In response to the COVID-19 pandemic, the South African government employed various nonpharmaceutical interventions (NPIs) in order to reduce the spread of SARS-CoV-2. In addition to mitigating transmission of SARS-CoV-2, these public health measures have also functioned in slowing the spread of other endemic respiratory pathogens. Surveillance data from South Africa indicates low circulation of respiratory syncytial virus (RSV) throughout the 2020-2021 Southern Hemisphere winter seasons. Here we fit age-structured epidemiological models to national surveillance data to predict the 2022 RSV outbreak following two suppressed seasons. We project a 32% increase in the peak number of monthly hospitalizations among infants < 2 years, with older infants (6-23 month olds) experiencing a larger portion of severe disease burden than typical. Our results suggest that hospital system readiness should be prepared for an intense RSV season in early 2022.
Abstract Importance: The suitability of the currently recommended 5-day COVID-19 isolation period remains unclear in an Omicron-dominant landscape. Early data suggest high positivity via rapid antigen test beyond day 5, but evidence gaps remain regarding optimal isolation duration and the best use of limited RATs to exit isolation. Objective: To determine the percentage of SARS-CoV-2 infected persons who remain positive via RAT on isolation day 5+ and assess possible factors associated with isolation duration. Design: We evaluated daily rapid antigen test case series data from 324 persons in a managed isolation program who initially tested positive between January 1 and February 11, 2022, an Omicron-dominant period. Arrival tests and twice-weekly screening were mandated. Positive persons isolated and began mandatory daily self-testing on day 5 until testing negative. Trained staff proctored exit testing. Setting: A mid-sized university in the United States. Participants: University students in isolation. Main Outcomes and Measures: The percentage of persons remaining positive on isolation day 5 and each subsequent day. The association between possible prognostic factors and isolation duration as measured by event-time-ratios (ETR). Results: We found 47% twice- weekly screeners and 26-28% less frequent screeners remained positive on day 5, with the percentage approximately halving each additional day. Having a negative test ≥ 10 days before diagnosis (ETR 0.85 (95% CI 0.75-0.96)) and prior infection > 90 days (ETR 0.50 (95% CI 0.33-0.76)) were significantly associated with shorter isolation. Symptoms before or at diagnosis (ETR 1.13 (95% CI 1.02-1.25)) and receipt of 3 vaccine doses (ETR 1.20 (95% CI 1.04-1.39)) were significantly associated with prolonged isolation. However, these factors were associated with duration of isolation, not infection, and could reflect how early infections were detected. Conclusions and Relevance: A high percentage of university students during an Omicron-dominant period remained positive after the currently recommended 5-day isolation, highlighting possible onward transmission risk. Persons diagnosed early in their infections or using symptom onset as their isolation start may particularly require longer isolations. Significant factors associated with isolation duration should be further explored to determine relationships with infection duration.
Rapidly identifying and isolating people with acute SARS-CoV-2 infection has been a core strategy to contain COVID-19 in Australia, but a proportion of infections go undetected. We estimated SARS-CoV-2 specific antibody prevalence (seroprevalence) among blood donors in metropolitan Melbourne following a COVID-19 outbreak in the city between June and September 2020. The aim was to determine the extent of infection spread and whether seroprevalence varied demographically in proportion to reported cases of infection. The design involved stratified sampling of residual specimens from blood donors (aged 20–69 years) in three postcode groups defined by low (<3 cases/1,000 population), medium (3-7 cases/1,000 population) and high (>7 cases/1,000 population) COVID-19 incidence based on case notification data. All specimens were tested using the Wantai SARS-CoV-2 total antibody assay. Seroprevalence was estimated with adjustment for test sensitivity and specificity for the Melbourne metropolitan blood donor and residential populations, using multilevel regression and poststratification. Overall, 4,799 specimens were collected between 23 November and 17 December 2020. Seroprevalence for blood donors was 0.87% (90% credible interval: 0.25–1.49%). The highest estimates, of 1.13% (0.25–2.15%) and 1.11% (0.28–1.95%), respectively, were observed among donors living in the lowest socioeconomic areas (Quintiles 1 and 2) and lowest at 0.69% (0.14–1.39%) among donors living in the highest socioeconomic areas (Quintile 5). When extrapolated to the Melbourne residential population, overall seroprevalence was 0.90% (0.26–1.51%), with estimates by demography groups similar to those for the blood donors. The results suggest a lack of extensive community transmission and good COVID-19 case ascertainment based on routine testing during Victoria’s second epidemic wave. Residual blood donor samples provide a practical epidemiological tool for estimating seroprevalence and information on population patterns of infection, against which the effectiveness of ongoing responses to the pandemic can be assessed.
