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1.
Gms Hygiene and Infection Control ; 17:1-11, 2022.
Article in English | Web of Science | ID: covidwho-2099067

ABSTRACT

Aim: To analyze the role of the logistics support services in nosocomial infection control during emergency periods, with a focus on job respon-sibilities including the organization of vehicle parking, supply of hospital meals, washing of medical bedding and clothing, disposal and manage-ment of medical sewage and waste, elevator services, disinfection of air conditioning systems, disinfection and cleaning of ambulances, management of hospital buildings, storage of sterilization supplies, re-ception and delivery of oxygen cylinders and protection of staff health as examples.Methods: The adjustment and optimization of the emergency support system and working mode as part of hospitals' response to major public emergencies were summarized, and the vital supporting role of the lo-gistics support services in nosocomial infection control was analyzed.Results: The logistics support services played a crucial role in ensuring the high-performance operations of the hospitals and control of noso-comial infections, resulting in the excellent outcome of "zero infection" among hospital staff.Conclusion: Establishing a safe, flexible and efficient system for the lo-gistics support services is important in ensuring an effective response by hospitals to health emergencies.

2.
International Journal of Clinical and Experimental Medicine ; 15(10):318-327, 2022.
Article in English | EMBASE | ID: covidwho-2093172

ABSTRACT

Background: Coronavirus disease 2019 (COVID-19) is a newly notifiable pneumonia disease spreading rapidly and causes disability and deaths worldwide. Type 2 diabetes (T2D), one of the most common metabolic disorder, is suggested as one of the risk factors of COVID-19 and contributes to its severity and mortality. Therefore, we investigated the characteristics of the patients suffered from severe COVID-19 in order to provide proper treat-ments. Method(s): This study retrospectively reviewed data of 24 patients with severe COVID-19. Eleven patients with T2D and 13 with normal glucose tolerance (NGT) were compared by various indicators and followed by statistical analysis. Result(s): In the T2D group, arterial blood pH, serum bicarbonate (SB), actual bicarbonate (AB), whole blood alkaline excess (BE), and base excess in the extracellular fluid Compartment (BEecf) significantly exceeded the up-per limit of stock. The pH and SB in the T2D group were considerably higher than those of the NGT group (P<0.05). After treated for more than two days with both the herbal prescription of traditional Chinese medicine and beraprost sodium, breathing difficulties as well as metabolic alkalosis were significantly improved. Conclusion(s): Severe lung damages in T2D patients with severe COVID-19 might behave as a mixed acid-alkaline imbalance disorder due to metabolic alkalosis. Breathing difficulties and metabolic alkalosis could be improved after the treated with traditional Chinese medicine and beraprost sodium. Although a small number of patients were included in this study, our findings provide an efficient indicator for treating T2D diabetic patients with severe COVID-19. Copyright © 2022, E-Century Publishing Corporation. All rights reserved.

3.
IEEE Electron Device Letters ; : 1-1, 2022.
Article in English | Scopus | ID: covidwho-2078240

ABSTRACT

A stamp-based printing technique was applied to transfer the β-Ga<sub>2</sub>O<sub>3</sub> films grown by pulsed laser deposition (PLD) from Si substrates onto some flexible substrates, such as PET, PEN, and PI. It is demonstrated that the β-Ga<sub>2</sub>O<sub>3</sub>-based flexible solar-blind photodetectors (SBPDs) exhibit brilliant optoelectrical performances with a low dark current of 1.7 pA at 10 V, a I<sub>254nm</sub>/I<sub>dark</sub> ratio of 1.2×103, rise (τ<sub>r1</sub> = 0.079 s and τ<sub>r2</sub> = 0.413 s) and decay (τ<sub>d1</sub> = 0.029 s and τ<sub>d2</sub> = 0.316 s) times. In a further step, flexible imaging sensor arrays based on the β-Ga<sub>2</sub>O<sub>3</sub>/PET were fabricated, which exhibit good imaging capability and resolution. Moreover, wearable UVC-alarms based on the β-Ga<sub>2</sub>O<sub>3</sub>/PET were realized to monitor the UVC radiation in the environment in real time, which can be used in the COVID-19-related area. IEEE

