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1.
PLoS ONE [Electronic Resource] ; 17(12):e0279711, 2022.
Article in English | MEDLINE | ID: covidwho-2197118

ABSTRACT

The COVID-19 pandemic has presented unprecedented challenges for university students, creating uncertainties for their academic careers, social lives, and mental health. Our study utilized a machine learning approach to examine the degree to which students' college adjustment and coping styles impacted their adjustment to COVID-19 disruptions. More specifically, we developed predictive models to distinguish between well-adjusted and not well-adjusted students in each of five psychological domains: academic adjustment, emotionality adjustment, social support adjustment, general COVID-19 regulations response, and discriminatory impact. The predictive features used for these models are students' individual characteristics in three psychological domains, i.e., Ways of Coping (WAYS), Adaptation to College (SACQ), and Perceived Stress Scale (PSS), assessed using established commercial and open-access questionnaires. We based our study on a proprietary survey dataset collected from 517 U.S. students during the initial peak of the pandemic. Our models achieved an average of 0.91 AUC score over the five domains. Using the SHAP method, we further identified the most relevant risk factors associated with each classification task. The findings reveal the relationship of students' general adaptation to college and coping in relation to their adjustment during COVID-19. Our results could help universities identify systemic and individualized strategies to support their students in coping with stress and to facilitate students' college adjustment in this era of challenges and uncertainties.

2.
Electronic Research Archive ; 31(2):1004-1030, 2023.
Article in English | Web of Science | ID: covidwho-2201200

ABSTRACT

As the COVID-19 continues threatening public health worldwide, when to vaccinate the booster shots becomes the hot topic. In this paper, based on the characteristics of COVID-19 and its vaccine, an SAIR model associated with temporary immunity is proposed to study the effect on epidemic situation. Second, we theoretically analyze the existence and stability of equilibrium and the system undergoes Hopf bifurcation when delay passes through some critical values. Third, we study the dynamic properties of Hopf bifurcation and derive the normal form of Hopf bifurcation to determine the stability and direction of bifurcating periodic solutions. After that, numerical simulations are carried out to demonstrate the application of the theoretical results. Particularly, in order to ensure the validity, statistical analysis of data is conducted to determine the values for model parameters. Next, we study the impact of the infection rates on booster vaccination time to simulate the mutants, and the results are consistent with the facts. Finally, we predict the mean time of completing a round of vaccination worldwide with the help fitting and put forward some suggestions by comparing with the critical time of booster vaccination.

3.
Zhonghua Erke Zazhi ; 61(1):61-65, 2023.
Article in Chinese | MEDLINE | ID: covidwho-2201065

ABSTRACT

Objective: To investigate the clinical characteristics of children with allergic diseases suffering from SARS-CoV-2 Omicron variant strains.

