Evaluation of an automated CRISPR-based diagnostic tool for rapid detection of COVID-19.

The performance of an automated commercial CRISPR/Cas based technology was evaluated and compared with routine RT-PCR testing to diagnose COVID-19. Suspected and discharged COVID-19 cases were included and tested with CRISPR-based SARS-CoV-2 test and RT-PCR assay using throat swab and sputum specimens. The diagnostic yield was calculated and compared using the McNemar test. A total of 437 patients were included for analysis, including COVID-19 (n = 171), discharged cases (n = 155), and others (n = 111). For the diagnosis of COVID-19, the CRISPR-SARS-CoV-2 test had a sensitivity and specificity of 98.2% (168/171) and 100.0% (266/266), respectively; the RT-PCR test had a sensitivity and specificity of 100.0% (171/171) and 100.0% (266/266), respectively. No significant difference was found in the sensitivity of CRISPR-SARS-CoV-2 and RT-PCR. In conclusion, the CRISPR-SARS-CoV-2 test had a comparable performance with RT-PCR and showed several advantages, such as short assay time, low cost, and no requirement for expensive equipment.

Correlation analysis of self-directed learning ability, self-efficacy and academic burnout of junior nursing college students in closed management colleges.

AIMS: To understand the status quo of self-directed learning ability, self-efficacy and academic burnout of junior nursing college students, since the closed management mode was implemented during COVID-19 pandemic disease. DESIGN: Cross-sectional study. METHODS: Participants came from 3,051 junior nursing college students of a college in Zhengzhou City, Henan Province, China. Data were collected by online questionnaire and analysed by SPSS25.0 (a statistical package for social science) and AMOS24.0 software. RESULTS: High self-directed learning ability and self-efficacy were related to low levels of academic burnout (p < .01). In addition, the analysis of mediation effect indicated that the influence of self-directed learning ability on academic burnout was not mediated by self-efficacy.

Effects of an mHealth Intervention for Pulmonary Tuberculosis Self-management Based on the Integrated Theory of Health Behavior Change: Randomized Controlled Trial.

BACKGROUND: Improving the health self-management level of patients with tuberculosis (TB) is significant for reducing drug resistance, improving the cure rate, and controlling the prevalence of TB. Mobile health (mHealth) interventions based on behavioral science theories may be promising to achieve this goal. OBJECTIVE: This study aims to explore and conduct an mHealth intervention based on the Integrated Theory of Health Behavior Change (ITHBC) in patients with pulmonary TB to increase their ability of self-care management. METHODS: A prospective randomized controlled study was conducted from May to November 2020. A total of 114 patients who were admitted consecutively to the TB clinic of Harbin Chest Hospital, China from May 2020 to August 2020 were recruited by convenience sampling. Patients were divided into the control group and intervention group, and all received a 3-month intervention. Patients in the intervention group and the control group received routine medical and nursing care in the TB clinic, including the supervision of their medications. In addition, pharmacist-assisted mHealth (WeChat) intervention based on the ITHBC theory about TB management was provided to the intervention group. The primary outcome was self-management behavior, while the secondary outcomes were TB awareness, self-efficacy, social support, and degree of satisfaction with health education. The outcomes were measured using web-based self-designed and standard questionnaires administered at baseline and at the end point of the study. Intergroup data were assessed using the Mann-Whitney U test, whereas intragroup data were assessed with the Wilcoxon test (for paired samples). RESULTS: A total of 112 patients (59 in intervention group and 53 in control group) completed the study. After the intervention, a statistically significant increase was noted in the scores of each item of self-care management behaviors compared with the scores at the baseline (P<.001) in the intervention group. The scores of all self-care management behaviors of the control group were lower than those of all self-care management behaviors in the intervention group (all P<.05), except for the item "cover your mouth and nose when coughing or sneezing" (P=.23) and item "wash hands properly" (P=.60), which had no statistically significant difference from those in the intervention group. Compared with those at baseline, TB knowledge awareness, self-efficacy, social support, and degree of satisfaction with health education in the intervention group increased significantly (P<.001), and the intervention group had significantly higher scores than the control group (P<.001). CONCLUSIONS: mHealth intervention for TB self-management based on ITHBC could deepen the understanding of patients with TB about their disease and improve their objective initiative and self-care management behaviors, which were beneficial for promoting compliance behavior and quality of prevention and control for pulmonary TB. TRIAL REGISTRATION: Chinese Clinical Trial Registry ChiCTR2200055557; https://tinyurl.com/4ray3xnw.

