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1.
BMC Public Health ; 23(1):64, 2023.
Article in English | PubMed | ID: covidwho-2196190

ABSTRACT

BACKGROUND: People living with HIV(PLWH) are deemed more vulnerable to the SARS-CoV-2 infection than the uninfected population. Vaccination is an effective measure for COVID-19 control, yet, little knowledge exists about the willingness of men who have sex with men (MSM) living with HIV in China to be vaccinated. METHODS: This cross-sectional study evaluated the willingness of MSM living with HIV to receive COVID-19 vaccination in six cities of Guangdong, China, from July to September 2020. Factors associated with willingness to receive COVID-19 vaccination using multivariable logistic regression. RESULTS: In total, we recruited 944 HIV-positive MSM with a mean age of 29.2 ± 7.7 years. Of all participants, 92.4% of them were willing to receive the COVID-19 vaccine. Participants who were separated, divorced, or widowed (adjusted OR: 5.29, 95%CI: 1.02-27.48), had an annual income higher than 9,000 USD (adjusted OR: 1.70, 95%CI: 1.01-2.86), had ever taken an HIV self-test (adjusted OR: 1.78, 95%CI: 1.07-2.95), had ever disclosed sexual orientation to a doctor/nurse (adjusted OR: 3.16, 95%CI: 1.33-7.50), had ever disclosed sexual orientation to others besides their male partners (adjusted OR: 2.18, 95%CI: 1.29-3.69) were more willing to receive the vaccine. Sex with a female partner in the past six months decreased the likelihood of willingness to receive the vaccine (adjusted OR: 0.40, 95%CI: 0.17-0.95). Economic burden, worry that my health condition could not bear the risk of receiving COVID-19 vaccines, and concern that the vaccination would affect the immune status and antiretroviral therapy were the main reasons for unwillingness to receive vaccination. CONCLUSION: Our study showed that HIV-positive MSM had a high willingness to receive the COVID-19 vaccination. Targeted interventions such as health education should be conducted among MSM with HIV infection to enhance COVID-19 vaccine uptake.

2.
J Health Psychol ; : 13591053221144442, 2023.
Article in English | PubMed | ID: covidwho-2195212

ABSTRACT

This study explored pandemic-related social support profiles and investigated their relationships with depressive symptoms among Chinese parents during the COVID-19 pandemic. The hypotheses were evaluated in an online cross-sectional survey of 1286 parents. Latent profile analysis identified two profiles of received social support (isolated and integrated support). Three convergent profiles (high, moderate, and low support) and one divergent profile were found in perceived social support. The results revealed that the distribution of age, region, income and educational level varied across these profiles. Only the "high" (β = -0.11, p < 0.01) and "divergent" (β = -0.12, p < 0.01) profiles of perceived social support were negatively associated with parents' depressive symptoms. These findings highlight the importance of developing better-targeted intervention programs aimed at optimizing the allocation and improving the quantity and quality of supportive resources for parents.

3.
Medicine ; 101(49):e32136, 2022.
Article in English | MEDLINE | ID: covidwho-2191105

ABSTRACT

BACKGROUND: Coronavirus disease in 2019 (COVID-19) is a sudden public event affecting all human beings, with the rapid transmission, extensive groups affected, many complications, and high mortality. Traditional Chinese Medicine has a long history of preventing and treating infectious diseases, and numerous studies have shown that Traditional Chinese Medicine, especially herbal medicine, has a positive effect on the prevention, treatment, and post-healing recovery of this COVID-19, and herbal medicines to supplement qi and blood often occupy a certain proportion of it. However, there is no relevant meta-analysis to date. Therefore, this study aims to evaluate the efficacy and safety of qi and blood tonic herbal medicines in the treatment of COVID-19 through Systematic Review and meta-analysis to provide a reference basis for widespread clinical application.

