ReviewRisk management and healthcare policy2023
Enhancing Literature Review and Understanding Under Global Pandemic.
Review in Risk management and healthcare policy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Deep learning model for hair artifact removal and Mpox skin lesion analysis and detection.Scientific reports · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
As the continuous public health crisis, the communicable diseases of COVID-19, OMI and Monkeybox fallout are striking parallels to the whole world. The scope and duration of these disasters are unprecedented. The tourism industry has become one of the hit hardest industries, and research on tourism risks and safety of public health are more of big concerns in recent years. In this study, 751 SSCI articles on risk and tourism from 2008 to 2022 were selected through literature retrieval using the Web of Science core collection database, and visual analysis was performed using CiteSpace to show the knowledge evolution process, research hotspots and future trends in this field. The analysis results show that there has been an overall upward trend in the number of research studies on risk and tourism in the past 15 years. Secondly, there is an international trend toward cooperation between scholars. The main cooperation network centers are Australia, England, the United States and China. In addition, there are seven main clusters of research topics in the field of risk and tourism. Finally, the change of research hotspots is also closely related to catastrophic events. After the outbreak of the COVID-19, public health and the recovery of the tourism industry has attracted more and more scholars' attention. By examining and analyzing the research content of risk, public health and tourism studies over the past 15 years, this study provides suggestions for the risk management of tourism and tries to predict the new development trend of tourism in the post-COVID-19 era.
Indexed as
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What OpenQuestion holds
Registered trials
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.