4.
Acta Psychologica Sinica ; 55(3):435-454, 2023.
Article in Chinese | Scopus | ID: covidwho-2201024

ABSTRACT

Humans are facing an unprecedented historical crisis and challenge. To identify the strategies that we can use to cope with historical crisis and challenge, we should investigate two well-studied strategies: "slow strategy, ” which is essentially an investment in the future, and "fast strategy” or "live fast, die young.” According to "The Ant and the Grasshopper, ” Aesop's fable, which is under the pretext of intertemporal choice of social insects, the "slow” rather than the "fast” strategy is recommended for those who want to survive the environmental crisis. Intertemporal choice requires tradeoffs among outcomes whose effects occur at different times. In the commonly accepted language of intertemporal choice, the Ant, whose choice is the "larger but later” (LL) option, is more likely to survive the harsh winter than the Grasshopper, whose choice is the "smaller but sooner” (SS) option. To determine the optimal intertemporal choice strategy that can help us to cope with the COVID-19 pandemic, we included 26, 355 participants from 18 Asian, African, European, American, and Oceanian countries in the present study. We investigated the participants' preferences in intertemporal choice with double-dated mixed outcomes, evaluated the degree of change in their intertemporal choice by differentiating the common currency in peacetime and epidemic time (i.e., two kinds of change indicators used for differentiating currencies and stages, respectively). We then asked them to rate their self-rated surviving achievement in the fight against COVID-19. Considering that individuals' surviving achievements were affected by individual-and religious-level factors, we analyzed all data by using multilevel linear analysis to reflect the data's hierarchical structure. After considering individual differences in personal factors and religious factors, we constructed two-level models to explore the effects of the change in intertemporal choice on self-rated surviving achievement, and measured the moderating role of cultural orientation in terms of Hofstede's six culture dimensions. The findings of the cross-national survey revealed that Change Indicator 1 (∆ currency) and Change Indicator 2 (∆ stage) of Chinese/Singaporeans could jointly predict their self-rated surviving achievement. Meanwhile, only Change Indicator 2 (∆ stage) alone could predict the self-rated surviving achievement of people in the cultural circle that included the India, Malaysia, Philippines, and Nigeria. Neither Change Indicator 1 (∆ currency) nor Change Indicator 2 (∆ stage) of the people in other cultures could significantly predict their self-rated surviving achievement. On the basis of the gist of The Book of Change and the resulting findings, we suggested that 1) how you differentially (flexibly) made an intertemporal choice in peacetime and epidemic time would reflect the extent to which you would survive the war against COVID-19. In addition, 2) the mindset of change might shape the competitive advantage of a nation, such as China, in response to the historical crisis. The closer the cultural distance of a country or nation from China, the greater the possibility of benefitting from a similar competitive advantage. It is our hope that our findings would contribute to answer the question of what are "Psychological Characteristics and Behaviors of Chinese People in Response to Historical Crisis?”. © 2023, Science Press. All rights reserved.

5.
2nd International Conference on Internet of Things and Smart City, IoTSC 2022 ; 12249, 2022.
Article in English | Scopus | ID: covidwho-1919115

ABSTRACT

In this paper, under the influence of the current new corona pneumonia (2019 - nCoV), a prototype system of public emergency command and control service for Beidou's precise new space-time mobile target is proposed. This system uses the Beidou positioning equipment to be embedded in the mobile terminal and further realizes the precise control of the positioning trajectory of logistics vehicles and related personnel through the Beidou new space-time mobile target public emergency command and control service prototype system. At the same time, the grid difference technology is used to improve the positioning accuracy of the moving target so that the unmanned robot in the epidemic area can work more accurately. While reducing the risk of infection, the efficiency of epidemic prevention can be improved through systematic data analysis. The data can be collected through the platform to form an analysis report to provide decision support in the government's epidemic prevention and control work. © 2022 SPIE

6.
Cell Discov ; 8(1):131, 2022.
Article in English | PubMed | ID: covidwho-2160195

ABSTRACT

The immunity of patients who recover from coronavirus disease 2019 (COVID-19) could be long lasting but persist at a lower level. Thus, recovered patients still need to be vaccinated to prevent reinfection by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) or its mutated variants. Here, we report that the inactivated COVID-19 vaccine can stimulate immunity in recovered patients to maintain high levels of anti-receptor-binding domain (RBD) and anti-nucleocapsid protein (NP) antibody titers within 9 months, and high neutralizing activity against the prototype, Delta, and Omicron strains was observed. Nevertheless, the antibody response decreased over time, and the Omicron variant exhibited more pronounced resistance to neutralization than the prototype and Delta strains. Moreover, the intensity of the SARS-CoV-2-specific CD4(+) T cell response was also increased in recovered patients who received COVID-19 vaccines. Overall, the repeated antigen exposure provided by inactivated COVID-19 vaccination greatly boosted both the potency and breadth of the humoral and cellular immune responses against SARS-CoV-2, effectively protecting recovered individuals from reinfection by circulating SARS-CoV-2 and its variants.

