Background The COVID-19 pandemic has negatively impacted sporting activities across the world. However, practical training strategies for athletes to reduce the risk of infection during the pandemic has not been definitively studied. Objective The purpose of this report was to provide an overview of our challenges encountered during the reboot of high-performance sporting activities of the Japanese national handball team during the 3rd wave of the COVID-19 pandemic in Tokyo, Japan. Methods Twenty-nine Japanese national women9s handball players and 24 staff participated in the study. To initiate the reboot of their first training camp after COVID-19 stay-home social policy, we conducted: web-based health-monitoring, SARS-CoV-2 screening with polymerase chain reaction (PCR) test, real-time automated quantitative monitoring of social distancing on-court using video-based artificial intelligence (AI) algorithm, physical intensity evaluation with wearable heart rate (HR) and acceleration sensors, and self-reported online questionnaire. Results The training camp was conducted successfully with no COVID-19 infections. The web-based health monitoring and the frequent PCR testing with short turnaround times contributed remarkably in early detection of athletes9 health problems and risk screening. During handball, the AI based on-court social-distancing monitoring revealed key time-dependent spatial metrics to define player-to-player proximity. This information facilitated positive team members9 on and off-game distancing behavior. Athletes regularly achieved around 80% of maximum HR during training, indicating anticipated improvements in achieving their physical intensities. Self-reported questionnaires related to the COVID management in the training camp revealed a sense of security among the athletes allowing them to focus singularly on their training. Conclusion The current challenge provided us considerable know-how to create and manage a safe environment for high-performing athletes in the COVID-19 pandemic via the Japan Sports-Cyber Physical System (JS-CPS) of SRIP (Japan Sports Agency, Tokyo, Japan). This report is envisioned to provide informed decisions to coaches, trainers, policymakers from the sports federations in creating targeted, infection-free, sporting and training environments.
The molecular mechanisms of chronic fatigue syndrome (CFS, or Myalgic encephalomyelitis), a disease defined by extreme, long-term fatigue, remain largely uncharacterized, and presently no molecular diagnostic test and no specific treatments exist to diagnose and treat CFS patients. While CFS has historically had an estimated prevalence of 0.1-0.5% [1], concerns of a long hauler version of Coronavirus disease 2019 (COVID-19) that symptomatically overlaps CFS to a significant degree (Supplemental Table-1) and appears to occur in 10% of COVID-19 patients[2], has raised concerns of a larger spike in CFS [3]. Here, we established molecular signatures of CFS and a corresponding network-based disease context from RNA-sequencing data generated on whole blood and FACs sorted specific peripheral blood mononuclear cells (PBMCs) isolated from CFS cases and non-CFS controls. The immune cell type specific molecular signatures of CFS we identified, overlapped molecular signatures from other fatiguing illnesses, demonstrating a common molecular etiology. Further, after constructing a probabilistic causal model of the CFS gene expression data, we identified master regulator genes modulating network states associated with CFS, suggesting potential therapeutic targets for CFS.
Background: The nonpharmaceutical interventions (NPIs) for contact suppression have been widely used worldwide, which impose harmful burdens on the population and the local economy. The evaluation of alternative NPIs is needed to confront the pandemic with less disruption. By harnessing human mobility data, we develop an agent-based model that can evaluate the efficacies of NPIs with individualized mobility simulations. Based on the model, we propose the data-driven targeted interventions to mitigate the COVID-19 pandemic in Hong Kong without city-wide NPIs. Methods: We develop a data-driven agent-based model for 7.55 million Hong Kong residents to evaluate the efficacies of various NPIs in the first 80 days of the initial outbreak. The entire territory of Hong Kong has split into 4,905 500m×500m grids. The model can simulate detailed agent interactions based on the demographics data, public facilities and functional buildings, transportation systems, and travel patterns. The general daily human mobility patterns are adopted from Google Community Mobility Report. The scenario without any NPIs is set as the baseline. By simulating the epidemic progression and human movement at the individual level, we proposed model-driven targeted interventions, which focus on the surgical testing and quarantine of only a small portion of regions instead of enforcing NPIs in the whole city. The efficacious of common NPIs and the proposed targeted interventions are evaluated by extensive Monte Carlo simulations. Findings: Without NPIs, we estimate that there are 128,711 total infections (IQR 23,511-70,310) by the end of the 80-day simulation. The proposed targeted intervention averts 95.85% and 94.13% of baseline infections with only 100 (2.04%) and 50 (1.02%) grids being quarantined, respectively. Mild social distancing without testing results in 16,503 total cases (87.18% infections averted), rapid implementation of full lockdown and testing measures (such as the control measure in Mainland China) performs the best, with only 805 infections (99.37% infections averted). Testing-and-quarantining 10%, 20%, 50% of all symptomatic cases with 24-hour/48-hour avert 89.92%/ 87.78%, 95.47%/ 92.42%, and 97.93%/ 95.61% infections, respectively. Interpretation: Big data-driven mobility modeling can inform targeted interventions, which are able to effectively contain the COVID-19 outbreak with much lower disruption of the city. It represents a promising approach to sustainable NPIs to help us revive the economy of the city and the world.
