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1.
IEEE Journal on Selected Areas in Communications ; JOUR: 1-1,
Article in English | Scopus | ID: covidwho-2088061

ABSTRACT

With the rapid growth of the coronavirus disease of 2019 (COVID-19) cases, massive amounts of relevant data are being trained on machine learning models for countering communicable infectious diseases. Federated Learning (FL) is a paradigm of distributed machine learning to deal with the individual COVID-19 data, and enable the protection of data privacy. However, FL has low efficiency with system heterogeneity in Edge-Based wireless communication systems. In this paper, we propose an “Asynchronous-Adaptive FL”(AAFL) scheme. Specifically, we allow that medical devices with different performances have a heterogeneous number of local SGD iterations in each communication round, called asynchronous iteration strategy which is balanced under adaptive control. We theoretically analyze the convergence of the AAFL scheme under a given time budget and obtain a mathematical relationship between the heterogeneous number of local SGD iterations and the optimal model parameters. Based on the mathematical relationship, we design an algorithm for parameter server and work nodes to adaptively control the heterogeneous number of local SGD iterations. Subsequently, we build a prototype heterogeneous system and conduct experiments on various scenarios for analyzing the general properties of our algorithm, and then apply our algorithm to public COVID-19 databases. The experimental results and application performance demonstrate the effectiveness and efficiency of our AAFL scheme. IEEE

2.
Chinese Journal of New Drugs ; 31(18):1804-1809, 2022.
Article in Chinese | EMBASE | ID: covidwho-2057656

ABSTRACT

During the regular COVID-19 prevention and control period, the running of fever-related clinical trial projects faces many problems, which will affect the development of new drugs. How to coordinate the regular COVID-19 prevention and control with the clinical trial process is the key to ensure that the clinical trial participants are successfully enrolled. In this paper, taking the influenza project as an example, combined with the practice of operation and management of the influenza clinical trial project in our hospital, the problems faced in the operation of fever-related clinical trial projects during the regular COVID-19 prevention and control period were discussed and the countermeasures and suggestions were proposed. In order to meet the dual needs of infectious disease prevention and control and clinical trials, it is recommended that in low-risk areas for COVID-19, the subject screening process be integrated with the COVID-19 exclusion process, the starting time of subject screening be moved forward, clinical trial enrollment be conducted while waiting for COVID-19 screening results, in addition, the clinical trial process after COVID-19 screening results are returned should be established in advance. Copyright © 2022, Chinese Journal of New Drugs Co. Ltd. All right reserved.

3.
Journal of Medical Pest Control ; 38(3):277-281, 2022.
Article in Chinese | Scopus | ID: covidwho-2056261

ABSTRACT

Objective To understand the awareness, psychological status and stress reduction of health care workers involved in the emergency response Corona Virus Disease 2019 (COVID-19) outbreak since the “traffic control” in Dali Bai Autonomous Prefecture on 26 January 2020, in order to inform the development of relevant measures. To provide a reference basis for the development of related measures. Methods The study participants were invited through the Dali Bai Autonomous Prefecture medical and nursing exchange group by snowball sampling method based on WeChat from February 4 to February 5, and the invited participants filled out the questionnaires online(Questionnaire Star). The invailed questionnaires were strictly eliminated according to the quality control conditions, and the questionnaires that fit the research study were selected for collation, statistical analysis was performed. Results Onerall high awareness of COVID-19 among health care workers after “traffic control” in Dali Bai Autonomous Prefecture, with the highest knowledge of the source of infection was 95.95% and the lowest genotype knowledge rate of 64. 86%. The differences between the different psychological profiles of anxiety and stress, loneliness and depression among health care workers were statistically significant (x2 = 25. 439, P < 0. 01), and the highest percentage of anxiety among health care workers was 79. 73% and the lowest percentage of depression was 50. 85%;health care workers mainly reduced stress by watching TV and surfing the Internet, and the composition ratios of the two main forms of reducing stress were 68.92% and 60. 81%, respectively. Conclusion Different types of mental health problems existed among health care workers of different genders, occupations, titles and marital status after the “traffic control” in Dali Bai Autonomous Prefecture. Therefore, targeted mental health guidance and interventions for different health care workers. © 2022, Editorial Department of Medical Pest Control. All rights reserved.