7.
BMC Emerg Med ; 22(1):193, 2022.
Article in English | PubMed | ID: covidwho-2153509

ABSTRACT

BACKGROUND: Cardiopulmonary resuscitation (CPR) is an important technique of first aid. It is necessary to be popularized. Large-scale offline training has been affected after the outbreak of Coronavirus disease 2019 (COVID-19). Online training will be the future trend, but the quality of online assessment is unclear. This study aims to compare online and offline evaluations of CPR quality using digital simulator and specialist scoring methods. METHODS: Forty-eight out of 108 contestants who participated in the second Chinese National CPR Skill Competition held in 2020 were included in this study. The competition comprised two stages. In the preliminary online competition, the contestants practiced on the digital simulator while the specialist teams scored live videos. The final competition was held offline, and consisted of live simulator scoring and specialist scoring. The grades of the simulator and specialists in different stages were compared. RESULTS: There was no statistical significance for simulator grades between online and offline competition(37.7 ± 2.0 vs. 36.4 ± 3.4, p = 0.169). For specialists' grades, the video scores were lower than live scores (55.0 ± 1.4 vs. 57.2 ± 1.7, p < 0.001). CONCLUSION: Simulator scoring provided better reliability than specialist scoring in the online evaluation of CPR quality. However, the simulator could only collect quantified data. Specialist scoring is necessary in conjunction with online tests to provide a comprehensive evaluation. A complete and standardized CPR quality evaluation system can be established by combining simulator and specialist contributions.

8.
5th International Conference on Advanced Electronic Materials, Computers and Software Engineering, AEMCSE 2022 ; : 629-633, 2022.
Article in English | Scopus | ID: covidwho-2161367

ABSTRACT

In the context of the global raging of the new coronavirus (COVID-19), to effectively prevent the spread of the new coronavirus in the crowd, many places require the wearing of masks in public places. In response to this problem, this paper proposes a mask wearing detection based on the FasterRCNN algorithm. The method uses ResNet-50 to extract convolution features and selects high-quality suggestion boxes through NMS (non-maximum suppression), which increases the detection of incorrectly wearing masks, which can play a reminder role in practical applications and further improve the prevention of epidemics, and the final experiments show that the wearing of masks can be accurately and efficiently detected through the steps of feature extraction and prediction frame generation. © 2022 IEEE.

9.
AIMS Biophysics ; 9(3):235-245, 2022.
Article in English | Scopus | ID: covidwho-2143963

ABSTRACT

Travel restrictions have become an important epidemic preventive measure, but there are few relevant quantitative studies. In this paper, travel proportion is introduced into a four-compartment model to quantify the spread of COVID-19 in Wuhan. It is found that decreasing the travel proportion can reduce the peak of infections and delay the peak time. When the travel proportion is less than 35%, transmission can be prevented. This method provides reference for other places. © 2022 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)

10.
Zhonghua Er Ke Za Zhi ; 60(12): 1307-1311, 2022 Dec 02.
Article in Chinese | MEDLINE | ID: covidwho-2143847

ABSTRACT

Objective: To understand the characteristics and associated factors of viral nucleic acid conversion in children infected with Omicron variant strain of SARS-CoV-2 in Shanghai. Methods: The clinical symptoms, laboratory results and other data of 177 children infected with SARS-CoV-2 who were hospitalized in Shanghai Children's Hospital, School of Medicine, Shanghai Jiao Tong University (designated hospital for SARS-CoV-2 infection in Shanghai) from April 25 to June 8, 2022 were retrospectively analyzed. According to the chest imaging findings, the children were divided into mild and common type groups. According to their age, the unvaccinated children were divided into<3 years old group and 3-<18 years old group. According to the vaccination status, the children aged 3-<18 year were divided into non-vaccination group, 1-dose vaccination group and 2-dose vaccination group. Comparison between groups was performed by independent sample t-test and analysis of variance, and multivariate linear regression analysis was used for multivariate analysis. Results: Among the 177 children infected with Omicron variant of SARS-CoV-2, 96 were males and 81 were females, aged 3 (1, 6) years. The time of viral nucleic acid negative conversion was (10.3±3.1) days. The 177 children were 138 cases of mild type and 39 cases of common type. Among the children aged 3-<18 years old, 55 cases were not vaccinated, 5 cases received 1-dose and 36 cases received 2-dose vaccination. Among the 36 children who received 2 doses of vaccination, the time of viral nucleic acid negative conversion was shorter in those vaccinated within 6 months than those over 6 months ((7.1±1.9) vs. (10.8±3.0) d, t=-3.23, P=0.004). Univariate analysis showed that the time of nucleic acid negative conversion of SARS-CoV-2 was associated with age, underlying diseases, gastrointestinal symptoms, white blood cell count, proportion of neutrophils, proportion of lymphocytes, and the number of doses of SARS-CoV-2 vaccine (t=3.87, 2.55, 2.04, 4.24, 3.51, 2.92, F=16.27, all P<0.05). Multiple linear regression analysis showed that older age (ß=-0.33, 95% CI -0.485--0.182, P<0.001) and more doses of vaccination (ß=-0.79, 95% CI -1.463--0.120, P=0.021) were associated with shortened nucleic acid negative conversion time in children, while lower lymphocyte proportion (ß=-0.02, 95% CI -0.044--0.002, P=0.031) and underlying diseases (ß=1.52, 95% CI 0.363-2.672, P=0.010) were associated with prolonged nucleic acid negative conversion time in children. Conclusion: The children infected with Omicron variant of SARS-CoV-2 with reduced lymphocyte proportion and underlying diseases may have longer time of viral nucleic acid negative conversion,while children with older age and more doses of vaccination may have shorter time of viral nucleic acid negative conversion.


