • Li SQ; Chinese Center for Disease Control and Prevention, Beijing, China.
  • Shi HH; Yidu Cloud AI Lab, Yidu Cloud (Beijing) Technology Co., Ltd, Beijing, China.
  • Wang JY; Yidu Cloud AI Lab, Yidu Cloud (Beijing) Technology Co., Ltd, Beijing, China.
  • Lai SJ; Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA.
  • Huang C; School of Computer Science and Engineering, Beihang University, Beijing, China.
  • Wang QY; School of Computer Science and Engineering, Beihang University, Beijing, China. jywang@buaa.edu.cn.
Infect Dis Poverty ; 10(1): 62, 2021 May 07.
Article in English | MEDLINE | ID: covidwho-1220178
ABSTRACT

BACKGROUND:

A local coronavirus disease 2019 (COVID-19) case confirmed on June 11, 2020 triggered an outbreak in Beijing, China after 56 consecutive days without a newly confirmed case. Non-pharmaceutical interventions (NPIs) were used to contain the source in Xinfadi (XFD) market. To rapidly control the outbreak, both traditional and newly introduced NPIs including large-scale management of high-risk populations and expanded severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) PCR-based screening in the general population were conducted in Beijing. We aimed to assess the effectiveness of the response to the COVID-19 outbreak in Beijing's XFD market and inform future response efforts of resurgence across regions.

METHODS:

A modified susceptible-exposed-infectious-recovered (SEIR) model was developed and applied to evaluate a range of different scenarios from the public health perspective. Two outcomes were measured magnitude of transmission (i.e., number of cases in the outbreak) and endpoint of transmission (i.e., date of containment). The outcomes of scenario evaluations were presented relative to the reality case (i.e., 368 cases in 34 days) with 95% Confidence Interval (CI).

RESULTS:

Our results indicated that a 3 to 14 day delay in the identification of XFD as the infection source and initiation of NPIs would have caused a 3 to 28-fold increase in total case number (31-77 day delay in containment). A failure to implement the quarantine scheme employed in the XFD outbreak for defined key population would have caused a fivefold greater number of cases (73 day delay in containment). Similarly, failure to implement the quarantine plan executed in the XFD outbreak for close contacts would have caused twofold greater transmission (44 day delay in containment). Finally, failure to implement expanded nucleic acid screening in the general population would have yielded 1.6-fold greater transmission and a 32 day delay to containment.

CONCLUSIONS:

This study informs new evidence that in form the selection of NPI to use as countermeasures in response to a COVID-19 outbreak and optimal timing of their implementation. The evidence provided by this study should inform responses to future outbreaks of COVID-19 and future infectious disease outbreak preparedness efforts in China and elsewhere.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Diagnostic study / Experimental Studies / Observational study / Prognostic study Limits: Humans Country/Region as subject: Asia Language: English Journal: Infect Dis Poverty Year: 2021 Document Type: Article Affiliation country: S40249-021-00843-2

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Diagnostic study / Experimental Studies / Observational study / Prognostic study Limits: Humans Country/Region as subject: Asia Language: English Journal: Infect Dis Poverty Year: 2021 Document Type: Article Affiliation country: S40249-021-00843-2