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1.
Engineering Economics ; JOUR(4):444-457, 33.
Article in English | Scopus | ID: covidwho-2100286

ABSTRACT

The massive spread of the COVID-19 outbreak has widely disrupted business activities around the world. In such a context, more manufacturing enterprises have to turn to online sales to restore sales and workforce. However, the actual effects of above relationships are still unknown. The aim of this study is to analyze whether and how online sales affect sales and workforce recovery from COVID-19. Meanwhile, we deeply explore the mediating effect of cash flow adequacy and the moderating effect of firm size. Drawing from a cross-country survey with 2714 manufacturing enterprises during the COVID-19 pandemic and controlling for self-selection bias, we find an inverted U-shaped effect of online sales on sales and workforce recovery. Online sales also exert an inverted U-shaped effect on cash flow adequacy, whereas this effect is weaker for small and medium enterprises (SMEs). Furthermore, cash flow adequacy positively facilitates sales and workforce recovery, indicating the role of cash flow adequacy in partially mediating the relationship between online sales and recovery. In addition, we confirm that firm size moderates the indirect effect of online sales on sales and workforce recovery through cash flow adequacy. This study not only expands e-commerce and emergency management research domain and enriches the results of related research, but also provides management implications for the recovery of manufacturing enterprises from the perspective of online sales during the COVID-19 pandemic. © 2022, Kauno Technologijos Universitetas. All rights reserved.

2.
Zhonghua Er Ke Za Zhi ; 60(11): 1163-1167, 2022 Nov 02.
Article in Chinese | MEDLINE | ID: covidwho-2099938

ABSTRACT

Objective: To summarize the management and short-term outcomes of neonates delivered by mothers infected with SARS-CoV-2 Omicron variant. Methods: A retrospective study was performed on 158 neonates born to mothers infected with SARS-CoV-2 Omicron variant admitted to the isolation ward of Children's Hospital of Fudan University from March 15th, 2022 to May 30th, 2022. The postnatal infection control measures for these neonates, and their clinical characteristics and short-term outcomes were analyzed. They were divided into maternal symptomatic group and maternal asymptomatic group according to whether their mothers had SARS-CoV-2 symptoms. The clinical outcomes were compared between the 2 groups using Rank sum test and Chi-square test. Results: All neonates were under strict infection control measures at birth and after birth. Of the 158 neonates, 75 (47.5%) were male. The gestational age was (38+3±1+3) weeks and the birth weight was (3 201±463)g. Of the neonates included, ten were preterm (6.3%) and the minimum gestational age was 30+1 weeks. Six neonates (3.8%) had respiratory difficulty and 4 of them were premature and required mechanical ventilation. All 158 neonates were tested negative for SARS-COV-2 nucleic acid by daily nasal swabs for the first 7 days. A total of 156 mothers (2 cases of twin pregnancy) infected with SARS-CoV-2 Omicron variant, the time from confirmed SARS-CoV-2 infection to delivery was 7 (3, 12) days. Among them, 88 cases (56.4%) showed clinical symptoms, but none needed intensive care treatment. The peripheral white blood cell count of the neonates in maternal symptomatic group was significantly higher than that in maternal symptomatic group (23.0 (18.7, 28.0) × 109 vs. 19.6 (15.4, 36.6) × 109/L, Z=2.44, P<0.05). Conclusions: Neonates of mothers infected with SARS-CoV-2 Omicron variant during third trimester have benign short-term outcomes, without intrauterine infection through vertical transmission. Strict infection control measures at birth and after birth can effectively protect these neonates from SARS-CoV-2 infection.


Subject(s)
COVID-19 , Pregnancy Complications, Infectious , Female , Humans , Infant , Infant, Newborn , Male , Pregnancy , Mothers , Pregnancy Complications, Infectious/diagnosis , Pregnancy Complications, Infectious/prevention & control , Retrospective Studies , SARS-CoV-2
3.
Life Sci Alliance ; 6(1), 2023.
Article in English | PubMed | ID: covidwho-2081440

ABSTRACT

Coronavirus disease 2019 (COVID-19) patients with liver dysfunction (LD) have a higher chance of developing severe and critical disease. The routine hepatic biochemical parameters ALT, AST, GGT, and TBIL have limitations in reflecting COVID-19-related LD. In this study, we performed proteomic analysis on 397 serum samples from 98 COVID-19 patients to identify new biomarkers for LD. We then established 19 simple machine learning models using proteomic measurements and clinical variables to predict LD in a development cohort of 74 COVID-19 patients with normal hepatic biochemical parameters. The model based on the biomarker ANGL3 and sex (AS) exhibited the best discrimination (time-dependent AUCs: 0.60-0.80), calibration, and net benefit in the development cohort, and the accuracy of this model was 69.0-73.8% in an independent cohort. The AS model exhibits great potential in supporting optimization of therapeutic strategies for COVID-19 patients with a high risk of LD. This model is publicly available at https://xixihospital-liufang.shinyapps.io/DynNomapp/.

