Evaluation of COVID-19 Vaccines in Primary Prevention Against Infections and Reduction in Severity of Illness Following the Outbreak of Sars-Cov-2 Omicron Variant in Shanghai

Objectives: To evaluate COVID-19 vaccines in primary prevention against infections and lessening the severity of illness following the most recent outbreak of the SARS-CoV-2 Omicron variant in Shanghai. Method(s): To investigate whether inactivated vaccines were effective in protecting against COVID-19 infections, we estimated the odds ratio (OR) of the vaccination in COVID-19 cases vs. matched community-based healthy controls. To evaluate the potential benefits of vaccination in lowering the risk of symptomatic infection (vs. asymptomatic), we estimated the relative risk (RR) of symptomatic infections among diagnosed patients. We also applied the multivariate stepwise Logistic regression analyses to measure the risk of disease severity (symptomatic vs. asymptomatic and moderate/severe vs. mild) in COVID-19 patient cohort with vaccination status as an independent variable while controlling for potential confounding factors. Result(s): Out of the 153,544 COVID-19 patients included in the analysis, 118,124 (76.9%) patients had been vaccinated and 143,225(93.3%) were asymptomatic patients. Of the 10,319 symptomatic patients, 10,031(97.2%), 281(2.7%) and 7(0.1%) experienced mild, moderate, and severe infections, respectively. There is no evidence that the vaccination helped protect from infections (OR=0.82, p=0.613). The vaccination, however, offered a small but significant protection against symptomatic infections (RR=0.92, p < 0.001) and halved the risk of moderate/severe infections (OR=0.48, 95% CI: 0.37 - 0.61). Older age (> 60 years) and malignant tumors were significantly associated with moderate/severe infections. Gender also appeared to be a risk factor for symptomatic infections, with females being associated with a lower risk for moderate/severe illness. Conclusion(s): Inactivated COVID-19 vaccines helped provide a small but significant protection against symptomatic infections and halved risk of moderate/severe illness among symptomatic patients. The vaccination was not effective in blocking COVID-19 Omicron variant community spread.Copyright © 2023

Could Cryptocurrency Policy Uncertainty Facilitate US Carbon Neutrality?

Investigating the essential impact of the cryptocurrency market on carbon emissions is significant for the U.S. to realize carbon neutrality. This exploration employs low-frequency vector auto-regression (LF-VAR) and mixed-frequency VAR (MF-VAR) models to capture the complicated interrelationship between cryptocurrency policy uncertainty (CPU) and carbon emission (CE) and to answer the question of whether cryptocurrency policy uncertainty could facilitate U.S. carbon neutrality. By comparison, the MF-VAR model possesses a higher explanatory power than the LF-VAR model;the former's impulse response indicates a negative CPU effect on CE, suggesting that cryptocurrency policy uncertainty is a promoter for the U.S. to realize the goal of carbon neutrality. In turn, CE positively impacts CPU, revealing that mass carbon emissions would raise public and national concerns about the environmental damages caused by cryptocurrency transactions and mining. Furthermore, CPU also has a mediation effect on CE;that is, CPU could affect CE through the oil price (OP). In the context of a more uncertain cryptocurrency market, valuable insights for the U.S. could be offered to realize carbon neutrality by reducing the traditional energy consumption and carbon emissions of cryptocurrency trading and mining.

A Scoping Review of Empirical Studies in Gather.town

There is an increasing interest for people to meet and interact in virtual online environments, including Gather.Town, especially during the COVID-19 pandemic and in the post-pandemic world. We present a scoping review of 11 empirical studies in Gather.town - a 2D Metaverse using a game-like interface with video-chat in which people can create their own virtual spaces and act as avatars to interact with each other for various purposes. To identify knowledge gaps, we summarized the included articles in terms of their application contexts, research issues, research methods, and key findings. We found that most of them were conducted in educational settings with a focus on students' learning experiences and perceptions. The findings of the reviewed studies generally suggested that the use of Gather.town benefited users' engagement. However, the available evidence was mostly based on short interventions (e.g., one session) and self-reported measures (e.g., surveys and interviews). This review concluded by presenting several research gaps for future research (e.g., studies with a longer duration and using more objective measurements of learning achievement and work results). © 2023 IEEE.