4.
Briefings in Bioinformatics ; 24:24, 2022.
Article in English | MEDLINE | ID: covidwho-2188252

ABSTRACT

Underlying medical conditions, such as cancer, kidney disease and heart failure, are associated with a higher risk for severe COVID-19. Accurate classification of COVID-19 patients with underlying medical conditions is critical for personalized treatment decision and prognosis estimation. In this study, we propose an interpretable artificial intelligence model termed VDJMiner to mine the underlying medical conditions and predict the prognosis of COVID-19 patients according to their immune repertoires. In a cohort of more than 1400 COVID-19 patients, VDJMiner accurately identifies multiple underlying medical conditions, including cancers, chronic kidney disease, autoimmune disease, diabetes, congestive heart failure, coronary artery disease, asthma and chronic obstructive pulmonary disease, with an average area under the receiver operating characteristic curve (AUC) of 0.961. Meanwhile, in this same cohort, VDJMiner achieves an AUC of 0.922 in predicting severe COVID-19. Moreover, VDJMiner achieves an accuracy of 0.857 in predicting the response of COVID-19 patients to tocilizumab treatment on the leave-one-out test. Additionally, VDJMiner interpretively mines and scores V(D)J gene segments of the T-cell receptors that are associated with the disease. The identified associations between single-cell V(D)J gene segments and COVID-19 are highly consistent with previous studies. The source code of VDJMiner is publicly accessible at https://github.com/TencentAILabHealthcare/VDJMiner. The web server of VDJMiner is available at https://gene.ai.tencent.com/VDJMiner/.

5.
Advanced Materials ; : e2210949, 2022.
Article in English | MEDLINE | ID: covidwho-2172325

ABSTRACT

Approaches capable of simultaneously treating cancer and preventing susceptible patients from lethal infections, such as coronavirus disease 2019, are highly desirable but have proven to be difficult. Here, dressing bacteria with a hybrid immunoactive nanosurface is reported to elicit dual anticancer and antiviral immunity. A combination of checkpoint blocking antibody and virus-specific antigen is covalently conjugated to polydopamine nanoparticles, which can be anchored onto bacterial surface, by a one-step in-situ polymerization of dopamine under a cell-friendly condition. By virtue of the ability to colonize and penetrate deep tumor tissue, dressed bacteria enable sustained release and expanded exposure of carried immunoactivators to stimulate immune cells. In addition to a carrier role, bacteria are able to further provoke innate immunity due to native immunogenicity of the pathogen-associated molecular patterns. Immunization with dressed bacteria promote the maturation and activation of antigen-presenting cells, which induces robust humoral and cellular immune responses in tumor-bearing mice. As evidenced by efficient production of viral antigen-specific immunoglobulin G antibody in serum and significantly suppressed tumor growth in different models, dressing bacteria with a hybrid immunoactive nanosurface paves an avenue to prepare next-generation therapeutics for synergistic treatment and prevention. This article is protected by copyright. All rights reserved.

6.
CULTURAL CHINA 2020: The Contemporary China Centre Review ; : 137-140, 2021.
Article in English | Web of Science | ID: covidwho-2170172
7.
Big Data Mining and Analytics ; 6(1):1-10, 2023.
Article in English | Scopus | ID: covidwho-2205499

ABSTRACT

Many efforts have been exerted toward screening potential drugs for targets, and conducting wet experiments remains a laborious and time-consuming approach. Artificial intelligence methods, such as Convolutional Neural Network (CNN), are widely used to facilitate new drug discovery. Owing to the structural limitations of CNN, features extracted from this method are local patterns that lack global information. However, global information extracted from the whole sequence and local patterns extracted from the special domain can influence the drugtarget affinity. A fusion of global information and local patterns can construct neural network calculations closer to actual biological processes. This paper proposes a Fingerprint-embedding framework for Drug-Target binding Affinity prediction (FingerDTA), which uses CNN to extract local patterns and utilize fingerprints to characterize global information. These fingerprints are generated on the basis of the whole sequence of drugs or targets. Furthermore, FingerDTA achieves comparable performance on Davis and KIBA data sets. In the case study of screening potential drugs for the spike protein of the coronavirus disease 2019 (COVID-19), 7 of the top 10 drugs have been confirmed potential by literature. Ultimately, the docking experiment demonstrates that FingerDTA can find novel drug candidates for targets. All codes are available at http://lanproxy.biodwhu.cn:9099/mszjaas/FingerDTA.git. © 2018 Tsinghua University Press.

