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1.
Annals of Blood ; 7, 2022.
Article in English | Scopus | ID: covidwho-1964904

ABSTRACT

The severe acute respiratory syndrome (SARS) coronavirus disease known as coronavirus disease 2019 (COVID-19), which is caused by SARS-CoV-2 has caused a global pandemic since late 2019. As of 7 February 2020, more than 106 million people have been infected, and approximately 2,317 thousand people have died due to SARS-CoV-2 across 200 countries. Unfortunately, to date, many aspects of pathogenesis, infection, clinical manifestations and treatment methods remain unclear, no specific antiviral drugs or vaccines have been reported for patients with COVID-19 infection. Most patients with severe infections require supportive organ function therapies in the intensive care unit (ICU). Passive antibody therapies such as convalescent plasma (CP) therapy have been proved to be effective in the treatment of many infectious diseases such as SARS and Middle East respiratory syndrome (MERS), which are also assumed as a promising strategy in the treatment of critically ill COVID-19 patients. With the increasing investigation, the objective understanding of COVID-19 prevention, treatment and comorbid disease is beneficial for the application of the strategy applied in the clinical trials. Herein, we briefly discuss the current therapeutic approaches for patients with COVID-19, especially focuses on the application of therapeutic plasma exchange (TPE) for selected critically ill patients, aiming to provide some guidance for the treatment of severe COVID-19. © Annals of Blood. All rights reserved.

2.
47th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022 ; 2022-May:8177-8181, 2022.
Article in English | Scopus | ID: covidwho-1948777

ABSTRACT

Speech-based automatic smoker identification (also known as smoker/non-smoker classification) aims to identify speakers' smoking status from their speech. In the COVID-19 pandemic, speech-based automatic smoker identification approaches have received more attention in smoking cessation research due to low cost and contactless sample collection. This study focuses on determining the best acoustic features for smoker identification. In this paper, we investigate the performance of four acoustic feature sets/representations extracted using three feature extraction/learning approaches: (i) hand-crafted feature sets including the extended Geneva Minimalistic Acoustic Parameter Set and the Computational Paralinguistics Challenge Set, (ii) the Bag-of-Audio-Words representations, (iii) the neural representations extracted from raw waveform signals by SincNet. Experimental results show that: (i) SincNet feature representations are the most effective for smoker identification and outperform the MFCC baseline features by 16% in absolute accuracy;(ii) the performance of hand-crafted feature sets and the Bag-of-Audio-Words representations rely on the scale of the dimensions of feature vectors. © 2022 IEEE

3.
2nd International Conference on Artificial Intelligence and Computer Engineering, ICAICE 2021 ; : 408-412, 2021.
Article in English | Scopus | ID: covidwho-1948772

ABSTRACT

Taking Henan Province as the research object, this paper discusses the temporal and spatial distribution of COVID-19 and its spreading laws and characteristics. Through computer modeling and intelligent fitting, the Moran'I and Moran's I exponential distributions are obtained to describe the global space and local space density. Establish SEIRD model and use simulated annealing algorithm to predict its development trend. At the same time, taking into account the development of the epidemic and the infection rate under different conditions, as well as the local testing capabilities and testing costs, combined with mathematical expectations, design a reasonable virus testing program. © 2021 IEEE.

4.
Supportive Care in Cancer ; 30:S24, 2022.
Article in English | EMBASE | ID: covidwho-1935802

ABSTRACT

Introduction Early in the pandemic, Cancer Australia developed a conceptual framework which provided guidance on approaches to optimal cancer care in the face of significant health system challenges and risk of exposure to and harm from COVID-19. Emerging evidence during the pandemic indicated that cancer patients experienced considerable psychosocial impacts, including increased distress, depression and anxiety, and unmet information needs. Methods Evidence on the impact of the COVID-19 pandemic on cancer patients, cancer care across the care continuum, and health system capacity was reviewed, to June 2021. The conceptual framework was updated based on international and national published evidence, guidance, recommendations, and position statements. Results Supportive care strategies for cancer patients during a pandemic include extra vigilance by practitioners of screening for distress;improved communication with patients and their carers of changes to cancer care plans;provision of timely information and guidance to inform shared decision making;attention to the impact of infection control measures;, and adoption of innovative models of supportive care. Conclusions Cancer Australia's updated conceptual framework, underpinned by principles defining optimal cancer care, informs optimal supportive care across the continuum during a pandemic. It provides a planning resource for cancer care clinicians and policymakers for the current and future pandemics when supportive care needs are more paramount than ever.