Effective management of the COVID-19 pandemic requires widespread and frequent testing of the population for SARS-CoV-2 infection. Saliva has emerged as an attractive alternative to nasopharyngeal samples for surveillance testing as it does not require specialized personnel or materials for its collection and can be easily provided by the patient. We have developed a simple, fast, and sensitive saliva-based testing workflow that requires minimal sample treatment and equipment. After sample inactivation, RNA is quickly released and stabilized in an optimized buffer, followed by reverse transcription loop-mediated isothermal amplification (RT-LAMP) and detection of positive samples using a colorimetric and/or fluorescent readout. The workflow was optimized using 1,670 negative samples collected from 172 different individuals over the course of 6 months. Each sample was spiked with 50 copies/μL of inactivated SARS-CoV-2 virus to monitor the efficiency of viral detection. Using pre-defined clinical samples, the test was determined to be 100% specific and 97% sensitive, with a limit of detection comparable to commercially available RT-qPCR-based diagnostics. The method was successfully implemented in a CLIA laboratory setting for workplace surveillance and reporting. From April 2021-February 2022, more than 30,000 self-collected samples from 755 individuals were tested and 85 employees tested positive mainly during December and January, consistent with high infections rates in Massachusetts and nationwide. The rapid identification and isolation of infected individuals with trace viral loads before symptom onset minimized viral spread in the workplace.
Background: Little is known about the relative influence of demographic, behavioural, and vaccine-related factors on risk of post-vaccination SARS-CoV-2 infection. We aimed to identify risk factors for SARS-CoV-2 infection after primary and booster vaccinations. Methods: We undertook a prospective population-based study in UK adults (≥16 years) vaccinated against SARS-CoV-2, including data from Jan 12, 2021, to Feb 21, 2022. We modelled risk of post- vaccination SARS-CoV-2 infection separately for participants who had completed a primary course of vaccination (two-dose or, in the immunosuppressed, three-dose course of either ChAdOx1 nCoV-19 [ChAdOx1] or BNT1262b2) and for those who had additionally received a booster dose (BNT1262b2 or mRNA-1273). Cox regression models were used to explore associations between sociodemographic, behavioural, clinical, pharmacological, and nutritional factors and breakthrough infection, defined as a self-reported positive result on a lateral flow or reverse transcription PCR (RT-PCR) test for SARS-CoV-2. Models were further adjusted for weekly SARS-CoV-2 incidence at the local (lower tier local authority) level. Findings: 14,713 participants were included in the post-primary analysis and 10,665 in the post-booster analysis, with a median follow-up of 203 days (IQR 195-216) in the post-primary cohort and 85 days (66-103) in the post-booster cohort. 1051 (7.1%) participants in the post-primary cohort and 1009 (9.4%) participants in the post-booster cohort reported a breakthrough SARS-CoV-2 infection. A primary course of ChAdOx1 (vs BNT182b2) was associated with higher risk of infection, both in the post-primary cohort (adjusted hazard ratio 1.63, 95% CI 1.41-1.88) and in the post-booster cohort after boosting with mRNA-1273 (1.29 [1.03-1.61] vs BNT162b2 primary plus BNT162b2 booster). A lower risk of breakthrough infection was associated with older age (post-primary: 0.96 [0.96-0.97] per year; post-booster: 0.97 [0.96-0.98]), whereas a higher risk of breakthrough infection was associated with lower levels of education (post- primary: 1.66 [1.35-2.06] for primary or secondary vs postgraduate; post-booster: 1.36 [1.08-1.71]) and at least three weekly visits to indoor public places (post-primary: 1.38 [1.15-1.66] vs none; post-booster: 1.33 [1.10-1.60]). Conclusions: Vaccine type, socioeconomic status, age, and behaviours affect risk of breakthrough SARS-CoV-2 infection following a primary schedule and a booster dose.
Introduction: Dental settings have been considered high risk setting s for COVID-19. A Dental Public Health Team in South East Scotland have worked to risk assess the situation timeously to break chains of transmission. Aim: To present routine data produced from a contact tracing service for COVID-19 cases in the dental setting with a focus on transmission. Design: Observational retrospective analysis of a routine data set of COVID-19 cases associated with a dental setting reported via the national contact tracing system for two health board areas in the east of Scotland. Methods: COVID-19 cases were confirmed by PCR testing. Descriptive statistics are used to summarise the data collected over a 13-month period (Oct 2020-Dec 2021). A narrative presents themes identified during contact tracing that led to transmission within a dental setting and includes a case study. Results: A total of 811 incidents are included. No evidence of staff to patient transmission or vice versa was found in this study. Staff to staff transmission occurred in non-clinical areas contributing to 33% of total staff cases. Conclusion: Transmission of COVID-19 in a dental setting in the context of this study appears to be confined to non-clinical areas. Future pandemic plans should include tools to aid with implementation of guidance in non-clinical areas.