9.
Gerontology ; 2022.
Article in English | PubMed | ID: covidwho-2153210

ABSTRACT

Introduction Falls have major implications for quality-of-life, independence and cost to health services. Strength and balance training has been found to be effective in reducing the rate/risk of falls, as long as there is adequate fidelity to the evidence-based programme. The aims of this study were to: (1) assess the feasibility of using the 'Motivate Me' and 'My Activity Programme' intervention to support falls rehabilitation when delivered in practice (2) assess study design and trial procedures for the evaluation of the intervention. Methods A two-arm, pragmatic feasibility randomised controlled trial was conducted with five health service providers in the UK. Patients aged 50+ years eligible for a falls rehabilitation exercise programme from community services were recruited and received either: (1) standard service with a smartphone for outcome measurement only or (2) standard service plus the 'Motivate Me' and 'My Activity Programme' apps. The primary outcome was feasibility of the intervention, study design and procedures (including recruitment rate, adherence and drop-out). Outcome measures include balance, function, falls, strength, fear of falling, health related quality of life, resource use and adherence, measured at baseline, three and six month post-randomisation. Blinded assessors collected the outcome measures. Results 24 patients were randomised to control group, 26 to intervention group, mean age 77.6 (Range 62 to 92) years. We recruited 37.5% of eligible participants across the five clinical sites. 77% in the intervention group completed their full exercise programme (including the use of the app). Response rate for outcome measures at six months were 77%-80% across outcome measures, but this was effected by the COVID19 pandemic. There was a mean 2.6 ± 1.9 point difference between groups in change in BERG balance score from baseline to three months and mean 4.4 ± 2.7 point difference from baseline to six months in favour of the intervention group. Less falls (1.8 ± 2.8 vs 9.1 ± 32.6) and less injurious falls (0.1 ± 0.5 vs 0.4 ± 0.6) in the intervention group and higher adherence scores at three (17.7 ± 6.8 vs 13.1 ± 6.5) and six months (15.3 ± 7.8 vs 14.9 ± 7.8). There were no related adverse events. Health professionals and patients had few technical issues with the apps. Conclusions The motivational apps and trial procedures were feasible for health professionals and patients. There are positive indications from outcome measures in the feasibility trial and key criteria for progression to full trial were met.

10.
Acupuncture and Herbal Medicine ; 2(3):139-42, 2022.
Article in English | PubMed Central | ID: covidwho-2161213
11.
The Lancet Regional Health - Western Pacific ; 30, 2023.
Article in English | Scopus | ID: covidwho-2131791

ABSTRACT

Background: With the outbreak of the coronavirus disease 2019 (COVID-19), nurses have won well-deserved recognition for their indispensable roles in providing humane and professional healthcare for patients. However, by the nature of their role working at the forefront of patient care, nurses are prone to experiencing mental health consequences. Therefore, we pay attention to measuring the magnitude of psychological symptoms and identifying associated factors among nurses in China. Methods: We launched a nationwide, cross-sectional survey of nurses who worked in secondary or tertiary hospitals and public or private hospitals from 30 provinces in China. The prevalence and severity of symptoms of burnout, depression, and anxiety were investigated, respectively. Multivariable logistic regression analyses were performed to identify factors associated with each psychological symptom. Findings: A total of 138 279 respondents who worked in 243 hospitals completed this survey. A substantial proportion of nurses reported symptoms of burnout (34%), depression (55·5%), and anxiety (41·8%). In line with the disproportionality of economic development, we noted that the middle or western region was an independent risk factor for depression and anxiety. Compared with those working in the secondary hospital, nurses who worked in tertiary hospitals were associated with a higher likelihood of burnout and depression. Interpretation: Nurses are experiencing emotional, physical, and mental exhaustion during the COVID-19 epidemic. Governments and health policymakers need to draw attention to reinforcing prevention and ameliorating countermeasures to safeguard nurses' health. Funding: The strategic consulting project of the Chinese Academy of Engineering [2021-32-5]. Advanced Institute of Infomation Technology, Peking University, Zhejiang Province [2020-Z-17] © 2022 The Author(s)

