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1.
Front Psychol ; 13: 809520, 2022.
Article in English | MEDLINE | ID: covidwho-1879476

ABSTRACT

The unprecedented public panic caused by COVID-19 will affect the recovery of tourism, especially the theme parks, which are generally crowded due to high visitor volume. The purpose of this study is to discuss the effect of the COVID-19 on the theme park industry. This study aims to predict recommendation intentions of theme park visitors by exploring the complicated mechanism derived from the fear of COVID-19. This study uses a quantitative research method, and SPSS 20.0 and AMOS 22.0 were used for data analysis. An online survey was conducted with 420 Chinese respondents who visited Shanghai Disneyland after its reopening. The study explored the relationship between Fear of COVID-19, perceived risk, participation, service experience, and revisit intention. Results indicated the perceived risk of theme park visitors will not directly ruin their recommendation intention. Visitors' fear of COVID-19 enhanced their perceived risk, reduced their desire for active participation and impaired their service experience, which consequently affected their recommendation intention. We provide theoretical and managerial implications.

2.
Genes (Basel) ; 13(5)2022 May 19.
Article in English | MEDLINE | ID: covidwho-1875531

ABSTRACT

The growing demand for and supply of meat and meat products has led to a proportional increase in cases of meat adulteration. Adulterated meat poses serious economic and health consequences globally. Current laboratory methods for meat species identification require specialized equipment with limited field applications. This study developed an inexpensive, point-of-care Loop-Mediated Isothermal Amplification (LAMP)-CRISPR/Cas12a colorimetric assay to detect meat species using a Texas Red-labelled single-strand (ssDNA) reporter. As low as 1.0 pg/µL of the porcine NADH4, the chicken NADH dehydrogenase subunit 2 (ND2) and the duck D-loop genes was detectable under white, blue and ultraviolet light. The test turnaround time from DNA extraction to visualization was approximately 40 min. The assay accurately detected pure and mixed-meat products in the laboratory (n = 15) and during a pilot point-of-care test (n = 8) in a food processing factory. The results are 100% reproducible using lateral flow detection strips and the real-time PCR detection instrument. This technology is fully deployable and usable in any standard room. Thus, our study demonstrates that this method is a straightforward, specific, sensitive, point-of-care test (POCT) adaptable to various outlets such as customs, quarantine units and meat import/export departments.


Subject(s)
Meat Products , Animals , Chickens/genetics , Ducks , Meat/analysis , Point-of-Care Testing , Swine
3.
Infect Drug Resist ; 15: 2371-2381, 2022.
Article in English | MEDLINE | ID: covidwho-1822312

ABSTRACT

Background: Since the outbreak of coronavirus disease (COVID-19) in December 2019 in Wuhan, it has spread rapidly worldwide. We aimed to establish and validate a nomogram that predicts the probability of coronavirus-associated acute respiratory distress syndrome (CARDS). Methods: In this single-centre, retrospective study, 261 patients with COVID-19 were recruited using positive reverse transcription-polymerase chain reaction tests for severe acute respiratory syndrome coronavirus 2 in Tongji Hospital at Huazhong University of Science and Technology (Wuhan, China). These patients were randomly distributed into the training cohort (75%) and the validation cohort (25%). The factors included in the nomogram were determined using univariate and multivariate logistic regression analyses based on the training cohort. The area under the receiver operating characteristic curve (AUC), consistency index (C-index), calibration curve, and decision curve analysis (DCA) were used to evaluate the efficiency of the nomogram in the training and validation cohorts. Results: Independent predictive factors, including fasting plasma glucose, platelet, D-dimer, and cTnI, were determined using the nomogram. In the training cohort, the AUC and concordance index were 0.93. Similarly, in the validation cohort, the nomogram still showed great distinction (AUC: 0.92) and better calibration. The calibration plot also showed a high degree of agreement between the predicted and actual probabilities of CARDS. In addition, the DCA proved that the nomogram was clinically beneficial. Conclusion: Based on the results of laboratory tests, we established a predictive model for acute respiratory distress syndrome in patients with COVID-19. This model shows good performance and can be used clinically to identify CARDS early. Trial Registration: Ethics committee of Ruijin Hospital, Shanghai Jiao Tong University School of Medicine (No.:(2020) Linlun-34th).