5.
American Journal of Respiratory and Critical Care Medicine ; 205(1), 2022.
Article in English | EMBASE | ID: covidwho-1927709

ABSTRACT

Rationale There is a lack of knowledge of how CFTR-deficient airway epithelium intrinsically responds to SARS-CoV-2. Though prior work has demonstrated altered CF airway expression of viral entry factors, it is unknown whether these alterations are protective and whether they reflect host genetic variation or secondary response of chronic inflammation. We address this gap by infecting induced pluripotent stem cell (iPSC)-derived airways from CF patients and syngeneic CFTR-corrected controls with SARS-CoV-2 and assessing differential susceptibility to infection and inflammatory and anti-viral response. MethodsCF (F508del homozygous) and syngeneic CFTR-corrected (CRISPR-Cas9) iPSC- were differentiated into airway epithelium cultured at airliquid interface (ALI) by a directed differentiation protocol that generates a pure population of major and rare airway cell-types. After 21 days in ALI culture, the iPSC-airway were infected with either mock or SARS-CoV-2 (isolate USA-WA1/2020) with MOI of 4, and harvested at 0, 1, 3 days post infection (dpi) for RT-PCR and immune-stainingResultsBoth CF and CFTR-corrected iPSC-airway express viral entry factors of ACE2 and TMPRSS2, and are permissive to SARS-CoV-2 infection. CF iPSC-airway exhibited significantly increase in SARS-CoV-2 nucleocapsid protein (N) transcript at 1 dpi, accompanied by increases in IFN2, RSAD2, and CXCL10 at 3 dpi, compared to its CFTR-corrected counter-part. There are no baseline significant differences in ACE2, TMPRSS2, TP63, NGFR, MUC5B, MUC5AC, SCGB1A1, FOXJ1, FOXI1 expression between CF and CFTR-corrected iPSC-airway before SARS-CoV-2 infection. ConclusionsOur preliminary studies indicate increased early SARS-CoV-2 infection in CFTR-deficient epithelium with accompanied subsequent rise in anti-viral and inflammatory response compared to its genetically controlled CFTR-corrected counterpart. Future studies are aimed at assessing differential CF epithelial kinetics of SARS-CoV-2 viral entry and replication, morphological changes, global transcriptomic response, and how treatment with CFTRmodulator would alter the epithelial response. Ultimately, we aim to establish a reductionist, physiologically relevant model system that is coupled with gene-editing technology to study intrinsic CF epithelial response to SARS-CoV-2, which would generate insights to aid practice guidelines for CF patients, and open future directions to evaluate gene-specific mechanisms of airway response to pathogens. (Figure Presented).

6.
Chinese Journal of Pharmaceutical Biotechnology ; 29(2):141-144, 2022.
Article in Chinese | EMBASE | ID: covidwho-1928968

ABSTRACT

A mixed antigen coating method was designed to optimize the method for detecting the titer of the immune serum to inactivated SARS-CoV-2 vaccine, which based on the traditional single antigen coating.The authors determined the optimal coating concentration of the single antigen first by the checkerboard method, then combined two kinds of antigen and obtained coating concentration of the mixed antigen.The best combination of mixed coating antigen contains the whole-coronavirus antigen with total protein concentration of 25 ng/well and the recombinant new coro-navirus S1 protein antigen with protein concentration of 50 ng/well.This method can be used to detect all antibody-specific titers in serum effectively, especially serum containing high-level S protein-specific antibodies.

