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1.
Veterinary Microbiology ; 273:109544, 2022.
Article in English | MEDLINE | ID: covidwho-2028561

ABSTRACT

Autophagy-related 4B (ATG4B) is found to exert a vital function in viral replication, although the mechanism through which ATG4B activates type-I IFN signaling to hinder viral replication remains to be explained, so far. The current work revealed that ATG4B was downregulated in porcine epidemic diarrhea virus (PEDV)-infected LLC-PK1 cells. In addition, ATG4B overexpression inhibited PEDV replication in both Vero cells and LLC-PK1 cells. On the contrary, ATG4B knockdown facilitated PEDV replication. Moreover, ATG4B was observed to hinder PEDV replication by activating type-I IFN signaling. Further detailed analysis revealed that the ATG4B protein targeted and upregulated the TRAF3 protein to induce IFN expression via the TRAF3-pTBK1-pIRF3 pathway. The above data revealed a novel mechanism underlying the ATG4B-mediated viral restriction, thereby providing novel possibilities for preventing and controlling PEDV.

2.
Proc Natl Acad Sci U S A ; 119(35):e2110105119, 2022.
Article in English | PubMed | ID: covidwho-2000999

ABSTRACT

The spike (S) protein of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the main target for neutralizing antibodies (NAbs). The S protein trimer is anchored in the virion membrane in its prefusion (preS) but metastable form. The preS protein has been stabilized by introducing two or six proline substitutions, to generate stabilized, soluble 2P or HexaPro (6P) preS proteins. Currently, it is not known which form is the most immunogenic. Here, we generated recombinant vesicular stomatitis virus (rVSV) expressing preS-2P, preS-HexaPro, and native full-length S, and compared their immunogenicity in mice and hamsters. The rVSV-preS-HexaPro produced and secreted significantly more preS protein compared to rVSV-preS-2P. Importantly, rVSV-preS-HexaPro triggered significantly more preS-specific serum IgG antibody than rVSV-preS-2P in both mice and hamsters. Antibodies induced by preS-HexaPro neutralized the B.1.1.7, B.1.351, P.1, B.1.427, and B.1.617.2 variants approximately two to four times better than those induced by preS-2P. Furthermore, preS-HexaPro induced a more robust Th1-biased cellular immune response than preS-2P. A single dose (10(4) pfu) immunization with rVSV-preS-HexaPro and rVSV-preS-2P provided complete protection against challenge with mouse-adapted SARS-CoV-2 and B.1.617.2 variant, whereas rVSV-S only conferred partial protection. When the immunization dose was lowered to 10(3) pfu, rVSV-preS-HexaPro induced two- to sixfold higher antibody responses than rVSV-preS-2P in hamsters. In addition, rVSV-preS-HexaPro conferred 70% protection against lung infection whereas only 30% protection was observed in the rVSV-preS-2P. Collectively, our data demonstrate that both preS-2P and preS-HexaPro are highly efficacious but preS-HexaPro is more immunogenic and protective, highlighting the advantages of using preS-HexaPro in the next generation of SARS-CoV-2 vaccines.

3.
Asia Pacific Journal of Tourism Research ; 27(5):506-525, 2022.
Article in English | Web of Science | ID: covidwho-1915405

ABSTRACT

The COVID-19 pandemic harms offline tourism activities. Tourism live streaming that combines tourism and live broadcasting has entered people's vision and achieved rapid development. But so far, there are few related studies and results. This study, based on SOR theory, regards tourism live streaming consumers as the research object, and data were collected from a sample of 313 consumers who often watch tourism live streaming and have purchase behaviors. The results show that visual effect and interactivity of tourism live streaming have a positive influence on tourism consumers' willingness to participate, while spatial presence and flow experience play a chain mediating role in it. This paper provides important theoretical and practical significance to the study of tourism live streaming and the promotion of high-quality integration of the online and offline tourism industry.