Molecular epidemiology has provided an additive value to traditional public health tools by identifying SARS-CoV-2 clusters, or providing evidence that clusters based on virus sequences and contact tracing are highly concordant. Our aim was to infer the levels of virus importation and to estimate the impact of public health measures related to travel restrictions to local transmission in Greece. Our phylogenetic and phylogeographic analyses included 389 SARS-CoV-2 sequences collected during the first 7 months of the pandemic in Greece and a random collection in 5 replicates of 3,000 sequences sampled globally, as well as the best hits to our dataset identified by BLAST. Phylogenetic analyses revealed the presence of 70 genetically distinct viruses identified as independent introductions into Greece. The proportion of imported strains was 41%, 11.5%, and 8.8% during the three periods of sampling, namely, March (no travel restrictions), April to June (strict travel restrictions), and July to September (lifting of travel restrictions based on a thorough risk assessment), respectively. These findings reveal low levels of onward transmission from imported cases during summer and underscore the importance of targeted public health measures that can increase the safety of international travel during a pandemic.
Background: Biobanks are instrumental for accelerating research. Early in SARS-CoV-2 pandemic, the Argentinean Biobank of Infectious Diseases (BBEI) initiated the COVID19 collection and started its characterization. Methods: Blood samples from subjects with confirmed SARS-CoV-2 infection either admitted to health institutions or outpatients, were enrolled. Highly exposed seronegative individuals, were also enrolled. Longitudinal samples were obtained in a subset of donors, including persons who donated plasma for therapeutic purposes (plasma donors). SARS-CoV-2-specific IgM and IgG levels, IgG titers and IgG viral neutralization capacity were determined. Findings: Out of 825 donors, 57.1% were females and median age was 41 years (IQR 32-53 years). Donors were segregated as acute or convalescent donors, and mild versus moderate/severe disease donors. Seventy-eight percent showed seroconversion to SARS-CoV-2 specific antibodies. Specific IgM and IgG showed comparable positivity rates in acute donors. IgM detectability rate declined in convalescent donors while IgG detectability remained elevated in early (74,8%) and late (83%) convalescent donors. Among donors with follow-up samples, IgG levels seemed to decline more rapidly in plasma donors. IgG levels were higher with age, disease severity, number of symptoms, and was more durable in moderate/severe disease donors. Levels and titers of anti-spike/RBD IgG strongly correlated with neutralization activity against WT virus. Interpretation: The BBEI-COVID19 collection served a dual role in this SARS-CoV-2 global crisis. First, it feed researchers and developers transferring samples and data to fuel research projects. Second, it generated highly needed local data to understand and frame the regional dynamics of the infection.