Background: The COVID-19 pandemic has had a devastating impact on the world over the past two years (2020-2021). One of the key questions about its future trajectory is the protection from subsequent infections and disease conferred by a previous infection, as the SARS-CoV-2 virus belongs to the coronaviruses, a group of viruses the members of which are known for their ability to reinfect convalescent individuals. Bulgaria, with high rates of previous infections combined with low vaccination rates and an elderly population, presents a somewhat unique context to study this question. Methods: We use detailed governmental data on registered COVID-19 cases to evaluate the incidence and outcomes of COVID-19 reinfections in Bulgaria in the period between March 2020 and early December 2021. Results: For the period analyzed, a total of 4,106 cases of individuals infected more than once were observed, including 31 cases of three infections and one of four infections. The number of reinfections increased dramatically during the Delta variant-driven wave of the pandemic towards the end of 2021. We observe a moderate reduction of severe outcomes (hospitalization and death) in reinfections relative to primary infections, and a more substantial reduction of severe outcomes in breakthrough infections in vaccinated individuals. Conclusions: In the available datasets from Bulgaria, prior infection appears to provide some protection from severe outcomes, but to a lower degree than the reduction in severity of breakthrough infections in the vaccinated compared to primary infections in the unvaccinated.
Background: Male sex and old age are risk factors for severe COVID-19, but the intersection of sex and aging on antibody responses to SARS-CoV-2 vaccines has not been characterized. Methods: Plasma samples were collected from older adults (75-98 years) before and after three doses of SARS-CoV-2 mRNA vaccination, and from younger adults (18-74 years) post-dose two, for comparison. Antibody binding to SARS-CoV-2 antigens (spike protein [S], S-receptor binding domain [S-RBD], and nucleocapsid [N]) and functional activity against S were measured against the vaccine virus and variants of concern (VOC). Results: Vaccination induced greater antibody titers in older females than males, with both age and frailty associated with reduced antibody responses to vaccine antigens in males, but not females. ACE2 binding inhibition declined more than anti-S or anti-S-RBD IgG in the six months following the second dose (28-fold vs. 12- and 11-fold decreases in titer). The third dose restored functional antibody responses and eliminated disparities caused by sex, age, and frailty in older adults. Responses to the VOC were significantly reduced relative to the vaccine virus, with older males having lower titers to the VOC than females. Older adults had lower responses to the vaccine and VOC viruses than younger adults, with disparities being greater in males than females. Conclusion: Older and frail males may be more vulnerable to breakthrough infections due to low antibody responses before receipt of a third vaccine dose. Promoting third dose coverage in older adults, especially males, is crucial to protecting this vulnerable population.
Background. The elderly are highly vulnerable to severe Covid-19. Waning immunity and emergence of Omicron have caused concerns about reduced effectiveness of Covid-19 vaccines. The objective was to estimate vaccine effectiveness (VE) against severe Covid-19 among the elderly. Methods. This nationwide, register-based cohort study included all residents aged 70 years and over in Finland. The follow-up started on December 27, 2020, and ended on February 19, 2022. The study outcomes were Covid-19-related hospitalization and intensive care unit (ICU) admission timely associated with SARS-CoV-2 infection. VE was estimated as 1 minus the hazard ratio comparing the vaccinated and unvaccinated and taking into account time since vaccination. Omicron-specific VE was evaluated as the effectiveness observed since January 01,
Background: Scarce information exists in relation to the comparison of seroconversion and adverse events following immunization (AEFI) with different SARS-CoV-2 vaccines. Our aim was to correlate the magnitude of the antibody response to vaccination with previous clinical conditions and AEFI. Methods: A multicentric comparative study where SARS-CoV-2 spike 1-2 IgG antibodies IgG titers were measured at baseline, 21-28 days after the first and second dose (when applicable) of the following vaccines: BNT162b2 mRNA, mRNA-1273, Gam-COVID-Vac, Coronavac, ChAdOx1-S, Ad5-nCoV and Ad26.COV2. Mixed model and Poisson generalized linear models were performed. Results: We recruited 1867 subjects [52 (SD 16.8) years old, 52% men]. All vaccines enhanced anti-S1 and anti-S2 IgG antibodies over time (p<0.01). The highest increase after the first and second dose was observed in mRNA-1273 (p<0.001). There was an effect of previous SARS-CoV-2 infection; and an interaction of age with SARS-CoV-2, Gam-COVID-Vac and ChAdOx1-S (p<0.01). There was a negative correlation of Severe or Systemic AEFI (AEs) of naive SARS-CoV-2 subjects with age and sex (p<0.001); a positive interaction between the delta of antibodies with Gam-COVID-Vac (p=0.002). Coronavac, Gam-COVID-Vac and ChAdOx1-S had less AEs compared to BNT162b (p<0.01). mRNA-1273 had a higher number of AEFIs. The delta of the antibodies showed an association with AEFIs in previously infected individuals (p<0.001). Conclusions: The magnitude of seroconversion is predicted by age, vaccine type and SARS-CoV-2 exposure. AEs are correlated with age, sex, and vaccine type. The delta of the antibody response is positively correlated with AEs in patients previously exposed to SARS-CoV-2.