4.
J Infect Public Health ; 15(6): 609-614, 2022 Apr 29.
Article in English | MEDLINE | ID: covidwho-1814760

ABSTRACT

BACKGROUND: Despite substantial resources deployed to curb SARS-CoV-2 transmission, controlling the COVID-19 pandemic has been a major challenge. New variants of the virus are frequently emerging leading to new waves of infection and re-introduction of control measures. In this study, we assessed the effectiveness of containment strategies implemented in the early phase of the pandemic. METHODS: Real-world data for COVID-19 cases was retrieved for the period Jan 1 to May 1, 2020 from a number of different sources, including PubMed, MEDLINE, Facebook, Epidemic Forecasting and Google Mobility Reports. We analyzed data for 18 countries/regions that deployed containment strategies such as travel restrictions, lockdowns, stay-at-home requests, school/public events closure, social distancing, and exposure history information management (digital contact tracing, DCT). Primary outcome measure was the change in the number of new cases over 30 days before and after deployment of a control measure. We also compared the effectiveness of centralized versus decentralized DCT. Time series data for COVID-19 were analyzed using Mann-Kendall (M-K) trend tests to investigate the impact of these measures on changes in the number of new cases. The rate of change in the number of new cases was compared using M-K z-values and Sen's slope. RESULTS: In spite of the widespread implementation of conventional strategies such as lockdowns, travel restrictions, social distancing, school closures, and stay-at-home requests, analysis revealed that these measures could not prevent the spread of the virus. However, countries which adopted DCT with centralized data storage were more likely to contain the spread. CONCLUSIONS: Centralized DCT was more effective in containing the spread of COVID-19. Early implementation of centralized DCT should be considered in future outbreaks. However, challenges such as public acceptance, data security and privacy concerns will need to be addressed.

5.
Transl Vis Sci Technol ; 11(3): 22, 2022 03 02.
Article in English | MEDLINE | ID: covidwho-1799157

ABSTRACT

Purpose: Advanced driver assistance systems (ADAS) have been reported to improve the safety of elderly and normally sighted drivers. The purpose of this study was to assess exposure to, perceived safety of, comfort level with, and interest in using ADAS among drivers with age-related macular degeneration (AMD). Methods: Current drivers aged 60+ years were recruited at four US sites to complete a survey about ADAS and driving habits. Frequency of use and/or perceptions of eight ADAS were investigated. An avoidance score was generated using questions about difficult driving situations. Results: The survey was completed by 166 participants (80 with AMD vs. 86 without). Participants with AMD had worse self-rated vision than those without (34% vs. 2% poor or fair rating), and drove fewer weekly miles (median [interquartile range [IQR] 30 [15 to 75] vs. 60 [30 to 121] miles, P = 0.002). Participants with AMD reported more avoidance of difficult driving situations (P < 0.001). There was no difference in the number of ADAS used by AMD status (median [IQR for AMD = 2.5 [1 to 5] vs. 3 [2 to 4] without, P = 0.87). Greater reported number of ADAS used was associated with less avoidance of difficult situations (P = 0.02). The majority perceived improved safety with most ADAS. Conclusions: Many drivers with AMD utilize common ADAS, which subjectively improve their road safety and may help to reduce self-imposed restrictions for difficult situations and mileage. Translational Relevance: Drivers with AMD are adopting readily available ADAS, for which they reported potential benefits, such as safety and less restrictive driving.


Subject(s)
Automobile Driving , Macular Degeneration , Accidents, Traffic , Aged , Humans , Macular Degeneration/therapy , Surveys and Questionnaires
6.
Geo Journal of Tourism and Geosites ; 41(2):387-392, 2022.
Article in English | ProQuest Central | ID: covidwho-1786586

ABSTRACT

The aim of this research is to examine tourists' travel behaviour using the extended theory of planned theory (TPB). Two research questions were proposed. First, what are the factors affecting tourists' attitude toward travel after COVID-19? Second, what are the factors affecting tourists' behavioral intention to travel after COVID-19? Finally, what are the boundary conditions on the relationships for the research model? A cross-sectional survey involving 132 Hong Kong participants was conducted in March 2021. A pilot test was carried out to refine the wordings of questions beforehand. It was found that perceived psychological risk and safety climate were associated with subjective norm. Protection motivation and subjective norms were associated with tourists' attitude toward travel. Behavioral intention to travel was affected by attitude towards travel and Resilience via p erceived behavioral control. It was also found that protection motivation was associated with attitude toward travel in mature people but not the young age group. Also, protection motivation was associated with attitude towards travel only in female group.