Variations in the Spatial Distribution of Smart Parcel Lockers in the Central Metropolitan Region of Tianjin, China: A Comparative Analysis before and after COVID-19

The COVID-19 pandemic has led to a significant increase in e-commerce, which has prompted residents to shift their purchasing habits from offline to online. As a result, Smart Parcel Lockers (SPLs) have emerged as an accessible end-to-end delivery service that fits into the pandemic strategy of maintaining social distance and no-contact protocols. Although numerous studies have examined SPLs from various perspectives, few have analyzed their spatial distribution from an urban planning perspective, which could enhance the development of other disciplines in this field. To address this gap, we investigate the distribution of SPLs in Tianjin's central urban area before and after the pandemic (i.e., 2019 and 2022) using kernel density estimation, average nearest neighbor analysis, standard deviation elliptic, and geographical detector. Our results show that, in three years, the number of SPLs has increased from 51 to 479, and a majority were installed in residential communities (i.e., 92.2% in 2019, and 97.7% in 2022). We find that SPLs were distributed randomly before the pandemic, but after the pandemic, SPLs agglomerated and followed Tianjin's development pattern. We identify eight influential factors on the spatial distribution of SPLs and discuss their individual and compound effects. Our discussion highlights potential spatial distribution analysis, such as dynamic layout planning, to improve the allocation of SPLs in city planning and city logistics.

Molecular Crowding Modulates SARS-CoV-2 Aptamer Affinity

SARS-CoV-2 aptamer is a favorable candidate for the recognition and detection of SARS-CoV-2, owing to its small size and easy synthesis. However, the issue of compromised binding affinities in real samples and targeting mutant SARS-CoV-2 hinder wide applications of the aptamer. In this study, it is discovered that molecular crowding could increase binding affinity of CoV2-6C3 aptamer against RBD (Receptor Binding Domain) of SARS-CoV-2 via increasing the absolute value of the enthalpy change. The values of the equilibrium dissociation constant in molecular crowding decrease by 70% and 150%, respectively, against wild-type and mutant RBD compared with those in buffer without crowding. Moreover, the detection limit of SARS-CoV-2 pseudovirus is up to 5 times lower under molecular crowding compared to dilute conditions. The discovery deepens the understanding of aptamer-target interaction mechanisms in crowding conditions and provides an effective way to apply SARS-CoV-2 aptamer for virus recognition and detection.

Ace2 Substrate Cleavage Effect Associated with Covid-19 Patient Plasma Immunoglobulin