How Does COVID-19 Lockdown Impact Air Quality in India?

Air pollution is a severe environmental problem in the Indian subcontinent. Largely caused by the rapid growth of the population, industrialization, and urbanization, air pollution can adversely affect human health and environment. To mitigate such adverse impacts, the Indian government launched the National Clean Air Programme (NCAP) in January 2019. Meanwhile, the unexpected city-lockdown due to the COVID-19 pandemic in March 2020 in India greatly reduced human activities and thus anthropogenic emissions of gaseous and aerosol pollutants. The NCAP and the lockdown could provide an ideal field experiment for quantifying the extent to which various levels of human activity reduction impact air quality in the Indian subcontinent. Here, we study the improvement in air quality due to COVID-19 and the NCAP in the India subcontinent by employing multiple satellite products and surface observations. Satellite data shows significant reductions in nitrogen dioxide (NO2) by 17% and aerosol optical depth (AOD) by 20% during the 2020 lockdown with reference to the mean levels between 2005–2019. No persistent reduction in NO2 nor AOD is detectable during the NCAP period (2019). Surface observations show consistent reductions in PM2.5 and NO2 during the 2020 lockdown in seven cities across the Indian subcontinent, except Mumbai in Central India. The increase in relative humidity and the decrease in the planetary boundary layer also play an important role in influencing air quality during the 2020 lockdown. With the decrease in aerosols during the lockdown, net radiation fluxes show positive anomalies at the surface and negative anomalies at the top of the atmosphere over most parts of the Indian subcontinent. The results of this study could provide valuable information for policymakers in South Asia to adjust the scientific measures proposed in the NCAP for efficient air pollution mitigation.

A Comprehensive Review of Pharmacokinetics and Pharmacodynamics in Animals: Exploration of Interaction with Antibiotics of Shuang-Huang- Lian Preparations.

As a traditional Chinese medicine (TCM), Shuang-Huang-Lian (SHL) has been widely used for treating infectious diseases of the respiratory tract such as encephalitis, pneumonia, and asthma. During the past few decades, considerable research has focused on pharmacological action, pharmacokinetic interaction with antibiotics, and clinical applications of SHL. A huge and more recent body of pharmacokinetic studies support the combination of SHL and antibiotics have different effects such as antagonism and synergism. SHL has been one of the best-selling TCM products. However, there is no systematic review of SHL preparations, ranging from protection against respiratory tract infections to interaction with antibiotics. Since their important significance in clinical therapy, the pharmacodynamics, pharmacokinetics, and interactions with antibiotics of SHL were reviewed and discussed. In addition, this review attempts to explore the possible potential mechanism of SHL preparations in the prevention and treatment of COVID-19. We are concerned about the effects of SHL against viruses and bacteria, as well as its interactions with antibiotics in an attempt to provide a new strategy for expanding the clinical research and medication of SHL preparations.

A class of delay SIQR-V models considering quarantine and vaccination: Validation based on the COVID-19 perspective.