4.
Zhonghua Gan Zang Bing Za Zhi ; 30(5): 520-526, 2022 May 20.
Article in Chinese | MEDLINE | ID: covidwho-1911774

ABSTRACT

Objective: To analyze whether there are differences and related influencing factors in liver injury associated with different strains of 2019-nCoV/SARS-CoV-2 infection. Methods: Data of epidemiology, clinical symptoms, laboratory tests, and treatment outcomes of patients with COVID-19 infection confirmed with Alpha and Delta virus strain in Zhejiang Province were retrospectively collected. Statistical analysis was performed using independent samples t-test or Mann-Whitney U test, χ2 test or Fisher's exact test, and logistic regression analysis. Results: A total of 788 and 381 cases with Alpha and Delta virus strain were included. Vaccination ratio was 0% in Alpha and 85.30% in Delta group (P<0.001), The proportion of patients with fever (80.71% vs. 40.94%, P<0.001) was significantly higher in Alpha than Delta strain group. The proportion of critical ill patients was significantly higher in Delta group (9.90% vs. 1.57%, respectively, P<0.001). The virus negative conversion time was significantly longer in Delta than Alpha group (22 d vs. 11 d, P<0.001), but the incidence of liver injury was significantly higher in Alpha than Delta group (20.05% vs. 13.91%, P=0.011). Univariate analysis showed that Alpha virus strain infection, male sex, body mass index, chronic liver disease, fever, diarrhea, shortness of breath, severe/critical illness, elevated creatine kinase (CK), elevated international normalized ratio (INR) and an elevated neutrophil/lymphocyte ratio was significantly associated with an increased risk of liver injury occurrence, and in patients with pharyngeal pain the risk of liver injury occurrence was significantly reduced. Multivariate analysis showed that shortness of breath [OR, 2.667 (CI: 1.389-5.122); P=0.003], increased CK [OR, 2.544 (CI: 1.414-4.576); P=0.002] and increased INR [OR, 1.721] (CI: 1.074-2.758); P=0.024] was significantly associated with an increased risk of liver injury occurrence, and in patients with pharyngeal pain the risk of liver injury occurrence was significantly reduced [OR, 0.424 (CI: 0.254-0.709); P=0.001]. Conclusion: Although the virulence of the Delta is stronger than Alpha strain, most patients infected with Delta strain vaccinated against COVID-19 in Zhejiang province had milder clinical symptoms and a lower incidence and degree of liver injury. Notably, the infection risk even remains after vaccination; however, symptoms and the incidence of severe and critical illness can be significantly reduced.


Subject(s)
COVID-19 , Critical Illness , Dyspnea , Fever , Humans , Liver , Male , Pain , Retrospective Studies , SARS-CoV-2
5.
PubMed; 2020.
Preprint in English | PubMed | ID: ppcovidwho-333583

ABSTRACT

While SARS-CoV-2 infection has pleiotropic and systemic effects in some patients, many others experience milder symptoms. We sought a holistic understanding of the severe/mild distinction in COVID-19 pathology, and its origins. We performed a whole-blood preserving single-cell analysis protocol to integrate contributions from all major cell types including neutrophils, monocytes, platelets, lymphocytes and the contents of serum. Patients with mild COVID-19 disease display a coordinated pattern of interferon-stimulated gene (ISG) expression across every cell population and these cells are systemically absent in patients with severe disease. Severe COVID-19 patients also paradoxically produce very high anti-SARS-CoV-2 antibody titers and have lower viral load as compared to mild disease. Examination of the serum from severe patients demonstrates that they uniquely produce antibodies with multiple patterns of specificity against interferon-stimulated cells and that those antibodies functionally block the production of the mild disease-associated ISG-expressing cells. Overzealous and auto-directed antibody responses pit the immune system against itself in many COVID-19 patients and this defines targets for immunotherapies to allow immune systems to provide viral defense. ONE SENTENCE SUMMARY: In severe COVID-19 patients, the immune system fails to generate cells that define mild disease;antibodies in their serum actively prevents the successful production of those cells.