4.
31st International Conference on Computer Communications and Networks, ICCCN 2022 ; 2022-July, 2022.
Article in English | Scopus | ID: covidwho-2051981

ABSTRACT

There is a growing trend for people to perform work-outs at home due to the global pandemic of COVID-19 and the stay-at-home policy of many countries. Since a self-designed fitness plan often lacks professional guidance to achieve ideal outcomes, it is important to have an in-home fitness monitoring system that can track the exercise process of users. Traditional camera-based fitness monitoring may raise serious privacy concerns, while sensor-based methods require users to wear dedicated devices. Recently, researchers propose to utilize RF signals to enable non-intrusive fitness monitoring, but these approaches all require huge training efforts from users to achieve a satisfactory performance, especially when the system is used by multiple users (e.g., family members). In this work, we design and implement a fitness monitoring system using a single COTS mm Wave device. The proposed system integrates workout recognition, user identification, multi-user monitoring, and training effort reduction modules and makes them work together in a single system. In particular, we develop a domain adaptation framework to reduce the amount of training data collected from different domains via mitigating impacts caused by domain characteristics embedded in mm Wave signals. We also develop a GAN-assisted method to achieve better user identification and workout recognition when only limited training data from the same domain is available. We propose a unique spatialtemporal heatmap feature to achieve personalized workout recognition and develop a clustering-based method for concurrent workout monitoring. Extensive experiments with 14 typical workouts involving 11 participants demonstrate that our system can achieve 97% average workout recognition accuracy and 91% user identification accuracy. © 2022 IEEE.

5.
Innovation in Aging ; 5:948-948, 2021.
Article in English | Web of Science | ID: covidwho-2011095
6.
Innovation in Aging ; 5:38-39, 2021.
Article in English | Web of Science | ID: covidwho-2011094
7.
Journal of General Internal Medicine ; 37:S133, 2022.
Article in English | EMBASE | ID: covidwho-1995829

ABSTRACT

BACKGROUND: In-person clinic visits can be challenging for underserved populations due to social determinants of health such as transportation, time off work, and childcare responsibilities. These challenges were further compounded during the COVID-19 pandemic, which propelled primary care physicians to rapidly incorporate telehealth into their practice. The aim for this project was to assess our internal medicine residents' views on, preparation for, and comfort with telehealth. METHODS: With technical support from our local Area Health Education Center (AHEC) chapter, we created a telehealth training module specific to our residency continuity clinics. Upper-level Internal Medicine residents were surveyed regarding their experience and comfort level with the use of telehealth in their continuity clinics. First-year residents were excluded, as they were assigned to in-person clinic visits during the peak of the pandemic. Survey results were analyzed using descriptive statistics. Themes, areas of improvement, and next steps were identified. RESULTS: Approximately 57 percent of Wake Forest Internal Medicine residents (n=38) completed the newly developed telehealth online training module and associated survey assessing resident experience and comfort level with telehealth. Many respondents (71.9%) stated that they had not received prior training in telehealth. However, 65.7% of residents surveyed stated they felt comfortable managing patients through telehealth. Many of those surveyed believed telehealth benefits the health of patients (84.4%,) is an important learning opportunity during residency (93.8%,) and expect to use telehealth in their future career (97.1%.) A majority of residents felt telehealth could be a suitable alternative for routine follow-up and chronic disease management, but mentioned the lack of patient connectivity to video and need for access to objective data like vital signs and physical exam. CONCLUSIONS: Internal Medicine residents were eager to incorporate telehealth into their current training and future careers, despite most not having received prior telehealth training. Residents recognized the limitations of telehealth and frequently suggested home measurements of vital signs to improve management decisions. Thus, “Know Your Numbers” pilot project was created, which targets patients with poorly controlled diabetes and hypertension, was designed to provide residents with greater exposure to telehealth, as well as equip patients with the remote monitoring tools necessary to better inform treatment recommendations. Patients are scheduled for interval telehealth visits between their regularly scheduled in-person visits with their resident primary care physician. Residents will be surveyed again in July 2022 to assess changes in comfort level and experience with telehealth.