To contain the novel SARS-CoV-2 (COVID-19) spreading worldwide, governments generally adopt two measures: quarantining the infected people and vaccinating the susceptible people. To investigate the disease latency's influence on the transmission characteristics of the system, we establish a new SIQR-V (susceptible-infective-quarantined-recovered-vaccinated) dynamic model that focus on the effectiveness of quarantine and vaccination measures in the scale-free network. We use theoretical analysis and numerical simulation to explore the evolution trend of different nodes and factors influencing the system stability. The study shows that both the complexity of the network and latency delay can affect the evolution trend of the infected nodes in the system. Still, only latency delay can destroy the stability of the system. In addition, through the parameter sensitivity analysis of the basic reproduction number, we find that the effect of the vaccination parameter α on the basic reproduction number R 0 is more significant than that of transmission rate ß and quarantine parameter σ . It shows that vaccination is one of the most effective public policies to prevent infectious diseases' spread. Finally, we calculate the basic reproduction numbers that are greater than one for Germany and Pakistan under COVID-19 and validate the model's effectiveness based on the disease data of COVID-19 in Germany. The results show that the changing trend of the infected population in Germany based on the SIQR-V model is roughly the same as that reflected by the actual epidemic data in Germany. Therefore, providing suggestions and guidance for treating infectious diseases based on this model can effectively reduce the harm caused by the outbreak of contagious diseases.

Rapid SARS-CoV-2 antigen detection potentiates early diagnosis of COVID-19 disease.

As the COVID-19 epidemic is still ongoing, a more rapid detection of SARS-CoV-2 infection such as viral antigen-detection needs to be evaluated for early diagnosis of COVID-19 disease. Here, we report the dynamic changes of SARS-CoV-2 viral antigens in nasopharyngeal swabs of COVID-19 patients and its association with the viral nucleic acid clearance and clinical outcomes. Eighty-five COVID-19 patients were enrolled for detection of SARS-CoV-2 viral antigens, including 57 anti-SARS-CoV-2 antibody negative cases and 28 antibody positive cases. The viral antigen could be detected in 52.63% (30/57) patients with SARS-CoV-2 antibody negative at the early stage of SARS-CoV-2 infection, especially in the first 5 days after disease onset (p = 0.0018) and disappeared in about 8 days after disease onset. Viral antigens were highly detectable in patients with low Ct value (less than 30) of SARS-CoV-2 nucleic acid RT-PCT assay, suggesting the expression of viral antigen was associated with high viral load. Furthermore, positive antigen detection indicated disease progression, nine cases with positive antigen (9/30, 30.0%), in contrast to two cases (2/27, 7.40%) (p = 0.0444) with negative antigen, which progressed into severe disease. Thus, the viral antigens were persistent in early stages of infection when virus was in highly replicating status, and viral antigen detection promises to rapidly screen positive patients in the early stage of SARS-CoV-2 infection.

A new and rapid approach for detecting COVID-19 based on S1 protein fragments.

The pandemic of novel coronavirus disease 2019 (COVID-19) seriously threatened the public health all over the world. A colloidal gold immunochromatography assay for IgM/IgG antibodies against the receptor-binding domain of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) S1 protein was established to assess its rapid diagnostic value. We first designed and manufactured all contents of the test cassette of SARS-CoV-2 rapid test kit: the colloidal gold-labeled mouse-antihuman lgM/lgG antibody, the recombinant SARS-CoV-2 antigen, the nitrocellulose membrane control line, and specimen diluents. Furthermore, reverse transcription-polymerase chain reaction (RT-PCR) assay, colloidal gold immunochromatography assay, serological validation of cross reaction with other common viruses, and clinical validation were performed. The kit was finally evaluated by 75 serum/plasma samples of SARS-CoV-2 infection cases and 139 healthy samples as control, with the result of that the sensitivity, specificity, and accuracy for IgM were 90.67%, 97.84%, and 95.33%, whereas for IgG were 69.33%, 99.28%, and 88.79%, respectively; the combination of IgM and IgG could improve the value: 92.00%, 97.12%, and 95.33%, respectively. Therefore, the rapid detection kit has high sensitivity and specificity, especially for IgM&IgG, showing a critical value in clinical application and epidemic control of COVID-19.