7.
Journal of Hospitality & Tourism Education ; : 1-13, 2022.
Article in English | Taylor & Francis | ID: covidwho-1784180
9.
Pathogens ; 11(3)2022 Feb 24.
Article in English | MEDLINE | ID: covidwho-1760794

ABSTRACT

Schistosomiasis japonica caused by the trematode flukes of Schistosoma japonicum was one of the most grievous infectious diseases in China in the mid-20th century, while its elimination has been placed on the agenda of the national strategic plan of healthy China 2030 after 70 years of continuous control campaigns. Diagnostic tools play a pivotal role in warfare against schistosomiasis but must adapt to the endemic status and objectives of activities. With the decrease of prevalence and infection intensity of schistosomiasis in human beings and livestock, optimal methodologies with high sensitivity and absolute specificity are needed for the detection of asymptomatic cases or light infections, as well as disease surveillance to verify elimination. In comparison with the parasitological methods with relatively low sensitivity and serological techniques lacking specificity, which both had been widely used in previous control stages, the molecular detection methods based on the amplification of promising genes of the schistosome genome may pick up the baton to assist the eventual aim of elimination. In this article, we reviewed the developed molecular methods for detecting S. japonicum infection and their application in schistosomiasis japonica diagnosis. Concurrently, we also analyzed the chances and challenges of molecular tools to the field application process in China.

11.
Int J Environ Res Public Health ; 19(6)2022 03 14.
Article in English | MEDLINE | ID: covidwho-1753482

ABSTRACT

Hong Kong is an international city where almost all the companies did not have a WFH policy before the pandemic since it is a very small place. During the pandemic period, Hong Kong governments, major banks and large private organizations have adopted WFH policy. The purpose of this article is to examine impact of work from home (WFH) practice on work engagement with the company during the pandemic period in Hong Kong. According to a stimulus-organism-response model, this study explores the dark side the WFH arrangement during the pandemic period. Convenience sampling method was used to collect 206 valid responses from individuals who were working from home in Hong Kong. Partial least squares structural equation modelling (PLS-SEM) was used in the analysis of data. It was found that teamwork climate is negatively associated with physical isolation and sense of belonging is negatively associated with psychological isolation. Work engagement was impaired. Affective social presence may not be so easily established through virtual ways. Virtual informal gatherings, such as virtual breakfasts, lunch or tea breaks where work-related matters are not discussed, could be arranged.


Subject(s)
Pandemics , Teleworking , Hong Kong/epidemiology , Humans
12.
Frontiers in psychology ; 13, 2022.
Article in English | EuropePMC | ID: covidwho-1738331

ABSTRACT

The unprecedented public panic caused by COVID-19 will affect the recovery of tourism, especially the theme parks, which are generally crowded due to high visitor volume. The purpose of this study is to discuss the effect of the COVID-19 on the theme park industry. This study aims to predict recommendation intentions of theme park visitors by exploring the complicated mechanism derived from the fear of COVID-19. This study uses a quantitative research method, and SPSS 20.0 and AMOS 22.0 were used for data analysis. An online survey was conducted with 420 Chinese respondents who visited Shanghai Disneyland after its reopening. The study explored the relationship between Fear of COVID-19, perceived risk, participation, service experience, and revisit intention. Results indicated the perceived risk of theme park visitors will not directly ruin their recommendation intention. Visitors’ fear of COVID-19 enhanced their perceived risk, reduced their desire for active participation and impaired their service experience, which consequently affected their recommendation intention. We provide theoretical and managerial implications.

13.
Asia Pacific Journal of Tourism Research ; 26(11):1244-1254, 2021.
Article in English | CAB Abstracts | ID: covidwho-1721931

ABSTRACT

A number of frameworks have been developed examining destination competitiveness. While most recognise the roles crises can play, specific issues related to crisis and crisis management have not been fully explored yet. It is believed that crisis-related issues will gain more prominence in post-COVID-19 world. This conceptual paper argues that tourist's perceptions of a destination's crisis preparedness and sensitivity exert a direct impact on the perceived destination competitiveness. It further argues that this relationship will be moderated by tourist's own willingness to assume some risk and his or her own congruence with the destination.