Background At the time of this survey, September 1st, there were roughly 6 million COVID-19 cases and 176,771 deaths in the United States and no federally approved vaccine. The objective of this study was to explore the willingness to accept a COVID-19 vaccine in the United States and describe variability in this acceptability by key racial, ethnic and socio-demographic characteristics. Methods This was a cross-sectional digital survey that sampled participants from a nationally-representative panel maintained by a third party, Dynata. Dynata randomly sampled their database and emailed web-based surveys to United States residents ensuring the sample was matched to US Census estimates for age, race, gender, income, and Census region. Participants were asked how willing or unwilling they would be to: 1) receive a COVID-19 vaccine as soon as it was made publicly available, and 2) receive the influenza vaccine for the upcoming influenza season. Participants could respond with extremely willing, willing, unwilling, or extremely unwilling. For those who reported being unwilling to receive a COVID-19 vaccine, reasons for this hesitancy were captured. All participants were asked about where they obtain vaccine-related information, and which sources they trust most. Univariable and multivariable logistic regressions were conducted to examine the association of all demographic characteristics with willingness to receive COVID-19 vaccine. Findings From September 1st to September 7, 2020, 1592 respondents completed the online survey. Overall, weighted analyses found that only 58.9% of the sample population were either willing or extremely willing to receive a COVID-19 vaccine as soon as it was made publicly available. In comparison, 67.7% of the respondents were willing or extremely willing to take the influenza vaccine. By gender, 66.1% of males and 51.5% of females were willing to receive a COVID-19 vaccine. Males were significantly more willing to receive a COVID-19 vaccine (adjusted odds ratio (OR)=1.98, 95% CI: 1.56, 2.53; p<0.001) than females. Blacks were the least willing racial/ethnic group (48.8%) Blacks, (aOR=0.59, 95%CI: 0.43, 0.80; p<0.001) were significantly less willing, than whites, to receive a COVID-19 vaccine. There were numerous reasons provided for being unwilling to receive a COVID-19 vaccine. The most common reason was concern about the vaccine9s safety (36.9%), followed by concerns over its efficacy (19.1%). Interpretation In conclusion, we found that a substantial proportion (41%) of United States residents are unwilling to receive a COVID-19 vaccine as soon as one is made publicly available. We found that vaccine acceptance differs by sub-populations. In addition to sub-group differences in willingness to receive the vaccine, respondents provided a variety of reasons for being unwilling to receive the vaccine, driven by various sources of vaccine information (and misinformation). This compounds the challenge of delivering a safe and efficacious COVID-19 vaccine at a population level to achieve herd immunity. A multi-pronged and targeted communications and outreach effort is likely needed to achieve a high level of immunization coverage.
Covid-19 has resulted in the death of more than 1,500,000 individuals. Due to the pandemic9s severity, thousands of genomes have been sequenced and publicly stored with extensive records, an unprecedented amount of data for an outbreak in a single year. Simultaneously, prediction models offered region-specific and often contradicting results, while states or countries implemented mitigation strategies with little information on success, precision, or agreement with neighboring regions. Even though viral transmissions have been already documented in a historical and geographical context, few studies aimed to model geographic and temporal flow from viral sequence information. Here, using a case study of 7 states, we model the flow of the Covid-19 outbreak with respect to phylogenetic information, viral migration, inter- and intra-regional connectivity, epidemiologic and demographic characteristics. By assessing regional connectivity from genomic variants, we can significantly improve predictions in modeling the viral spread and intensity. Contrary to previous results, our study shows that the vast majority of the first outbreak can be traced to very few lineages, despite the existence of multiple worldwide transmissions. Moreover, our results show that while the distance from hotspots is initially important, connectivity becomes increasingly significant as the virus establishes itself. Similarly, isolated local strategies -such as relying on herd immunity- can negatively impact neighboring states. Our work suggests that we can achieve more efficient unified mitigation strategies with selective interventions.
Total and perimetral lockdowns were the strongest nonpharmaceutical interventions to fight against Covid-19, as well as the with the strongest socioeconomic collateral effects. Lacking a metric to predict the effect of lockdowns in the spreading of COVID-19 with, authorities and decision-makers opted for preventive measures that showed either too strong or not strong enough after a period of two to three weeks, once data about hospitalizations and deaths was available. We present here the radius of gyration as a candidate predictor of the trend in deaths by COVID-19 with an offset of three weeks. Indeed, the radius of gyration aggregates the most relevant microscopic aspects of human mobility into a macroscopic value, very sensitive to temporary trends and local effects, such as lockdowns and mobility restrictions. We use mobile phone data of more than 13 million users in Spain during a period of one year (from January 6th 2020 to January 10th 2021) to compute the users9 daily radius of gyration and compare the median value of the population with the evolution of COVID-19 deaths: we find that for all weeks where the radius of gyration is above a critical value (70% of its pre-pandemic score) the number of weekly deaths increases three weeks after. The reverse also stands: for all weeks where the radius of gyration is below the critical value, the number of weekly deaths decreased after three weeks. This observation leads to two conclusions: i) the radius of gyration can be used as a predictor of COVID-19-related deaths; and ii) partial mobility restrictions are as effective as a total lockdown as far the radius of gyration is below this critical value.