6.
PubMed; 2020.
Preprint in English | PubMed | ID: ppcovidwho-333508

ABSTRACT

BACKGROUND: Serological tests are crucial tools for assessments of SARS-CoV-2 exposure, infection and potential immunity. Their appropriate use and interpretation require accurate assay performance data. METHOD: We conducted an evaluation of 10 lateral flow assays (LFAs) and two ELISAs to detect anti-SARS-CoV-2 antibodies. The specimen set comprised 128 plasma or serum samples from 79 symptomatic SARS-CoV-2 RT-PCR-positive individuals;108 pre-COVID-19 negative controls;and 52 recent samples from individuals who underwent respiratory viral testing but were not diagnosed with Coronavirus Disease 2019 (COVID-19). Samples were blinded and LFA results were interpreted by two independent readers, using a standardized intensity scoring system. RESULTS: Among specimens from SARS-CoV-2 RT-PCR-positive individuals, the percent seropositive increased with time interval, peaking at 81.8-100.0% in samples taken >20 days after symptom onset. Test specificity ranged from 84.3-100.0% in pre-COVID-19 specimens. Specificity was higher when weak LFA bands were considered negative, but this decreased sensitivity. IgM detection was more variable than IgG, and detection was highest when IgM and IgG results were combined. Agreement between ELISAs and LFAs ranged from 75.7-94.8%. No consistent cross-reactivity was observed. CONCLUSION: Our evaluation showed heterogeneous assay performance. Reader training is key to reliable LFA performance, and can be tailored for survey goals. Informed use of serology will require evaluations covering the full spectrum of SARS-CoV-2 infections, from asymptomatic and mild infection to severe disease, and later convalescence. Well-designed studies to elucidate the mechanisms and serological correlates of protective immunity will be crucial to guide rational clinical and public health policies.

7.
IAF Space Transportation Solutions and Innovations Symposium 2021 at the 72nd International Astronautical Congress, IAC 2021 ; D2, 2021.
Article in English | Scopus | ID: covidwho-1790579

ABSTRACT

As world space launch activities have entered an intensive stage, how to effectively improve efficiency, reduce costs, and enhance the ability to go into space while ensuring reliability and safety has become an important factor in measuring space capabilities. The launch vehicle must fly reliably and stably, and send the satellite into the predetermined orbit accurately. Not only is the important role of the systems on the vehicle, but ground testing and launch control also play a vital role in ensuring the success of the launch vehicle mission. The emergence of COVID-19 in early 2020 also challenged the personnel-intensive industrial model. Intelligent, unmanned, efficient, and system will be the dominant model in the future. This paper reviews the development status of the world's launch vehicle test launch technology, analyzes the capabilities and shortcomings of existing test launch technology, and proposes the development trend of future launch vehicle test launch technology based on new technologies emerging from the new round of scientific and technological revolution. The outlook for next-generation test launch system is also presented. Future test launch technologies will highlight the three characteristics of digitalization, networking and intelligence. Digitization lays the foundation for test launch informationization. Its development trend is big data analysis and application, replacing the existing software tools to extract, store, search, share, analyze, and process massive and complex data sets to achieve depth test launch data mining and maximum value. Networking provides a physical carrier for information dissemination. Its development trend is the adoption of Cyber-Physical Systems (CPS), integrated computing, communication, and control. Through networking, ground test transmitting equipment has computing, communication, precise control, remote coordination, autonomy and other functions. Intelligence reflects the level of information application. Its development trend is a new generation of artificial intelligence. According to the requirements of vehicle launch, it could quickly generate data and upload binding. Through intelligent detection methods, it could complete the required operations, inspections and tests before launching, and achieve autonomous vehicle launching. In the future, intelligent cyber-physical fusion system based on big data will become the mainstream direction of rocket vehicle test launch technology, which will further simplify operations, improve efficiency, reduce costs, and achieve the goal of "launch during transport". © 2021 by the International Astronautical Federation (IAF). All rights reserved.

8.
Wireless Communications and Mobile Computing ; 2022, 2022.
Article in English | Scopus | ID: covidwho-1704271

ABSTRACT

In the past few years, with the continuous breakthrough of technology in various fields, artificial intelligence has been considered as a revolutionary technology. One of the most important and useful applications of artificial intelligence is face detection. The outbreak of COVID-19 has promoted the development of the noncontact identity authentication system. Face detection is also one of the key techniques in this kind of authentication system. However, the current real-time face detection is computationally expensive which hinders the application of face recognition. To address this issue, we propose a face verification framework based on adaptive cascade network and triplet loss. The framework is simple in network architecture and has light-weighted parameters. The training network is made of three stages with an adaptive cascade network and utilizes a novel image pyramid based on scales with different sizes. We train the face verification model and complete the verification within 0.15 second for processing one image which shows the computation efficiency of our proposed framework. In addition, the experimental results also show the competitive accuracy of our proposed framework which is around 98.6%. Using dynamic semihard triplet strategy for training, our network achieves a classification accuracy of 99.2% on the dataset of Labeled Faces in the Wild. © 2022 Jianhong Lin et al.