5.
American Journal of Transplantation ; 22(Supplement 3):637-638, 2022.
Article in English | EMBASE | ID: covidwho-2063471

ABSTRACT

Purpose: Solid organ transplant recipients (SOTRs) are at increased risk for severe COVID-19 and exhibit lower antibody responses to SARS-CoV-2 vaccines. This study aimed to determine if pre-vaccination cytokine levels are associated with antibody response to SARS-CoV-2 vaccination. Method(s): A cross-sectional study was performed among 58 SOTRs before and after two-dose mRNA vaccine series, 35 additional SOTRs before and after a third vaccine dose, with comparison to 16 healthy controls (HCs). Anti-spike antibody was assessed using the IgG Euroimmun ELISA. Electrochemiluminescence detectionbased multiplexed sandwich immunoassays were used to quantify plasma cytokine and chemokine concentrations (n=20 analytes). Concentrations between SOTRs and HCs, stratified by ultimate antibody response to the vaccine, were compared using Wilcoxon-rank-sum test with false discovery rates (FDR) computed to correct for multiple comparisons. Result(s): In the study population, 100% of HCs, 59% of SOTRs after two doses and 63% of SOTRs after three doses had a detectable antibody response. Multiple baseline cytokines were elevated in SOTRs versus HCs. There was no significant difference in cytokine levels between SOTRs with high vs low-titer antibodies after two doses of vaccine. However, as compared to poor antibody responders, SOTRs who went on to develop a high-titer antibody response to a third dose of vaccine had significantly higher pre-third dose levels of several innate immune cytokines including IL-17, IL-2Ra, IL-6, IP-10, MIP-1alpha, and TNF-alpha (FDR <0.05). Conclusion(s): A specific inflammatory profile or immune state may identify which SOTRs are likely to develop stronger sero-response and possible protection after a third dose of SARS-CoV-2 vaccine.

6.
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.

7.
4th IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2022 ; : 84-89, 2022.
Article in English | Scopus | ID: covidwho-2052018

ABSTRACT

Facial age estimation is one of the most important tasks in the field of face recognition and recommendation system. Since the COVID-19 pandemic, people have been required to wear masks, which can be a challenge for traditional recognition methods. In this paper, an improved convolutional neural network architecture based on MobileNet is proposed to perform age estimation. For the challenge of masked faces, an innovative mask generation method using face keypoint detection is adopted, extracting the key points of the faces in order to add synthetic masks to simulate the real situations. Then we compare the estimation results of the original images and the synthetic images. Our method is applied to the WIKI Face dataset containing more than 150,000 images, and achieves MAE of 3.79 and 6.54 on unmasked and masked faces, respectively, which demonstrates the effectiveness of the proposed model. © 2022 IEEE.