12.
Emergency and Critical Care Medicine ; 1(1):29-36, 2021.
Article in English | Scopus | ID: covidwho-2097480

ABSTRACT

Background: This study aimed to investigate the clinical characteristics of 21 deaths and evaluate potential factors affecting disease severity and mortality risk in patients with coronavirus disease (COVID-19). Methods: This retrospective analysis assessed clinical data of 21 patients who died owing to COVID-19. Disease severity and mortality risk were assessed using Acute Physiology and Chronic Health Evaluation II (APACHE II);Sepsis-related Organ Failure Assessment (SOFA);multilobular infiltration, hypo-lymphocytosis, bacterial coinfection, smoking history, hypertension and age (MuLBSTA);and pneumonia severity index (PSI) scores. Results: The mean age of the patients was 66 ± 14 years and 15 (71.4%) patients were men. Sixteen (76.2%) patients had chronic medical illnesses. Twelve (57.1%) patients were overweight. Decreased lymphocyte proportions were observed in 17 (81.0%) patients on admission. Elevated D-dimer levels were observed in 11 (52.4%) patients, and the levels significantly increased when pneumonia deteriorated. The initial APACHE II and SOFA scores demonstrated that 18 (85.7%) and 13 (61.9%) patients, respectively, were in the middle-risk level. MuLBSTA and PSI scores after admission were associated with higher risks of mortality in 13 (61.9%) patients. Most patients developed organ failure and subsequently died. Conclusions: Older, overweight, male patients with a history of chronic illnesses and continuously decreased lymphocyte proportions and increased D-dimer levels might have higher risks of death owing to COVID-19. The combination of general scoring (SOFA) and pneumonia-specific scoring (MuLBSTA and PSI) systems after admission might be sensitive in assessing the mortality risk of patients with COVID-19 who are in critical condition. Copyright © 2021 Shandong University, published by Wolters Kluwer, Inc.

13.
Int J Tuberc Lung Dis ; 26(10): 922-928, 2022 10 01.
Article in English | MEDLINE | ID: covidwho-2056115

ABSTRACT

BACKGROUND Despite growing concern regarding the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) delta variant of concern (VOC), the respiratory and physical functions of patients with delta VOC post-discharge have not been investigated compared to those of patients with ancestral SARS-CoV-2.METHODS Sixty-three discharged patients with coronavirus disease (COVID-19) were included. Patients were divided into delta VOC and ancestral SARS-CoV-2 groups. On Day 14 post-discharge, differences in chest computed tomography, modified Medical Research Council and Borg Dyspnoea Scale scores, and Manual Muscle Test scores were compared. Prognoses of respiratory and physical function were compared between patients who recovered from moderate and severe COVID-19.RESULTS Of the 63 patients, respectively 28 and 35 were in the delta VOC and ancestral SARS-CoV-2 groups. On Day 14 post-discharge, 35 patients (56.5%) had abnormalities on imaging. Visual semi-quantitative scores of both lungs were significantly higher in the severe group. However, there was no difference in this or any other score ratings between the groups.CONCLUSION At 14 days post-discharge, ground glass opacities and pleural thickening were the most common residual findings; no difference in respiratory and physical functions during the convalescence period were noted in patients with SARS-CoV-2 delta VOC and ancestral SARS-CoV-2.


Subject(s)
COVID-19 , SARS-CoV-2 , Aftercare , Humans , Patient Discharge
14.
Political, Economic And Social Dimensions Of Labour Markets: A Global Insight ; : 277-299, 2022.
Article in English | Scopus | ID: covidwho-2053305

ABSTRACT

This chapter examines the impact of some economic and financial variables on the employment change covering the period of Covid-19 in China. We apply the annual data of China during the period of 1989-2019 by building a long-term model and find that industrial upgrading and economically active population cause economic development, along with the increase of unemployment population. The results show a reverse change in variables of GDP and registered unemployed persons in urban areas. We then apply the quarterly data of 2019-2020 by constructing a short-term model and find that GDP and unemployment conditions still show a reverse change. Because of the lag effect, the increase in national financial expenditure is not associated with a slowdown in the employment market;a rise in GDP or business prosperity is consistent with a fall in unemployment. The Vector Autoregression Model thus provides an empirical prediction of recovery in labour markets of China. © 2022 World Scientific Publishing Company.

15.
Ieee Access ; 10:86696-86709, 2022.
Article in English | Web of Science | ID: covidwho-2005084

ABSTRACT

BPMN process models have been widely used in software designs. The BPMN process models are characterized by a static graph-oriented modeling language and a lack of analytical capabilities as well as dynamic behavior verification capabilities, which not only leads to inconsistencies in the semantics of the BPMN process models, but also leads to a lack of model error detection capabilities for the BPMN process models, which also hinders the correctness verification and error correction efforts of the models. In this study, we propose an executable modeling approach for CPN-based data flow well-structured BPMN (dw-BPMN) process models, and consider both control-flow and data-flow perspectives. First, we present a formal definition of the dw-BPMN process model, which is formally mapped into a CPN executable model in three steps: splitting, mapping and combining. Then, we discuss four types of data flow errors that can occur in the model: missing, lost, redundant, and inconsistent data error. To detect these four data flow errors, we propose a detection method based on the execution results of the CPN model. Subsequently, we propose correction strategies for these four data flow errors. Finally, a dw-BPMN process model of a robot's temperature detection system for COVID-19 prevention and control in a kindergarten was used as an example to verify the validity of the method.