9.
Embase;
Preprint in English | EMBASE | ID: ppcovidwho-326734

ABSTRACT

Phylogenetics has been central to the genomic surveillance, epidemiology and contact tracing efforts during the COVD-19 pandemic. But the massive scale of genomic sequencing has rendered the pre-pandemic tools inadequate for comprehensive phylogenetic analyses. Here, we discuss the phylogenetic package that we developed to address the needs imposed by this pandemic. The package incorporates several pandemic-specific optimization and parallelization techniques and comprises four programs: UShER, matOptimize, RIPPLES and matUtils. Using high-performance computing, UShER and matOptimize maintain and refine daily a massive mutation-annotated phylogenetic tree consisting of all SARS-CoV-2 sequences available in online repositories. With UShER and RIPPLES, individual labs – even with modest compute resources – incorporate newly-sequenced SARS-CoV-2 genomes on this phylogeny and discover evidence for recombination in real-time. With matUtils, they rapidly query and visualize massive SARS-CoV-2 phylogenies. These tools have empowered scientists worldwide to study the SARS-CoV-2 evolution and transmission at an unprecedented scale, resolution and speed.

10.
Sustainability (Switzerland) ; 13(24), 2021.
Article in English | Scopus | ID: covidwho-1593800

ABSTRACT

Quantified components of the global food system are used to assess long-term global food security under a series of socio-economic, epidemic normalization and climate change scenarios. Here, we evaluate the global food security including the global farming system as well as the global food trade, reserve and loss systems from 1961 to 2019, and analyze their temporal and spatial characteristics by using the global food vulnerability (GFV) model. The spatio–temporal patterns of the vulnerability of the global food system were consistent with the GFSI. As food production and consumption vary greatly in different countries which have continued for a long time, food exports from many developed agricultural countries have compensated for food shortages in most countries (about 120 net grain-importing countries). As a result, many countries have relied heavily on food imports to maintain their domestic food supplies, ultimately causing the global food trade stability to have an increasing impact on the food security of most countries. The impact of global food trade on global food security increased from 9% to 17% during 1961–2019, which has increased the vulnerability of the global food system. The food damage in the United States, Russia, China, and India has varied significantly, and global cereal stocks have fluctuated even more since 2000. From 1961 to 2019, the food system security of some Nordic countries significantly improved, while the food system security of most African countries significantly deteriorated. Most countries with high food insecurity are located in Africa and South Asia. In order to cope with extreme events, these countries need to strengthen and improve their own food production and storage systems, which will help the World Food and Agriculture Organization to formulate relevant food policies and maintain sustainable development. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.

11.
American Journal of Translational Research ; 13(11):12875-12886, 2021.
Article in English | EMBASE | ID: covidwho-1567794

ABSTRACT

Objective: To explore the risk factors for early clinical recurrence of inflammatory bowel disease (IBD) after fecal microbiota transplantation (FMT). Methods: A retrospective study was conducted on 192 patients with IBD who received FMT treatment in the Colorectal Disease Specialty/Intestinal Microecology Treatment Center of the Tenth People’s Hospital Affiliated to Tongji University from February 2017 to June 2020. Univariate and multivariate logistic regression models were used to analyze the risk factors for early recurrence of inflammation. Feces from all participants were collected to extract the total bacterial genomic DNA. The V6-8 regions of the bacterial 16S rDNA gene were amplified by polymerase chain reaction (PCR), the PCR products were detected by the denaturing gradient gel electrophoresis (DGGE) method, and the intestinal flora was analyzed by DNA fingerprinting. Stool samples from all patients were tested for 9 bacteria, white blood cells (WBC) and platelet (PLT) counts, as well as the erythrocyte sedimentation rate (ESR) and serum C-reactive protein (CRP) level. Results: Of the 192 patients, 15 cases had inflammation recurrence during FMT and within one week after treatment, including 11 cases of ulcerative colitis (UC) and 4 cases of Crohn’s disease (CD), with a total recurrence rate of 7.8%. High Mayo inflammatory activity score, Mayo endoscopic sub-item score (MES) =3 points, CRP>10 mg/L, anemia, albumin <30 g/L, absolute value of peripheral blood lymphocytes (PBL) <500/mm3, and intolerance to enteral full nutrition were independent risk factors for recurrence during and after FMT in UC patients (P<0.05). Albumin <30 g/L and simultaneous use of immunosuppressive agents were associated with disease recurrence during and after FMT in CD patients. WBC, PLT, and CRP were all negatively correlated with Enterococcus (EC), and ESR was positively correlated with Saccharomyces boulardii (SB) (P<0.01). Conclusion: The low recurrence rate of IBD after FMT indicates the safety of FMT, but this procedure should be cautiously used in patients with severe intestinal barrier dysfunction and/or severe intestinal dysfunction.