14.
Parasitology ; 149(2): 218-233, 2022 02.
Article in English | MEDLINE | ID: covidwho-1721322

ABSTRACT

Schistosomiasis has been subjected to extensive control efforts in the People's Republic of China (China) which aims to eliminate the disease by 2030. We describe baseline results of a longitudinal cohort study undertaken in the Dongting and Poyang lakes areas of central China designed to determine the prevalence of Schistosoma japonicum in humans, animals (goats and bovines) and Oncomelania snails utilizing molecular diagnostics procedures. Data from the Chinese National Schistosomiasis Control Programme (CNSCP) were compared with the molecular results obtained.Sixteen villages from Hunan and Jiangxi provinces were surveyed; animals were only found in Hunan. The prevalence of schistosomiasis in humans was 1.8% in Jiangxi and 8.0% in Hunan determined by real-time polymerase chain reaction (PCR), while 18.3% of animals were positive by digital droplet PCR. The CNSCP data indicated that all villages harboured S. japonicum-infected individuals, detected serologically by indirect haemagglutination assay (IHA), but very few, if any, of these were subsequently positive by Kato-Katz (KK).Based on the outcome of the IHA and KK results, the CNSCP incorporates targeted human praziquantel chemotherapy but this approach can miss some infections as evidenced by the results reported here. Sensitive molecular diagnostics can play a key role in the elimination of schistosomiasis in China and inform control measures allowing for a more systematic approach to treatment.


Subject(s)
Schistosoma japonicum , Schistosomiasis japonica , Schistosomiasis , Animals , Cattle , China/epidemiology , Humans , Longitudinal Studies , Prevalence , Real-Time Polymerase Chain Reaction , Schistosoma japonicum/genetics , Schistosomiasis/epidemiology , Schistosomiasis japonica/epidemiology , Schistosomiasis japonica/veterinary , Snails
15.
Pacific-Basin Finance Journal ; : 101736, 2022.
Article in English | ScienceDirect | ID: covidwho-1699320

ABSTRACT

To fill the gaps between managerial distraction and disclosure quality of management earnings forecasts (MEFs), we examine the effects of managerial selective attention resulting from the COVID-19 pandemic. Using this pandemic in 2020 as an adverse shock potentially causing managerial distraction, results based on a difference-in-differences estimation suggest that managerial distraction had a negative effect on MEFs and affected forecast quality by increasing work burden and perceptual narrowing among managers, while cash reserves demonstrated a preventive function and alleviated such adverse effects. Our findings are robust, as supported by tests that address potential measurement errors.

16.
EuropePMC; 2020.
Preprint in English | EuropePMC | ID: ppcovidwho-323541

ABSTRACT

Background: Information about liver dysfunction in patients with COVID-19 is scarce. We aimed to explored the pattern and risk factors of liver dysfunction in patients with COVID-19. Methods: . In this retrospective study, we included all consecutive confirmed patients with COVID-19 in Fuyang Second People’s Hospital between January 20 and February 25, 2020 and collected clinical characteristics until discharge. The pattern and risk factors of liver dysfunction, viral shedding and outcome were analyzed. Results: . Totally, 146 patients were analyzed. The median age was 44.9 years and 54.1% were men, 43.8% patients presented liver dysfunction (22.6% on admission, 21.2% during hospitalization). The percentage of elevated ALT (15.1% on admission and 24.7% during hospitalization) were significantly higher than ALP (2.1% on admission and 3.4% during hospitalization) ( P < 0.001). Four clinical types were identified, type 1 (persistent normal liver function, 56.2%), type 2 (normal liver function on admission developed to liver dysfunction during hospitalization, 21.2%), type 3 (liver dysfunction on admission restored to normal on discharge, 13.0%) and type 4 (persistent liver dysfunction, 9.6%). The median duration of viral shedding was 12.0 (type 1), 15.0 (type 2), 14.0 (type 3) and 18.0 (type 4) days ( P < 0.001). Prolonged viral shedding and severity were potential risk factors associated with liver dysfunction. Conclusions: . The incidence of liver dysfunction in patients with COVID-19 is common but not severe, which mainly due to SARS-CoV-2-mediated immune injury on hepatocyte rather than cholangiocyte, DILI and underlying chronic liver disease should not be neglect.