Study to Evaluate a Single Dose of STI-2020 (COVI-AMG™) in Adults With Mild COVID-19 Symptoms - Condition: Covid19
Interventions: Biological: COVI-AMG; Drug: Placebo
Sponsor: Sorrento Therapeutics, Inc.
Not yet recruiting
Phase III Study of AZD7442 for Treatment of COVID-19 in Outpatient Adults - Condition: COVID-19
Interventions: Drug: AZD7442; Drug: Placebo
Sponsor: AstraZeneca
Not yet recruiting
Fluvoxamine Administration in Moderate SARS-CoV-2 (COVID-19) Infected Patients - Condition: Covid19
Interventions: Drug: Placebo; Drug: Fluvoxamine
Sponsor: SigmaDrugs Research Ltd.
Recruiting
TOCILIZUMAB - An Option for Patients With COVID-19 Associated Cytokine Release Syndrome; A Single Center Experience - Condition: Covid19
Intervention: Drug: Tocilizumab
Sponsor: FMH College of Medicine and Dentistry
Completed
APT™ T3X on the COVID-19 Contamination Rate - Condition: COVID-19
Interventions: Drug: Tetracycline hydrochloride 3%; Drug: Placebo
Sponsors: University of Nove de Julho; Santa Casa de Misericórdia de Porto Alegre
Recruiting
A Study to Evaluate the Efficacy and Safety of VB-201 in Patients With COVID-19 - Condition: Severe COVID-19
Interventions: Drug: VB-201 + Standard of care; Drug: Standard of care
Sponsor: Vascular Biogenics Ltd. operating as VBL Therapeutics
Recruiting
COVID-19 Immunologic Antiviral Therapy With Omalizumab - Condition: Covid19
Interventions: Biological: Omalizumab; Other: Placebo
Sponsor: McGill University Health Centre/Research Institute of the McGill University Health Centre
Not yet recruiting
An Outpatient Clinical Trial Using Ivermectin and Doxycycline in COVID-19 Positive Patients at High Risk to Prevent COVID-19 Related Hospitalization - Condition: Covid19
Interventions: Drug: Ivermectin Tablets; Drug: Doxycycline Tablets; Drug: Placebo
Sponsor: Max Health, Subsero Health
Recruiting
Safety and Efficacy of Doxycycline and Rivaroxaban in COVID-19 - Condition: COVID-19
Interventions: Drug: Doxycycline Tablets; Drug: Rivaroxaban 15Mg Tab; Combination Product: Hydroxychloroquine and Azithromycin
Sponsor: Yaounde Central Hospital
Recruiting
Phase IIb Clinical Trial of Recombinant Novel Coronavirus Pneumonia (COVID-19) Vaccine (Sf9 Cells) - Condition: COVID-19
Interventions: Biological: Recombinant COVID-19 vaccine (Sf9 cells); Biological: Placebo
Sponsors: Jiangsu Province Centers for Disease Control and Prevention; West China Hospital
Not yet recruiting
Famotidine vs Placebo for the Treatment of Non-Hospitalized Adults With COVID-19 - Condition: Covid-19
Interventions: Drug: Famotidine; Drug: Placebo
Sponsors: Northwell Health; Cold Spring Harbor Laboratory
Recruiting
COVID-19 and Pregnancy: Placental and Immunological Impacts - Condition: Covid19
Intervention: Other: Specimens specific for the study
Sponsor: Hopital Foch
Recruiting
Study to Assess Efficacy and Safety of Inhaled Interferon-β Therapy for COVID-19 - Conditions: Severe Acute Respiratory Syndrome Coronavirus 2; COVID-19
Interventions: Drug: SNG001; Drug: Placebo
Sponsor: Synairgen Research Ltd.
Recruiting
Convalescent Plasma in the Treatment of Covid-19 - Condition: Covid19
Interventions: Biological: Convalescent plasma from COVID-19 donors; Biological: Placebo
Sponsors: Helsinki University Central Hospital; Finnish Red Cross
Recruiting
Early Use of Hyperimmune Plasma in COVID-19 - Condition: Covid19
Intervention: Other: hyperimmune plasma
Sponsors: Catherine Klersy; Policlinico San Matteo Pavia Fondazione IRCCS
Recruiting
Computational and Experimental Studies Reveal That Thymoquinone Blocks the Entry of Coronaviruses Into In Vitro Cells - CONCLUSION: Thymoquinone is a potential broad-spectrum inhibitor for the treatment of coronavirus infections.