Background: The coronavirus disease 2019 (COVID-19) presents an urgent threat to global health. Prediction models that accurately estimate mortality risk in hospitalized patients could assist medical staff in treatment and allocating limited resources. Aims: To externally validate two promising previously published risk scores that predict in-hospital mortality among hospitalized COVID-19 patients. Methods: Two cohorts were available; a cohort of 1028 patients admitted to one of nine hospitals in Lombardy, Italy (the Lombardy cohort) and a cohort of 432 patients admitted to a hospital in Leiden, the Netherlands (the Leiden cohort). The primary endpoint was in-hospital mortality. All patients were adult and tested COVID-19 PCR-positive. Model discrimination and calibration were assessed. Results: The C-statistic of the 4C mortality score was good in the Lombardy cohort (0.85, 95CI: 0.82-0.89) and in the Leiden cohort (0.87, 95CI: 0.80-0.94). Model calibration was acceptable in the Lombardy cohort but poor in the Leiden cohort due to the model systematically overpredicting the mortality risk for all patients. The C-statistic of the CURB-65 score was good in the Lombardy cohort (0.80, 95CI: 0.75-0.85) and in the Leiden cohort (0.82, 95CI: 0.76-0.88). The mortality rate in the CURB-65 development cohort was much lower than the mortality rate in the Lombardy cohort. A similar but less pronounced trend was found for patients in the Leiden cohort. Conclusion: Although performances did not differ greatly, the 4C mortality score showed the best performance. However, because of quickly changing circumstances, model recalibration may be necessary before using the 4C mortality score.
Background: Acute Kidney Injury (AKI) is a very frequent condition, occurring in about one in three patients admitted to an intensive care unit (ICU). AKI is a syndrome defined as a sudden decrease in glomerular filtration rate. However, this unified definition does not reflect the various mechanisms involved in AKI pathophysiology, each with its own characteristics and sensitivity to therapy. In this study, we aimed at developing an innovative machine learning based method able to subphenotype AKI according to its pattern of risk factors. Methods: We adopted a three-step pipeline of analyses. Firstly, we looked for factors associated with AKI using a generalized additive model. Secondly, we calculated the importance of each identified AKI related factor in the estimated AKI risk to find the main risk factor for AKI, at the single patient level. Lastly, we clusterized AKI patients according to their profile of risk factors and compared the clinical characteristics and outcome of every cluster. We applied this method to a cohort of severe Covid19 patients hospitalized in the ICU of Geneva University Hospitals. Results: Among the 250 patients analyzed, we found ten factors associated with AKI development. Using the individual expression of these factors, we identified three groups of AKI patients, based on the use of Lopinavir/Ritonavir, a prior history of diabetes mellitus and baseline eGFR and ventilation. The three clusters expressed distinct characteristic in terms of AKI severity and recovery, metabolic patterns and ICU mortality. Conclusion: We propose here a new method to phenotype AKI patients according to their most important individual risk factors for AKI development. When applied to an ICU cohort of Covid19 patients, we were able to differentiate three groups of patients. Each expressed specific AKI characteristics and outcomes, which probably reflects a distinct pathophysiology.
Background: The third wave of COVID-19 in England peaked in January 2022 resulting from the rapid transmission of the Omicron variant. However, rates of hospitalisations and deaths were substantially lower than in the first and second waves Methods: In the REal-time Assessment of Community Transmission-1 (REACT-1) study we obtained data from a random sample of 94,950 participants with valid throat and nose swab results by RT-PCR during round 18 (8 February to 1 March 2022). Findings: We estimated a weighted mean SARS-CoV-2 prevalence of 2.88% (95% credible interval [CrI] 2.76-3.00), with a within-round reproduction number (R) overall of 0.94 (0.91-0.96). While within-round weighted prevalence fell among children (aged 5 to 17 years) and adults aged 18 to 54 years, we observed a level or increasing weighted prevalence among those aged 55 years and older with an R of 1.04 (1.00-1.09). Among 1,195 positive samples with sublineages determined, only one (0.1% [0.0-0.5]) corresponded to AY.39 Delta sublineage and the remainder were Omicron: N=390, 32.7% (30.0-35.4) were BA.1; N=473, 39.6% (36.8-42.5) were BA.1.1; and N=331, 27.7% (25.2-30.4) were BA.2. We estimated an R additive advantage for BA.2 (vs BA.1 or BA.1.1) of 0.40 (0.36-0.43). The highest proportion of BA.2 among positives was found in London. Interpretation: In February 2022, infection prevalence in England remained high with level or increasing rates of infection in older people and an uptick in hospitalisations. Ongoing surveillance of both survey and hospitalisations data is required. Funding: Department of Health and Social Care, England.