7.
2021 International Conference on Computing in Civil Engineering, I3CE 2021 ; : 1000-1007, 2021.
Article in English | Scopus | ID: covidwho-1908372

ABSTRACT

The pandemic of COVID-19 has caused severe disruptions in urban lives. Understanding and quantifying these disruptions is important to inform the development of targeted and effective measures to control the pandemic and its impact. One way of achieving this object is to measure the urban mobility perturbation caused by the pandemic. In this study, we built mobility-based networks for seven major metropolitan statistical areas (MSAs) across the United States in the years of 2019 and 2020, respectively. We quantified the disruptions of urban mobility by computing and comparing a set of network-based metrics before and during the pandemic. The proposed approach is able to uncover the impact of COVID-19 in cities and provides new insights into the resilience of cities when facing large-scale disasters. © 2021 Computing in Civil Engineering 2021 - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2021. All rights reserved.

8.
Journal of Pacific Rim Psychology ; 16:12, 2022.
Article in English | Web of Science | ID: covidwho-1896301

ABSTRACT

The sudden outbreak of COVID-19 has exerted a tremendous impact on the psyche of people around the world, especially adolescents. In order to provide a valuable theoretical basis for effective measures to prevent psychological problems in adolescents during public health emergencies in the future, this study examined the mediating effect of coping style (CS, including positive coping style (PCS) and negative coping style (NCS)) and the moderating effect of emotional management ability (EMA) on the relationship between the psychological stress response (PSR) and aggression (AGG) in adolescents during the COVID-19 epidemic in China. The Buss-Warren Aggression Questionnaire, Simplified Coping Style Questionnaire, and Emotion Management Questionnaire were employed to investigate the mental health of Chinese adolescents from April 10-20 (Time point 1, T1) and May 20-30 (Time point 2, T2), 2020. A total of 1,931 adolescents (aged 10-25 years, M = 19.18 years, 51.4% male) were examined at T1 and 334 adolescents (aged 11-25 years, M = 19.97 years, 48.7% male) were reinvestigated at T2. Overall, 17.6% of the participants at T1 and 16.8% at T2 reported obvious PSR activation. NCS partly mediated the relationship between the PSR and AGG, and the indirect effect was moderated by EMA reported at T2. There were regional differences in the moderated mediation model in low-risk areas at T1. The moderated effects of EMA at T1 and T2 were opposite. Specifically, high EMA resulted in a stronger relationship between NCS and AGG at T1, whereas high EMA resulted in a weaker relationship between NCS and AGG at T2. Psychological reactions resulting from sudden public health events may trigger AGG in younger individuals. However, EMA may have a buffering effect on the onset of AGG. This research expands our understanding of the development of AGG in adolescents during the pandemic.

10.
Tissue Engineering - Part A ; 28(SUPPL 1):S559-S560, 2022.
Article in English | EMBASE | ID: covidwho-1852884

ABSTRACT

Introduction: Systemic inflammatory conditions (e.g. sepsis and severe viral infections like COVID-19) are characterized by an overwhelming innate immune response that leads to multi-organ failure [1]. Decellularized extra cellular matrices (ECM) have previously demonstrated pro-regenerative properties through modulation of the immune response [2]. Infusible ECM (iECM) was developed for systemic delivery, targeting and treating sites of vascular injury. We hypothesized iECM delivery would dampen the systemic inflammatory response in a lipopolysaccharide (LPS) mouse model. Methods: iECM was prepared from decellularized porcine left ventricle based on previous protocols [3]. C57BL6/J mice underwent dual intraperitoneal LPS injection and then tail vein injection of saline or iECM (10 mg/mL). Thirty hours post-LPS dose, mice were euthanized and heart, lungs, brain, kidneys, spleen, and liver were harvested (n = 6 mice/group). Tissues were processed for gene expression by qRT-PCR and Nanostring nCounter® Immunology Panels, immune cell identification by flow cytometry, and cytokines by Legend Plex® Mouse Inflammation Panels. Results: qRT-PCR identified significant downregulation of Il1b and Il6 across multiple tissue types in iECM vs. saline-treated mice. Nanostring transcriptomic analysis confirmed downregulation of multiple inflammatory cytokines and chemokines. IL-6 cytokine expression was significantly reduced across multiple organs along with IL-1α and IFN-γ in the lungs, and IL-1β and IL-17A in the spleen. Discussion: Results demonstrated iECM dampens the systemic inflammatory response to LPS, indicating its potential for treating conditions such as sepsis and COVID-19 pathology.