13.
Journal of the American Society of Nephrology ; 32:749, 2021.
Article in English | EMBASE | ID: covidwho-1490279

ABSTRACT

Background: Kidney impairment is observed in patients with COVID-19. The effect of anti-COVID-19 agent remdesivir on kidneys is currently unknown. We aimed to determine the effect of remdesivir on renal fibrosis and its downstream mechanisms. Methods: Remdesivir and its active nucleoside metabolite GS-441524 were used to treat TGF-β stimulated renal fibroblasts (NRK-49F) and human renal epithelial (HK2) cells. Vehicle or remdesivir were given by intraperitoneal injection or renal injection through the left ureter in unilateral ureteral obstruction (UUO) mice. Serum and kidneys were harvested. The concentrations of remdesivir and GS-441524 were measured using LC-MS/MS. Renal and liver function were assessed. Renal fibrosis was evaluated by Masson's trichrome staining and Western blotting. Results: Remdesivir and GS-441524 inhibited the expression of fibrotic markers (fibronectin and aSMA) in NRK-49F and HK2 cells. Intraperitoneal injection or renal injection of remdesivir attenuated renal fibrosis in UUO kidneys. Renal and liver function were unchanged in remdesivir treated UUO mice. Two remdesivir metabolites were detected after injection. Phosphorylation of Smad3 that was enhanced in cell and animal models for renal fibrosis was attenuated by remdesivir. In addition, the expression of Smad7, an anti-fibrotic factor, was increased after remdesivir treatment in vitro and in vivo. Conclusions: Remdesivir inhibits renal fibrosis in obstructed kidneys.

14.
3rd EAI International Conference on Multimedia Technology and Enhanced Learning, ICMTEL 2021 ; 388:331-337, 2021.
Article in English | Scopus | ID: covidwho-1446002

ABSTRACT

To investigate the relationship between emotional status and physical activity in adolescents during the epidemic period of Corona Virus Disease 2019. 600 junior and senior high school students from three municipal middle schools were randomly selected as the research objects. The self-evaluation of anxiety and depression and the evaluation of physical activity were carried out in the form of questionnaire survey. A total of 600 questionnaires were put in and 562 were recovered. The scores of SDS and SAS were 49.30 ± 7.02, and 53.42 ± 5.37 respectively. According to different age groups, there was significant difference in SAS among the three groups in different age groups (P <0.05). The total score of PA was (3.24 ± 0.98). According to different age groups, there were significant differences in PA total score, MVPA activities, physical education activities, weekend activities and one week total activities among the three groups (P <0.05). The total score of anxiety was negatively correlated with the total score of PA (r = −0.54, P = 0.024), MVPA (r = −0.38, P = 0.049) and physical education (r = −0.62, P = 0.016), and the total score of one week was negatively correlated (r = −0.44, P = 0.041). During the period of Corona Virus Disease 2019 epidemic, the anxiety level of adolescents increases with age, while the physical activity status decreases gradually, and is negatively correlated with anxiety. It is necessary to strengthen sports activities and protect emotional health in this special period. © 2021, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

15.
Investigative Ophthalmology & Visual Science ; 62(8):3, 2021.
Article in English | Web of Science | ID: covidwho-1407680
16.
Investigative Ophthalmology and Visual Science ; 62(8), 2021.
Article in English | EMBASE | ID: covidwho-1378869

