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1.
Frontiers in medicine ; 9, 2022.
Article in English | EuropePMC | ID: covidwho-2012681

ABSTRACT

Purpose The purpose of this study was to investigate the hotspots and research trends of ophthalmology research. Method Ophthalmology research literature published between 2017 and 2021 was obtained in the Web of Science Core Collection database. The bibliometric analysis and network visualization were performed with the VOSviewer and CiteSpace. Publication-related information, including publication volume, citation counts, countries, journals, keywords, subject categories, and publication time, was analyzed. Results A total of 10,469 included ophthalmology publications had been cited a total of 7,995 times during the past 5 years. The top countries and journals for the number of publications were the United States and the Ophthalmology. The top 25 global high-impact documents had been identified using the citation ranking. Keyword co-occurrence analysis showed that the hotspots in ophthalmology research were epidemiological characteristics and treatment modalities of ocular diseases, artificial intelligence and fundus imaging technology, COVID-19-related telemedicine, and screening and prevention of ocular diseases. Keyword burst analysis revealed that “neural network,” “pharmacokinetics,” “geographic atrophy,” “implementation,” “variability,” “adverse events,” “automated detection,” and “retinal images” were the research trends of research in the field of ophthalmology through 2021. The analysis of the subject categories demonstrated the close cooperation relationships that existed between different subject categories, and collaborations with non-ophthalmology-related subject categories were increasing over time in the field of ophthalmology research. Conclusions The hotspots in ophthalmology research were epidemiology, prevention, screening, and treatment of ocular diseases, as well as artificial intelligence and fundus imaging technology and telemedicine. Research trends in ophthalmology research were artificial intelligence, drug development, and fundus diseases. Knowledge from non-ophthalmology fields is likely to be more involved in ophthalmology research.

2.
Curr Psychol ; : 1-14, 2022 Jul 30.
Article in English | MEDLINE | ID: covidwho-1976872

ABSTRACT

Although we are surrounded by various kinds of rumors during the coronavirus disease pandemic, little is known about their primary content, what effect they might have on our emotions, and the potential factors that may buffer their effect. Combining qualitative (study 1 extracted 1907 rumors from top rumor-refuting websites using the Python Web Crawler and conducted content analysis) and quantitative (study 2 conducted an online survey adopting a three-wave design, N = 444) research methods, the current study revealed that government-related rumors accounted for the largest proportion of rumors during the outbreak stage of the pandemic and were positively associated with the public's negative emotions. We also found that trust in government negatively moderated the relationship between government-related rumors and negative emotions. Specifically, when people had low trust in government, exposure to government-related rumors was positively associated with negative emotions. However, when people had high trust in government, the association was non-significant. For positive emotions, we found no significant effects of government-related rumors. The findings highlight the importance of rumor control during public emergencies and cultivating public trust in government in the long run. Supplementary Information: The online version contains supplementary material available at 10.1007/s12144-022-03508-x.

3.
Sens Actuators B Chem ; 351: 130897, 2022 Jan 15.
Article in English | MEDLINE | ID: covidwho-1458630

ABSTRACT

The rapid and accurate diagnosis of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) at the early stage of virus infection can effectively prevent the spread of the virus and control the epidemic. Here, a colorimetric and fluorescent dual-functional lateral flow immunoassay (LFIA) biosensor was developed for the rapid and sensitive detection of spike 1 (S1) protein of SARS-CoV-2. A novel dual-functional immune label was fabricated by coating a single-layer shell formed by mixing 20 nm Au nanoparticles (Au NPs) and quantum dots (QDs) on SiO2 core to produce strong colorimetric and fluorescence signals and ensure good monodispersity and high stability. The colorimetric signal was used for visual detection and rapid screening of suspected SARS-CoV-2 infection on sites. The fluorescence signal was utilized for sensitive and quantitative detection of virus infection at the early stage. The detection limits of detecting S1 protein via colorimetric and fluorescence functions of the biosensor were 1 and 0.033 ng/mL, respectively. Furthermore, we evaluated the performance of the biosensor for analyzing real samples. The novel biosensor developed herein had good repeatability, specificity and accuracy, which showed great potential as a tool for rapidly detecting SARS-CoV-2.