8.
Sleep Medicine ; 100:S135-S136, 2022.
Article in English | EMBASE | ID: covidwho-1967124

ABSTRACT

Introduction: A safety risk of some commonly prescribed sleep-promoting drugs, including benzodiazepines and nonbenzodiazepine receptor agonists, is central respiratory depression. Subjects with coexisting respiratory disease such as obstructive sleep apnea (OSA), and/or the elderly, are particularly at risk. Lemborexant (LEM) is a dual orexin receptor antagonist (DORA) approved in multiple countries for the treatment of adults with insomnia. In study 102 (E2006-A001-102;NCT03471871), no differences between LEM 10 mg (LEM10) and placebo (PBO) were found on peripheral oxygen saturation (SpO2) and the apnea-hypopnea index (AHI) in adult and elderly subjects with mild OSA following a single dose and multiple doses. Study 113 (E2006-A001-113;NCT04647383) is the first to investigate the effect of LEM on respiratory safety in adults and elderly subjects with moderate to severe OSA. Materials and Methods: This was a multicenter, multiple-dose, randomized, double-blind, PBO-controlled, 2-period crossover study in adult (age ≥45 to <65y) and elderly (age ≥65 to ≤90y) subjects with moderate (15≤AHI<30) to severe (AHI≥30) OSA. Subjects were randomized to two 8-night treatment periods (separated by a washout ≥14d) with either LEM10 or PBO. In-lab polysomnography and transmissive pulse oximetry were performed at screening, on Day 1 (after a single dose) and Day 8 of study drug during both treatment periods. Treatment-emergent adverse events (TEAEs) were recorded throughout the study. Results: Forty-eight subjects were screened;33 (68.8%) were randomized;of these n=13 had moderate OSA and n=20 had severe OSA. Mean age was 60.6y;22/33 subjects (66.7%) were age ≥45 to <65y and 11/33 (33.3%) were ≥65 to ≤90y. During total sleep time, mean baseline SpO2 was 93.5% and mean AHI for moderate OSA and severe OSA groups together (n=33) was 44.2. No significant difference was found in AHI (least squares mean [LSM]) after a single dose or multiple doses of LEM10 versus PBO in subjects with moderate (single: LEM10, 31.49;PBO, 32.41, P=0.818;multiple: LEM10, 34.66;PBO, 37.16, P=0.442) or severe (single: LEM10, 48.22;PBO, 52.69, P=0.172;multiple: LEM10, 51.48;PBO, 51.15, P=0.902) OSA. LEM10 versus PBO was also not significantly different for SpO2 (LSM with moderate [single: LEM10, 93.68;PBO, 93.86, P=0.696;multiple: LEM10, 93.74;PBO, 93.86%, P=0.784] or severe [single: LEM10, 92.57;PBO, 92.65, P=0.841;multiple: LEM10, 92.63;PBO, 93.02, P=0.283] OSA). Furthermore, no significant difference was found in percentage of total sleep time during which SpO2 was below the thresholds of <90%, <85%, <80% for LEM10 vs PBO following a single dose (P=0.694, P=0.134, P=0.195, respectively) or multiple doses (P=0.481, P=0.711, P=0.699, respectively) in subjects with moderate or severe OSA. TEAEs were higher with LEM10 (18.2%) versus PBO (9.1%). One subject did not complete treatment due to an adverse event unrelated to LEM10 (COVID-19). Overall, LEM was well tolerated, and most TEAEs were mild. Conclusion: As objectively measured by AHI and SpO2 during TST, LEM, a DORA, demonstrated respiratory safety with single and multiple dosing in subjects with moderate and severe OSA, and was well tolerated. Acknowledgements: Supported by Eisai, Inc.