Effect of Bronchipret on Antiviral Immune Response in Patients With Mild COVID-19 - Condition: COVID-19
Intervention: Drug: Bronchipret
Sponsors: Dr. Frank Behrens; Bionorica SE
Recruiting
EPIC-Peds: Study of Oral PF-07321332 (Nirmatrelvir)/Ritonavir in Nonhospitalized COVID-19 Pediatric Patients at Risk for Severe Disease - Condition: COVID-19
Interventions: Drug: nirmatrelvir; Drug: ritonavir
Sponsor: Pfizer
Not yet recruiting
Evaluating Public Health Interventions to Improve COVID-19 Testing Among Underserved Populations - Condition: COVID-19
Intervention: Behavioral: Public Health Intervention Package
Sponsors: Kathleen Fairfield; MaineHealth
Not yet recruiting
COVID-19 Serologic Strategies for Skilled Nursing Facilities - Condition: COVID-19
Intervention: Other: Cohorting
Sponsors: NYU Langone Health; Brown University; National Institute on Aging (NIA)
Recruiting
Safety, Tolerability and Immunogenicity of Recombinant COVID-19 Vaccine Betuvax-CoV-2 - Condition: COVID-19
Interventions: Biological: Betuvax-CoV-2; Drug: Placebo
Sponsors: Human Stem Cell Institute, Russia; Betuvax LLC; CEG BIO LLC
Active, not recruiting
Evaluation of Full Versus Fractional Dose of COVID-19 Vaccine Given as a Booster for the Prevention of COVID 19 in Adults in Mongolia- Mongolia, Indonesia, Australia Coronavirus (MIACoV). - Condition: COVID-19
Interventions: Biological: Tozinameran - Standard Dose; Biological: Tozinameran - Fractional Dose
Sponsors: Murdoch Childrens Research Institute; Coalition for Epidemic Preparedness Innovations; PATH; The Peter Doherty Institute for Infection and Immunity
Not yet recruiting
Early High-Titre Convalescent Plasma in Clinically Vulnerable Individuals With Mild COVID-19 - Condition: COVID-19
Interventions: Biological: COVID-19 convalescent and vaccinated plasma; Other: Current standard of care
Sponsors: Centre Hospitalier Universitaire de Besancon; Deutsches Rotes Kreuz DRK-Blutspendedienst Baden-Wurttemberg-Hessen; NHS Blood and Transplant
Not yet recruiting
Efficacy of TCM Capsules Lian Hua Qing Wen Jiao Nang in Mild COVID-19 Patients - Condition: COVID-19
Interventions: Other: TCM intervention; Other: Placebo intervention
Sponsor: Singapore Chung Hwa Medical Institution
Not yet recruiting
Trial to Study the Efficacy and Safety of BEJO Red Ginger in COVID-19 Patients With Mild Symptoms - Condition: COVID-19
Interventions: Dietary Supplement: BEJO Red Ginger Extract; Other: Placebo
Sponsors: Research Center for Chemistry, National Research and Innovation Agency of Indonesia; National Research and Innovation Agency of Indonesia; RSDC Wisma Atlet; PT. Bintang Toedjoe
Recruiting
Immuno-bridging and Broadening Study of a Whole, Inactivated COVID-19 Vaccine BBV152 in Healthy Adults - Condition: COVID-19
Intervention: Biological: BBV152
Sponsor: Ocugen
Active, not recruiting
Self-Management Interventions for Long-COVID - Condition: COVID-19
Interventions: Behavioral: Education and Strategies Intervention; Behavioral: Mindfulness Skills Intervention
Sponsors: Toronto Rehabilitation Institute; Canadian Institutes of Health Research (CIHR); University Health Network, Toronto
Recruiting
COVID-19 Hyper Coagulability Care by LLLT - Condition: COVID-19 Pneumonia
Interventions: Radiation: Low level laser Therapy; Other: Circulatory exercises
Sponsor: Cairo University
Recruiting
The BOOSTED (Booster Options Or Switching Tested for Effectiveness and Downsides Study) Trial (COVID-19) - Conditions: COVID-19; Vaccine Reaction; COVID-19 Pandemic
Interventions:
Behavioral: Moderna Booster Vaccine; Behavioral: Pfizer Booster Vaccine
Sponsor:
University of California, San Francisco
Enrolling by invitation
Add-on Study on Solidarity Trial Plus in Nepal - Condition: COVID-19
Intervention: Drug: Artesunate Injection
Sponsors:
Nepal Health Research Council; World Health Organization
Recruiting
MF59®) and mRNA (MIPSCo-mRNA-RBD-1) Vaccines in Healthy Adults** - Condition: SARS-CoV-2
Interventions: Biological: Adjuvanted SARS-CoV-2 beta variant RBD recombinant protein vaccine (DoCo-Pro-RBD-1 + MF59); Biological: SARS-CoV-2 beta variant RBD mRNA vaccine; Other: Normal Saline
Sponsors: University of Melbourne; Southern Star Research
Not yet recruiting
Evaluation of a new bead-based assay to measure levels of human tissue factor antigen in extracellular vesicles in plasma - CONCLUSION: Our data suggest that the MACSPlex Exosome Kit gives a nonspecific signal for TF and does not have the sensitivity to detect TF+ EVs in plasma.
