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Fangcang shelter hospitals during the COVID-19 epidemic, Wuhan, China.
Li, Juan; Yuan, Pei; Heffernan, Jane; Zheng, Tingting; Ogden, Nick; Sander, Beate; Li, Jun; Li, Qi; Bélair, Jacques; Kong, Jude Dzevela; Aruffo, Elena; Tan, Yi; Jin, Zhen; Yu, Yong; Fan, Meng; Cui, Jingan; Teng, Zhidong; Zhu, Huaiping.
  • Li J; Centre for Disease Modelling, York University, 4700 Keele Street, Toronto, Ontario, M3J 1P3, Canada.
  • Yuan P; Centre for Disease Modelling, York University, 4700 Keele Street, Toronto, Ontario, M3J 1P3, Canada.
  • Heffernan J; Centre for Disease Modelling, York University, 4700 Keele Street, Toronto, Ontario, M3J 1P3, Canada.
  • Zheng T; College of Mathematics and System Science, Xinjiang University, Urumqi, China.
  • Ogden N; Public Health Risk Sciences Division, Public Health Agency of Canada, Canada.
  • Sander B; Toronto Health Economics and Technology Assessment Collaborative, University Health Network, Toronto, Canada.
  • Li J; School of Mathematics and Statistics, Xidian University, Xi'an, China.
  • Li Q; Department of Mathematics, Shanghai Normal University, Shanghai, China.
  • Bélair J; Département de Mathématiques et de Statistique, Université de Montréal, Montréal, Canada.
  • Kong JD; Centre for Disease Modelling, York University, 4700 Keele Street, Toronto, Ontario, M3J 1P3, Canada.
  • Aruffo E; Centre for Disease Modelling, York University, 4700 Keele Street, Toronto, Ontario, M3J 1P3, Canada.
  • Tan Y; Centre for Disease Modelling, York University, 4700 Keele Street, Toronto, Ontario, M3J 1P3, Canada.
  • Jin Z; Complex System Research Center, Shanxi University, Taiyuan, China.
  • Yu Y; School of Public Health and Management, Hubei University of Medicine, Shiyan, China.
  • Fan M; School of Mathematics and Statistics, Northeast Normal University, Changchun, China.
  • Cui J; Department of Mathematics, Beijing University of Civil Engineering and Architecture, Beijing, China.
  • Teng Z; College of Mathematics and System Science, Xinjiang University, Urumqi, China.
  • Zhu H; Centre for Disease Modelling, York University, 4700 Keele Street, Toronto, Ontario, M3J 1P3, Canada.
Bull World Health Organ ; 98(12): 830-841D, 2020 Dec 01.
Article in English | MEDLINE | ID: covidwho-964002
ABSTRACT

OBJECTIVE:

To design models of the spread of coronavirus disease-2019 (COVID-19) in Wuhan and the effect of Fangcang shelter hospitals (rapidly-built temporary hospitals) on the control of the epidemic.

METHODS:

We used data on daily reported confirmed cases of COVID-19, recovered cases and deaths from the official website of the Wuhan Municipal Health Commission to build compartmental models for three phases of the COVID-19 epidemic. We incorporated the hospital-bed capacity of both designated and Fangcang shelter hospitals. We used the models to assess the success of the strategy adopted in Wuhan to control the COVID-19 epidemic.

FINDINGS:

Based on the 13 348 Fangcang shelter hospitals beds used in practice, our models show that if the Fangcang shelter hospitals had been opened on 6 February (a day after their actual opening), the total number of COVID-19 cases would have reached 7 413 798 (instead of 50 844) with 1 396 017 deaths (instead of 5003), and the epidemic would have lasted for 179 days (instead of 71).

CONCLUSION:

While the designated hospitals saved lives of patients with severe COVID-19, it was the increased hospital-bed capacity of the large number of Fangcang shelter hospitals that helped slow and eventually stop the COVID-19 epidemic in Wuhan. Given the current global pandemic of COVID-19, our study suggests that increasing hospital-bed capacity, especially through temporary hospitals such as Fangcang shelter hospitals, to isolate groups of people with mild symptoms within an affected region could help curb and eventually stop COVID-19 outbreaks in communities where effective household isolation is not possible.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 / Hospital Bed Capacity / Mobile Health Units Type of study: Experimental Studies / Observational study / Randomized controlled trials Limits: Humans Country/Region as subject: Asia Language: English Journal: Bull World Health Organ Year: 2020 Document Type: Article Affiliation country: BLT.20.258152

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 / Hospital Bed Capacity / Mobile Health Units Type of study: Experimental Studies / Observational study / Randomized controlled trials Limits: Humans Country/Region as subject: Asia Language: English Journal: Bull World Health Organ Year: 2020 Document Type: Article Affiliation country: BLT.20.258152