11.
Journal of Sexual Medicine ; 19(4):S60-S60, 2022.
Article in English | Web of Science | ID: covidwho-1849085
12.
Embase; 2022.
Preprint in English | EMBASE | ID: ppcovidwho-334805

ABSTRACT

Omicron sub-lineage BA.2 has rapidly surged globally, accounting for over 60% of recent SARS-CoV-2 infections. Newly acquired RBD mutations and high transmission advantage over BA.1 urge the investigation of BA.2's immune evasion capability. Here, we show that BA.2 causes strong neutralization resistance, comparable to BA.1, in vaccinated individuals' plasma. However, BA.2 displays more severe antibody evasion in BA.1 convalescents, and most prominently, in vaccinated SARS convalescents' plasma, suggesting a substantial antigenicity difference between BA.2 and BA.1. To specify, we determined the escaping mutation profiles1,2 of 714 SARS-CoV-2 RBD neutralizing antibodies, including 241 broad sarbecovirus neutralizing antibodies isolated from SARS convalescents, and measured their neutralization efficacy against BA.1, BA.1.1, BA.2. Importantly, BA.2 specifically induces large-scale escape of BA.1/BA.1.1effective broad sarbecovirus neutralizing antibodies via novel mutations T376A, D405N, and R408S. These sites were highly conserved across sarbecoviruses, suggesting that Omicron BA.2 arose from immune pressure selection instead of zoonotic spillover. Moreover, BA.2 reduces the efficacy of S309 (Sotrovimab)3,4 and broad sarbecovirus neutralizing antibodies targeting the similar epitope region, including BD55-5840. Structural comparisons of BD55-5840 in complexes with BA.1 and BA.2 spike suggest that BA.2 could hinder antibody binding through S371F-induced N343-glycan displacement. Intriguingly, the absence of G446S mutation in BA.2 enabled a proportion of 440-449 linear epitope targeting antibodies to retain neutralizing efficacy, including COV2-2130 (Cilgavimab)5. Together, we showed that BA.2 exhibits distinct antigenicity compared to BA.1 and provided a comprehensive profile of SARS-CoV-2 antibody escaping mutations. Our study offers critical insights into the humoral immune evading mechanism of current and future variants.

13.
18th IEEE International Symposium on Biomedical Imaging (ISBI) ; : 1966-1970, 2021.
Article in English | Web of Science | ID: covidwho-1822031

ABSTRACT

Despite tremendous efforts, it is very challenging to generate a robust model to assist in the accurate quantification assessment of COVID-19 on chest CT images. Due to the nature of blurred boundaries, the supervised segmentation methods usually suffer from annotation biases. To support unbiased lesion localisation and to minimise the labelling costs, we propose a data-driven framework supervised by only image level labels. The framework can explicitly separate potential lesions from original images, with the help of an generative adversarial network and a lesion-specific decoder. Experiments on two COVID-19 datasets demonstrates the effectiveness of the proposed framework and its superior performance to several existing methods.

14.
Promet-Traffic & Transportation ; 33(6):10, 2021.
Article in English | Web of Science | ID: covidwho-1801380

ABSTRACT

In this COVID-19 epidemic, due to insufficient awareness of the impact of sudden public health emergencies on agricultural logistics at this stage, agricultural products were left unsold, stocks were backlogged, and losses were severe. In the process of distribution, we should not only ensure a short time cycle and avoid the contamination of agricultural products by foreign bacteria, but also pay attention to the waste of human, material, and financial resources. Therefore, this study mainly adopts the combination of the petrochemical network and block chain to build an agricultural products emergency logistics model. This paper first shows the operation mechanism of the petri dish network and blockchain coupling in the form of a graph and then uses the culture network modelling and simulation tool PIPE to directly verify the construction model. It is proved that the structure and overall business process of the agricultural products logistics system constructed by combining the Petri net and block chain are reasonable, reliable, and feasible in practical application and development. It is hoped that this study can provide a reference direction for agricultural emergency logistics.