SARS-CoV-2 recruits a haem metabolite to evade antibody immunity - The coronaviral spike is the dominant viral antigen and the target of neutralizing antibodies. We show that SARS-CoV-2 spike binds biliverdin and bilirubin, the tetrapyrrole products of haem metabolism, with nanomolar affinity. Using cryo-electron microscopy and X-ray crystallography we mapped the tetrapyrrole interaction pocket to a deep cleft on the spike N-terminal domain (NTD). At physiological concentrations, biliverdin significantly dampened the reactivity of SARS-CoV-2 spike with immune...
Magnitude and timing of the antiviral response determine SARS-CoV-2 replication early in infection - The interferon response is a potent antiviral defense mechanism, but its effectiveness depends on its timing relative to viral replication. Here, we report viral replication and host response kinetics in patients at the start of SARS-CoV-2 infection and explore the impact of these kinetics experimentally. In both longitudinal patient nasopharyngeal samples and airway epithelial organoids, we found that SARS-CoV-2 initially replicated exponentially with a doubling time of ∼6hr, and induced...
Genome-scale metabolic modeling reveals SARS-CoV-2-induced host metabolic reprogramming and identifies metabolic antiviral targets - Tremendous progress has been made to control the COVID-19 pandemic, including the development and approval of vaccines as well as the drug remdesivir, which inhibits the SARS-CoV-2 virus that causes COVID-19. However, remdesivir confers only mild benefits to a subset of patients, and additional effective therapeutic options are needed. Drug repurposing and drug combinations may represent practical strategies to address these urgent unmet medical needs. Viruses, including coronaviruses, are known...
Aurintricarboxylic acid and its metal ion complexes in comparative virtual screening versus Lopinavir and Hydroxychloroquine in fighting COVID-19 pandemic: synthesis and characterization - The salt of Aurintricarboxylic acid (ATA) was utilized in this study to synthesize new alkaline earth metal ion complexes. The analytical results proposed the isolation of mononuclear (Sr(+2)&Ba(+2)) and binuclear complexes (Mg(+2)&Ca(+2)). These complexes were analyzed by available analytical and spectral techniques. The tetrahedral geometry was suggested for all complexes (SP³) through bidentate binding mode of ligand with each central atom. UV-Vis spectra reveal the influence of L→M...
Structure of papain-like protease from SARS-CoV-2 and its complexes with non-covalent inhibitors - The pandemic caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) continues to expand. Papain-like protease (PLpro) is one of two SARS-CoV-2 proteases potentially targetable with antivirals. PLpro is an attractive target because it plays an essential role in cleavage and maturation of viral polyproteins, assembly of the replicase-transcriptase complex, and disruption of host responses. We report a substantive body of structural, biochemical, and virus replication studies that...
Mediterranean Diet for the Prevention of Gestational Diabetes in the Covid-19 Era: Implications of Il-6 In Diabesity - The aim of this review is to highlight the influence of the Mediterranean Diet (MedDiet) on Gestational Diabetes Mellitus (GDM) and Gestational Weight Gain (GWG) during the COVID-19 pandemic era and the specific role of interleukin (IL)-6 in diabesity. It is known that diabetes, high body mass index, high glycated hemoglobin and raised serum IL-6 levels are predictive of poor outcomes in coronavirus disease 2019 (COVID-19). The immunopathological mechanisms of the severe acute respiratory...
Current Updates on Naturally Occurring Compounds Recognizing SARS-CoV-2 Druggable Targets - The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been identified in China as the etiologic agent of the recent COVID-19 pandemic outbreak. Due to its high transmissibility, this virus quickly spread throughout the world, causing considerable health issues. The scientific community exerted noteworthy efforts to obtain therapeutic solutions for COVID-19, and new scientific networks were constituted. No certified drugs to efficiently inhibit the virus were identified, and the...
mTOR inhibition: a double-edged sword in patients with COVID-19? - The current COVID-19 is one of the deadliest pandemics in recent decades. In the lack of a specific treatment for this novel infection, knowing the role of cell signaling pathways in the pathogenesis of this infection could be useful in finding effective drugs against this disease. The mammalian or mechanistic target of rapamycin (mTOR) is an important cell signaling pathway that has important role in the regulation of cell growth, protein synthesis, and metabolism in reactance to upstream...