16.
Environmental Science-Nano ; : 10, 2022.
Article in English | Web of Science | ID: covidwho-1978025

ABSTRACT

Since the emergence of coronavirus disease 2019 (COVID-19), this highly contagious disease has ravaged the world, cumulatively causing millions of deaths and huge economic losses. As the culprit of COVID-19, severe acute respiratory syndrome beta-coronavirus 2 (SARS-CoV-2) is highly infectious and pathogenic, which has caused extreme panic worldwide. Early and rapid monitoring of SARS-CoV-2 has a significant role in suppressing the pandemic and reducing the virus's lethality. In our work, we prepared a self-enhanced ruthenium complex linked to zeolitic imidazole framework-8 (ZIF-8) and used it as an electrochemiluminescence (ECL) emitter. Additionally, a double-stranded specific nuclease (DSN)-assisted target RNA cycling with catalytic hairpin assembly (CHA) signal amplification technology was used to achieve the conversion of target RNA concentration to double-stranded DNA (dsDNA) output which significantly improved the detection sensitivity of target RNA under environmental conditions and in real human serum samples. In addition, we also combined the trans-cleavage property of CRISPR-Cas12a with the adsorption property of C3N4 on a ferrocene (Fc)-labeled DNA probe and obtained target RNA-dependent ECL signals. The reliable detection protocol achieved the transformation of SARS-CoV-2 RNA concentration to ECL responses, obtaining a limit of detection (LOD) of 0.67 fM with high specificity and reproducibility, which was of guiding significance for current detection methods of mutant SARS-CoV-2 and universal RNA.

17.
2021 International Conference on Computer Application and Information Security, ICCAIS 2021 ; 12260, 2022.
Article in English | Scopus | ID: covidwho-1923089

ABSTRACT

In this paper, a monitoring system based on thermopile array sensors is designed for real-time refreshing of thermograms in a web interface. To address the problem of inconspicuous heat map of the main target caused by the interference of the detection environment and the small temperature difference between the target to be measured and the background, a dynamic color mapping processing scheme is proposed to make the heat map of the main target displayed more clearly by continuously adjusting the contrast between the main target and the background color. The experimental results show that the method can achieve dynamic refreshing of the thermogram through a multi-device browser, the correlation of measurement data is greater than 85% compared to handheld thermometers, and the effective transmission distance is about 30m in open range, which can effectively enhance the portability and safety of staff during COVID-19 temperature screening. © The Authors.

18.
FRONTIERS IN ENVIRONMENTAL SCIENCE ; 10, 2022.
Article in English | Web of Science | ID: covidwho-1911031

ABSTRACT

After the COVID-19 pandemic began in 2020, Urumqi, a remote area in northwest China, experienced two lockdowns, in January and July 2020. Based on ground and satellite observations, this study assessed the impacts of these lockdowns on the air quality in Urumqi and the seasonal differences between them. The results showed that, during the wintertime lockdown, PM10, PM2.5, NO2, CO, and SO2 levels decreased by 38, 40, 45, 27, 8%, respectively, whereas O-3 concentrations increased by 113%. During the summer lockdown, PM10, PM2.5, NO2, CO, and SO2 levels decreased by 39, 24, 59, 2, and 13%, respectively, and the O-3 concentrations increased by 21%. During the lockdowns, the NO2 concentrations decreased by 53% in winter and 13% in summer in the urban areas, whereas they increased by 23% in winter and 9% in summer in the suburbs. Moreover, large seasonal differences were observed between winter and summer SO2, CO, and O-3. The lockdown played a vital role in the rapid decline of primary air pollutant concentrations, along with fewer meteorological impacts on air pollution changes in this area. The increase in O-3 concentrations during the COVID-19 lockdowns reflects the complexity of air quality changes during reductions in air pollutant emissions.