6.
EClinicalMedicine ; 26: 100503, 2020 Sep.
Article in English | MEDLINE | ID: covidwho-805325

ABSTRACT

BACKGROUND: Cancer patients had been profoundly affected by the outbreak of COVID-19 especially after quarantine restrictions in China. We aimed to explore the treatment changes and delays of early breast cancer (EBC) during the first quarter of 2020. METHODS: We did this retrospective, multicentre, cohort study at 97 cancer centres in China. EBC patients who received treatment regardless of preoperative therapy, surgery or postoperative therapy during first quarter of 2020 were included. FINDINGS: 8397 patients were eligible with a median age of 50 (IQR 43-56). 0·2% (15/8397) of EBC patients were confirmed as COVID-19 infection. Only 5·2% of breast cancer diagnosis occurred after quarantine in Hubei compared with 15·3% in other provinces (OR= 0·30, 95%CI 0·24-0·38). postoperative endocrine therapy were least affected compared with different regions after quarantine (OR=0·37 [95%CI 0·19-0·73]). The proportion of surgery decreased from 16·4% in December last year to 2·6% in February in Hubei. Compared with intervals from diagnosis to treatment before quarantine restrictions, the average time increased with significance from 3·5 to 7·7 days in Hubei and 5·7 to 7·7 days in other provinces (p< 0·001). There were also 18·5 and 7·2 days delay in Hubei and other provinces respectively when calculating interval from surgery to postoperative therapy. INTERPRETATION: EBC from high risk regions had a comparative rate of COVID-19 infection. After implementation of COVID-19 quarantine restrictions, fewer diagnosis and surgery with significant delays were seen when compared with treatment before. FUNDING: Beijing Medical Award Foundation (YJ0120).

7.
Front Med (Lausanne) ; 7: 530, 2020.
Article in English | MEDLINE | ID: covidwho-769238

ABSTRACT

Objective: Coronavirus disease 2019 (COVID-19) was first reported in Wuhan, China, and has rapidly spread throughout the world. It has been reported that angiotensin-converting enzyme 2 (ACE2) is one of the major cellular entry receptors of SARS-CoV-2; thus, high ACE2 expression may increase susceptibility to infection. Therefore, we analyzed the expression of ACE2 in the blood to identify the individuals who may be susceptible to infection. Methods: In total, 229 subjects were enrolled in this study, and reverse transcription-quantitative polymerase chain reaction and ELISA assay was used to identify the level of ACE2 mRNA expression and ACE2 protein level in the blood. Demographic and clinical characteristics, including age, gender, weight, height, smoking habits, drinking habits, diabetes, and hypertension, were obtained using a face-to-face questionnaire. Independent Student's t-test, Pearson's linear correlation, logistic regression analysis, and multiple linear regression correlation were performed to assess the association between these factors and the expression of ACE2. Results: Higher level of ACE2 was observed in females, older subjects, subjects with hypertension, subjects with a cardiocerebrovascular disease, male smokers, and subjects with cancer (p < 0.05) than in other subjects. Multiple linear regression analysis showed that there is a statistically significant correlation between being a female and ACE2 expression (ß = 0.550, p < 0.001), between older age and ACE2 expression (ß = 0.197, p = 0.003), between smoking and ACE2 expression (ß = 0.163, p = 0.037), and between cancer and ACE2 expression (ß = 0.265, p < 0.001). Logistic regression analysis revealed that female subjects (odds ratio [OR] = 2.255, 95% confidence interval [CI] = 1.770-2.872), subjects with hypertension (OR = 1.264, 95% CI = 1.075-1.486), subjects with a cardiocerebrovascular disease (OR = 1.271, 95% CI = 1.023-1.579), subjects with cancer (OR = 1.695, 95% CI = 1.253-2.293), and subjects above 60 years of age (OR = 3.097, 95% CI = 1.078-8.896) are at an increased risk of infection due to their high expression of ACE2. Conclusion: The level of ACE2 is higher in females, older subjects, smokers, and subjects with cancer than in other subjects, indicating that some of which are at higher risk for the severe forms of COVID-19 when they are exposed to the SARS-Cov-2.

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