8.
J Ethnopharmacol ; : 115763, 2022.
Article in English | PubMed | ID: covidwho-2049460

ABSTRACT

ETHNOPHARMACOLOGICAL RELEVANCE: Acute lung injury (ALI) is one of the fatal complications of respiratory virus infections such as influenza virus and coronavirus, which has high clinical morbidity and mortality. Jinhua Qinggan granules (JHQG) has been approved by China Food and Drug Administration in the treatment of H1N1 influenza and mild or moderate novel coronavirus disease 2019 (COVID-19), which is an herbal formula developed based on Maxingshigan decoction and Yinqiao powder that have been used to respiratory diseases in China for thousands of years. However, the underlying mechanism of JHQG in treating infectious diseases remains unclear. AIM OF THE STUDY: This study investigated the effects of JHQG on neutrophil apoptosis and key signaling pathways in lipopolysaccharide (LPS) -induced ALI mice in order to explore its mechanism of anti-inflammation. MATERIALS AND METHODS: The effect of JHQG on survival rate was observed in septic mouse model by intraperitoneal injection of LPS (20 mg/kg). To better pharmacological evaluation, the mice received an intratracheal injection of 5 mg/kg LPS. Lung histopathological changes, wet-to-dry ratio of the lungs, and MPO activity in the lungs and total protein concentration, total cells number, TNF-α, IL-1β, IL-6, and MIP-2 levels in BALF were assessed. Neutrophil apoptosis rate was detected by Ly6G-APC/Annexin V-FITC staining. Key proteins associated with apoptosis including caspase 3/7 activity, Bcl-xL and Mcl-1 were measured by flow cytometry and confocal microscope, respectively. TLR4 receptor and its downstream signaling were analyzed by Western blot assay and immunofluorescence, respectively. RESULTS: JHQG treatment at either 6 or 12 g/kg/day resulted in 20% increase of survival in 20 mg/kg LPS-induced mice. In the model of 5 mg/kg LPS-induced mice, JHQG obviously decreased the total protein concentration in BALF, wet-to-dry ratio of the lungs, and lung histological damage. It also attenuated the MPO activity and the proportion of Ly6G staining positive neutrophils in the lungs, as well as the MIP-2 levels in BALF were reduced. JHQG inhibited the expression of Mcl-1 and Bcl-xL and enhanced caspase-3/7 activity, indicating that JHQG partially acted in promoting neutrophil apoptosis via intrinsic mitochondrial apoptotic pathway. The levels of TNF-α, IL-1β, and IL-6 were significantly declined in LPS-induced mice treated with JHQG. Furthermore, JHQG reduced the protein expression of TLR4, MyD88, p-p65 and the proportion of nuclei p65, suggesting that JHQG treatment inhibited TLR4/MyD88/NF-κB pathway. CONCLUSION: JHQG reduced pulmonary inflammation and protected mice from LPS-induced ALI by promoting neutrophil apoptosis and inhibition of TLR4/MyD88/NF-κB pathway, suggesting that JHQG may be a promising drug for treatment of ALI.

9.
HemaSphere ; 6:3982, 2022.
Article in English | EMBASE | ID: covidwho-2032174

ABSTRACT

Background: Rituximab is one of the second-line treatments for ITP. At present, there are few studies on low-dose rituximab, lacking of a large number of prospective and randomized trials to support the efficacy and safety of lowdose rituximab, especially in children's ITP. Influenced by COVID-19, we used two low-dose rituximab regimens before and after March 2020 for second-line treatment of children's ITP. Aims: To compare the efficacy and safety of two different regimens for low-dose rituximab of children patients with chronic /refractory ITP, so as to provide basis for clinical treatment. Methods: 83 children patients were enrolled in this study and non-randomly assigned to receive 100mg/200mg (body weight 30kg) rituximab weekly for 4 weeks (group A, 53 cases) or a single dose of 375mg / m2 rituximab (group B, 30cases). The study was follow-up for at least half a year. Results: The baseline data of group A and B were the same. For group A: Overall and complete response (OR and CR) rates were 35.8% and 15%, respectively;the side effects rate is 3.8%. In responders, the median time to response was 4 (1 -12) weeks, with a median follow-up time of 12 (6 ∼ 36) months, 6 of 19 responders (31.6%) relapsed. For group B: OR and CR rates were 36.7% and 23%, respectively;the side effects rate is 10%. In responders, the median time to response was 1 (1 ∼ 4) weeks, with a median follow-up time of 11.5 (6 ∼ 17) months, 4 of 11 responders (36.4%) relapsed. No significant difference in the OR, NR, relapse free survival and incidence of side effects was observed in patients between the two groups. Image: Summary/Conclusion: The two low-dose rituximab regimens in the treatment of ITP in children both are safe and effective;The single-agent scheme is more recommended because of easier use and not increasing safety events.

11.
2022 Conference on Practice and Experience in Advanced Research Computing: Revolutionary: Computing, Connections, You, PEARC 2022 ; 2022.
Article in English | Scopus | ID: covidwho-1986413

ABSTRACT

Anvil is a new XSEDE advanced capacity computational resource funded by NSF. Designed with a systematic strategy to meet the ever increasing and diversifying research needs for advanced computational capacity, Anvil integrates a large capacity high-performance computing (HPC) system with a comprehensive ecosystem of software, access interfaces, programming environments, and composable services in a seamless environment to support a broad range of current and future science and engineering applications of the nation's research community. Anchored by a 1000-node CPU cluster featuring the latest AMD EPYC 3rd generation (Milan) processors, along with a set of 1TB large memory and NVIDIA A100 GPU nodes, Anvil integrates a multi-tier storage system, a Kubernetes composable subsystem, and a pathway to Azure commercial cloud to support a variety of workflows and storage needs. Anvil was successfully deployed and integrated with XSEDE during the world-wide COVID-19 pandemic. Entering production operation in February 2022, Anvil will serve the nation's science and engineering research community for five years. This paper describes the Anvil system and services, including its various components and subsystems, user facing features, and shares the Anvil team's experience through its early user access program from November 2021 through January 2022. © 2022 Owner/Author.

