Closing the Gap: Technology Access and Telehealth Use Among Older Adults in the U.S. Medicare Beneficiaries (preprint)

The use of information and communication technologies (ICTs) has numerous benefits for older individuals, including promoting self-sufficiency, reducing the risk of falls, improving the management of chronic illnesses, enhancing medication compliance, and addressing social isolation. The availability of technology is essential for older adults to stay connected in today's world, but access can be influenced by several factors. Failure to access technology could result in missed resources and opportunities, and some seniors may be hesitant to adopt new technology due to lack of knowledge or fear. The study aims to examine the impact of digital technologies on access to health and social care for older adults, as well as identify socioeconomic factors that may hinder access to services. The study used the 2021 Medicare Current Beneficiary Survey COVID-19 Winter Supplement Public Use File as a secondary data source analyzing several demographics, socioeconomic, and health-related factors to identify the factors that might impact the enhancement of access to services for older adults. The total sample size was 10,592 older adults aged 65 years and above who are currently Medicare beneficiaries. The authors conducted several statistical analysis including multivariable logistic regression analyses and found significant disparities in computer use and internet access among older adults in the United States. Individuals from Black non-Hispanic and Hispanic racial and ethnic groups, as well as those with lower income and residing in non-metro areas, had lower odds of using computers and accessing the internet, highlighting the need for targeted interventions and policies to promote equitable access to digital resources and healthcare services. The findings suggest that efforts are needed to address the disparities in access to technology and internet services, particularly among marginalized groups. Future direction and limitations were discussed.

Prevalence of smell, taste and chemesthesis disorders among patients with the Omicron Variant of SARS-CoV-2 in China (preprint)

Many studies have confirmed that chemosensory disorder (including smell, taste and chemesthesis) is one of the symptoms of COVID-19 infection. However, new data indicated that the changes of chemosensory sensation caused by COVID-19 may be different among different populations and COVID-19 variants. At present, there are few studies focusing on the influence of Omicron on qualitative changes and quantitative reductions of chemosensory in China. We conducted a cross-sectional study on COVID-19 Omicron variant patients to investigate the prevalence of chemosensory disorders and their chemosensory function before and during infection by online questionnaire. A total of 1245 patients with COVID-19 completed the study. The prevalence of smell, taste and chemesthesis disorder was 69.2%, 67.7% and 31.4% respectively. Sex, age, smoking and COVID-19-related symptoms such as lack of appetite, dyspnea and fatigue may have association with chemosensory disorders during COVID-19. Self-ratings of chemosensory function revealed that patients experienced a decline in the function of smell, taste and chemesthesis generally. Further studies are needed to combine the data using objective assessment and investigate the factors affecting chemosensory in COVID-19 through longitudinal research.

Spillover effect of the RMB and Non-USD currencies after the COVID-19 pandemic: Evidence captured from 30-minute high frequency data

Amid the faster- and wider-than-expected spread of COVID-19, which has added new twists to the global economic outlook and profoundly impacted the performance of major currencies around the world, the RMB has been performing well, and thus, its market standing has improved. However, uncertainties about the future pose enormous challenges to the RMB internationalization. By processing 30-minute high-frequency data, this paper aims to study changes in the characteristics of the relationship between the RMB and other non-USD currencies at five stages of the pandemic, first by means of auxiliary regression analysis, in which the pandemic is accounted for with a dummy variable, and then with a VAR-BEKK-GARCH model. The research shows that since the latter stages of the global pandemic, significant negative spillover effects among major non-USD currencies can be observed, while the independence of offshore RMB has increased gradually, and there have been weakening trends in the sustainability of the mean spillover and volatility spillover effects among other currencies. As the “regular pandemic prevention and control” begins to take hold in China and the geopolitical uncertainty increasingly outbreaks, the top priority in global currency market should be to resist the pressure of RMB independence with policy changes and increase caution in investing RMB assets.