Subject(s)
COVID-19 , Nucleic Acids , Child , Female , Male , Humans , Child, Preschool , Adolescent , SARS-CoV-2 , COVID-19 Vaccines , Retrospective Studies , China/epidemiology , Translocation, Genetic , Hospitals, Pediatric
11.
Zhonghua Er Ke Za Zhi ; 60(11): 1168-1171, 2022 Nov 02.
Article in Chinese | MEDLINE | ID: covidwho-2099942

ABSTRACT

Objective: To summarize the application experience and the therapeutic effect of Nirmatrelvir-Ritonavir (trade name: Paxlovid) for COVID-19 in children. Methods: A retrospective analysis was performed on the clinical data, including collecting the clinical manifestations and clinical outcomes, dynamically monitoring the blood routine, hepatic and renal function and SARS-CoV-2 nucleic acid results, and observing the related side effects during the treatment, etc, of 3 cases with COVID-19 treated with Paxlovid admitted to Shanghai Children's Hospital (designated referral hospital for SARS-CoV-2 infection in Shanghai) from May 1st to June 1st, 2022. Results: The 3 cases were 12, 14, 17 years of age, among which 2 cases were males, 1 case was female. All 3 cases were mild cases with underlying diseases and risk of developing into severe COVID-19, with symptoms of high fever, sore throat and dry cough. The treatment of Paxlovid at 3rd day of symptom onset contributed to the symptom-free after 1-2 days and negative results of SARS-CoV-2 nucleic acid after 2-4 days. All patients had no adverse manifestations of gastrointestinal tract and nervous system but a case had little skin rashes, which recovered after the withdrawal of Paxlovid. Three cases had normal hepatic and renal function during the Paxlovid treatment. At 3 months after discharge, no clinical manifestations of post-COVID syndrome were found in all 3 cases. Conclusion: Paxlovid was effective and relatively safe in the treatment of 3 children with COVID-19.


Subject(s)
COVID-19 , Nucleic Acids , Child , Male , Humans , Female , SARS-CoV-2 , Ritonavir/therapeutic use , Retrospective Studies , China
12.
Journal of Gastroenterology and Hepatology ; 37(Supplement 1):251, 2022.
Article in English | EMBASE | ID: covidwho-2088264