19.
Chinese Journal of Radiology (China) ; 56(4):377-384, 2022.
Article in Chinese | EMBASE | ID: covidwho-1896938

ABSTRACT

Objective To explore the application value of CT pulmonary function imaging in patients with Coronavirus Disease 2019 (COVID‑19) in the convalescent phase. Methods The COVID‑19 patients who were clinically cured and discharged from Union Hospital, Tongji Medical College, Huazhong University of Science and Technology were prospectively collected from January to April 2020. Clinical pulmonary function tests (PFTs) and CT pulmonary function imaging were performed 3 months after discharge. The Philips IntelliSpace Portal image post‑processing workstation was used to obtain the paired inspiratory‑expiratory CT quantitative indexes of the whole lung, left lung, right lung and five lobes. The patients were divided into two groups according to whether residual lesions remain in inspiratory CT images: non‑residual lesion group and residual lesion group. The chi‑square test was used to compare the differences in the PFT results between groups;the Mann‑Whitney U test was used to compare the differences in PFT indexes [forced expiratory volume in the first second as percentage of predicted value (FEV1%), FEV1/forced vital capacity (FEV1/FVC), total lung capacity as percentage of predicted value (TLC%), FVC% ] and the differences in quantitative CT indexes [lung volume (LV), mean lung density (MLD), volume change in inspiratory phase and expiratory phase (∆ LV)] between groups. Multiple linear regression was used to analyze the relationship between CT pulmonary function imaging and PFT indexes of convalescent COVID‑19 patients. Results Of the 90 patients with COVID‑19, 35 were males and 55 were females;45 were included in the non‑residual lesion group and 45 were included in the residual lesion group. Fifty‑three patients had clinical pulmonary dysfunction 3 months after discharge, including 22 patients in the non‑residual lesion group and 31 patients in the residual lesion group. In patients with residual disease, left lower lobe and right lower lobe LV, left lower lobe and right lower lobe ∆ LV in the inspiratory and expiratory phase were smaller than those without residual disease;whole lung, left lung, right lung, left upper lobe, left lower lobe and right lower lobe MLD in the inspiratory phase and left lower lobe and right lower lobe MLD in the expiratory phase were greater than those without residual disease (P<0.05). Since there was no significant difference in FEV1/FVC and FVC% between residual and non‑residual lesion groups (P>0.05), FEV1/FVC and FVC% of two groups were combined. Multiple linear regression analysis showed FEV1/FVC= 91.765-0.016×LVin‑right middle lobe+0.014×MLDex‑left lower lobe (R2 =0.200, P<0.001), FVC% =-184.122-0.358× MLDin‑right lung-0.024× ∆ LVleft upper lobe (R2 =0.261, P<0.001). There was significant difference in TLC% between residual and non‑residual lesion groups (P<0.05), so multiple linear regression analysis was performed both in the two groups. In the non‑residual lesion group, TLC% =80.645+0.031× (R2 =0.132, P<0.001);In the residual lesion group, TLC% =-110.237-0.163× LVex‑right lower lobe MLDin‑right upper lobe-0.098×MLDex‑left upper lobe -0.025×LVex‑right lower lobe (R2 =0.473, P<0.001). Conclusion CT pulmonary function imaging can quantitatively analyze the whole lung, unilateral lung and lobulated lung, thus reflecting the regional pulmonary function, providing more valuable diagnostic information for the assessment of ulmonar function in convalescent atients with COVID‑19

20.
Journal of Modelling in Management ; : 14, 2022.
Article in English | Web of Science | ID: covidwho-1886567

ABSTRACT

Purpose This study aims to investigate the impact of travel advisory perception and cultural distance on travel intention based on the push and pull theory, the stimulus-organism-response model and protection motivation theory. Design/methodology/approach The paper conducts an empirical test with a questionnaire survey. The authors asked respondents to answer questions on a five-point Likert-type scale, which included threat severity, threat susceptibility, advisory perception, perceived cultural distance, travel motivation and travel intention. Findings In this paper, through a questionnaire of 424 respondents, the authors found that threat severity has a positive impact on advisory perception and perceived cultural distance, and that advisory perception indirectly affect travel intention through travel motivation. Originality/value Previous literature has discussed the influencing factors of travel intention but rarely does it consider the intrinsic relationship and interaction between advisory perception and cultural distance. The results of this study help fill some gaps in the research on advisory perception and perceived cultural distance, guide governments on how to better formulate travel advisories and provide a new perspective for tourism industry practitioners to improve their travel products after the COVID-19 pandemic especially.

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