Charge transport properties of SARS-CoV-2 Delta variant (B.1.617.2).

The B.1.617.2 (Delta) variant of concern is causing a new wave of infections in many countries. In order to better understand the changes of the SARS-CoV-2 mutation at the genetic level, we selected six mutations in the S region of the Delta variant compared with the native SARS-CoV-2 and get the conductance information of these six short RNA oligonucleotides groups by construct RNA: DNA hybrids. The electronic characteristics are investigated by the combination of density functional theory and non-equilibrium Green's function formulation with decoherence. We found that conductance is very sensitive to small changes in virus sequence. Among the 6 mutations in the Delta S region, D950N shows the largest change in relative conductance, reaching a surprising 4104.75%. These results provide new insights into the Delta variant from the perspective of its electrical properties. This may be a new method to distinguish virus variation and possess great research prospects.

Influence factors analysis of COVID-19 Prevention behavior of chinese Citizens: a path analysis based on the hypothetical model.

BACKGROUND: Under the outbreak of Coronavirus disease 2019 (COVID-19), a structural equation model was established to determine the causality of important factors that affect Chinese citizens' COVID-19 prevention behavior. METHODS: The survey in Qingdao covered several communities in 10 districts and used the method of cluster random sampling. The research instrument used in this study is a self-compiled Chinese version of the questionnaire. Of the 1215 questionnaires, 1188 were included in our analysis. We use the rank sum test, which is a non-parametric test, to test the influence of citizens'basic sociodemographic variables on prevention behavior, and the rank correlation test to analyze the influencing factors of prevention behavior. IBM AMOS 24.0 was used for path analysis, including estimating regression coefficients and evaluating the statistical fits of the structural model, to further explore the causal relationships between variables. RESULTS: The result showed that the score in the prevention behavior of all citizens is a median of 5 and a quartile spacing of 0.31. The final structural equation model showed that the external support for fighting the epidemic, the demand level of health information, the cognition of (COVID-19) and the negative emotions after the outbreak had direct effects on the COVID-19 prevention behavior, and that negative emotions and information needs served as mediating variables. CONCLUSIONS: The study provided a basis for relevant departments to further adopt epidemic prevention and control strategies.

Experience and Discussion: Safeguards for People With Disabilities During the COVID-19 Pandemic in China.

The special vulnerability of people with disability (PWD) in the COIVD-19 pandemic has been confirmed by many studies, but data shows that the infection rate of PWD in China is lower than for non-disabled people. We believe that this difference can be attributed to the Chinese government's targeted safeguards for the disabled community during the pandemic, including support for disability empowerment, the establishment of a remote interactive decision-making system, fair vaccine distribution and economic protection for PWD. The professionalism of decision-makers and the maintenance of channels of interaction with PWD are also important. All of these changes have benefitted China's public health policy and legal framework. This system, which has six components (governance, prevention, response, knowledge, coordination, and people), enables the country to quickly formulate a series of safeguards for PWD that have a sufficient legal basis. We believe that China's rapidly improving public health policy and legal framework will make a hugely significant impact by alleviating the impact of the COVID-19 pandemic on the PWD community. Countries should pay more attention to discovering the special needs and obstacles of PWD in the COIVD-19 pandemic: in referring to China's experience, they should explore the protection framework for persons with disabilities and adjust it to their own needs on the basis of national conditions.

Novel coronavirus pneumonia detection and segmentation based on the deep-learning method.