12.
STAT ; 11(1), 2022.
Article in English | Web of Science | ID: covidwho-1935735

ABSTRACT

In recent days, a combination of finite mixture model (FMM) and hidden Markov model (HMM) is becoming popular for partitioning heterogeneous temporal data into homogeneous groups (clusters) with homogeneous time points (regimes). The regression mixtures commonly considered in this approach can also accommodate for covariates present in data. The classical fixed covariate approach, however, may not always serve as a reasonable assumption as it is incapable of accounting for the contribution of covariates in cluster formation. This paper introduces a novel approach for detecting clusters and regimes in time series data in the presence of random covariates. The computational challenges related to the proposed model has been discussed, and several simulation studies are performed. An application to United States COVID-19 data yields meaningful clusters and regimes.

13.
American Journal of Respiratory and Critical Care Medicine ; 205(1), 2022.
Article in English | EMBASE | ID: covidwho-1927761

ABSTRACT

RATIONALE : Treatment of obstructive sleep apnea (OSA) with positive airway pressure (PAP) therapy is well accepted. Despite its well documented efficacy, adherence remains an obstacle for optimal patient outcomes. Favorable user experience is predicted to positively impact adherence. Van Ryswyk et al. (2019), concluded that early CPAP adherence can be a predictive value to identify those at highest risk of non-adherence to long-term CPAP therapy. This multi-center, single arm study aims to assess the user experience of a novel PAP device (AirSense 11, ResMed Ltd, Sydney, Australia) in comparison to AirSense 10 (ResMed Ltd, Sydney, Australia) in the home environment. The AirSense 11 device is distinguished by an improved touchscreen user interface and ergonomic design features. METHODS : Surveys were distributed to gather feedback on user experience of AirSense 11 and AirSense 10, over 7 nights in the home environment. Those enrolled were experienced PAP users established on the AirSense 10 device. The study was executed in two key phases;the first in Sydney, Australia and second in San Diego, USA. Ethics approval was obtained for both sites and the study is registered with clinicaltrials.gov (NCT04744038). A telehealth component was introduced to the US cohort at the initial setup to adhere to COVID-19 mandates. RESULTS : Efficacy data extracted from the device recordings showed no significant difference in parameters of AHI, leak, pressures and usage. Surveys were completed by 108 evaluable study participants. Data could not be combined across both sites for all categories due to changes made in the user interface between Sydney and San Diego. The data obtained from the surveys yielded insights into ease of use, ease of use of the tube, ease of starting therapy, confidence in setting up the device in the home environment, breathing comfort, noise, humidification performance and overall performance (Figure 1). Ratings for ease of starting therapy, breathing comfort, noise and humidification performance were significantly better on AirSense 11. No significance was found in other categories. Continued analysis of the data will provide further insights between AirSense 10 and AirSense 11. CONCLUSION : The results of this analysis indicate that both PAP devices preformed well in the home environment. However AirSense 11 showed superiority in areas such as ease of starting therapy, breathing comfort, noise and humification performance. Improvements to initial user experience may lead to improved short- and long-term compliance. Future studies will utilize telemonitoring capabilities to explore these outcomes. (Table Presented).

14.
Ieee Access ; 10:56591-56610, 2022.
Article in English | Web of Science | ID: covidwho-1895881

ABSTRACT

Unmanned aerial vehicles (UAVs) extend the traditional ground-based Internet of Things (IoT) into the air. UAV mobile edge computing (MEC) architectures have been proposed by integrating UAVs into MEC networks during the current novel coronavirus disease (COVID-19) era. UAV mobile edge computing (MEC) shares personal data with external parties (such as edge servers) during intelligent medical analytics. However, this technique raises privacy concerns about patients' health data. More recently, the concept of federal learning (FL) has been set up to protect mobile user data privacy. Compared to traditional machine learning, federated learning requires a decentralized distribution system to enhance trust for UAVs. Blockchain technology provides a secure and reliable solution for FL settings between multiple untrusted parties with anonymous, immutable, and distributed features. Therefore, blockchain-enabled FL provides both theories and techniques to improve the performance of intelligent UAV edge computing networks from various perspectives. This survey begins by discussing the current state of research on blockchain and FL. Then, compare the leading technologies and limitations. Second, we will discuss how to integrate blockchain and FL into UAV edge computing networks and the associated challenges and solutions. Finally, we discuss the fundamental research challenges and future directions.