4.
2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Demonstrations (Naacl-Hlt 2021) ; : 66-77, 2021.
Article in English | Web of Science | ID: covidwho-2068449

ABSTRACT

To combat COVID-19, both clinicians and scientists need to digest vast amounts of relevant biomedical knowledge in scientific literature to understand the disease mechanism and related biological functions. We have developed a novel and comprehensive knowledge discovery framework, COVID-KG to extract fine-grained multimedia knowledge elements (entities and their visual chemical structures, relations and events) from scientific literature. We then exploit the constructed multimedia knowledge graphs (KGs) for question answering and report generation, using drug repurposing as a case study. Our framework also provides detailed contextual sentences, subfigures, and knowledge subgraphs as evidence. All of the data, KGs, reports(1), resources, and shared services are publicly available(2).

5.
American Journal of Transplantation ; 22(Supplement 3):660, 2022.
Article in English | EMBASE | ID: covidwho-2063476

ABSTRACT

Purpose: Kidney transplantation (KT) from coronavirus disease 2019 (COVID-19) positive donors has been avoided due to concerns for donor-derived transmission and possibility of the kidney being a viral reservoir. There is no long-term safety data, and sensitive molecular testing for SARS-CoV-2 in donor kidney is not routinely performed. We report a case of successful KT from a deceased donor who died from severe COVID-19 respiratory illness whose donor kidney and aorta were probed for virus using in situ hybridization (ISH) and quantitative reverse transcriptionpolymerase chain reaction (qRT-PCR). Method(s): A 30-year-old female was admitted to the hospital with severe COVID-19 pneumonia with a positive RT-PCR test for SARS-CoV-2 on nasopharyngeal swab. With clinical worsening, she was placed on extracorporeal membrane oxygenation, but developed hypoxic brain injury and progressed to brain death. Renal function was stable during her hospital course with serum creatinine concentration of 0.7 mg/dL. SARS-CoV-2 RT-PCR on bronchoalveolar lavage and nasopharyngeal samples tested again three days prior to donation was negative. A 55-year-old male recipient with an end-stage renal disease secondary to hypertension was transplanted with the left kidney from the above donor. The donor kidney was studied using pre-implantation surgical biopsy tissues to investigate the presence of SARS-CoV-2 RNA. Aorta tissue with the kidney was also studied given high expression of angiotensin-converting enzyme 2 receptors in vasculature. Result(s): ISH analyses did not show any positive signal for SARS-CoV-2 RNA in the donor kidney sample compared to a SARS-CoV-2 positive lung control. All samples tested by qRT-PCR were also negative for SARS-CoV-2. We found no evidence of SARS-CoV-2 mRNA in the donor kidney and aorta. The recipient has been free of COVID-19 related signs or symptoms and tested negative for SARSCoV- 2 by nasopharyngeal swab RT-PCR on days 20, 30, and 90 following KT. After an initial period of delayed graft function requiring hemodialysis, the recipient now has excellent renal recovery over 6 months following the transplant, and the most recent creatinine is 1.3 mg/dL. Conclusion(s): Taken together with recent observations of successful KT outcomes from mild or asymptomatic COVID-19 donors, we believe that the transmission risk of SARS-CoV-2 through KT is likely to be very low. Use of deceased donors who died after severe COVID-19 can be considered for KT. Larger scale studies are needed to confirm our findings.

6.
Tissue Engineering - Part A ; 28:359, 2022.
Article in English | EMBASE | ID: covidwho-2062828

ABSTRACT

Purpose/Objectives: Nature efficiently self-organizes cells and tissues into complex fractal forms. Whether fractal patterning contributes functionally to maturation, and how cells sense and interpret such shape cues, is not well understood. Methodology: Using kidney podocytes as a model system, bioinspired templating of glomerular histology was leveraged to design controlled fractal 21/2 -D surfaces for cell culture. Results: Microcurvature was associated with charge density gradients in space, found to direct extracellular matrix protein organization resulting in hierarchical assembly of cell structures and fractally-branching podocyte morphology in vitro, that was delineated clearly in vitro with a novel highresolution fluorescent assaying technique. Shape stimulation was uniquely associated with development of mature-like foot processes and organized ECM. In applications of drug testing, coronavirus infection, and a cells-as-sensors approach to patient serum diagnostics, fractally stimulated cells were more responsive than flat cultures. Conclusion/Significance: Fractal frameworks may thus provide a functional role in podocyte maturation and could serve to advance other bioengineered systems.