Removal of virus aerosols by the combination of filtration and UV-C irradiation

The COVID-19 pandemic remains ever prevalent and afflicting—partially because one of its transmission pathways is aerosol. With the widely used central air conditioning systems worldwide, indoor virus aerosols can rapidly migrate, thus resulting in rapid infection transmission. It is therefore important to install microbial aerosol treatment units in the air conditioning systems, and we herein investigated the possibility of combining such filtration with UV irradiation to address virus aerosols. Results showed that the removal efficiency of filtration towards f2 and MS2 phages depended on the type of commercial filter material and the filtration speed, with an optimal velocity of 5 cm/s for virus removal. Additionally, it was found that UV irradiation had a significant effect on inactivating viruses enriched on the surfaces of filter materials;MS2 phages had greater resistance to UV-C irradiation than f2 phages. The optimal inactivation time for UV-C irradiation was 30 min, with higher irradiation times presenting no substantial increase in inactivation rate. Moreover, excessive virus enrichment on the filters decreased the inactivation effect. Timely inactivation is therefore recommended. In general, the combined system involving filtration with UV-C irradiation demonstrated a significant removal effect on virus aerosols. Moreover, the system is simple and economical, making it convenient for widespread implementation in air-conditioning systems.

Computational Analysis Illustrates the Mechanism of Qingfei Paidu Decoction in Blocking the Transition of COVID-19 Patients from Mild to Severe Stage.

BACKGROUND: The epidemic of SARS-CoV-2 has made COVID-19 a serious threat to human health around the world. The severe infections of SARS-CoV-2 are usually accompanied by higher mortality. Although the Qingfei Paidu Decoction (QFPDD) has been proved to be effective in blocking the transition of COVID-19 patients from mild to severe stage, its mechanism remains unclear. OBJECTIVE: This study aims to explore the mechanism of QFPDD in blocking the transition of COVID- 19 patients from mild to severe stage. MATERIALS AND METHODS: In the process of screening active ingredients, oral bioavailability (OB) and drug likeness (DL) are key indicators, which can help to screen out pivotal compounds. Therefore, with the criteria of OB≥30% and DL≥0.18, we searched active ingredients of QFPDD in the Traditional Chinese Medicine Systems Pharmacology (TCMSP, https://tcmspw.com/) by using its 21 herbs as keywords. RESULTS: We filtered out 6 pivotal ingredients from QFPDD by using the bioinformatics method, namely quercetin, luteolin, berberine, hederagenin, shionone and kaempferol, which can inhibit the highly expressed genes (i.e. CXCR4, ICAM1, CXCL8, CXCL10, IL6, IL2, CCL2, IL1B, IL4, IFNG) in severe COVID-19 patients. By performing KEGG enrichment analysis, we found seven pathways, namely TNF signaling pathway, IL-17 signaling pathway, Toll-like receptor signaling pathway, NFkappa B signaling pathway, HIF-1 signaling pathway, JAK-STAT signaling pathway, and Th17 cell differentiation, by which QFPDD could block the transition of COVID-19 patients from mild to severe stage. CONCLUSION: QFPDD can prevent the deterioration of COVID-19 in the following mechanisms, i.e. inhibiting SARS-CoV-2 invasion and replication, anti-inflammatory and immune regulation, and repairing body damage. These results will be helpful for the prevention and treatment of COVID-19.

Factors Influencing Exhibitor Satisfaction and Loyalty: A Meta-Analysis on the Chinese Exhibition Market

With the exhibition sector becoming increasingly important for the hospitality and tourism industry, it is critical to understand what drives the success of an exhibition. Through a comprehensive literature review, we first identified two broad categories of factors, namely exhibition attributes and exhibitor perceptions, that influence exhibitor satisfaction and loyalty. Next, a meta-analysis was conducted based on 26 empirical papers studying the Chinese exhibition market to quantitatively evaluate these relationships. The results show that among the exhibition attributes, booth management, service personnel, and exhibition environment are the most important factors affecting exhibitor satisfaction, while exhibition brand is the most important factor affecting loyalty. Among exhibitor perceptions, service quality is more important for satisfaction, while perceived value is more meaningful to loyalty. This study offers insights into strategies for exhibition organizers to cultivate long-term relationships, and to better cope with the challenges of emerging forces such as the Internet.