15.
Journal of Sexual Medicine ; 19(4):S60, 2022.
Article in English | EMBASE | ID: covidwho-1796416

ABSTRACT

Introduction: The COVID-19 pandemic has changed the lives of many in the past year. As of writing this article, the virus has claimed over half a million American lives and has infected millions more. It has affected many people regardless of age, gender, race, religion, or medical history. We have noticed a unique sequence of events in urology patients with a prior history of inflatable penis prothesis implantation who have gotten critically ill from the SARS-CoV-2 virus. Objective: We report our experience with patients with an inflatable penile prothesis who suffered respiratory failure due to the SARS-CoV-2 virus and findings that would help limit the risk of implant infection and/or erosion if prolonged urethral catherization is needed. Methods: We have encountered 3 patients with a very similar history in the past year. They were all men aged 57-72 years old who had a functioning inflatable penile prothesis (IPP) for many years (3-13) and were intubated for a prolonged period of time (2-4 weeks) after suffering respiratory distress from the SARS-CoV-2 virus. During this time, they all had a prolonged urethral Foley catherization for urinary drainage while in the ICU. They were all subsequently found to have urethral erosion of a penile implant cylinder which was not present prior to hospitalization. Their charts were reviewed. Results: Two patients underwent explantation of their IPP during their hospital stay and one presented to our outpatient office 2 months after discharge with the complaint of urethral cylinder erosion and underwent subsequent explantation. Conclusions: Urethral catheterization is commonly used in the intensive care unit and spinal cord injury patients due to their convenience and efficacy. The friction and inflammation created by prolonged transurethral catheterization can be disastrous for IPPs by increasing the likelihood of infection and/or device erosion. In fact, Steidle and Mulcahy found that five out of their nine patients (55%) with IPPs who had an indwelling or intermittent transurethral catheterization were eventually found to have erosion of their IPP. In addition, indwelling transurethral catheters also confer a higher risk of urinary tract infection. Han et al. found that suprapubic tube placement conferred a statistically significantly lower risk of urinary tract infection when compared to indwelling transurethral catheterization for over five days at an odds ratio of 0.142 (95% CI 0.073-0.0276). Another alternative to bladder drainage in the intubated IPP patient is clean intermittent catherization (CIC), however this poses a unique challenge in the intubated COVID positive patient as it repeatedly exposes healthcare staff the virus-carrying patient. When compared to indwelling transurethral catherization, suprapubic tube placement has been shown to confer a lower risk of urinary tract infection and IPP infection/erosion. This can primarily be explained by its ability to drain the bladder without creating inflammation and friction in the urethra. Therefore, we propose that any team caring for a patient with an IPP and a planned, prolonged indwelling transurethral catheterization consult urology services to have a suprapubic tube temporarily placed. This will ensure that the risk of urinary tract infection and/or IPP erosion is kept as low as possible. Disclosure: Any of the authors act as a consultant, employee or shareholder of an industry for: Coloplast, Boston Scientific, Neotract

16.
Review of Business ; 42(1):19-40, 2022.
Article in English | Web of Science | ID: covidwho-1756134

ABSTRACT

Motivation: This article discusses the impact of COVID-19 on import and export trade, and what roles the degree of epidemic spread, the degree of malignancy, and the governments' epidemic prevention and control responses have played in the waves of COVID-19 infections. Premise: Since the beginning of 2020, COVID-19 has had a huge impact on the world health system and has profoundly affected the global economy and import and export trade. The volume of import and export trade in most countries around the world has experienced a significant decline. The global supply chain system has suffered huge challenges due to the epidemic, its management, and each country's governmental response. Approach: This article describes the spread and development of COVID-19 and its phased impact on international trade. This article also discusses the impact mechanism of the epidemic on international import and export trade and the global supply chain system. The study uses trend analysis and fixed effects models to analyze the influence factor on import and export trade of nine major economies (the United States, China, the United Kingdom, Germany, Italy, Japan, Canada, India, and Australia) in 2020. Results: This study explores COVID-19's effects on international import and export trade. It estimates the impact of COVID-19 on the import and export trade of each country, discussing the relationship between the whole epidemic situation, the number of epidemic infections and deaths, and how governments responded to international trade in this epidemic. The study also groups nine countries from four aspects and analyzes the differences in the impact of import and export trade among different groups. Conclusion: This study has found that for most countries, the COVID-19 epidemic had greater impact on the import trade than export trade. The number of deaths caused by the epidemic had a greater impact on import and export trade than the number of epidemic infections. Each government's epidemic prevention and control policy had a negative impact on the import and export trade. Discovering appropriate policies that could reduce the impact on the economy while preventing and controlling an epidemic is of great importance. The further impact of COVID-19 might change the global industrial layout in the future, but the global supply chain system will not experience huge changes in the short term. Consistency: This research explores the fluctuations and the recovery cycles of the international trading system. The quantitative analysis finds out the negative effects of regional control policies and mobility restriction policies in different countries. It contributes to the business for coping with sudden risks in international supply chain system.