Background: Many mechanisms responsible for COVID-19 pathogenesis are well-known, but COVID-19 includes features with unclear pathogenesis, like autonomic dysregulation, coagulopathies, and high levels of inflammation. The SARS-CoV-2 spike protein receptor binding domain (RBD) receptor is angiotensin converting enzyme 2 (ACE2). We hypothesized that some COVID-19 patients may develop immunoglobulins (Igs) that have negative molecular image of RBD sufficiently similar to ACE2 to yield ACE2-like catalytic activity - ACE2-like 'abzymes'. Method(s): To explore this hypothesis, we studied 67 patients hospitalized with COVID-19 who had disodium ethylenediaminetetraacetate (EDTA) anticoagulated plasma samples available, obtained about 7 days after admission. We used commercially available fluorometric ACE2 assays (Abcam), and a SpectraMax M5 microplate reader (Molecular Devices), measuring Relative Fluorescent Unit (RFU, Ex/Em = 320/420 nm;RFU) in a kinetic mode every 20 min at 37C. ACE2 inhibitor provided in the assay kit was used for additional controls. In some control experiments, we added Zn2+ to plasma, or conducted serial dilutions to decrease Zn2+. To deplete Igs, we passed plasma samples through a 0.45 mum filter to remove large particles, then passed the material through 100kDa cut-off ultrafiltration membrane (PierceTM) columns, and finally used protein A/G Magnetic Beads (Life Technologies) to specifically deplete Ig, removing >99.99% of Ig as assessed with a human IgG ELISA Kit (Abcam). Result(s): ACE2 is a metalloprotease that requires Zn2+ for activity. However, we found that the plasma of 11 of the 67 patients could cleave a synthetic ACE2 peptide substrate, even though the plasma samples were collected using EDTA anticoagulant. When we spiked plasma with synthetic ACE2, no ACE2 substrate cleavage activity was observed unless Zn2+ was added, or the plasma was diluted to decrease EDTA concentration. After processing samples by size exclusion and protein A/G adsorption, the plasma samples did not cleave the ACE2 substrate peptide. Conclusion(s): The data suggest that some patients with COVID-19 develop Igs with activity capable of cleaving synthetic ACE2 substrate. Since abzymes can exhibit promiscuous substrate specificities compared to the enzyme whose active site image they resemble, and since proteolytic cascades regulate physiologic processes, anti-RBD abzymes may contribute to some otherwise obscure features of COVID-19 pathogenesis. (Figure Presented).

A novel isothermal digital amplification system and its application for absolute quantification of respiratory infectious virus

Herein, we establish a novel isothermal digital amplification system termed digital nicking and extension chain reaction system-based amplification (dNESBA) by utilizing the isothermal NESBA technique and the newly developed miniaturized fluorescence monitoring system (mFMS). dNESBA enables parallel isothermal NESBA reactions in more than 10,000 localized droplet microreactors and read the fluorescence signals rapidly in 150 s by mFMS. This system could identify the genomic RNA (gRNA) extracted from target respiratory syncytial virus A (RSV A) as low as 10 copies with remarkable specificity. The practical applicability of dNESBA was also successfully verified by reliably detecting the gRNA in the artificial sputum samples with excellent reproducibility and accuracy. Due to the intrinsic advantages of isothermal amplifying technique including the elimination of the requirement of thermocycling device and the enhanced portability of the miniaturized read-out equipment, the dNESBA technique equipped with mFMS could serve as a promising platform system to achieve point-of-care (POC) digital molecular diagnostics, enabling absolute and ultra-sensitive quantification of various infectious pathogens even in an early stage.Copyright © 2023

Contingent coordination in crisis: Experiences of Qingdao control command in governing COVID-19 in China

Coordination is one of the most challenging crisis management issues governments face worldwide. In this contribution, we examine the coordination mechanism applied by Qingdao control command in China to fight against COVID-19. Its coordination is implemented contingently via five different approaches: achieving compromises through a centralized tiered meeting system, developing standard operating procedures through issuing documents, encouraging pragmatic problem-solving through improvisation, establishing routines through finding shortcuts, and following commands and suggestions from higher-up. Two perspectives, the structural-institutional and cultural perspectives, have been applied to explain the choice of the contingent coordination mechanism. Our study contributes to the existing crisis coordination literature through substantiating the approaches underlying contingent coordination and providing a preliminary explanation of it. © 2023 John Wiley & Sons Ltd.