15.
Topics in Antiviral Medicine ; 30(1 SUPPL):329-330, 2022.
Article in English | EMBASE | ID: covidwho-1879986

ABSTRACT

Background: The prevalence of vaccinated, previously infected, and individuals at risk of SARS-CoV-2 infection is important for epidemiologic studies and public health interventions. Asymptomatic infections and reluctance to disclose vaccination status hinder accurate assessments of the current state of the epidemic. Since COVID-19 vaccines generate immune responses to spike (S1), but not nucleocapsid (N), it is possible to differentiate between vaccinated, infected, and unexposed individuals by comparing antibody reactivity to each antigen. The MSD V-Plex SARS-CoV-2 IgG assay can potentially differentiate each state in one test by simultaneously evaluating IgG reactivity to the S1, receptor binding domain (RBD), and N proteins. Methods: The MSD assay was validated with three sample sets: known vaccination with no previous infection (n=158);known infected and not vaccinated (n=157);and samples collected prior to the COVID-19 pandemic in 2016 (n=144). Of the previously infected individuals, 15 (9.6%) were hospitalized;sample collection occurred a median of 48 days after a PCR-positive result. Using an algorithm, samples with positive results on both S1 and RBD but negative on N were classified as vaccinated. Samples with a positive result on all three proteins were considered to be infected with the possibility of subsequent vaccination. Any other result was classified as unexposed. Sensitivity and specificity for each state were calculated. Results: Reactivity to each antigen is shown in the figure. 100% (95% confidence interval [CI] 97.7-100), 92% (95% CI 86.3-95.5), and 0.7% (95% CI 0.02-3.8) of vaccinated, infected, and unexposed samples were positive for S1. 100% (95% CI 97.7-100.0%), 91% (95% CI 85.5-95.0%), and 0.7% (95% CI 0.02-3.8%) of vaccinated, infected and unexposed samples were positive for RBD. 0% (95% CI 0-2.3), 86% (95% CI 79.6-91.0), and 2.1% (95% CI 0.4-6.0) of vaccinated, infected and unexposed samples were positive for N. Algorithm sensitivity and specificity for classification of vaccinated samples were 100% (95% CI 97.7-100) and 96.7 (95% CI 94-98.4). For the classification of samples from previously infected individuals, sensitivity and specificity were 83.4% (95% CI 76.7-88.9) and 100% (95% CI 98.8-100). Conclusion: This study establishes the sensitivity and specificity for a high-throughput assay ideal for SARS-CoV-2 seroprevalence studies. Future research should focus on applying this assay in health care settings to guide practice and policy to mitigate the pandemic.

16.
Networks and Heterogeneous Media ; 17(3):401-425, 2022.
Article in English | Scopus | ID: covidwho-1875877

ABSTRACT

Uncertainty in data is certainly one of the main problems in epidemiology, as shown by the recent COVID-19 pandemic. The need for efficient methods capable of quantifying uncertainty in the mathematical model is essential in order to produce realistic scenarios of the spread of infection. In this paper, we introduce a bi-fidelity approach to quantify uncertainty in spatially dependent epidemic models. The approach is based on evaluating a high-fidelity model on a small number of samples properly selected from a large number of evaluations of a low-fidelity model. In particular, we will consider the class of multiscale transport models recently introduced in [13, 7] as the high-fidelity reference and use simple two-velocity discrete models for lowfidelity evaluations. Both models share the same diffusive behavior and are solved with ad-hoc asymptotic-preserving numerical discretizations. A series of numerical experiments confirm the validity of the approach. © 2021 Giulia Bertaglia, Liu Liu, Lorenzo Pareschi and Xueyu Zhu.