17.
Altern Ther Health Med ; 2022.
Article in English | PubMed | ID: covidwho-1756133

ABSTRACT

INTRODUCTION: Poor sleep quality among college students is a global problem. Chinese college students were required to home quarantine, social distance and participate in online learning during the COVID-19 epidemic. This study aimed to investigate the sleep quality of college students during the epidemic and identify the factors related to poor sleep quality. METHODS: Study participants completed an online survey that included questionnaires about sleep symptoms and lifestyle during the COVID-19 outbreak. The study participants included 3416 college students (mean age 20.4 ± 1.8 years). The Pittsburgh Sleep Quality Index (PSQI) was used to measure sleep quality, and a PSQI score >7 was defined as poor sleep quality. A logistic regression model was used to analyze the factors related to sleep quality. RESULTS: The percentage of college students with poor sleep quality was 15.97 % in southern Anhui province during the COVID-19 pandemic. The majority of the students were female (67.4%) and most were from urban areas (53.9%). Single-parent (adjusted odds ratio [aOR], 1.39;95% CI, 1.02-1.89) domestic violence incidents ≥5×/yr (aOR, 3.68;95% CI, 1.70 to 7.96), nap time >4 hr/d (aOR, 1.90;95% CI, 25-2.90) were significantly associated with poor sleep quality. While knowledge of COVID-19 was prevalent (aOR, 0.71;95% CI, 0.53 to 0.96) light exercise >1 hour/day (aOR, 0.47;95% CI, 0.28 to 0.78), parent-accompanied exercise >3×/wk (aOR, 0.59;95% CI, 0.38 to 0.90) were protective factors against poor sleep quality. CONCLUSIONS: The present study found that college students in single-parent families and students who had experienced domestic violence had a high risk of poor sleep quality during the COVID-19 pandemic in China. College students who were familiar with COVID-19 and had light exercise habits or parent-accompanied exercise habits had better sleep quality. At the time of writing, COVID-19 was still pandemic worldwide, so targeted sleep health interventions must be established to actively guide college students' healthy living habits. In addition, the sleep disorders and other health problems that may occur in college students should be dealt with in advance, and should be part of the routine work of global disease prevention.