ABSTRACT

Purpose : Vision Threatening Diseases (VTD) (age-related macular degeneration [AMD], cataract, diabetic retinopathy [DR], and glaucoma) account for 37% of all blindness. Screening and follow-up are crucial in preserving vision. During COVID-19, clinics reduced access, using telemedicine for diagnosis and follow-ups. The efficacy of remote screening and triage in the management of single or multiple VTDs was evaluated. Methods : We screened 41 subjects (19-85 years, 37% male, 17% Caucasian) (20 controls, 21 subjects). Demographics, 45-degree retinal photos, ganglion cell complex (GCC), and optic nerve head (ONH) images were collected using a non-contact puff-tonometer, nonmydriatic retinal camera, and an OCTA. Demographics and images were transmitted to two readers (onsite telemedicine screener [TS] and remote ophthalmologist [RO]) for triage. Triage was categorized: immediate referral to specialist, follow-up in person via clinic or telemedicine visit, or no follow-up necessary during COVID. Results : TS made 19 referrals (46%), 6 in person follow-ups (15%), 15 no follow-ups (37%);RO made 17 referrals (41%), 2 in person follow-ups (5%), 22 no follow-ups (54%). TS identified 12 subjects as possible VTD(s) while RO identified 11 subjects. TS and RO agreed on 8 glaucoma, 7 cataract, 3 DR, and 3 and 2 AMD cases, respectively. Glaucoma was identified using IOPs, retinal fundoscopy, and OCT imaging. Mean intraocular pressures were 12.9 and 15.7 (OD, OS) in glaucoma and 14.2 and 14.0 in controls. Fundoscopy was used for overall retinal health while OCT images were used to analyze GCC, ONH, nerve fiber layer, cup to disc ratio, and anterior chamber angles. AMD and DR were identified by fundoscopy and OCT imaging. 11 of the subjects were known clinic patients;both RO and TS referred all 11 to specialty clinics, matching the in-person clinic management. Conclusions : During the COVID pandemic, triaging patients can minimize person-toperson contact and help control the spread of the virus. Both readers agreed on the management and triage of a variety of patients with TS and RO differing only on 2 referrals and 4 in person follow-ups. Telemedicine is a promising alternative to in-person patient care for management and triage of vision threatening diseases. Further enrollment and follow-up are needed to increase robustness.

17.
Investigative Ophthalmology and Visual Science ; 62(8), 2021.
Article in English | EMBASE | ID: covidwho-1378868

ABSTRACT

Purpose : The Centers for Disease Control reports 28.2% of surveyed US adults had reduced access to medical care (June/August 2020) due to the COVID-19 pandemic, with 8.9% reporting reduced access to vision care. A non-mydriatic digital retinal camera was piloted for deployment to the Emergency Department (ED) to help address this gap in vision care. Referrals for clinical follow-up in vision threatening diseases (VTDs) such as age-related macular degeneration, cataracts, diabetic retinopathy (DR), and glaucoma were assessed with human readers. Artificial Intelligence (AI) deep learning software was evaluated in known DR cases. Methods : 33 patients with known VTDs (48.48% male, avg 59.33 years) and 36 control subjects (41.67% male, avg 31.33 years) were included in tele-ophthalmology screening. A Canon CR-2 Plus AF non-mydriatic retinal camera captured 45-degree angle color and auto-fluorescence images of the eyes. Images (136 eyes) were graded by a certified telemedicine reader on site and an off-site clinical ophthalmologist following International Clinical Diabetic Retinopathy Disease Severity Scale (ICDRSS). Intergrader agreement between readers was evaluated with Cohen's kappa. An automated deep learning screening software optimized for DR (SELENA+, EyRIS Pte Ltd, Singapore) performed independent validation of readable color fundus images (17 eyes). Results : 5.07% of images were deemed unreadable by graders due to poor quality. Intergrader agreement for subject referral was κ = 0.710 (95% CI 0.545-0.875, p<.0005), with the clinical ophthalmologist generating more referrals than the telemedicine reader. Readers had 96.97% sensitivity (95% CI 91.12-1.028) and 72.22% specificity (95% CI 57.59- 86.85) in detecting referable disease. Positive predictive value was 76.19% (CI 63.31%- 89.07%) and negative predictive value was 96.30% (CI 89.17%- 1.034%). Of the 10 false positives, 6 were referred for rule out of glaucoma. Four had early stage cataracts that were deemed nonurgent. SELENA+ referred 100% of the known 9 DR patients. Conclusions : Tele-ophthalmology deployment in the ED helps limit patient and staff exposure to SARS-CoV-2 without sacrificing evaluation for VTDs. Tele-ophthalmology readers err on the side of caution to avoid missing VTD in a given patient. Use of AI can help keep strict adherence to referral guidelines.