Structural basis for the inhibition of COVID-19 virus main protease by carmofur, an antineoplastic drug (preprint)

The antineoplastic drug Carmofur was shown to inhibit SARS-CoV-2 main protease (Mpro). Here the X-ray crystal structure of Mpro in complex with Carmofur reveals that the carbonyl reactive group of Carmofur is covalently bound to catalytic Cys145, whereas its fatty acid tail occupies the hydrophobic S2 subsite. Carmofur inhibits viral replication in cells (EC50 = 24.30 M) and it is a promising lead compound to develop new antiviral treatment for COVID-19.

Structure-Based Design, Synthesis and Biological Evaluation of Peptidomimetic Aldehydes as a Novel Series of Antiviral Drug Candidates Targeting the SARS-CoV-2 Main Protease (preprint)

SARS-CoV-2 is the etiological agent responsible for the COVID-19 outbreak in Wuhan. Specific antiviral drug are urgently needed to treat COVID-19 infections. The main protease (Mpro) of SARS-CoV-2 is a key CoV enzyme that plays a pivotal role in mediating viral replication and transcription, which makes it an attractive drug target. In an effort to rapidly discover lead compounds targeting Mpro, two compounds (11a and 11b) were designed and synthesized, both of which exhibited excellent inhibitory activity with an IC50 value of 0.05 M and 0.04 M respectively. Significantly, both compounds exhibited potent anti-SARS-CoV-2 infection activity in a cell-based assay with an EC50 value of 0.42 M and 0.33 M, respectively. The X-ray crystal structures of SARS-CoV-2 Mpro in complex with 11a and 11b were determined at 1.5 [A] resolution, respectively. The crystal structures showed that 11a and 11b are covalent inhibitors, the aldehyde groups of which are bound covalently to Cys145 of Mpro. Both compounds showed good PK properties in vivo, and 11a also exhibited low toxicity which is promising drug leads with clinical potential that merits further studies.

Structure-based drug design, virtual screening and high-throughput screening rapidly identify antiviral leads targeting COVID-19 (preprint)

A new coronavirus (CoV) identified as COVID-19 virus is the etiological agent responsible for the 2019-2020 viral pneumonia outbreak that commenced in Wuhan1-4. Currently there is no targeted therapeutics and effective treatment options remain very limited. In order to rapidly discover lead compounds for clinical use, we initiated a program of combined structure-assisted drug design, virtual drug screening and high-throughput screening to identify new drug leads that target the COVID-19 virus main protease (Mpro). Mpro is a key CoV enzyme, which plays a pivotal role in mediating viral replication and transcription, making it an attractive drug target for this virus5,6. Here, we identified a mechanism-based inhibitor, N3, by computer-aided drug design and subsequently determined the crystal structure of COVID-19 virus Mpro in complex with this compound. Next, through a combination of structure-based virtual and high-throughput screening, we assayed over 10,000 compounds including approved drugs, drug candidates in clinical trials, and other pharmacologically active compounds as inhibitors of Mpro. Six of these inhibit Mpro with IC50 values ranging from 0.67 to 21.4 M. Ebselen also exhibited promising antiviral activity in cell-based assays. Our results demonstrate the efficacy of this screening strategy, which can lead to the rapid discovery of drug leads with clinical potential in response to new infectious diseases where no specific drugs or vaccines are available.

Tracking the spread of novel coronavirus (2019-nCoV) based on big data (preprint)

The novel coronavirus (2019-nCoV) appeared in Wuhan in late 2019 have infected 34,598 people, and killed 723 among them until 8th February 2020. The new virus has spread to at least 316 cities (until 1st February 2020) in China. We used the traffic flow data from Baidu Map, and number of air passengers who left Wuhan from 1st January to 26th January, to quantify the potential infectious people. We developed multiple linear models with local population and air passengers as predicted variables to explain the variance of confirmed cases in every city across China. We found the contribution of air passengers from Wuhan was decreasing gradually, but the effect of local population was increasing, indicating the trend of local transmission. However, the increase of local transmission is slow during the early stage of novel coronavirus, due to the super strict control measures carried out by government agents and communities.