Virtual screening of phytochemical compounds as potential inhibitors against SARS-CoV-2 infection - CONCLUSION: The in silico methods used in this study suggests that the compound Piperolactam A to be the most effective inhibitor of S-protein from binding to the GRP78 receptor. By blocking the binding of the S-protein to the CS-GRP78 cell surface receptor, they can inhibit the binding of the virus to the host.
Identification of natural compounds as potent inhibitors of SARS-CoV-2 main protease using combined docking and molecular dynamics simulations - Coronavirus disease 2019 (COVID-19) has emerged from China and globally affected the entire population through the human-to-human transmission of a newly emerged virus called severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The genome of SARS-CoV-2 encodes several proteins that are essential for multiplication and pathogenesis. The main protease (M^(pro) or 3CL^(pro)) of SARS-CoV-2 plays a central role in its pathogenesis and thus is considered as an attractive drug target for the...
The SARS-Coronavirus Infection Cycle: A Survey of Viral Membrane Proteins, Their Functional Interactions and Pathogenesis - Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) is a novel epidemic strain of Betacoronavirus that is responsible for the current viral pandemic, coronavirus disease 2019 (COVID-19), a global health crisis. Other epidemic Betacoronaviruses include the 2003 SARS-CoV-1 and the 2009 Middle East Respiratory Syndrome Coronavirus (MERS-CoV), the genomes of which, particularly that of SARS-CoV-1, are similar to that of the 2019 SARS-CoV-2. In this extensive review, we document the most...
Computational Determination of Potential Multiprotein Targeting Natural Compounds for Rational Drug Design Against SARS-COV-2 - SARS-CoV-2 caused the current COVID-19 pandemic and there is an urgent need to explore effective therapeutics that can inhibit enzymes that are imperative in virus reproduction. To this end, we computationally investigated the MPD3 phytochemical database along with the pool of reported natural antiviral compounds with potential to be used as anti-SARS-CoV-2. The docking results demonstrated glycyrrhizin followed by azadirachtanin, mycophenolic acid, kushenol-w and 6-azauridine, as potential...
Immunogenic BNT162b vaccines protect rhesus macaques from SARS-CoV-2 - A safe and effective vaccine against COVID-19 is urgently needed in quantities sufficient to immunise large populations. We report the preclinical development of two BNT162b vaccine candidates, which contain lipid-nanoparticle (LNP) formulated nucleoside-modified mRNA encoding SARS-CoV-2 spike glycoprotein-derived immunogens. BNT162b1 encodes a soluble, secreted, trimerised receptor-binding domain (RBD-foldon). BNT162b2 encodes the full-length transmembrane spike glycoprotein, locked in its...
A drug repurposing screen identifies hepatitis C antivirals as inhibitors of the SARS-CoV2 main protease - Effective SARS-CoV-2 antiviral drugs are desperately needed. The SARS-CoV-2 main protease (Mpro) appears as an attractive target for drug development. We show that the existing pharmacopeia contains many drugs with potential for therapeutic repurposing as selective and potent inhibitors of SARS-CoV-2 Mpro. We screened a collection of ~6,070 drugs with a previous history of use in humans for compounds that inhibit the activity of Mpro in vitro and found ~50 compounds with activity against Mpro....