Baseline Demographics and Disease Characteristics of Patients Enrolled in the Registry of the Natural History of Recurrent Pericarditis in Pediatric and Adult Patients (Resonance)

Background The natural history of recurrent pericarditis (RP) and its associated co-morbidity are not well understood. The RESONANCE registry (NCT04687358) was implemented to collect observational data from real-world clinical practice to better understand the presentation, management and outcomes of patients with RP. Methods Enrollment of adult and pediatric patients began March 2021 and continues at 22 participating centers across the US. Patients with RP episodes <=3 years prior to enrollment and currently on treatment were considered to have active disease. Patients with RP related to trauma, malignancy and connective tissue disease were excluded. The current analysis reports interim demographic and disease characteristics at enrollment for the active cohort with complete data records. Results As of 15 August 2022, complete data records were available for 100 adult and 2 pediatric patients. To date, the majority of patients are female (62%, n=64). Mean (SD) age was 47 (15) years. The primary cause of the initial acute pericarditis event was idiopathic/viral (68%, n=70) or post-cardiac injury syndrome (8%, n=8). Median (Q1,Q3) duration of disease at enrollment was 2.7 (1.0, 5.2) years. 70% (n=71) of patients had experienced at least one recurrence in the one-year retrospective period. Comorbidities were low (15%;n=16);of these, 25% (n=4) had hypertension, 25% (n=4) had cardiac arrhythmia, 25% (n=4) had depression, 12.5% (n=2) had COVID-19 and 12.5% (n=2) had anxiety. Concomitant medical management data will be presented. Conclusion RESONANCE is a novel national multicenter registry collecting data relevant for informing treatment strategies for RP. Initial data from the first 103 patients suggest a preponderance of women with active RP;overall, patients are relatively young without significant comorbidities versus other acquired cardiovascular diseases. As enrollment and data collection expands, RESONANCE is designed to reveal important characteristics for RP which can guide clinical practice and improve quality of life of patients with RP.Copyright © 2023 American College of Cardiology Foundation

Prediction and Analysis of Infectious Disease Visit Data Based on DPC

Since the outbreak of the COVID-19 in early 2020, the prevention and control of infectious diseases has been raised to a higher level. However, tuberculosis still ranks in the forefront of the incidence rate of various infectious diseases in China. The tuberculosis epidemic has also brought great economic pressure and negative social impact to the society every year. Therefore, we have always been very concerned about how to effectively prevent and control the spread of tuberculosis. However, the diagnostic data of tuberculosis are often high-dimensional, huge, messy and difficult to be used effectively. How to extract knowledge from the data to help medical staff find the incidence trend of tuberculosis to assist decision-making has become a practical topic. In this paper, after clarifying and standardizing the original data, the density peak clustering (DPC) algorithm is used for deep mining. The knowledge is extracted through clustering analysis and visualization. Finally, analysis results can intuitively illustrate the effectiveness and practical research significance of this work. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Etiology, clinical features, infection control and therapy of SARS-CoV-2 Omicron variant.

The Omicron variant of SARS-CoV-2 is a new variant of concern after Alpha, Beta, Gamma and Delta variants. The amino acid mutations in the viral antigens, especially in the receptor binding region (RBD) of spike protein, were significantly more than those of other variants, which lead to the significant increase of infectivity, transmissibility and immune escape of Omicron variant. In addition, those spike mutations impaired the protective effect of vaccination. When compared to the infection of other variants, the latency of Omicron variant infection was significantly shortened, and the pathogenicity decreased markedly, which is in consistence with the fact that the vast majority of infected individuals showed no symptoms or only mild disease. Exacerbations in patients infected by Omicron variant were often associated with the progress of underlying disease. Early detection and medical isolation of infected persons, careful personal protection measures to cut off transmission routes, and active vaccination to protect susceptible people are key measures to prevent the spread of Omicron variant epidemic. A small number of patients infected with Omicron variant may develop so-called long COVID-19, post-COVID-19 syndrome, or post-COVID-19 condition, which means that long-term follow-up is needed in those patients. Effective anti-Omicron variant therapy can shorten the course of infection, promote the recovery from infection, and also contribute to the control of infection. Therefore, the development of antiviral drugs with ideal cost-benefit ratio and convenient administration is one of the research hotspot in the future.Copyright © 2022 Authors. All rights reserved.