17.
19th IEEE International Symposium on Biomedical Imaging, ISBI 2022 ; 2022-March, 2022.
Article in English | Scopus | ID: covidwho-1846118

ABSTRACT

To aid clinicians diagnose diseases and monitor lesion conditions more efficiently, automated lesion segmentation is a convincing approach. As it is time-consuming and costly to obtain pixel-level annotations, weakly-supervised learning has become a promising trend. Recent works based on Class Activation Mapping (CAM) achieve success for natural images, but they have not fully utilized the intensity property in medical images such that the performance may not be good enough. In this work, we propose a novel weakly-supervised lesion segmentation framework with self-guidance by CT intensity clustering. The proposed method takes full advantages of the properties that CT intensity represents the density of materials and partitions pixels into different groups by intensity clustering. Clusters with high lesion probability determined by the CAM are selected to generate lesion masks. Such lesion masks are used to derive self-guided loss functions which improve the CAM for better lesion segmentation. Our method achieves the Dice score of 0.5874 on the COVID-19 dataset and 0.4534 on the Liver Tumor Segmentation Challenge (LiTS) dataset. © 2022 IEEE.

18.
PubMed; 2021.
Preprint in English | PubMed | ID: ppcovidwho-333741

ABSTRACT

BACKGROUND: The viral entry of SARS-CoV-2 requires host-expressed TMPRSS2 to facilitate the viral spike (S) protein priming. OBJECTIVES: To test the hypothesis that Mg treatment leads to DNA methylation changes in TMPRSS2 . METHODS: This study is nested within the Personalized Prevention of Colorectal Cancer Trial (PPCCT), a double-blind 2x2 factorial randomized controlled trial, which enrolled 250 participants from Vanderbilt University Medical Center. Target doses for both Mg and placebo arms were personalized. RESULTS: We found that 12-week of personalized Mg treatment significantly increased 5-mC methylation at cg16371860 (TSS1500, promoter) by 7.2% compared to placebo arm (decreased by 0.1%) in those aged < 65 years old. The difference remained statistically significant after adjusting for age, sex and baseline methylation as well as FDR correction (FDR-adjusted P =0.014). Additionally, Mg treatment significantly reduced 5-hmC level at cg26337277 (close proximity to TSS200 and 5'UTR, promoter) by 2.3% compared to increases by 7.1% in the placebo arm after adjusting for covariates in those aged < 65 years old ( P =0.003). The effect remained significant at FDR of 0.10 (adjusted P value=0.088). CONCLUSION: Among individuals aged younger than 65 years with the Ca:Mg intake ratios equal to or over 2.6, reducing Ca:Mg ratios to around 2.3 increased 5-mC modifications (i.e. cg16371860) and reduced 5-hmC modifications (i.e. cg26337277) in the TMPRSS2 gene. These findings, if confirmed, provide another mechanism for the role of Mg intervention for the prevention of COVID-19 and treatment of early and mild disease by modifying the phenotype of the TMPRSS2 genotype.

19.
PubMed; 2021.
Preprint in English | PubMed | ID: ppcovidwho-332920

ABSTRACT

Vaccine-induced SARS-CoV-2 antibody responses are attenuated in solid organ transplant recipients (SOTRs) and breakthrough infections are more common. Additional SARS-CoV-2 vaccine doses increase anti-spike IgG in some SOTRs, but it is uncertain whether neutralization of variants of concern (VOCs) is enhanced. We tested 47 SOTRs for clinical and research anti-spike IgG, pseudoneutralization (ACE2 blocking), and live-virus neutralization (nAb) against VOCs before and after a third SARS-CoV-2 vaccine dose (70% mRNA, 30% Ad26.COV2.S) with comparison to 15 healthy controls after two mRNA vaccine doses. We used correlation analysis to compare anti-spike IgG assays and focused on thresholds associated with neutralizing activity. A third SARS-CoV-2 vaccine dose increased median anti-spike (1.6-fold) and receptor-binding domain (1.5-fold) IgG, as well as pseudoneutralization against VOCs (2.5-fold versus Delta). However, IgG and neutralization activity were significantly lower than healthy controls (p<0.001);32% of SOTRs had zero detectable nAb against Delta after third vaccination. Correlation with nAb was seen at anti-spike IgG >4 AU on the clinical assay and >10

20.
3rd IEEE International Conference on Frontiers Technology of Information and Computer, ICFTIC 2021 ; : 242-245, 2021.
Article in English | Scopus | ID: covidwho-1707530

ABSTRACT

CoVID-19 is a widespread pandemic all over the world. It is important to give in-depth research on it. In this work, we aim to predict the age of death in India's CoVid-19. We conduct this work using two machine learning methods, including AdaBoost and Random Forest. Then, we also apply feature selection to speed up the training processing, using random selection, PCA, SVD, and correlation. Between those two methods, we find that the AdaBoost is more suitable for age prediction, and the correlation method, with little performance decreasing, achieves 3 times speed up during training. © 2021 IEEE.

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