9.
Hong Kong Journal of Paediatrics ; 27(3):204-214, 2022.
Article in English | EMBASE | ID: covidwho-1965315
10.
Engineering, Construction and Architectural Management ; 2022.
Article in English | Scopus | ID: covidwho-1948668

ABSTRACT

Purpose: The construction industry is facing challenges not only for workers' mobility in the pandemic situation but also for Lean Construction (LC) practise in responding to the high-quality development during the post-pandemic. As such, this paper presents a construction workforce management framework based on LC to manage both the emergency goal in migrant worker management and the long-term goal in labour productivity improvement in China. Design/methodology/approach: The framework is created based on the integrated culture and technology strategies of LC. A combination of qualitative and quantitative methods is taken to explore factors influencing the mobility of construction workers and to measure labour productivity improvement. The case study approach is adopted to demonstrate the framework application. Findings: For method application, a time-and-motion study and Percent Plan Complete indicator are proposed to offer labour productivity measurements of “resources efficiency” and “flow efficiency”. Moreover, the case study provides an industry level solution for construction workforce management and Lean Construction culture shaping, as well as witnesses the LC culture and technology strategies alignment contributing to LC practise innovation. Originality/value: Compared with previous studies which emphasised solely LC techniques rather than socio-technical system thinking, the proposed integration framework as well as implementation of “Worker's Home” and “Lean Work Package” management models in the COVID-19 pandemic contribute to new extensions of both the fundamental of knowledge and practise in LC. © 2022, Emerald Publishing Limited.

11.
Atmosphere ; 13(5), 2022.
Article in English | Scopus | ID: covidwho-1933965

ABSTRACT

Mass suspension of anthropogenic activities is extremely rare, the quarantine due to the coronavirus disease 2019 (COVID-19) represents a natural experiment to investigate the impact of anthropogenic activities on air quality. The mitigation of air pollution during the COVID-19 lock-down has been reported from a global perspective;however, the air pollution levels vary in different regions. This study initiated a novel synthesis of multiple-year satellite observations, national ground measurements towards SO2, NO2 and O3 and meteorological conditions to evaluate the impact of the COVID-19 lockdown in Beihai, a specific city in a less developed area in southwest China, to reveal the potential implications of control strategies for air pollution. The levels of the major air pollutants during the COVID-19 lockdown (LP) and during the same period of previous years (SP) were compared and a series of statistical tools were applied to analyze the sources of air pollution in Beihai. The results show that air pollutant levels decreased with substantial diversity during the LP. Satellite-retrieved NO2 and SO2 levels during the LP decreased by 5.26% and 22.06%, while NO2, SO2, PM2.5 and PM10 from ground measurements during the LP were 25.6%, 2.7%, 22.2% and 22.2% lower than during SP, respectively. Ground measured SO2 concentrations during the LP were only 2.7% lower than during the SP, which may be attributed to uninterrupted essential industrial activ-ities, such as power plants. Polar plots analysis shows that NO2 concentrations were strongly associated with local emission sources, such as automobiles and local industry. Additionally, the much lower levels of NO2 concentrations during the LP and the absence of an evening peak may highlight the significant impact of the traffic sector on NO2. The decrease in daily mean O3 concentrations during the LP may be associated with the reduction in NO2 concentrations. Indications in this study could be beneficial for the formulation of atmospheric protection policies. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.

