Evidence map›Paper›PMID 34722371›Full record

ReviewIranian journal of public health2021

The Post Pandemic Revitalization Plan for the Medical Tourism Sector in South Korea: A Brief Review.

Byung-Ro Seo, Kyoung-Lee Kim

Open access · goldAbstract readReview
In one paragraph

Review in Iranian journal of public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

2 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. 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

2 authors at 1 institution in 1 country.

Byung-Ro SeoKorea Department of Global MICE, Konkuk University, Seoul, Korea.
Kyoung-Lee KimAsia Contents Institute, Konkuk University, Seoul, Korea.
Konkuk University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The significant impacts of recent infectious diseases (MERS, COVID-19) demand fundamental changes and alternatives in different markets, such as tourism and the medical tourism industry. In this study, we aimed to have a historical investigation on how infectious diseases have affected the tourism industry in Korea, to reach practical implications for managing the medical tourism sector. The impact of global infectious diseases, including MERS, and COVID-19, on the tourism industry was studied in South Korea. First, the available information was collected to clarify how these two outbreaks have impacted the tourism market in South Korea, and then the government's countermeasures were studied. Investigating among the policies resulted in practical implications for the post-pandemic revitalizing plan for the medical tourism market. The infectious outbreak caused a significant decrease in the number of inbound tourists to South Korea, moreover, the crisis response system of the government has been useful so far. Hence, several practical implications can be achieved for the medical tourism market. A framework is suggested which involves 5 stages of strategies to revitalize medical tourism market. It presents remedies to revitalize the medical tourism industry and to enter the global market again. Korea's quarantine model, which succeeded in preventing COVID-19, can be a preemptive response to another pandemic in the future. The medical tourism industry policy based on Korea's quarantine model will contribute to the revitalization of the international medical tourism industry after COVID-19.

Indexed as

COVID-19Global infectionMedical policyMedical tourismTourism

Identifiers

PMID34722371
PMCPMC8542822
OpenAlexW3196832905

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.