Evidence map›Paper›PMID 36124249›Full record

ArticleJournal of environmental and public health2022

Big Data Enabled the Development of Public Sports Health Emergency Corpus: Taking MACPHE as an Example.

Hongjing Cui, Huican Zhang, Deng Pan, Bing Zhao

RetractedAbstract readRetracted Publication
In one paragraph

Article in Journal of environmental and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Hongjing CuiSchool of Foreign Languages, Harbin University, Harbin 150086, China.ORCID 0000-0002-1979-1872
Huican ZhangCollege of Urban and Environmental Sciences, Central China Normal University, Wuhan 430079, China.
Deng PanSchool of Foreign Languages, Hubei University of Science and Technology, Xianning 437100, China.ORCID 0000-0001-8453-2765
Bing ZhaoSchool of Humanities, Huzhou University, Huzhou, 313000, China.ORCID 0000-0003-2645-2817

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aims to make public sports health emergency corpus as a way to deal with public health emergency such as COVID-19, reducing the losses affected by an illness or health condition that has occurred frequently in recent years. On this basis, this paper analyzes the research status of emergency language services at home and abroad, discusses the significance and principles of Multimodal Aligned Corpus Public Health Emergency (shorted for MACPHE) construction, and develops technical processing paths and building procedures for MACPHE. Finally, it was emphasized that the construction of MACPHE and emergency language resources are important parts of the national language service capacity. Furthermore, on the basis of big data, a modal architecture of MACPHE was given and analyzed in the field of public health service.

Indexed as

COVID-19SportsBig DataHumansPublic Health

Identifiers

PMID36124249
PMCPMC9482519

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.