BACKGROUND: Segmentation of coronavirus disease 2019 (COVID-19) lesions is a difficult task due to high uncertainty in the shape, size and location of the lesions. CT scan image is an important means of diagnosing COVID-19, but it requires doctors to observe a large number of scan images repeatedly to determine the patient's condition. Moreover, the low contrast of CT scan and the presence of tissues such as blood vessels in the background increase the difficulty of diagnosis. To solve this problem, we proposed an improved segmentation model called the residual attention U-shaped network (ResAU-Net). METHODS: A novel method to detect and segment coronavirus pneumonia was established based on the deep-learning algorithm. Firstly, the CT scan image was input, and lung segmentation was then realized by U-net. Then, the region of interest was selected by the minimum circumscribed rectangle clipping method. Finally, the proposed ResAU-Net, which includes attention module (AMB), residual module (RBM) and sub-pixel convolution module (SPCBM), was used to segment the infected area and generate the segmentation results. RESULTS: We evaluated our model using cross-validation on 100 chest CT scans test images. The experimental results showed that our method achieved start-of-the-art performance on the pneumonia dataset. The mIoU and Dice cofficients of Lesion segmentation were 73.40%±2.24% and 84.5%±2.46%, and realize fast real-time processing. CONCLUSIONS: Our model can effectively solve the problems of poor segmentation accuracy in the segmentation of COVID-19 lesions, and the segmentation result image can effectively assist medical staff in the diagnosis and quantitative analysis of infection degree, and improve the screening and diagnosis efficiency of pneumonia.

Harnessing peak transmission around symptom onset for non-pharmaceutical intervention and containment of the COVID-19 pandemic.

Within a short period of time, COVID-19 grew into a world-wide pandemic. Transmission by pre-symptomatic and asymptomatic viral carriers rendered intervention and containment of the disease extremely challenging. Based on reported infection case studies, we construct an epidemiological model that focuses on transmission around the symptom onset. The model is calibrated against incubation period and pairwise transmission statistics during the initial outbreaks of the pandemic outside Wuhan with minimal non-pharmaceutical interventions. Mathematical treatment of the model yields explicit expressions for the size of latent and pre-symptomatic subpopulations during the exponential growth phase, with the local epidemic growth rate as input. We then explore reduction of the basic reproduction number R0 through specific transmission control measures such as contact tracing, testing, social distancing, wearing masks and sheltering in place. When these measures are implemented in combination, their effects on R0 multiply. We also compare our model behaviour to the first wave of the COVID-19 spreading in various affected regions and highlight generic and less generic features of the pandemic development.

Guaranteeing the Health Rights of People with Disabilities in the COVID-19 Pandemic: Perspectives from China.

The question of how to guarantee the health rights of people with disabilities, and their health equity in particular, is frequently neglected in infectious disease pandemics. The international response to the ongoing COVID-19 pandemic is no exception in this regard. This neglect is related to other forms of marginalization and exclusion, as people with disabilities are generally poorer and more vulnerable than their non-disabled counterparts. Sustainable Development Goal 3 lacks an appropriate human rights language that enshrines equality and inclusivity in pandemic prevention work and related policies and legislation; and, as a result, it does not sufficiently guarantee the health rights of people with disabilities. This paper draws on China's pandemic prevention work to extract relevant lessons, and seeks to explain how decision-making systems and resource allocation mechanisms impact on the health rights of people with disabilities. It discusses the unique roles of justice and legislation in helping to guarantee the health rights of people with disabilities in an infectious disease pandemic, and concludes that future research should more closely consider how Sustainable Development Goal 16 can support Sustainable Development Goal 3.

Including people with disability in the COVID-19 outbreak emergency preparedness and response in China

With the outbreak of the COVID-19, China had to declare a public health emergency within a short time. In order to control and prevent further spread of the disease, China activated the highest emergency response level and has been implementing many draconian measures based on the Law on Prevention and Treatment of Infectious Diseases (LPTID). However, the LPTID lacks a disability perspective and overlooks the needs of people with disabilities during emergencies to a large extent. Combining the law and disability perspectives, this article analyzes different Articles of the LPTID and points out its inadequacies regarding the emergency preparedness and response plans in the midst of a major public health crisis. Besides, the experiences of some people with disabilities being affected are shared in the article. This article calls for nations to ensure amendments of their legal frameworks regarding public health and emergency preparedness fully engage a rights-based disability perspective.