18.
Investigative Ophthalmology and Visual Science ; 62(8), 2021.
Article in English | EMBASE | ID: covidwho-1378773

ABSTRACT

Purpose : Coronavirus-19 (COVID-19) has had immense effects on access to medical care. Loss of medical care is alarming for individuals with pre-existing conditions like Type 1 Diabetes Mellitus (T1DM) which require uninterrupted care for best outcomes. Consistent care and medication use can reduce risk of developing diabetic retinopathy (DR) by 76% or progression by 54%. Healthy habits have also been linked to reduced risk of DR. The purpose of this study is to assess the effect of COVID-19 on care access and health habits in individuals with T1DM Methods : Surveys were administered from July-November of 2020 to multinational groups including the Children with Diabetes Conference (USA) and online groups, the American Diabetes Association and Connected in Motion Canadian Conference for T1DM. Data was collected from 125 patients from the USA, UK, Canada, and Bolivia. Age range was 5-81, and average years with T1DM was 17.9. The survey was online so responder rate is unclear, though response rates from previous surveys with similar groups averaged less than 10%. Results : While 73.6% of respondents saw an ophthalmologist within 1 year and 98.4% had medication without rationing, 40% postponed medical visits. Reasons for postponement included lack of appointments or transportation, financial issues and safety concerns. The majority (86.4%) were from the US where private insurance is prevalent, 12% were from Europe and Canada, where socialized medicine is common. Of respondents, 90.4% are willing to use telemedicine as an alternative. For most, diet remained the same (48.8%);25.6% stated their diet was healthier and 20% stated their diet was less healthy. 16.8% had problems accessing their usual foods due to the pandemic. A majority (55.2%) reported decreased exercise with 18.4% reporting more exercise. These overall trends were consistent across countries, and gender trends remained the same as pre-COVID, with women having better lifestyle and medical care adherence. Conclusions : Though patients delayed appointments, most were able to see an ophthalmologist and access medication. Physical activity levels decreased, though diets were mostly unchanged. In individuals with T1DM, disruptions in medical care and health habits can have negative long-term outcomes on overall and eye health. Telemedicine offers a promising solution for mitigating this risk.

19.
AHFE Conferences on Creativity, Innovation and Entrepreneurship, and Human Factors in Communication of Design, 2021 ; 276:225-234, 2021.
Article in English | Scopus | ID: covidwho-1359880

ABSTRACT

During the last decade, the art industry and especially the museums, the art galleries and the auctions has stagnated due to the global financial crisis (2007–2017) and latest lockdowns brought by the Covid-19 pandemic (2020-). Many art institutions introduced digital technologies into their operations and transitioned to the online art market. Visits to art exhibitions include interaction with other visitors of similar interests. Hence, digital art venues must create the same environment vibes and offer similar opportunities as the physical ones. The paper indicates the application of the avatar technology as an interaction method in digital museum spaces. It also provides the functional requirements, a navigation process, and the implementation scenarios for the adaptation of such technologies. The application of this digital strategy can transform the art market, contribute to the museum’s sustainability, and offer the public different ways of learning and entertainment. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

20.
ISPCE-CN 2020 - IEEE International Symposium on Product Compliance Engineering-Asia 2020 ; 2020.
Article in English | Scopus | ID: covidwho-1091111

ABSTRACT

This article proposes a Weibo public opinion evolution model based on data mining for COVID-19. Python crawlers are used to collect Weibo public content, and the evolution process is classified into four phases according to the popularity of public opinion. Naive Bayes classifier is employed for sentiment analysis, and data visualization method is adopted to explore the frequent word. Regional heat characteristics at each phase, the temporal and spatial laws of public opinion are discussed accordingly. The analysis results show that through the data mining of Weibo public opinion, the evolution pattern and hot content of each phase can be identified. This study suggests the government should focus on the evolution of public opinion and take effective guidance measures timely. © 2020 IEEE.

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