Functional food: complementary to fight against COVID-19 - BACKGROUND: The novel coronavirus has embarked on a global pandemic and severe mortality with limited access for its treatments and medications. For the lack of time, research, and enough efficacy, most vaccines are underdeveloped or unreachable to society. However, many recent studies suggest various alternative, complementary remedies for COVID-19, which are functional foods. This review provides an overview of how functional foods can play a great role through modulating the host immune…
Stability of Risk Perception Across Pandemic and Non-pandemic Situations Among Young Adults: Evaluating the Impact of Individual Differences - Previous research suggests a higher perceived risk associated with a risky behavior predicts a lower likelihood of involvement in that behavior; however, this relationship can vary based on personality characteristics such as impulsivity and behavioral activation. During the COVID-19 pandemic, individuals began to re-evaluate the level of risk associated with everyday behaviors. But what about risks associated with “typical” risk-taking behaviors? In the present study, 248 undergraduate student…
Crystallization of Feline Coronavirus M(pro) With GC376 Reveals Mechanism of Inhibition - Coronaviruses infect a variety of hosts in the animal kingdom, and while each virus is taxonomically different, they all infect their host via the same mechanism. The coronavirus main protease (M^(pro), also called 3CL^(pro)), is an attractive target for drug development due to its essential role in mediating viral replication and transcription. An M^(pro) inhibitor, GC376, has been shown to treat feline infectious peritonitis (FIP), a fatal infection in cats caused by internal mutations in the…
Potential Inhibitors Targeting Papain-Like Protease of SARS-CoV-2: Two Birds With One Stone - Severe acute respiratory syndrome Coronavirus-2 (SARS-CoV-2), the pathogen of the Coronavirus disease-19 (COVID-19), is still devastating the world causing significant chaos to the international community and posing a significant threat to global health. Since the first outbreak in late 2019, several lines of intervention have been developed to prevent the spread of this virus. Nowadays, some vaccines have been approved and extensively administered. However, the fact that SARS-CoV-2 rapidly…
Clofazimine derivatives as potent broad-spectrum antiviral agents with dual-target mechanism - Thirty-two clofazimine derivatives, of which twenty-two were new, were synthesized and evaluated for their antiviral effects against both rabies virus and pseudo-typed SARS-CoV-2, taking clofazimine (1) as the lead. Among them, compound 15f bearing 4-methoxy-2-pyridyl at the N5-position showed superior or comparable antiviral activities to lead 1, with the EC(50) values of 1.45 μM and 14.6 μM and the SI values of 223 and 6.1, respectively. Compound 15f inhibited rabies and SARS-CoV-2 by…
Potential inhibitor for blocking binding between ACE2 and SARS-CoV-2 spike protein with mutations - At the time of writing, more than 440 million confirmed coronavirus disease 2019 (COVID-19) cases and more than 5.97 million COVID-19 deaths worldwide have been reported by the World Health Organization since the start of the outbreak of the pandemic in Wuhan, China. During the COVID-19 pandemic, many variants of SARS-CoV-2 have arisen because of high mutation rates. N501Y, E484K, K417N, K417T, L452R and T478K in the receptor binding domain (RBD) region may increase the infectivity in several…
A highly sensitive cell-based luciferase assay for high-throughput automated screening of SARS-CoV-2 nsp5/3CLpro inhibitors - Effective drugs against SARS-CoV-2 are urgently needed to treat severe cases of infection and for prophylactic use. The main viral protease (nsp5 or 3CLpro) represents an attractive and possibly broad-spectrum target for drug development as it is essential to the virus life cycle and highly conserved among betacoronaviruses. Sensitive and efficient high- throughput screening methods are key for drug discovery. Here we report the development of a gain-of-signal, highly sensitive cell-based…
New AKT-dependent mechanisms of anti-COVID-19 action of high-CBD Cannabis sativa extracts - COVID-19 is caused by the SARS-CoV-2 virus, which enters target cells via interactions with ACE2 and TMPRSS2. Here, we show AKT serine/threonine kinase-dependent epigenetic control of ACE2 and TMPRSS2 expression by high-cannabidiol (CBD) cannabis extracts and their individual components. CBD alone and extracts #1, #5, #7, and #129 downregulated ACE2 and TMPRSS2 in lung fibroblast WI-38 cells through AKT-mediated inhibition. miR-200c-3p and let-7a-5p were two contributing miRNAs in CBD-mediated…
A Natural Plant Source-Tea Polyphenols, a Potential Drug for Improving Immunity and Combating Virus - The coronavirus disease 2019 (COVID-19) is still in a global epidemic, which has profoundly affected people’s lives. Tea polyphenols (TP) has been reported to enhance the immunity of the body to COVID-19 and other viral infectious diseases. The inhibitory effect of TP on COVID-19 may be achieved through a series of mechanisms, including the inhibition of multiple viral targets, the blocking of cellular receptors, and the activation of transcription factors. Emerging evidence shows…