ABSTRACT

Background and Aim: Poor bowel preparation for colonoscopy leads to aborted procedures and reduced polyp and cancer detection rates, leading to increased risk for patients, inconvenience to families, and additional resource use in a burgeoning health care system. The UK's Joint Advisory Group on GI Endoscopy suggests that units have a > 90% rate of adequate preparation for successful accreditation. To improve patient education and poor preparation rates at our institution, the Project GEO - GE Online video platform was introduced in 2019. This consists of five Vimeo-hosted short educational videos to help prepare patients and their carers for their endoscopy and colonoscopy procedures, including diet and bowel preparation. We aimed to examine key performance indicators in colonoscopy, including bowel preparation, before and after the introduction of GEO. Method(s): We performed a retrospective audit in a metropolitan teaching hospital in Queensland that performs more than 6000 colonoscopies per year. A link to GEO, a set of culturally sensitive, patient-centered videos, was sent in a letter, an email, and SMS to patients preparing for endoscopy and colonoscopy. Previously, patients were required to attend the hospital and were given printed handouts for information. This audit obtained Provation MD data for a 6-month period in 2019, before the initiation of GEO, and a 6-month period after, in 2021. Incomplete colonoscopies or those without preparation reporting were excluded from the analysis. Statistics were performed with chi2 analysis, and significance was set as a P value of < 0.05. Result(s): In the 6 months of 2019, before the GEO videos, a total of 2798 colonoscopies were performed. After colonoscopies with missing data and incomplete procedures were removed, there were 2031 colonoscopies for analysis. A total of 2277 colonoscopies were included in the post-GEO dataset. Results for bowel preparation and sessile serrated adenoma (SSA) detection rate before and after GEO are shown in Table 1. Conclusion(s): Project GEO has shown a significant reduction in poor preparation rates in a high-performing center and reduced repeat procedures, while not compromising SSA detection rate. Poor preparation often leads to abandonment of procedures, waste of health resources, and significant risk and inconvenience for patients, carers, and the system provider. Project GEO has had excellent patient feedback that it is improving patient and carer education and understanding, is improving compliance, and is convenient. This has led to a massive reduction in face-to-face outpatient visits (> 10 000). GEO is also COVID-19-friendly, culturally sensitive, and reaches our patients in distant regional and rural Queensland.

13.
European Review for Medical and Pharmacological Sciences ; 26(15):5574-5580, 2022.
Article in English | Web of Science | ID: covidwho-2081706

ABSTRACT

- OBJECTIVE: The COVID-19 pan-demic has influenced regular medical proce-dures and health-seeking behaviors. In this study, we aimed to investigate the influence of the COVID-19 pandemic on the presentation and prognosis of acute ischemic stroke (AIS) pa-tients in county-level stroke centers.PATIENTS AND METHODS: We retrospec-tively collected AIS patients during the strict lockdown period (January 24, 2020, to March 27, 2020) and the corresponding "new normal" pe-riod (2021) of the COVID-19 pandemic. Patients seen during the same timeframe in 2019 were en-rolled as controls. Statistical analysis was con-ducted to compare the clinical characteristics of AIS patients who presented during the lockdown and new normal periods and those who present-ed during the pre-COVID-19 pandemic period.RESULTS: A total of 134 AIS patients present-ed during the lockdown period (the 2020 group), 207 patients in the pre-COVID-19 period (the 2019 group) and 201 patients in the "new normal" period (the 2021 group). Compared to the 2019 group, there was approximately 1/3 reduction in the number of patients who presented during the lockdown period, while the number of patients who received IVT or EVT was similar between the two groups. The number of patients, baseline characteristics, workflow intervals and clinical outcomes presented during the "new normal" period were similar between the 2019 and 2021 groups. Logistic regression showed that lock -down or new normal status were not risk factors associated with a poor outcome at 90 days.CONCLUSIONS: In county-level city stroke centers, the COVID-19 lockdown resulted in a reduction in the number of patients with AIS ad-mitted to the hospital but had no effect on pa-tients treated with IVT or EVT. Lockdown or new normal status did not influence the prognosis of AIS patients.

14.
Aims Biophysics ; 9(3):235-245, 2022.
Article in English | Web of Science | ID: covidwho-2071963

ABSTRACT

Travel restrictions have become an important epidemic preventive measure, but there are few relevant quantitative studies. In this paper, travel proportion is introduced into a four-compartment model to quantify the spread of COVID-19 in Wuhan. It is found that decreasing the travel proportion can reduce the peak of infections and delay the peak time. When the travel proportion is less than 35%, transmission can be prevented. This method provides reference for other places.