12.
Wireless Communications & Mobile Computing ; 2022:12, 2022.
Article in English | English Web of Science | ID: covidwho-1883334

ABSTRACT

In order to solve the error prevention problem of secondary equipment in intelligent substations, this paper designs the Substation Secondary Equipment- (SSE-) oriented error risk Prevention, Control, and Management (P&C&M) system. Firstly, the basic principle of SSE error prevention is reviewed. The SSE model is expanded based on the existing microcomputer error prevention system's Substation Primary Equipment (SPE). Thereupon, the SSE status acquisition device is designed, and the overall architecture is implemented for SSE error prevention. Secondly, edge-node cooperation is analyzed along with the specific architecture of the edge gateway. Finally, the wireless communication network is designed based on the edge gateway. The delay and flow of different data streams are compared, and the error proof verification mechanism is introduced into SSE. The numerical results corroborate that when the Sampled Value (SV) traffic exceeds 32 Mbps, the maximum delay exceeds the specified delay (3 MS). The average flow of the Manufacturing Message Specification (MMS) message is 90 kbps, which can meet the requirements of the intelligent substation. The delay of star networking is higher than that of ring networking. Meanwhile, the proposed network analyzer has a measured flow closer to the calculated flow of SSE. In the 60-hour accuracy statistics, the proposed SSE-oriented error P&C&M system reaches an accuracy as high as 84%. Therefore, the proposed SSE-oriented error P&C&M has strong feasibility. The outcome provides a reference for the intelligent development of error prevention of secondary equipment in intelligent substations.

13.
PubMed; 2022.
Preprint in English | PubMed | ID: ppcovidwho-337958

ABSTRACT

Most children infected with COVID-19 have no or mild symptoms and can recover automatically by themselves, but some pediatric COVID-19 patients need to be hospitalized or even to receive intensive medical care (e.g., invasive mechanical ventilation or cardiovascular support) to recover from the illnesses. Therefore, it is critical to predict the severe health risk that COVID-19 infection poses to children to provide precise and timely medical care for vulnerable pediatric COVID-19 patients. However, predicting the severe health risk for COVID-19 patients including children remains a significant challenge because many underlying medical factors affecting the risk are still largely unknown. In this work, instead of searching for a small number of most useful features to make prediction, we design a novel large-scale bag-of-words like method to represent various medical conditions and measurements of COVID-19 patients. After some simple feature filtering based on logistical regression, the large set of features is used with a deep learning method to predict both the hospitalization risk for COVID-19 infected children and the severe complication risk for the hospitalized pediatric COVID-19 patients. The method was trained and tested the datasets of the Biomedical Advanced Research and Development Authority (BARDA) Pediatric COVID-19 Data Challenge held from Sept. 15 to Dec. 17, 2021. The results show that the approach can rather accurately predict the risk of hospitalization and severe complication for pediatric COVID-19 patients and deep learning is more accurate than other machine learning methods.

14.
Ieee Transactions on Automation Science and Engineering ; 19(2):692-708, 2022.
Article in English | Web of Science | ID: covidwho-1799284

ABSTRACT

This paper investigates a new multi-objective order assignment and scheduling problem for personal protective equipment (PPE) production and distribution during the outbreak of epidemics like COVID-19. The objective is to simultaneously minimize the total cost and maximize the PPE supply timeliness. For the problem, we first develop a bi-objective mixed-integer linear program (MILP). Then an epsilon-constraint combined with logic-based Benders decomposition method is proposed based on some explored properties. We then extend the proposed model to handle dynamics and randomness. In particular, we design a predictive reactive rescheduling approach to address random order arrivals and manufacturer disruptions. Computational experiments on a real case from China and 100 randomly generated instances are conducted. Results show that the proposed algorithm significantly outperforms an adapted epsilon-constraint method combined with the proposed MILP and the widely used non-dominated sorting genetic algorithm II (NSGA-II) in obtaining high-quality Pareto solutions. Note to Practitioners-The unprecedented outbreak of COVID-19 and its rapid spread caught numerous national and local governments unprepared. Healthcare systems faced a vital scarcity of PPEs. The urgency of producing and delivering PPEs increases as the number of infected cases rapidly increases. A key challenge in response to the epidemic is effectively and efficiently matching the demands and needs. Performing practical and efficient order assignment and scheduling for PPE production during the COVID-19 outbreak is critical to curbing the COVID-19 pandemic. This work first proposes a bi-objective mixed-integer linear program for optimal order assignment and scheduling for PPE production. The aim is to achieve an economical and timely PPE production and supply. A novel method that combines the epsilon-constraint framework and the logic-based Benders decomposition is proposed to yield high-quality Pareto solutions for practical-sized problems. Computational results indicate that the proposed approaches are practical and feasible, which can help decision-makers to perform acceptable order assignment and scheduling decisions.