Structural basis of nanobodies neutralizing SARS-CoV-2 variants - Because of the evolutionary variants of SARS-CoV-2, development of broad-spectrum neutralizing antibodies resilient to virus escape is urgently needed. We identified a group of high-affinity nanobodies from camels immunized with receptor- binding domain (RBD) of SARS-CoV-2 spike protein and resolved the structures of two non-competing nanobodies (NB1A7 and NB1B11) in complex with RBD using X-ray crystallography. The structures show that NB1A7 targets the highly conserved cryptic epitope shared by…
Patients With Autoimmune Thyroiditis Present Similar Immunological Response to COVID-19 BNT162b2 mRNA Vaccine With Healthy Subjects, While Vaccination May Affect Thyroid Function: A Clinical Study - CONCLUSIONS: This study provided evidence that patients with autoimmune thyroiditis present similar immunological response to COVID-19 BNT162b2 mRNA vaccine (Comirnaty, Pfizer/BioNTech) with healthy subjects, while vaccination may affect thyroid function.
Correction: Clinical impact of COVID-19 on patients with cancer treated with immune checkpoint inhibition - No abstract
Establishment of a stable SARS-CoV-2 replicon system for application in high-throughput screening - Experiments with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) are limited by the need for biosafety level 3 (BSL3) conditions. A SARS-CoV-2 replicon system rather than an in vitro infection system is suitable for antiviral screening since it can be handled under BSL2 conditions and does not produce infectious particles. However, the reported replicon systems are cumbersome because of the need for transient transfection in each assay. In this study, we constructed a bacterial…
Combined Computational NMR and Molecular Docking Scrutiny of Potential Natural SARS-CoV-2 M(pro) Inhibitors - In continuation of the search for potential drugs that inhibit the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), in this work, a combined approach based on the modeling of NMR chemical shifts and molecular docking is suggested to identify the possible suppressors of the main protease of this virus among a number of natural products of diverse nature. Primarily, with the aid of an artificial neural network, the problem of the reliable determination of the stereochemical structure…
MACHINE LEARNING TECHNIQUE TO ANALYZE THE WORK PRESSURE OF PARAMEDICAL STAFF DURING COVID 19 - Machine learning technique to analyse the work pressure of paramedical staff during covid 19 is the proposed invention that focuses on identifying the stress levels of paramedical staff. The invention focuses on analysing the level of stress that is induced on the paramedical staff especially during pandemic. - link
CBD Covid 19 Protection - - link
METHOD AND SYSTEM FOR IMPLEMENTING IMPROVED GENERALIZED FUZZY PEER GROUP WITH MODIFIED TRILATERAL FILTER TO REMOVE MIXED IMPULSE AND ADAPTIVE WHITE GAUSSIAN NOISE FROM COLOR IMAGES - ABSTRACTMETHOD AND SYSTEM FOR IMPLEMENTING IMPROVED GENERALIZED FUZZY PEER GROUP WITH MODIFIED TRILATERAL FILTER TO REMOVE MIXED IMPULSE AND ADAPTIVE WHITE GAUSSIAN NOISE FROM COLOR IMAGESThe present invention provides a new approach is proposed that includes fuzzy-based approach and similarity function for filtering the mixed noise. In a peer group, the similarity function was adaptive to edge information and local noise level, which was utilized for detecting the similarity among pixels. In addition, a new filtering method Modified Trilateral Filter (MTF) with Improved Generalized Fuzzy Peer Group (IGFPG) is proposed to remove mixed impulse and Adaptive White Gaussian Noise from Color Images. The modified trilateral filter includes Kikuchi algorithm and loopy belief propagation to solve the inference issues on the basis of passing local message. In this research work, the images were collected from KODAK dataset and a few real time multimedia images like Lena were also used for testing the effectiveness of the proposed methodology. - link
A STUDY ON MENTAL HEALTH, STRESS AND ANXIETY AMONG COLLEGE STUDENTS DURING COVID-19 - SARS-Cov-2 virus causes an infectious disease coronavirus(COVID-19).The Students life is made harder by COVID-19.The human reaction that happens normally to everyone through physical or emotional tension is stress. Feeling of angry, nervous and frustration caused through any thought or events leads to stress. As college closures and cancelled events, students are missing out on some of the biggest moments of their young lives as well as everyday moments like chatting with friend, participating in class and cultural programme. For students facing life changes due to the outbreak are feeling anxious, isolated and disappointed which lead them to feel all alone. We like to take the help of expert adolescent psychologist to find out the techniques to practice self-care and look after their mental health. We would like to find out whether techniques used reduce the anxiety and stress among Engineering Students. - link