17.
EuropePMC; 2020.
Preprint in English | EuropePMC | ID: ppcovidwho-322549

ABSTRACT

Background: and objective: Anaemia commonly aggravates the severity of respiratory diseases, whereas thus far, no study has elucidated the impact of anaemiaonCorona Virus Disease 2019(COVID-19). The aim of this study was to evaluate the clinical characteristics of patients with anaemia, and to further explore the relationship between anaemiaand the severity of COVID-19. METHODS: In this single-center, retrospective, observational study, a total of 222 patients were recruited, including 79 patients with anaemia and 143 patients without anaemia. Clinical characteristics, laboratory findings, disease progression and prognosis were collected and analyzed. Risk factors associated with the severe illness in COVID-19were established by univariable and multivariable logistic regression models. Result: :In our cohort, compared to patients without anaemia, patients with anaemia were more likely to experience one or more comorbidities and severe COVID-19 illness, as well as higher mortality. More patients demonstrated elevated levels of C-reactive protein (CRP), procalcitonin(PCT) and creatinine in anaemia group. Levels of erythrocyte sedimentation rate(ESR), D-dimer, myoglobin, T-pro brain natriuretic peptide(T-pro-BNP) and urea nitrogen(BUN)in patients with anaemia were significantly higher than those without. In addition,the proportion of patients with dyspnoea,elevated CRP and PCT was positively associated with the severity of anaemia. The Odd Ratio (OR) of anaemia related to the severe condition of COVID-19 was 5.07 (95% CI:1.82-14.18, P=0.002) and 3.47 (95% CI:1.02-11.75, P=0.046) after adjustment for baseline date and laboratory indices, respectively. Conclusion: Anaemia is an independent risk factor associated with the severe illness of COVID-19, and healthcare professionals should be more sensitive to the haemoglobin levels of COVID-19 patients on admission. To avoid rapid deterioration, more intensive care should be given to patients with anaemia. Trial registration: Ethics committee of Wuhan University People's Hospital (wdry2020-k064)

19.
EuropePMC; 2021.
Preprint in English | EuropePMC | ID: ppcovidwho-319518

ABSTRACT

The rapid spread of the new pandemic, i.e., COVID-19, has severely threatened global health. Deep-learning-based computer-aided screening, e.g., COVID-19 infected CT area segmentation, has attracted much attention. However, the publicly available COVID-19 training data are limited, easily causing overfitting for traditional deep learning methods that are usually data-hungry with millions of parameters. On the other hand, fast training/testing and low computational cost are also necessary for quick deployment and development of COVID-19 screening systems, but traditional deep learning methods are usually computationally intensive. To address the above problems, we propose MiniSeg, a lightweight deep learning model for efficient COVID-19 segmentation. Compared with traditional segmentation methods, MiniSeg has several significant strengths: i) it only has 83K parameters and is thus not easy to overfit;ii) it has high computational efficiency and is thus convenient for practical deployment;iii) it can be fast retrained by other users using their private COVID-19 data for further improving performance. In addition, we build a comprehensive COVID-19 segmentation benchmark for comparing MiniSeg to traditional methods.

20.
EuropePMC; 2020.
Preprint in English | EuropePMC | ID: ppcovidwho-308053

ABSTRACT

Background: Novel coronavirus pneumonia (NCP) is an emerging, highly contagious community acquired pneumonia (CAP) caused by severe acute SARS-CoV-2. Nucleic acid test currently played a crucial role in diagnosis of suspected COVID-19 patients. However, a high false-negative rate of this “gold standard” test has been reported and posed a major setback in blocking the spread of the virus. We here aim to describe an optimized laboratory detection strategy to reduce the false negative rate. Methods: : Suspected NCP patients were asked to collect both coughed up specimen and pharyngeal swab. Samples from the same patient were mixed and tested at a single pool. SARS-CoV-2 was then detected by real-time RT-PCR using two different detection kits. Only if both results were negative was the test reported as negative. The patients will be excluded after two consecutive negative tests at 24 hour intervals. We also used multiplex PCR to detect 13 common respiratory tract pathogens (RTP). Results: : Using this strategy, we confirmed 85 SARS-CoV-2 infections from 181 suspected patients, and 94.12% of patients were positive in the first test. The 96 excluded patients were followed up, and no additional NCP was found. We also found that 31.25% patients in 96 non-NCP patients were infected with at least one RTP that may cause CAP. Conclusion: Our studies suggest that dual reagents screening with pooled coughed up specimen and pharyngeal swab samples reduced the false negative rate of nucleic acid testing. During the epidemic of NCP in Anhui province, there was a certain proportion of infection and co-infection of other common pathogens of CAP. In comparison with SARS-CoV-2 detection alone, combining multiple pathogen detection reduces the rate of miss diagnosis.

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