Evidence map›Paper›PMID 34469468›Full record

ReviewPloS one2021

Effect of Covid-19 pandemic on tourist travel risk and management perceptions.

Muhammad Khalilur Rahman, Md Abu Issa Gazi, Miraj Ahmed Bhuiyan, Md Atikur Rahaman

Abstract readReview
In one paragraph

Review in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Negative health impact of tourists through pandemic: hospitality sector perspective.Tourism and hospitality research : the Surrey quarterly review · 2023
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

4 authors.

Muhammad Khalilur RahmanFaculty of Entrepreneurship and Business, Universiti Malaysia Kelantan, Pengkalan Chepa, Malaysia.ORCID 0000-0001-9057-9121
Md Abu Issa GaziSchool of E-Commerce, Jiujiang University, Jujiang, Jiangxi, China.
Miraj Ahmed BhuiyanSchool of Economics, Guangdong University of Finance and Economics, Guangzhou, China.
Md Atikur RahamanSchool of Management, Jiujiang University, Jujiang, Jiangxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aims to explore the impact of the Covid-19 pandemic on tourists' travel risk and management perceptions. Driven on the effect of the pandemic, we investigate tourists' travel risk and management perceptions and its effect on society using a sample of 716 respondents. The data was collected through social media platforms using a representative sampling method and analyzed applying the PLS-SEM tool. The findings reveal that Covid-19 pandemic has greatly affected travel risk and management perceptions. Travel risk and management perception had a significant association with risk management, service delivery, transportation patterns, distribution channels, avoidance of overpopulated destinations, and hygiene and safety. The results also identified the mediating effect of travel risk and management perceptions. The finding of this study contributes to tourism crises and provides future research insights in the travel and tourism sector and response to change tourists' travel risk and management perceptions in the post-covid recovery period.

Indexed as

COVID-19PandemicsSARS-CoV-2TourismFemaleHumansMale

Identifiers

PMID34469468
PMCPMC8409625

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.