7.
IEEE Transactions on Dependable and Secure Computing ; : 1-17, 2022.
Article in English | Scopus | ID: covidwho-2052083

ABSTRACT

Many regions are in urgent need of facial masks for slowing down the spread of COVID-19. To fight the pandemic, people are contributing masks through donation systems. Most existing systems are built on a centralized architecture which is prone to the single point of failure and lack of transparency. Blockchain-based solutions neglect fundamental privacy concerns (donation privacy) and security attacks (collusion attack, stealing attack). Moreover, current auditing solutions are not designed to achieve donation privacy, thus not appropriate in our context. In this work, we design a decentralized, anonymous, and secure auditing framework Astraea based on private smart contracts for donation systems. Specifically, we integrate a Distribute Smart Contract (DiSC) with an SGX Enclave to distribute donations, prove the integrity of donation number (intention) and donation sum while preserving donation privacy. With DiSC, we design a Donation Smart Contract to refund deposits and defend against the stealing attack the collusion attack from malicious collector and transponder. We formally define and prove the privacy and security of Astraea by using security reduction. We build a prototype of Astraea to conduct extensive performance analysis. Experimental results demonstrate that Astraea is practically efficient in terms of both computation and communication. IEEE

8.
Lecture Notes in Educational Technology ; : C1, 2022.
Article in English | Scopus | ID: covidwho-2048166

ABSTRACT

The original version of the chapter 6 was inadvertently published without page range in the reference Polkinghorne, D. E. (1995) on page 136, and this has been included now as in below: Polkinghorne, D. E. (1995). Narrative configuration in qualitative analysis. International Journal of Qualitative studies in Education, 8(1), 5–23. The chapter and book have been updated with the changes. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

9.
Anesthesia and Analgesia ; 134:1180-1181, 2022.
Article in English | Web of Science | ID: covidwho-2040899
10.
Zhonghua Liu Xing Bing Xue Za Zhi ; 43(9): 1376-1380, 2022 Sep 10.
Article in Chinese | MEDLINE | ID: covidwho-2040004

ABSTRACT

Objective: To understand the epidemiological characteristics of a local clustered epidemic caused by 2019-nCoV Delta variant in Ningbo and provide reference for the improvement of COVID-19 epidemic prevention and control. Methods: Case finding was conducted based on case definitions, and field epidemiological investigation of COVID-19 cases was carried out. In which Nasal and oropharyngeal swabs of the cases were collected for pathogen testing, and the results were analyzed with descriptive epidemiological methods. Results: A total of 74 COVID-19 cases were reported in this epidemic, and the cases were mainly mild ones, accounting for 87.84% (65/74), and there were no severe or critical cases. The epidemic curve showed a human-to-human transmission mode, indicating that a transmission for at least six generations had occurred. The age of the COVID-19 patients ranged from 2 years to 80 years, and 27.03% (20/74) of the cases were older than 60 years. The cases were mainly workers (55.41%, 41/74) and housework/the unemployed (27.03%, 20/74). The COVID-19 epidemic was limited, and no further spread to other areas occurred. The transmission chain among the cases was clear, and the gene sequencing results confirmed that the current epidemic was caused by 2019-nCoV Delta variant, which was highly homologous to the strains from other province. Conclusion: The local COVID-19 epidemic in Ningbo was caused by imported cases of COVID-19 from other province, and local community spread occurred through daily contacts between cases and contacts.


