Evidence map›Paper›PMID 36451241›Full record

ReviewTropical diseases, travel medicine and vaccines2022

COVID-19: how can travel medicine benefit from tourism's focus on people during a pandemic?

Irmgard L Bauer

Open access · goldAbstract readReview
In one paragraph

Review in Tropical diseases, travel medicine and vaccines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

4 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Impact of COVID-19 Pandemic on Tourist Travel Risk Perception and Travel Behaviour: A Case Study of Poland.International journal of environmental research and public health · 2023
    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

1 author at 1 institution in 1 country.

Irmgard L BauerCollege of Healthcare Sciences, Academy - Tropical Health and Medicine, James Cook University, Townsville, QLD, 4811, Australia. Irmgard.Bauer@jcu.edu.au.
James Cook University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In 2020, COVID-19 affected every aspect of life around the globe. The spread of SARS-CoV-2 through travel led to lockdowns, travel bans and border closures, crippling the tourism industry. Without tourists, there would be no tourism industry-and no travel medicine. Therefore, scholars started to research the human aspect of tourism immediately to develop strategies for economic recovery. The resulting insights are useful for travel medicine not only to see how tourism dealt with a medical crisis but also to understand travellers better who may be seeking health advice during and after a pandemic.This article presents tourism research of 2020 covering risk perception and travel intentions including mass-gatherings, the use of technology to protect from infection, impacts on tourism workers, residents' reactions to potentially infected travellers, discrimination, and racism. A potential fork in the road to tourism's future may have implications for travel health practitioners. Research recommendations conclude the paper. Understanding the industry response during the early days of panic and uncertainty may help prepare not only appropriate guidelines for travellers but also clearer instructions for tourism, transportation, and hospitality in anticipation of the next pandemic.

Indexed as

DiscriminationHealth LiteracyInfectious DiseasesMass GatheringsPublic HealthResponsible TourismRisk PerceptionSARS-CoV-2Tourism Employees

Identifiers

PMID36451241
PMCPMC9713119
OpenAlexW4310566285

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.