18.
Internet Research ; 2022.
Article in English | Scopus | ID: covidwho-1752278

ABSTRACT

Purpose: This research created a theoretical framework based on theory of consumption values (TCV) and theory of perceived risk (TPR) to investigate the determinant factors behind consumers' intention to use health and fitness apps during the COVID-19-related lockdown. In addition, based on selectivity hypothesis theory (SHT), this study also explored how gender differences moderate the relationships between the determinants and consumers' behavioral intention. Design/methodology/approach: A total of 613 respondents completed a self-reported online questionnaire. Structural equation modeling was conducted to test the role of potential determinants in influencing consumers' behavioral intention. Hierarchical multiple regression was performed to examine the moderating effect of gender. Findings: The findings of this research revealed that physical appearance, general health, enjoyment, affiliation and condition have positive influences on consumers' behavioral intention, while privacy risk and security risk exert negative impact on consumers' behavioral intention. More importantly, the moderating results indicated that only affiliation, privacy risk and security risk have stronger influences on female, while other predictors showed the same effects on both genders. Practical implications: Fitness providers should embrace health and fitness apps as a new contactless tool to offer services during and after the COVID-19-related lockdown. Fitness providers and app developers need to focus more on the utility and quality of their health and fitness apps. In addition, they should add more gamification elements to health and fitness apps because these elements could increase consumers' hedonic experience especially during the lockdown. Third, the security systems in health and fitness apps should be continuously updated to decline privacy risk during and after the COVID-19-related lockdown. Lastly, when female consumers are targeted during the lockdown, fitness providers should make more efforts to imbue health and fitness apps with more social features and improve the level of security. Originality/value: Although the importance of contactless technologies has been highlighted ever since the beginning of the COVID-19 pandemic, there has been very little research on the usage of health and fitness apps during the lockdown based on TCV and TPR. Meanwhile, the moderating role of gender differences in this context remains underexplored. This research is one of the early attempts to fill in these gaps. The findings of this study will enhance the theoretical framework regarding the acceptance and use of health and fitness apps;it also challenges the generalizability of SHT in the context of the COVID-19-related lockdown. Moreover, several important implications for the health and fitness industry during and after the COVID-19 pandemic were suggested. © 2022, Emerald Publishing Limited.

19.
Open Forum Infectious Diseases ; 8(SUPPL 1):S254-S255, 2021.
Article in English | EMBASE | ID: covidwho-1746699

ABSTRACT

Background. As the COVID-19 pandemic continues, growing attention has been placed on whether patients previously infected with SARS-CoV-2 have an increased risk of developing and/or exacerbating medical complications. Our study aimed to determine whether individuals with previous evidence of SARS-CoV-2 infection prior to their current emergency department (ED) visit were more likely to present with specific clinical sign/symptoms, laboratory markers, and/or clinical complications. Methods. A COVID-19 seroprevalence study was conducted at Johns Hopkins Hospital ED (JHH ED) from March 16 to May 31, 2020. Evidence of ever having SARSCoV-2 infection (PCR positive or IgG Ab positive) was found in 268 ED patients at this time (i.e. infected and/or previously infected). These patients were matched 1:2 to controls, by date, to other patients who attended the JHHED. Clinical signs/symptoms, laboratory markers, and/or clinical complications associated with ED visits and/ or hospitalizations at JHH within 6 months after their initial ED visit was ed through chart review for these 804 patients. Cox proportional hazards regression analyses were performed. Results. Among 804 ED patients analyzed, 50% were female, 56% Black race, and 15% Hispanic with a mean age of 47 years. 323 (40%) patients had at least 1 subsequent ED visit and additional 70 (9%) had been admitted to JHH. After controlling for race and ethnicity, patients with evidence of current or prior COVID-19 infection were more likely to require supplemental oxygen [hazards ratio (HR) =2.53;p=0.005] and have a cardiovascular complication [HR =2.13;p=0.008] during the subsequent ED visit than the non-infected patients. Conclusion. Our findings demonstrate that those previously infected with SARSCoV-2 have an increased frequency of cardiovascular complications and need for supplemental oxygen in ED visits in the months after their initial SARS-CoV-2 infection was detected. EDs could serve as a critical surveillance site for monitoring post-acute COVID-19 syndrome complications.

20.
2021 IEEE International Conference on Big Data, Big Data 2021 ; : 2631-2640, 2021.
Article in English | Scopus | ID: covidwho-1730862

ABSTRACT

The construction and application of knowledge graphs have seen a rapid increase across many disciplines in re-cent years. Additionally, the problem of uncovering relationships between developments in the COVID-19 pandemic and social me-dia behavior is of great interest to researchers hoping to curb the spread of the disease. In this paper we present a knowledge graph constructed from COVID-19 related tweets in the Los Angeles area, supplemented with federal and state policy announcements and disease spread statistics. By incorporating dates, topics, and events as entities, we construct a knowledge graph that describes the connections between these useful information. We use natural language processing and change point analysis to extract tweet-topic, tweet-date, and event-date relations. Further analysis on the constructed knowledge graph provides insight into how tweets reflect public sentiments towards COVID-19 related topics and how changes in these sentiments correlate with real-world events. © 2021 IEEE.

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