Effect of Yoga on the Stress, Anxiety, and Depression of COVID-19-Positive Patients: A Quasi-Randomized Controlled Study.

The spread of COVID-19 has resulted in reports of increase in stress, anxiety, and depression across society, especially in people who have tested positive for COVID-19, which affects their mental health and well-being. This article reports a quasi-randomized controlled study conducted in the COVID wards of a hospital to examine the efficacy of add-on yoga intervention in reducing stress, anxiety, and depression in COVID-affected patients under quarantine. The peripheral capillary oxygen saturation level and heart rate of the COVID-19-affected patients were also measured. A total of 62 COVID-19-positive patients participated in the study. The participants were randomized into a control group (n = 31), which received conventional medical treatment alone, and a yoga intervention group (n = 31), which received 50 minutes of yoga intervention along with the conventional medical treatment. Standardized Hospital Anxiety and Depression Scale, Generalized Anxiety Disorder-7 Item, Patient Health Questionnaire-9, and Perceived Stress Scale were administered at the beginning and end of the quarantine period. A significant decrease in stress, anxiety, and depression was observed in the patients who undertook the add-on yoga intervention. There was also a significant decrease in anxiety in the control group, but the intervention group had a larger decrease compared to the control group. Further significant improvements in oxygen saturation and heart rate levels were observed in the group of patients who were practicing yoga, but no significant improvement was observed in the control group. Findings of this study suggest that yoga intervention can be an effective add-on practice in reducing stress, anxiety, and depression levels of COVID-19 patients.

A study to assess knowledge attitude and practices towards COVID-19 among frontline workers of a North Indian district

Frontline workers have been fighting hard since the novel Coronavirus also known as COVID-19 was declared a global pandemic by the WHO on March 12th, 2020.  This study assessed the level of knowledge of frontline workers attitudes of frontline workers and how well the frontline workers of the area adapted to the ongoing epidemic. This study used a cross-sectional research design conducted among 440 frontline workers Palwal district in Haryana. Information regarding knowledge attitude practice and socio-demographic characteristics was obtained using semi-coded and pretested questionnaire. Data were analyzed using SPSS version 20. Independent t-test ANOVA Pearson’s rank correlation test and multivariate linear regression were used. A p-value of <0.05 was considered significant. The mean of knowledge attitude and practice scores were 79.67 (SD = 1.81) 27.4 (SD = 0.98) and 22.47 (SD = 1.4) respectively. 94.8% of frontline workers had excellent knowledge 68.6% had excellent attitude and 57.7% had reasonable practice with significant positive correlation between the three. Knowledge score varied significantly with occupation (p = 0.003). Regression analysis showed that attitude score varied significantly with age gender and occupation (p<0.05). Practice score varied significantly with age (p<0.05). The majority of the HCWs had had excellent knowledge and attitude but moderate practice towards COVID-19 with a significant positive correlation between them. Knowledge appeared to be significantly associated with profession;attitude with age gender occupation source of information;and practice with age alone. Healthcare workers (HCWs) were using less authentic sources for information which is an important aspect that needs immediate correction as ultimately it affects knowledge and can be reflected in attitude and practice. Keywords: COVID-19 knowledge attitude practice frontline workers 

Genomic characterization and epidemiology of an emerging SARS-CoV-2 variant in Delhi, India.

Delhi, the national capital of India, experienced multiple severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) outbreaks in 2020 and reached population seropositivity of >50% by 2021. During April 2021, the city became overwhelmed by COVID-19 cases and fatalities, as a new variant, B.1.617.2 (Delta), replaced B.1.1.7 (Alpha). A Bayesian model explains the growth advantage of Delta through a combination of increased transmissibility and reduced sensitivity to immune responses generated against earlier variants (median estimates: 1.5-fold greater transmissibility and 20% reduction in sensitivity). Seropositivity of an employee and family cohort increased from 42% to 87.5% between March and July 2021, with 27% reinfections, as judged by increased antibody concentration after a previous decline. The likely high transmissibility and partial evasion of immunity by the Delta variant contributed to an overwhelming surge in Delhi.

Integrated genomic view of SARS-CoV-2 in India.

Background: India first detected SARS-CoV-2, causal agent of COVID-19 in late January 2020, imported from Wuhan, China. From March 2020 onwards, the importation of cases from countries in the rest of the world followed by seeding of local transmission triggered further outbreaks in India. Methods: We used ARTIC protocol-based tiling amplicon sequencing of SARS-CoV-2 (n=104) from different states of India using a combination of MinION and MinIT sequencing from Oxford Nanopore Technology to understand how introduction and local transmission occurred. Results: The analyses revealed multiple introductions of SARS-CoV-2 genomes, including the A2a cluster from Europe and the USA, A3 cluster from Middle East and A4 cluster (haplotype redefined) from Southeast Asia (Indonesia, Thailand and Malaysia) and Central Asia (Kyrgyzstan). The local transmission and persistence of genomes A4, A2a and A3 was also observed in the studied locations. The most prevalent genomes with patterns of variance (confined in a cluster) remain unclassified, and are here proposed as A4-clade based on its divergence within the A cluster. Conclusions: The viral haplotypes may link their persistence to geo-climatic conditions and host response. Multipronged strategies including molecular surveillance based on real-time viral genomic data is of paramount importance for a timely management of the pandemic.

A rapid and sensitive method to detect SARS-CoV-2 virus using targeted-mass spectrometry.

In the last few months, there has been a global catastrophic outbreak of severe acute respiratory syndrome disease caused by the novel coronavirus SARS-CoV-2 affecting millions of people worldwide. Early diagnosis and isolation are key to contain the rapid spread of the virus. Towards this goal, we report a simple, sensitive and rapid method to detect the virus using a targeted mass spectrometric approach, which can directly detect the presence of virus from naso-oropharyngeal swabs. Using a multiple reaction monitoring we can detect the presence of two peptides specific to SARS-CoV-2 in a 2.3 min gradient run with 100% specificity and 90.5% sensitivity when compared to RT-PCR. Importantly, we further show that these peptides could be detected even in the patients who have recovered from the symptoms and have tested negative for the virus by RT-PCR highlighting the sensitivity of the technique. This method has the translational potential of in terms of the rapid diagnostics of symptomatic and asymptomatic COVID-19 and can augment current methods available for diagnosis of SARS-CoV-2.