SARS-CoV-2 antibodies - - link
SARS-CoV-2 antibodies - - link
A PHARMACEUTICAL COMPOSITION OF NITAZOXANIDE AND MEFLOQUINE AND METHOD THEREOF - A pharmaceutical composition for treating Covid-19 virus comprising a therapeutically effective amount of a nitazoxanide or its pharmaceutically acceptable salts thereof and an mefloquine or its pharmaceutically acceptable salts thereof is disclosed. The pharmaceutical composition comprises the nitazoxanide in the ratio of 0.05% to 66% w/v and the mefloquine in the ratio of 0.05% to 90% w/v. The composition is found to be effective for the treatment of COVID -19 (SARS-CoV2). The pharmaceutical composition of nitazoxanide and mefloquine has been found to be effective and is unexpectedly well tolerated with a low rate of side-effects, and equally high cure-rates than in comparable treatments. - link
TREATMENT OF COVID-19 WITH REBAMIPIDE - - link
METHOD AND APPARATUS FOR ACQUIRING POWER CONSUMPTION IMPACT BASED ON IMPACT OF COVID-19 EPIDEMIC - - link
A PHARMACEUTICAL COMPOSITION OF ARTESUNATE AND MEFLOQUINE AND METHOD THEREOF - A pharmaceutical composition for treating Covid-19 virus comprising a therapeutically effective amount of an artesunate or its pharmaceutically acceptable salts thereof and a mefloquine or its pharmaceutically acceptable salts thereof is disclosed. The pharmaceutical composition comprises the artesunate in the ratio of 0.25% to 66% w/v and mefloquine in the ratio of 0.25% to 90% w/v. The composition is found to be effective for the treatment of COVID -19 (SARS-CoV2). The pharmaceutical composition of Artesunate and Mefloquine has been found to be effective and is unexpectedly well tolerated with a low rate of side-effects, and equally high cure-rates than in comparable treatments. The present invention also discloses a method to preparing the pharmaceutical composition comprising of Artesunate and Mefloquine. - link
Zahnbürstenaufsatz für eine elektrische Zahnbürste (20) umfassend einen Koppelabschnitt (2), über den der Zahnbürstenaufsatz (1) mit einer elektrischen Versorgungseinheit (10) der elektrischen Zahnbürste (20) verbindbar ist und einen Bürstenabschnitt (3), der zur Reinigung der Zähne ausgebildete Reinigungsmittel (3.1) aufweist, dadurch gekennzeichnet, dass an dem Zahnbürstenaufsatz (1) eine Sensoreinheit (4) vorgesehen ist, die dazu ausgebildet ist, selektiv das Vorhandensein eines Virus oder eines Antigen im Speichel eines Nutzers des Zahnbürstenaufsatzes (1) durch Messen zumindest eines virusspezifischen Parameters zu bestimmen.
一种医用可佩戴式防护口鼻的微型气幕系统 - 本发明公开了一种医用可佩戴式防护口鼻的微型气幕系统，包括框柱，框柱一侧开凿有气幕送风口和呼吸用送风口，气幕送风口和呼吸用送风口内分别连接有软管一和软管二，框柱内开凿有水平条缝和垂直条缝，水平条缝与垂直条缝均与气幕送风口相连通，框柱靠近水平条缝的一侧贯穿开凿有出风口，出风口内设有滤网，出风口贯穿框柱的一端连接有高效过滤器，滤网与高效过滤器之间连接有吸气泵，框柱靠近出风口的一侧连接有电池和开关。本发明通过提出一种在口腔处应用洁净空气幕阻挡气溶胶传播的可佩戴装置，可以在口腔类相关诊疗过程，保护医生和周围人的健康，避免引起可能引发的呼吸道疾病交叉感染。 - link
COVID-19 CLASSIFICATION RECOGNITION METHOD BASED ON CT IMAGES OF LUNGS - - link
Vorrichtung (10) umfassend einen Schutzschirm (12) und einen Filter (14) zum Herausfiltern von Viren (16) aus einem Schall erzeugenden Luftstrom (18), der von einem Musiker (20) beim Musizieren mit einem Musikinstrument oder beim Singen erzeugt wird, wobei der Schutzschirm (12) zur Verringerung des Risikos einer Infektion mit den Viren (16) dafür vorgesehen ist, wenigstens einen Teil der mit dem Luftstrom transportierten Viren (16) aufzufangen, der Schutzschirm (12) eine erste Seite (22) und eine zweite Seite (24) aufweist, die voneinander abgewandt sind, und der Schutzschirm (12) wenigstens einen sich von der ersten (22) bis zu der zweiten Seite (24) erstreckenden Durchlass (26) aufweist, wobei dieser Durchlass (26) zum Durchströmen mit wenigstens einem Teil des beim Musizieren erzeugten Luftstroms (18) vorgesehen ist und der Filter (14) zum Herausfiltern von Viren (16) aus dem Luftstrom (18) in dem Durchlass (26) des Schutzschirms (12) angeordnet ist.