Evidence map›Paper›PMID 33478558›Full record

ReviewGlobalization and health2021

COVID-19 and healthcare system in China: challenges and progression for a sustainable future.

Shuangyi Sun, Zhen Xie, Keting Yu, Bingqian Jiang, Siwei Zheng, Xiaoting Pan

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Globalization and health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 77 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
77citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

77 citing papers in PubMed, 1 synthesis or guideline pooled it.

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17 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

6 authors.

Shuangyi Sun *Wenzhou Medical University, Wenzhou, 325035, Zhejiang Province, China.
Zhen Xie *Wenzhou Medical University, Wenzhou, 325035, Zhejiang Province, China.
Keting Yu *Wenzhou Medical University, Wenzhou, 325035, Zhejiang Province, China.
Bingqian JiangWenzhou Medical University, Wenzhou, 325035, Zhejiang Province, China.
Siwei ZhengWenzhou Medical University, Wenzhou, 325035, Zhejiang Province, China.
Xiaoting PanWenzhou Medical University, Wenzhou, 325035, Zhejiang Province, China. xiaotingpan@126.com.

Funding

National College Students Innovation and Entrepreneurship Training Program 201810343007Wenzhou Municipal Science and Technology Bureau S20190024
6 · The paper itself

Abstract

With the ongoing COVID-19 outbreak, healthcare systems across the world have been pushed to the brink. The approach of traditional healthcare systems to disaster preparedness and prevention has demonstrated intrinsic problems, such as failure to detect early the spread of the virus, public hospitals being overwhelmed, a dire shortage of personal protective equipment, and exhaustion of healthcare workers. Consequently, this situation resulted in manpower and resource costs, leading to the widespread and exponential rise of infected cases at the early stage of the epidemic. To limit the spread of infection, the Chinese government adopted innovative, specialized, and advanced systems, including empowered Fangcang and Internet hospitals, as well as high technologies such as 5G, big data analysis, cloud computing, and artificial intelligence. The efficient use of these new forces helped China win its fight against the virus. As the rampant spread of the virus continues outside China, these new forces need to be integrated into the global healthcare system to combat the disease. Global healthcare system integrated with new forces is essential not only for COVID-19 but also for unknown infections in the future.

Indexed as

Artificial IntelligenceChinaCOVID-19Disaster PlanningDisease OutbreaksGovernmentHealth PersonnelHumansCOVID-19Epidemic: healthcare systemHigh-techInternet hospitals: post-epidemic era

Identifiers

PMID33478558
PMCPMC7819629

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.