Subject(s)
COVID-19 , Epidemics , COVID-19/epidemiology , Child, Preschool , Data Collection , Humans , SARS-CoV-2
11.
2022 International Conference on Blockchain Technology and Information Security, ICBCTIS 2022 ; : 246-254, 2022.
Article in English | Scopus | ID: covidwho-2029226

ABSTRACT

The COVID-19 pandemic has led to a worldwide surge in demand for masks, protective clothing, and other epidemic prevention materials. The lack of epidemic prevention materials has put the lives of frontline health care workers at serious risk. However, epidemic prevention materials are not being distributed fairly and efficiently. This, coupled with the occasional scramble for scarce materials, makes epidemic prevention materials scarcer. The traditional centralized donation model makes it difficult to obtain the demand for materials in a timely manner, and the existing blockchain-based donation systems have not improved the efficiency of material donation. Moreover, most of the donation systems do not consider privacy and security issues. In this paper, we propose a blockchain-based material donation platform designed and implemented through the Ethereum platform. We solve the difficulty of demand acquisition and improve the transparency of the donation process through blockchain;reduce the possibility of a second disaster and improve the efficiency of material distribution through smart contracts;and protect the privacy and security of the donation process through zero-knowledge proof. We validate the security and efficiency of the proposed epidemic donation platform. © 2022 IEEE.

12.
2022 International Conference on Cloud Computing, Internet of Things, and Computer Applications, CICA 2022 ; 12303, 2022.
Article in English | Scopus | ID: covidwho-2019669

ABSTRACT

As one of the main means of transportation for citizens in Wuhan, urban rail transit has assumed the dual responsibility of ensuring the travel needs of citizens and blocking the spread of the epidemic in the context of COVID-19. Taking the security check space of Wuhan subway Street entrance station as an example, the paper aims at putting forward the optimization strategy of security space design to solve the obstruction problem caused by the excessive flow of subway stations at present. The paper takes the COVID-19 prevention and control requirements in Wuhan into consideration, uses intelligent technology, combines the construction of social force model to conduct pedestrian simulation, and applies simulation variable analysis. The findings indicate that the optimization strategy of security space design effectively shortens the arrival time and effectively controls the flow of people. It is expected to provide some reference and research basis for the design and optimization of security inspection space of subway transportation system in the future. © 2022 SPIE.

13.
Innovation in Aging ; 5:735-736, 2021.
Article in English | Web of Science | ID: covidwho-2012744
14.
Journal of Clinical Oncology ; 40(16), 2022.
Article in English | EMBASE | ID: covidwho-2005715

ABSTRACT

Background: To direct limited specialized palliative care resources to patients in greatest need, we developed STEP (Symptom screening with Targeted Early Palliative care). STEP entails symptom screening (ESAS-r) at each oncology clinic visit and triggered alerts (for moderate-high physical and psychological symptoms) to a nurse who calls the patient to offer a palliative care clinic (PCC) visit. We conducted a phase III RCT to assess the impact of STEP versus usual care on quality of life and other patient-reported outcomes (PROs). Methods: Adults with advanced cancer were recruited from medical oncology clinics at the Princess Margaret Cancer Centre, Toronto, Canada. Consenting patients with oncologist-assessed ECOG 0-2 and estimated survival of 6-36 months were enrolled and block randomized (stratified by tumour site and symptom severity) to STEP or usual care. Participants completed measures of quality of life (FACT-G7), depression (PHQ-9), symptom control (ESASr-CS), and satisfaction with care (FAMCARE-P16) at baseline, 2, 4 and 6 months. The primary outcome was FACT-G7 at 6 months, with a planned sample size of 261/arm. Results: From 8/2019 to 3/2020, 69 patients were enrolled: 33 randomized to STEP and 36 to usual care. The trial was then halted permanently due to the COVID-19 pandemic, owing to substantial changes to elements of STEP (shift to virtual symptom screening and palliative care) and usual care (shift to virtual oncology care). Median age was 64 years (range 25-87) and 62% (43/69) were women;study arms were balanced at baseline except gender, with more women randomized to STEP. Within the STEP arm, 20 (61%) participants triggered a nurse's call to offer a PCC visit, of whom 13 attended the clinic at least once. All outcomes tended to be better in the STEP arm compared to usual care, particularly depression and satisfaction with care at 6 months;however, results were not statistically significant (Table). Conclusions: STEP holds promise for improving quality of life and other PROs in patients with advanced cancer and effectively directing early palliative care towards those who need it most. In response to the pandemic, an online version of STEP has been developed and a further trial is in progress.