A METHOD FOR THE TREATMENT OF COVID-19 INFECTIONS WITH PALMITOYLETHANOLAMIDE - - link
A CENTRAL TRANSACTION AUTHENTIC SYSTEM FOR OTP VERIFICATION - The present invention relates to a central transaction authentic system (100) for OTP verification. The system (100) comprises one or more user display units (102), one or more financial units (104), an account deposit unit (106), an OTP authentication unit (108) and a service server unit (110). The central transaction authentic system (100) for OTP verification work as Anti-money laundering measure. The system (100) also helpful for minimizing rate of cybercrime. The central transaction authentic system (100) for OTP verification that can neutralize digital financial fraud. The present invention provides a central transaction authentic system (100) for OTP verification that can monitor and analyze every transaction and customer interaction across its customer base for suspicious and potentially criminal activity. - link
FORMULATIONS AND METHOD FOR PREPARATION OF HERBAL MEDICATED TRANSPARENT SOAP - ABSTRACTFORMULATIONS AND METHOD FOR PREPARATION OF HERBAL MEDICATED TRANSPARENT SOAPThe present invention provides formulations for herbal medicated transparent soaps and method of preparation of the same. Transparent soaps are prepared by saponification of mixture of non-edible oils to get the desired consistency and cleaning action. Nonvolatile alcohols and other transparency promoters are used to get good transparency and binding properties. Herbal extracts of different herbs are added to get medicated properties. - link
SOCIAL NAVIGATION SYSTEM FOR MOBILE ROBOTS IN THE EMERGENCY DEPARTMENT TECHNOLOGY - The emergency department (ED) is a safety-critical environment in which healthcare workers (HCWs) are overburdened, overworked, and have limited resources, especially during the COVID-19 pandemic. One way to address this problem is to explore the use of robots that can support clinical teams, e.g., to deliver materials or restock supplies. However, due to EDs being overcrowded, and the cognitive overload HCWs experience, robots need to understand various levels of patient acuity so they avoid disrupting care delivery. In this invention, we introduce the Safety-Critical Deep Q-Network (SafeDQN) system, a new acuity-aware navigation system for mobile robots. SafeDQN is based on two insights about care in EDs: high-acuity patients tend to have more HCWs in attendance and those HCWs tend to move more quickly. We compared SafeDQN to three classic navigation methods, and show that it generates the safest, quickest path for mobile robots when navigating in a simulated ED environment. We hope this work encourages future exploration of social robots that work in safety-critical, human-centered environments, and ultimately help to improve patient outcomes and save lives. Figure 1. - link
A MACHINE LEARNING BASED SYSTEM FOR DETECTING OMICRON VARIANT FROM A GENOME SEQUENCE AND METHOD THEREOF - The present invention discloses a machine learning based system for detecting omicron variant from a genome sequence and method thereof. The system includes, but not limited to, a processing unit having a memory unit and a machine learning interface embedded on it for validating a variant-induced changes in the one or more condition-specific cell variables are combined to output a single numerical variant score for each of the one or more variants, the variant score computed by one of outputting the score for a fixed condition; summing the variant-induced changes across conditions; computing the maximum of the absolute variant-induced changes across conditions. - link
A SYSTEM BASED ON DEEP LEARNING FOR ANALYZING DELAYED ENHANCEMENT MAGNETIC RESONANCE IMAGING TO IDENTIFY COVID 19 AND METHOD THEREOF - The present invention discloses a system based on deep learning for analyzing delayed enhancement magnetic resonance imaging to identify COVID 19 and method thereof. The method and system include, but not limited to, a processing unit adapted to process the data based on deep learning data modelling in the magnetic resonance imaging associated with the digital image scanning system for diagnosis COVID 19 with the spatial resolution that each frame is deposited is 256 * 256, and being creating that level and vertical resolution respectively are 256 pixels (pixel), the read/write address that the read/write address of each image element, which is controlled by processing unit and forms circuit and finishes; And the data that will be stored in memory are input to a real-time microcontroller, it is characterized in that: analyze and compare by the Multi-source Information Fusion analytical system by using the real-time microcontroller to deliver the D/A changer then, digital signal is become analogue signal output. - link