15.
International Journal of Statistics in Medical Research ; 11:51-58, 2022.
Article in English | Scopus | ID: covidwho-2056197

ABSTRACT

The new wave of COVID-19 in Hong Kong, China was overwhelming again by “dynamic zero” strategy and non-pharmaceutical interventions (DZ-NPIs), which makes a time challenge to control the variant of this epidemic. We describe the variant of Covid-19 in Kong Hong to the infected proportion of the population, cumulative confirmed cases, cumulative deaths and current hospitalizations by age group via statistical measure firstly, then establish time series model for fitting the accumulative confirmed cases, further to predict the trend for searching out possible turning time-points. Non-linear regression model is created to feature the deaths series, then we figure out the parameters and educe the controlling condition for this epidemic. We expect our data-driven modeling process providing some insights to the controlling strategy for the new wave of the Covid-19 variant in Hong Kong, even in the mainland of China © 2022 Ding and Xiang;Licensee Lifescience Global. This is an open access article licensed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution and reproduction in any medium, provided the work is properly cited

16.
Current Bioinformatics ; 17(3):217-237, 2022.
Article in English | EMBASE | ID: covidwho-2032698

ABSTRACT

Drug repositioning invovles exploring novel usages for existing drugs. It plays an important role in drug discovery, especially in the pre-clinical stages. Compared with the traditional drug discovery approaches, computational approaches can save time and reduce cost significantly. Since drug repositioning relies on existing drug-, disease-, and target-centric data, many machine learning (ML) approaches have been proposed to extract useful information from multiple data resources. Deep learning (DL) is a subset of ML and appears in drug repositioning much later than basic ML. Nevertheless, DL methods have shown great performance in predicting potential drugs in many studies. In this article, we review the commonly used basic ML and DL approaches in drug repositioning. Firstly, the related databases are introduced, while all of them are publicly available for researchers. Two types of preprocessing steps, calculating similarities and constructing networks based on those data, are discussed. Secondly, the basic ML and DL strategies are illustrated separately. Thirdly, we review the latest studies focused on the applications of basic ML and DL in identifying potential drugs through three paths: drug-disease associations, drug-drug interactions, and drug-target interactions. Finally, we discuss the limitations in current studies and suggest several directions of future work to address those limitations.

17.
IEEE Sensors Journal ; : 1-1, 2022.
Article in English | Scopus | ID: covidwho-1992662

ABSTRACT

Human-beings are suffering from the rapid spread of COVID-19 throughout the world. In order to quickly identify, quarantine and cure the infected people, and to stop further infections, it is crucial to expose those origins who have been infected but are asymptomatic. However, this task is not easy, especially when the rigid security and privacy constraints on health records are taken into consideration. In this paper, we develop a new method to solve this problem. In the outbreak of a disease like COVID-19, the proposed method can find hidden infected people (or communities) through volunteered share of health data by some mobile users. Such volunteers only reveal whether they are healthy or infected e.g. through they mobile apps. This approach minimises health data disclosure and preserves privacy for the others. There are three steps in the proposed method. First, we borrow the idea from traditional epidemiology and design a novel algorithm to estimate the number of infection origins based on a Susceptible-Infected model. Second, we introduce the concept of ’heavy centre’to locate those origins. The probability of each node being infected will then be derived by building a spreading model based on the origins. To evaluate our method, we conduct a series of experiments on various networks with different structures. We examine the performance in estimating the number of origins as well as their origins. The results show that the proposed method yields higher accuracies than the existing methods, even when the fraction of volunteers is small. IEEE

