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COVID-19 is spreading rapidly around the world. In order to diagnose it quickly and accurately and thus block the chain of epidemic transmission, the study proposed a deep learning-based classification network DLDA-A-DenseNet. Firstly, DenseNet-201 combined deep layer dense aggregation to aggregate feature information at different stages to enhance its ability to identify and localize lesions. Secondly, this paper proposed efficient multi-scale long-range attention to refine the aggregated features. Moreover, this paper used a balanced sampling training strategy to eliminate the bias for the class imbalance problem of CT image dataset. Testing on the China consortium of chest CT image investigation dataset, the method improved 2.24%,3.09%,2.09%,2.60% and 3.48% in accuracy, recall, precision, F1 score and Kappa coefficient compared with DenseNet-201,and achieved an optimal accuracy of 99.50% on COVID-CISet image dataset. The results show that the proposed COVID-19 CT image classification method can fully extract the lesion features of CT slices compared with other methods, and has higher classification accuracy and good generalizability. [ABSTRACT FROM AUTHOR]

The COVID-19 pandemic has caused significant losses and suffering around the world. Although the SARS-CoV-2 vaccine has largely controlled the spread of the virus, the scientific and sustainable treatment of COVID-19 patients is still necessary to truly end the pandemic. Small-molecule drugs against COVID-19 have attracted the attention of the scientific community and industry owing to their unique advantages such as a simple delivery method, relatively high output, and immune response with lower probability. Fortunately, in the last three years, some potentially effective drugs have been proposed, and have achieved good results in clinical trials. This paper briefly introduces the research progress on small-molecule drugs since 2020 to provide reference for future SARS-CoV-2 research. [ABSTRACT FROM AUTHOR]

This paper examines the notions, politics, and practice of care that have characterised the transnational Chinese state during the Covid-19 pandemic. Drawing on policy and media analyses, participant observation, and qualitative interviews with 21 Chinese people in the Netherlands, the paper maps out three care circuits: from the diaspora to China, from China to the diaspora, and from China to the world. The findings show how the pandemic has offered a stage for emotional ties, patriotism, and moral responsibility to be played out, cultivated, and contested. These in turn have an impact on the economic and political agendas of the transnational Chinese state. [ABSTRACT FROM AUTHOR]

In recent years, with the in-depth development of information technology, its role in people's production and life has become increasingly prominent, and it has played a significant role in improving work efficiency. At the beginning of the new year in 2020, the novel coronavirus pneumonia (COVID-19) outbreak broke out in Wuhan City, Hubei Province and spread rapidly across the country. The country attaches great importance to it, and the medical staff acted quickly and actively participated in this war against the virus without the smoke of gunpowder. After arduous efforts from all over the country, our country's COVID-19 epidemic prevention and control situation has been further consolidated, and the prevention and control work has changed from an emergency state to a normal state of prevention and control. Hospital informatization construction is an objective requirement for hospital modernization and the prevention and control of the COVID-19, and it is of great significance in the context of the normalization of the COVID-19 epidemic prevention and control. This paper elaborates on the four aspects of hospital information construction in the background of COVID-19, the existing problems in hospital information construction, the practice of hospital information construction and the exploration of hospital informatization construction, and is committed to exploring the overall thinking of hospital information construction in special period. [ABSTRACT FROM AUTHOR]

Epidemic diagnosis time can scientifically evaluate and comprehensively reflect the emergency level and physical therapy capacity of a national or local health department. Based on the diagnosis and treatment time records of more than 70 000 diagnosed or suspected cases of coronavirus disease 2019(COVID‐19) provided by the Chinese Center for Disease Control and Prevention (CDC), this paper uses regional statistics, spatial mapping, trend simulation, and significance testing to analyze the temporal and spatial distribu‐tion, spatial differentiation and dynamic process of the early diagnosis time of COVID‐19 in Chinese mainland. Results show that: (1) The average epidemic diagnosis time for COVID‐19 outbreak from early onset to diagnosis is 7.35 days. Among them, Hubei Province is 7.99 days, and the average diagnosis time in other provinces is 5.68 days. The average time from suspect to diagnosis is 3.86 days, 4.08 days in Hubei, and 2.91 days in other provinces. Although the epidemic diagnosis time in Hubei Province is slightly higher than the average, the difference in spatial differentiation is not particularly noticeable. The average dispersion of diagnosis time is only 0.58 days. (2) The dynamic process of COVID‐19 diagnosis time shows a significant decrease trend(Slope= − 0.78,P<0.01,two‐tailed), and the diagnosis time quickly drops to 1 day within 2 months of the early outbreak. This greatly improves the efficacy of epidemiological diagnosis. (3) Pearson correlation analysis between epidemic diagnosis time and healing period shows significantly related (P<0.01,two‐tailed). Early diagnosis and early treatment can reduce the time for patients to heal. All patients are treated in time to effectively improve the cure rate. The above research results indicate that: Chinese government has steadily promoted the overall prevention and control of the epidemic, and achieved remarkable results. Efficient diagnosis reduces the natural exposure time of the virus, reduces the time to cure and the probability of potential cross‐infection. It has laid a solid foundation for the prevention and control of the epidemic in China in a short period of time and the nationwide resumption of work and production. [ABSTRACT FROM AUTHOR]