Altruistic Motivation, Moral Elevation and Tourism Support Behavior: An Empirical Study Based on Cause-Related Marketing in Tourist Destinations

The theoretical research on cause-related marketing in the field of tourism is comparatively lacking. This study aims to examine the role of moral elevation in the cause-related marketing of tourist destinations. Taking Zhangjiajie, China as a case study, based on the stimulus-organism-response framework, this research develops a model of altruistic motivation, moral elevation and tourism support behavior. The results show that altruistic motivation has a significant positive impact on the emotional component, the views of humanity and the desire to be a better person;the desire to be a better person has a significant positive impact on tourism support behavior, and it also plays a mediating role between altruistic motivation and tourism support behavior. This study applies cause-related marketing theory to the research of tourist destinations, which can provide useful suggestions for the marketing of other tourist destinations under the background of the COVID-19 epidemic. © 2023 by the authors.

Asymmetric volatility connectedness between cryptocurrencies and energy: Dynamics and determinants

We explore the dynamics and determinants of volatility connectedness between cryptocurrencies and energy. We employed a block dynamic equicorrelation model and a group volatility connectedness measurement to measure the cross-equicorrelation and volatility connectedness between cryptocurrencies and energy. We also adopted dynamic model averaging to identify the time-varying drivers. The results suggest that changes in cross-equicorrelation between the two groups were affected by influential global events and increased after the COVID-19 pandemic. Volatilities were transmitted in both directions between cryptocurrencies and energy, but the transmission from energy to cryptocurrencies is by far the strongest. The driver identification implies that the factors related to cryptocurrencies and global financial markets had important roles in explaining the volatility connectedness from cryptocurrencies to energy in some periods after the COVID-19 pandemic, but the effects were marginal. In contrast, factors such as electricity consumption, cryptocurrency turnovers, and VIX were important in affecting the volatility connectedness from energy to cryptocurrencies, and the effects depended on factors and changed over time. Copyright © 2023 Wan, Song, Zhang and Yin.

A review of pooled-sample strategy: Does complexity lead to better performance?

The outbreak of coronavirus disease 2019 (COVID-19, caused by SARS-Cov-2) is a big challenge for global health systems and the economy. Rapid and accurate tests are crucial at early stages of this pandemic. Reverse transcription-quantitative real-time polymerase chain reaction is the current gold standard method for detection of SARS-Cov-2. It is impractical and costly to test individuals in large-scale population screens, especially in low- and middle-income countries due to their shortage of nucleic acid testing reagents and skilled staff. Accordingly, sample pooling, such as for blood screening for syphilis, is now widely applied to COVID-19. In this paper, we survey and review several different pooled-sample testing strategies, based on their group size, prevalence, testing number, and sensitivity, and we discuss their efficiency in terms of reducing cost and saving time while ensuring sensitivity. © 2022 The Authors. VIEW published by Shanghai Fuji Technology Consulting Co., Ltd, authorized by Professional Community of Experimental Medicine, National Association of Health Industry and Enterprise Management (PCEM) and John Wiley & Sons Australia, Ltd.

High-yield, one-pot upcycling of polyethylene and polypropylene waste into blue-emissive carbon dots

The COVID-19 pandemic has led to unprecedented demand for single-use plastics such as plastic bags and surgical masks. Plastics are resistant to natural degradation and are a global environmental pollution problem, threatening the environment and human health. Finding suitable ways to convert plastic waste into valuable materials is crucial to mitigate these effects. Herein, we report a facile, single-step, and organic solvent-free hydrothermal process to convert polyethylene-based plastic bags and polypropylene-based surgical masks into carbon dots with a 96% production yield. The produced CDs are soluble in aqueous and various organic solvents, show excitation-dependent emission consistent with their size of 1-8 nm and exhibit thermal and photostability. We further show how this oxidative degradation approach can upcycle contaminated plastics with organic waste, which is a major challenge with plastic recycling. Finally, we demonstrate a potential use case of CDs as anticounterfeiting agents using fluorescent, stretchable films of CD-doped polydimethylsiloxane (PDMS). This synthesis method is a cost-effective, easy-to-implement, highly scalable, and contamination-resistant approach to upcycle plastic waste. © 2023 The Royal Society of Chemistry.