18.
Eur Rev Med Pharmacol Sci ; 26(15): 5574-5580, 2022 Aug.
Article in English | MEDLINE | ID: covidwho-1988904

ABSTRACT

OBJECTIVE: The COVID-19 pandemic has influenced regular medical procedures and health-seeking behaviors. In this study, we aimed to investigate the influence of the COVID-19 pandemic on the presentation and prognosis of acute ischemic stroke (AIS) patients in county-level stroke centers. PATIENTS AND METHODS: We retrospectively collected AIS patients during the strict lockdown period (January 24, 2020, to March 27, 2020) and the corresponding "new normal" period (2021) of the COVID-19 pandemic. Patients seen during the same timeframe in 2019 were enrolled as controls. Statistical analysis was conducted to compare the clinical characteristics of AIS patients who presented during the lockdown and new normal periods and those who presented during the pre-COVID-19 pandemic period. RESULTS: A total of 134 AIS patients presented during the lockdown period (the 2020 group), 207 patients in the pre-COVID-19 period (the 2019 group) and 201 patients in the "new normal" period (the 2021 group). Compared to the 2019 group, there was approximately 1/3 reduction in the number of patients who presented during the lockdown period, while the number of patients who received IVT or EVT was similar between the two groups. The number of patients, baseline characteristics, workflow intervals and clinical outcomes presented during the "new normal" period were similar between the 2019 and 2021 groups. Logistic regression showed that lockdown or new normal status were not risk factors associated with a poor outcome at 90 days. CONCLUSIONS: In county-level city stroke centers, the COVID-19 lockdown resulted in a reduction in the number of patients with AIS admitted to the hospital but had no effect on patients treated with IVT or EVT. Lockdown or new normal status did not influence the prognosis of AIS patients.


Subject(s)
COVID-19 , Ischemic Stroke , Stroke , COVID-19/epidemiology , Communicable Disease Control , Humans , Ischemic Stroke/diagnosis , Ischemic Stroke/epidemiology , Pandemics , Prognosis , Retrospective Studies , Stroke/epidemiology , Stroke/therapy
19.
Ieee Transactions on Systems Man Cybernetics-Systems ; : 11, 2022.
Article in English | Web of Science | ID: covidwho-1985509

ABSTRACT

The COVID-19 crisis has led to an unusually large number of commercial aircraft being currently parked or stored. For airlines, airports, and civil aviation authorities around the world, monitoring, and protecting these parked aircraft to prevent them from causing human-made damage are becoming urgent problems that are receiving increasing attention. In this study, we use thermal infrared monitoring videos to establish a framework for individual surveillance around parked aircraft by proposing a human action recognition (HAR) algorithm. As the focus of this article, the proposed HAR algorithm seamlessly integrates a preprocessing module in which a novel data structure is constructed to introduce spatiotemporal information of the action;a convolutional neural network-based module for spatial feature extraction;a triple-layer convolutional long short-term memory network for temporal feature extraction;and two fully connected layers for classification. Moreover, because no infrared dataset is available for the HAR task on airport grounds at nighttime, we present a dataset called IIAR-30, which consists of eight action categories that frequently occur on airport grounds and 2000 video clips. The experimental results on the IIAR-30 dataset demonstrated that the recognition accuracy of the proposed method was higher than 96%. We also further evaluated the effectiveness of the proposed method by comparing it with five baselines and four other methods.

20.
Environmental Science-Nano ; : 10, 2022.
Article in English | Web of Science | ID: covidwho-1978025

ABSTRACT

Since the emergence of coronavirus disease 2019 (COVID-19), this highly contagious disease has ravaged the world, cumulatively causing millions of deaths and huge economic losses. As the culprit of COVID-19, severe acute respiratory syndrome beta-coronavirus 2 (SARS-CoV-2) is highly infectious and pathogenic, which has caused extreme panic worldwide. Early and rapid monitoring of SARS-CoV-2 has a significant role in suppressing the pandemic and reducing the virus's lethality. In our work, we prepared a self-enhanced ruthenium complex linked to zeolitic imidazole framework-8 (ZIF-8) and used it as an electrochemiluminescence (ECL) emitter. Additionally, a double-stranded specific nuclease (DSN)-assisted target RNA cycling with catalytic hairpin assembly (CHA) signal amplification technology was used to achieve the conversion of target RNA concentration to double-stranded DNA (dsDNA) output which significantly improved the detection sensitivity of target RNA under environmental conditions and in real human serum samples. In addition, we also combined the trans-cleavage property of CRISPR-Cas12a with the adsorption property of C3N4 on a ferrocene (Fc)-labeled DNA probe and obtained target RNA-dependent ECL signals. The reliable detection protocol achieved the transformation of SARS-CoV-2 RNA concentration to ECL responses, obtaining a limit of detection (LOD) of 0.67 fM with high specificity and reproducibility, which was of guiding significance for current detection methods of mutant SARS-CoV-2 and universal RNA.

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