15.
Journal of Environmental Sciences (China) ; 125:603-615, 2023.
Article in English | Scopus | ID: covidwho-1783484

ABSTRACT

Wuhan Tianhe International Airport (WUH) was suspended to contain the spread of COVID-19, while Shanghai Hongqiao International Airport (SHA) saw a tremendous flight reduction. Closure of a major international airport is extremely rare and thus represents a unique opportunity to straightforwardly observe the impact of airport emissions on local air quality. In this study, a series of statistical tools were applied to analyze the variations in air pollutant levels in the vicinity of WUH and SHA. The results of bivariate polar plots show that airport SHA and WUH are a major source of nitrogen oxides. NOx, NO2 and NO diminished by 55.8%, 44.1%, 76.9%, and 40.4%, 33.3% and 59.4% during the COVID-19 lockdown compared to those in the same period of 2018 and 2019, under a reduction in aircraft activities by 58.6% and 61.4%. The concentration of NO2, SO2 and PM2.5 decreased by 77.3%, 8.2%, 29.5%, right after the closure of airport WUH on 23 January 2020. The average concentrations of NO, NO2 and NOx scatter plots at downwind of SHA after the lockdown were 78.0%, 47.9%, 57.4% and 62.3%, 34.8%, 41.8% lower than those during the same period in 2018 and 2019. However, a significant increase in O3 levels by 50.0% and 25.9% at WUH and SHA was observed, respectively. These results evidently show decreased nitrogen oxides concentrations in the airport vicinity due to reduced aircraft activities, while amplified O3 pollution due to a lower titration by NO under strong reduction in NOx emissions. © 2022

17.
East Asian Arch Psychiatry ; 32(1): 5-10, 2022 Mar.
Article in English | MEDLINE | ID: covidwho-1766172

ABSTRACT

OBJECTIVES: This study aims to examine the rates of anxiety, depression, and posttraumatic stress disorder (PTSD) after hospital discharge among COVID-19 survivors and to determine the associated risk factors. METHODS: Adult COVID-19 survivors discharged from hospitals between March 2020 and March 2021 were asked to complete a questionnaire at 4 weeks after discharge. The Chinese version of the 22-item Impact of Event Scale - Revised (IES-R) was used to measure symptoms of PTSD. The 9-item Patient Health Questionnaire (PHQ-9) was used to assess symptoms of major depressive disorder. The 7-item Generalised Anxiety Disorder Scale (GAD-7) was used to measure symptoms of generalised anxiety disorder. The rates of anxiety, depression, and PTSD among discharged patients were determined, as were associations between psychosocial factors and outcome measures and predictors for moderate-tosevere symptoms of anxiety, depression, and PTSD. RESULTS: 96 men and 103 women aged 18 to 81 years returned the completed questionnaire. 12.1% to 20.1% of them reported symptoms of PTSD, anxiety, or depression. Higher symptom severity was associated with higher perceived life threat, lower emotional support, lower disease severity upon admission, and longer hospital stay. Women had more PTSD symptoms than men, particularly when knowing someone under quarantine. CONCLUSION: COVID-19 survivors with higher perceived life threat, lower emotional support, lower disease severity upon admission, and longer hospital stay were associated with higher severity of symptoms of PTSD, anxiety, and depression. Timely intervention should provide to at-risk survivors.


