Evidence map›Paper›PMID 36012026›Full record

ArticleInternational journal of environmental research and public health2022

Conceptual Design of the "Private Car" Self-Isolation Ecosystem for the 2019-nCoV Infection.

Yudong Wang, Lanting Wang, Xinggui Wu, Ziyi Ding, Wanbo Zheng, Xingxing Liang, Huaming An

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. Article
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

7 authors.

Yudong WangFaculty of Public Security and Emergency Management, Kunming University of Science and Technology, Kunming 650000, China.
Lanting WangFaculty of Public Security and Emergency Management, Kunming University of Science and Technology, Kunming 650000, China.
Xinggui WuFaculty of Public Security and Emergency Management, Kunming University of Science and Technology, Kunming 650000, China.
Ziyi DingFaculty of Public Security and Emergency Management, Kunming University of Science and Technology, Kunming 650000, China.
Wanbo ZhengFaculty of Public Security and Emergency Management, Kunming University of Science and Technology, Kunming 650000, China.
Xingxing LiangFaculty of Public Security and Emergency Management, Kunming University of Science and Technology, Kunming 650000, China.
Huaming AnFaculty of Public Security and Emergency Management, Kunming University of Science and Technology, Kunming 650000, China.ORCID 0000-0003-2254-2276

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since the beginning of the COVID-19 outbreak, confirmed and suspected cases of the disease have been increasing rapidly. The isolation of cases is one of the most effective methods for the control and containment of COVID-19 and has been rapidly popularized. Problems with isolation have gradually emerged, such as the inadequate allocation of isolation resources and the failure to properly resettle many of the suspected cases of the 2019-nCoV infection. In this paper, a self-isolation ecosystem of a rapid-deploying negative-pressurized "private car" is proposed for housing patients with 2019-nCoV infection, which could be lightweight, moderately sized and transparent to enable group supervision and communication. This "private car" isolation method aims to achieve self-isolation of patients and essentially solves the problem of where and how to isolate suspected cases while saving isolation resources and preventing the large-scale transmission of COVID-19.

Indexed as

COVID-19AutomobilesDisease OutbreaksEcosystemHumansSARS-CoV-2COVID-19isolation methodself-isolation

Identifiers

PMID36012026
PMCPMC9407860

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.