Evidence map›Paper›PMID 35174120›Full record

ArticleFrontiers in public health2022

Coupling Coordination and Spatiotemporal Dynamic Evolution Between Medical Services and Tourism Development in China.

Shaogui Xu, Yifan Zuo, Rob Law, Mu Zhang, Jiayu Han, Gaopeng Li, Juewei Meng

Abstract read
In one paragraph

Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. 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.

Shaogui XuSchool of Management, Jinan University, Guangzhou, China.
Yifan ZuoSchool of Management, Jinan University, Guangzhou, China.
Rob LawDepartment of Integrated Resort and Tourism Management, Faculty of Business Administration, Asia-Pacific Academy of Economics and Management, University of Macau, Macau, China.
Mu ZhangShenzhen Tourism College, Jinan University, Shenzhen, China.
Jiayu HanShenzhen Tourism College, Jinan University, Shenzhen, China.
Gaopeng LiGraduate School of Guangxi Medical University, Nanning, China.
Juewei MengSchool of Acupuncture and Massage, Guangxi University of Chinese Medicine, Nanning, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This work constructs an evaluation index system and quantitatively explores the coupling coordination relationship between the tourism development system and the medical services system in China. Results show that the degree of coupling coordination between the tourism development system and the medical services system showed a good upward trend in China during the period 2012-2019. However, the relationship was barely balanced, with tourism development lagging. The overall layout shows a spatial pattern of "high in the north and low in the south, high in the east and low in the west." The degree of coupling coordination tends to be randomly distributed from clustered distribution, and the cold-hot spots show a spatial development pattern of "cold in the northwest and hot in the southeast" as time passes. The power of government to regulate has always been an important mechanism affecting the degree of coupling coordination. The study aims to provide reference for the rationalization of medical tourism layout and sustainable development.

Indexed as

Economic DevelopmentChinaGovernmentHumansTourismChinacoupling coordination degree model (CCDM)geodetectormedical servicesspatiotemporal dynamic evolutiontourism developmenttrend surface analysis

Identifiers

PMID35174120
PMCPMC8841681

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.