15.
Asia Pacific Journal of Tourism Research ; 27(6):652-670, 2022.
Article in English | Web of Science | ID: covidwho-2004891

ABSTRACT

Leadership and crisis are closely intertwined, yet studies of leadership during crisis remain scarce. The 2020 Covid-19 outbreak offers an ideal context to examine leaders' roles during severe crises. Grounded in the theoretical framework of transformative leadership and based on a study of four cases in rural Ningbo, Zhejiang Province, the study examines rural tourism enterprises' post-pandemic recovery to identify how leadership navigated organizations through the recovery process. The study demonstrates that each case displays components of transformational leadership that facilitated businesses' recovery. Creativity appears especially important in promoting effective leadership amid crisis and uncertainty. Theoretical and practical implications are discussed.

16.
Psychosomatic Medicine ; 84(5):A12, 2022.
Article in English | EMBASE | ID: covidwho-2003263

ABSTRACT

Background: When the WHO declared COVID-19 a global pandemic on March 11, 2020, stay-at-home orders and business closures were imposed to contain viral spread. Accumulating evidence suggests that these societal disruptions caused abrupt changes in important health behaviors such as physical activity, but most work to date has used self-report measures. Longitudinal studies collecting objective measures of activity and sleep behavior and heart rate before and after the pandemic could shed light on potential health implications of the ongoing pandemic and associated social distancing measures. Objective: To determine whether significant within-person changes in objective heart rate, sleep, and physical activity occurred from pre- to post-COVID pandemic. Methods: Adult smartphone users were recruited from an online registry. 22 participants (M 47 years old, range 20-72;76% female;91% White;55% with at least one chronic medical condition) provided access to their Fitbit data and had at least one week of pre-COVID (March 11, 2019 to March 10, 2020;M = 256 days of data, range 25-366 days) and post-COVID (March 11, 2020 to December 31, 2020;M = 231 days of data, range 107-294 days) Fitbit data. Results: Paired t-tests revealed significant decreases in mean heart rate (77 to 75 bpm;t(18) = 2.91, p < .01), step counts (7946 to 6969 steps/day;t(21) = 2.72, p = .01), and total active time (185 to 165 minutes/day;t(21) = 3.02, p < .001) and significant increases in total sedentary time (766 to 781 minutes/day;t(21) =-2.88, p < .01) from pre- to post-COVID but no significant changes in Fitbit-assessed sleep time, latency, or efficiency. Conclusions: These prospective sensor data captured before and after the pandemic contribute to our understanding of how COVID-19 has affected physical activity and heart rate. Findings suggest that adults became less physically active and more sedentary after the pandemic relative to the year prior to COVID-19 but that sleep behaviors remained relatively stable. Although this is a small nonrepresentative sample, these longitudinal objective behavioral data corroborate larger self-report studies. Future analyses will examine trajectories of activity change over the course of the pandemic and characteristics of participants who maintained or increased activity levels despite social distancing mandates.

17.
Medical Imaging 2022: Image Perception, Observer Performance, and Technology Assessment ; 12035, 2022.
Article in English | Web of Science | ID: covidwho-1997217

ABSTRACT

Purpose: This study aims to analyze a social distance monitoring and contact tracing assistance tool for preventing the spread of COVID-19 in a busy indoor working hospital environment. Method: A camera-based tool was developed. The tool estimates physical distance between multiple individuals in real-time and also tracks individuals and records their contact time when in violation social distance requirements for retrospect review. Both stereo- and monocular-camera tools are implemented and their accuracy and efficiency are evaluated and compared. Video was captured by a ZED M camera which was set close to the ceiling of a lab space. Three people within the field of view of the camera completed various movements. The distance (binary, <6 feet or >6 feet) and contact time between each pair was recorded as ground truth and compared to the video software analysis. Additionally, the contact time between any two individuals was calculated and compared to ground truth. Results: The overall accuracy of social distance detection was 95.1% and 74.4%, with a false-negative rate (when the tool predicts individuals are far enough apart, when they are actually too close) of 7.2% and 23.5% for the stereo and monocular tools, respectively. Conclusions: A stereo-camera social distance monitoring and contact tracing assistance tool can accurately detect social distance among multiple people, and keep an accurate contact record for each individual. While a monocular camera tool provided some level of certainty, a stereo camera tool was shown to be superior.

