Evidence map›Paper›PMID 32546589›Full record

ReviewBMJ global health2020

Large-scale public venues as medical emergency sites in disasters: lessons from COVID-19 and the use of Fangcang shelter hospitals in Wuhan, China.

Dongping Fang, Shengjie Pan, Zaishang Li, Ting Yuan, Benran Jiang, Di Gan, Bai Sheng, Jing Han, Tao Wang, Zhongmin Liu

Open access · goldAbstract readReview
In one paragraph

Review in BMJ global health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed, 1 pooled it
22.9field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

62 citing papers in PubMed, 1 synthesis or guideline pooled it, 160 citations in OpenAlex.

  1. Pooled it
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  11. China's public health initiatives for climate change adaptation.The Lancet regional health. Western Pacific · 2023
    Review
  12. Article
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  15. The Effect of Fangcang Shelter Hospitals under Resource Constraints on the Spread of Epidemics.International journal of environmental research and public health · 2023
    Article
  16. Article
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2 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 4 institutions in 1 country.

Dongping Fang *Department of Construction Management, School of Civil Engineering, Tsinghua University, Beijing, China.
Shengjie Pan *Department of Construction Management, School of Civil Engineering, Tsinghua University, Beijing, China.
Zaishang Li *Department of Construction Management, School of Civil Engineering, Tsinghua University, Beijing, China.
Ting Yuan *Department of Orthopedic Surgery, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.
Benran Jiang *Specialty & Inpatient Center, ParkwayHealth Shanghai, Shanghai, China.
Di Gan *Department of Emergency, Shanghai East Hospital, Tongji University School of Medicine / National Emergency Medical Team (Shanghai), Shanghai, China.
Bai ShengSchool of Arts and Media, Tongji University, Shanghai, China.
Jing HanEmergency Management Office, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China.
Tao WangDepartment of Emergency, Shanghai East Hospital, Tongji University School of Medicine / National Emergency Medical Team (Shanghai), Shanghai, China zhongmin_liu_seh@sina.com happywt0403@126.com.ORCID 0000-0002-5138-7116
Zhongmin LiuDepartment of Emergency, Shanghai East Hospital, Tongji University School of Medicine / National Emergency Medical Team (Shanghai), Shanghai, China zhongmin_liu_seh@sina.com happywt0403@126.com.
Shanghai East Hospital · CNTsinghua University · CNShanghai Jiao Tong University · CNTongji University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since the COVID-19 outbreak, Wuhan has adopted three methods of admitting patients for treatment: designated hospitals, newly built temporary hospitals and Fangcang shelter hospitals. It has been proven that converting large-scale public venues such as stadiums and exhibition centres into Fangcang shelter hospitals, which serve as hospitals for isolation, treatment and disease monitoring of patients with mild symptoms, is the most effective way to control virus transmission and reduce mortality. This paper presents some experiences learnt from treating COVID-19 in Wuhan, the first city to report the outbreak and which suffered from a shortage of emergency supplies, heavy workload among staff and a shortage of hospital beds during the early stages of the pandemic. The experiences include location, accessibility, spacious outdoor area, spacious indoor space, power supply, architectural layout design and partition isolation, ventilation, sewage, and problems in the construction and management of Fangcang shelter hospitals. During the COVID-19 pandemic, traditional approaches to disaster preparedness have demonstrated intrinsic problems, such as poor economic performance, inefficiency and lack of flexibility. Converting large-scale public venues into Fangcang shelter hospitals is an important means to rapidly improve the function of the city's healthcare system during a pandemic. This valuable experience in Wuhan will help other countries in their battle against the current COVID-19 pandemic and will also contribute to disaster preparedness and mitigation in the future.

Indexed as

Coronavirus InfectionsDisaster PlanningHospitals, IsolationPandemicsPneumonia, ViralPublic FacilitiesBetacoronavirusChinaCOVID-19Disease OutbreaksEmergency ShelterHumansSARS-CoV-2epidemiologyhealth services researchhygiene

Identifiers

PMID32546589
PMCPMC7298718
OpenAlexW3035449916

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.