Equilibrium social activity during an epidemic

During an infectious-disease epidemic, people make choices that impact transmission, trading off the risk of infection with the social-economic benefits of activity. We investigate how the qualitative features of an epidemic's Nash-equilibrium trajectory depend on the nature of the economic benefits that people get from activity. If economic benefits do not depend on how many others are active, as usually modeled, then there is a unique equilibrium trajectory, the epidemic eventually reaches a steady state, and agents born into the steady state have zero expected lifetime welfare. On the other hand, if the benefit of activity increases as others are more active ("social benefits”) and the disease is sufficiently severe, then there are always multiple equilibrium trajectories, including some that never settle into a steady state and that welfare dominate any given steady-state equilibrium. Within this framework, we analyze the equilibrium impact of a policy that modestly reduces the transmission rate. Such a policy has no long-run effect on society-wide welfare absent social benefits, but can raise long-run welfare if there are social benefits and the epidemic never settles into a steady state. © 2022 Elsevier Inc.

Instagram Influencers in Health Communication: Examining the Roles of Influencer Tier and Message Construal in COVID-19-Prevention Public Service Announcements

This study evaluates the efficacy of social media influencer endorsements for COVID-19-prevention public service announcements (PSAs) on Instagram and its underlying mechanisms. An online experiment (N = 239) tested how influencer tier (mega-influencer versus nano-influencer) and message construal (independent versus interdependent versus collective) of the PSA influenced individuals' attitudes toward the PSA and their behavioral intentions regarding COVID-19 prevention. Participants perceived mega-influencers and nano-influencers to possess similar expertise, trustworthiness, and attractiveness. However, participants regarded nano-influencers to possess greater homophily than mega-influencers. Participants exposed to a nano-influencer's PSA displayed greater intention to engage in COVID-19 prevention behaviors than those exposed to a mega-influencer's PSA. Participants' perceived homophily with the nano-influencer also mediated its effect on participants' attitudes toward the PSA and behavioral intentions regarding COVID-19 prevention. In addition, participants evaluated the PSA with collective message construal more favorably than the PSA with independent message construal. Theoretical contributions, managerial implications, and directions for future research are provided. © 2022 American Academy of Advertising.

The reliability and integrity of overall survival data based on follow-up records only and potential solutions to the challenges

Overall survival (OS) is considered the standard clinical endpoint to support effectiveness claims in new drug applications globally, particularly for lethal conditions such as cancer. However, the source and reliability of OS in the setting of clinical trials have seldom been doubted and discussed. This study first raised the common issue that data integrity and reliability are doubtful when we collect OS information or other time-to-event endpoints based solely on simple follow-up records by investigators without supporting material, especially since the 2019 COVID-19 pandemic. Then, two rounds of discussions with 30 Chinese experts were held and 12 potential source scenarios of three methods for obtaining the time of death of participants, including death certificate, death record and follow-up record, were sorted out and analysed. With a comprehensive assessment of the 12 scenarios by legitimacy, data reliability, data acquisition efficiency, difficulty of data acquisition, and coverage of participants, both short-term and long-term recommended sources, overall strategies and detailed measures for improving the integrity and reliability of death date are presented. In the short term, we suggest integrated sources such as public security systems made available to drug inspection centres appropriately as soon as possible to strengthen supervision. Death certificates provided by participants' family members and detailed standard follow-up records are recommended to investigators as the two channels of mutual compensation, and the acquisition of supporting materials is encouraged as long as it is not prohibited legally. Moreover, we expect that the sharing of electronic medical records and the legal disclosure of death records in established health registries can be realized with the joint efforts of the whole industry in the long-term. The above proposed solutions are mainly based on the context of China and can also provide reference for other countries in the world. © 2022 The Authors