Subject(s)
COVID-19 , Depressive Disorder, Major , Stress Disorders, Post-Traumatic , Adolescent , Adult , Aged , Aged, 80 and over , Anxiety/epidemiology , Anxiety Disorders/complications , Anxiety Disorders/epidemiology , COVID-19/epidemiology , Depression/epidemiology , Depressive Disorder, Major/complications , Female , Humans , Male , Middle Aged , Stress Disorders, Post-Traumatic/etiology , Survivors , Young Adult
18.
Forest Chemicals Review ; 2021(September-October):1352-1367, 2021.
Article in English | Scopus | ID: covidwho-1728567

ABSTRACT

Based on the revitalization of the tourism industry under the normalization of the COVID-19 epidemic prevention and control, this study uses the most effective predictive index of research-driven behavior - behavior intention to construct the Extended-TPB model, to study the behavior intention of tourists in the special period background and clarify the influence mechanism of tourists' choice of consumption behavior. The research not only provides a reference for the cultural and travel enterprises to suggest the characteristics of tourists' consumption behavior at present, but it also provides a reference for the revitalization of the industry after the epidemic. The results show that: 1) the prevention and control effect of China's COVID-19 and the epidemic prevention measures of cultural and tourism enterprises are important factors such as tourist behavior attitude, subjective norms, etc.;2) Tourists' trust in Chinese culture and tourism industry and preference for Chinese culture dilute the pressure of subjective norms to a certain extent, that is the higher the trust, the less affected by the epidemic or the attitudes of surrounding relatives and friends, and vice versa;3) According to the characteristics of China's culture and tourism industry and epidemic situation, the construction of culture and information capitals can effectively promote the generation of cultural tourism behavior. © 2021 Kriedt Enterprises Ltd. All Rights Reserved.

19.
Discov Med ; 32(165):39-47, 2021.
Article in English | PubMed | ID: covidwho-1711114

ABSTRACT

BACKGROUND: The follow-up data of discharged patients with coronavirus disease 19 (COVID-19) have not yet been fully analyzed and reported. This study aimed to evaluate the clinical features, test results, and outcomes of COVID-19 patients after discharge. METHODS: 149 COVID-19 patients with follow-up data after discharge were included. Post-hospitalization data related to clinical features and outcomes were obtained by following the patients up to 6 weeks. RESULTS: The COVID-19 patients were followed for a median of 28.0 days (range of 22 days to 42 days) after discharge from hospital. At the end of follow-up, four patients (2.7%) still had cough. The proportions of leukopenia and lymphopenia were 7.4% and 4.7%, respectively. The proportions of ALT, AST, and Cr abnormalities were 26.2%, 6.0%, and 0%, respectively. Abnormal chest CT was detected in 94 (63.1%) patients, including 14 (9.4%) unilateral pneumonia and 80 (53.7%) bilateral pneumonia. However, the proportion of chest CT abnormality significantly decreased compared to that at the time of admission. CONCLUSIONS: One month after discharge, few patients with COVID-19 had clinical symptoms;however, a substantial proportion of COVID-19 patients harbored abnormal laboratory and radiological examinations. Moderately long-term medical follow-up would justifiably benefit COVID-19 patients after discharge.

20.
He Jishu/Nuclear Techniques ; 45(1), 2022.
Article in Chinese | Scopus | ID: covidwho-1631788

ABSTRACT

Irradiation technology has been widely used in the field of food processing. It is urgent to figure out whether the quality of frozen meat food would change after irradiation, when the SARS-CoV-2 was detected in the imported cold-chain meat. The effects of irradiation on the quality of frozen meat are summarized from the aspects of food sensory, protein decomposition, fat oxidation, vitamin content and so on, providing reference for the formulation of irradiation for the elimination of SARS-CoV-2 and other viruses on frozen food, as well as the study of irradiated frozen meat and the industrial development of irradiated frozen food. © 2022, Science Press. All right reserved.

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