18.
Progress in Chemistry ; 34(4):884-897, 2022.
Article in Chinese | Web of Science | ID: covidwho-1979618

ABSTRACT

The outbreak of the COVID-19 has increased the demand for point-of-care testing ( POCT), and as the most indispensable tools for human beings at present, smartphones have great application potential in POCT. Smartphone-based POCT has the following unique advantages: ( 1) easy to operate and without the need for professional training;( 2) shorter wait times and quicker test results;( 3) low fabrication cost and convenient to use in limited-resource areas. Therefore, smartphone-based POCT is rapidly emerging as a potential alternative to traditional laboratory testing. Herein, we perform a comprehensive review of recent progress and applications of smartphone-based sensors in POCT for the past three years, which uses the tested objects ( body fluids, volatile organic compounds, vital signs) by POCT as the basis for classification, and combines with the current mainstream sensing strategies, including colorimetric, fluorescent, electrochemical technology, piezoelectric, pyroelectric, ultrasonic and photoelectric sensor, etc. We evaluate the performance and development potential of these sensors, in addition, the emerging technologies used in POCT are introduced, such as nanotechnology, flexible electronic devices, microfluidic technology, biodegradable technology, self- powered technology, multichannel detection and so on. Finally, current problems are summarized and the future development of the smartphone-based POCT is discussed.

19.
Ieee Transactions on Emerging Topics in Computational Intelligence ; : 10, 2022.
Article in English | Web of Science | ID: covidwho-1978407

ABSTRACT

The upheaval brought by the arrival of the COVID-19 pandemic has continued to bring fresh challenges over the past two years. During this COVID-19 pandemic, there has been a need for rapid identification of infected patients and specific delineation of infection areas in computed tomography (CT) images. Although deep supervised learning methods have been established quickly, the scarcity of both image-level and pixel-level labels as well as the lack of explainable transparency still hinder the applicability of AI. Can we identify infected patients and delineate the infections with extreme minimal supervision? Semi-supervised learning has demonstrated promising performance under limited labelled data and sufficient unlabelled data. Inspired by semi-supervised learning, we propose a model-agnostic calibrated pseudo-labelling strategy and apply it under a consistency regularization framework to generate explainable identification and delineation results. We demonstrate the effectiveness of our model with the combination of limited labelled data and sufficient unlabelled data or weakly-labelled data. Extensive experiments have shown that our model can efficiently utilize limited labelled data and provide explainable classification and segmentation results for decision-making in clinical routine.

20.
Ieee Access ; 10:75536-75548, 2022.
Article in English | Web of Science | ID: covidwho-1978318

ABSTRACT

Along with social distancing, wearing masks is an effective method of preventing the transmission of COVID-19 in the ongoing pandemic. However, masks occlude a large number of facial features, preventing facial recognition. The recognition rate of existing methods may be significantly reduced by the presence of masks. In this paper, we propose a method to effectively solve the problem of the lack of facial feature information needed to perform facial recognition on people wearing masks. The proposed approach uses image super-resolution technology to perform image preprocessing along with a deep bilinear module to improve EfficientNet. It also combines feature enhancement with frequency domain broadening, fuses the spatial features and frequency domain features of the unoccluded areas of the face, and classifies the fused features. The features of the unoccluded area are increased to improve the accuracy of recognition of masked faces. The results of a cross-validation show that the proposed approach achieved an accuracy of 98% on the RMFRD dataset, as well as a higher recognition rate and faster speed than previous methods. In addition, we also performed an experimental evaluation in an actual facial recognition system and achieved an accuracy of 99%, which demonstrates the effectiveness and practicability of the proposed method.

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