The impact of mass gatherings on the local transmission of COVID-19 and the implications for social distancing policies: Evidence from Hong Kong.

Mass gatherings provide conditions for the transmission of infectious diseases and pose complex challenges to public health. Faced with the COVID-19 pandemic, governments and health experts called for suspension of gatherings in order to reduce social contact via which virus is transmitted. However, few studies have investigated the contribution of mass gatherings to COVID-19 transmission in local communities. In Hong Kong, the coincidence of the relaxation of group gathering restrictions with demonstrations against the National Security Law in mid-2020 raised concerns about the safety of mass gatherings under the pandemic. Therefore, this study examines the impacts of mass gatherings on the local transmission of COVID-19 and evaluates the importance of social distancing policies. With an aggregated dataset of epidemiological, city-level meteorological and socioeconomic data, a Synthetic Control Method (SCM) is used for constructing a 'synthetic Hong Kong' from over 200 Chinese cities. This counterfactual control unit is used to simulate COVID-19 infection patterns (i.e., the number of total cases and daily new cases) in the absence of mass gatherings. Comparing the hypothetical trends and the actual ones, our results indicate that the infection rate observed in Hong Kong is substantially higher than that in the counterfactual control unit (2.63% vs. 0.07%). As estimated, mass gatherings increased the number of new infections by 62 cases (or 87.58% of total new cases) over the 10-day period and by 737 cases (or 97.23%) over the 30-day period. These findings suggest the necessity of tightening social distancing policies, especially the prohibition on group gathering regulation (POGGR), to prevent and control COVID-19 outbreaks.

Looking into mobility in the Covid-19 'eye of the storm': Simulating virus spread and urban resilience in the Wuhan city region travel flow network.

Recent urban and regional studies have focused on identifying positive spillover effects from intensifying flows of people in city region networks. However, potential negative spillover effects have lacked attention. The article addresses this research gap focusing on the negative spillover effects represented by Covid-19 contagion in the Wuhan regional travel flow network, China. Drawing on central place theory and central flow theory, Covid-19 spatial spread simulation scenarios are explored using a combined micro-level epidemic compartment model and urban network approach. It is found that not only centrally positioned primate but secondary cities are highly risk exposed to contagion. In addition, these cities have enhanced transmission capacity in a balanced, well-connected travel flow network, whereas a centralised or locally clustered network would be more spread resilient. Both hierarchical position and horizontal flows are found relevant for explaining Covid-19 uneven spread and for informing mobility interventions for a potential future outbreak.

Knowledge domain and emerging trends in Takotsubo cardiomyopathy: a scientometric review based on CiteSpace analysis.

Takotsubo cardiomyopathy (TTC) is often acute with a high mortality rate and is subject to relapse. Meanwhile, its complex pathogenesis has attracted increasing attention. To learn more about TTC, CiteSpace V.5.7 R5W was used in this study to analyze the research status, hot spots, and trends in TTC before 2020. The keywords, co-citation references, as well as country and institution distribution were explored. A total of 2,349 papers were reviewed. The United States, Italy, and Germany were the main countries studying TTC and had good cooperation relationships. The Mayo Clinic topped the institution list, but the rate of inter-institutional cooperation was not high. Research hotspots include disease features, auxiliary diagnostic methods, epidemiology, and pathophysiological mechanisms, and the latest ones are complications related to prognosis, such as cardiovascular abnormalities caused by myocardial infarction and normal or non-obstructive coronary arteries (MINOCA), atrial fibrillation, stroke, cancer, and COVID-19. In conclusion, the research of TTC is in a hot development period. Our research will help clinicians and researchers to better understand TTC and its research status by providing a foundation for research objectives. In doing this, our research will help to provide better scientific management, diagnosis, and treatment for patients with TTC, which will in turn improve the prognosis of this condition.

Combinatorial optimization of mRNA structure, stability, and translation for RNA-based therapeutics.

Therapeutic mRNAs and vaccines are being developed for a broad range of human diseases, including COVID-19. However, their optimization is hindered by mRNA instability and inefficient protein expression. Here, we describe design principles that overcome these barriers. We develop an RNA sequencing-based platform called PERSIST-seq to systematically delineate in-cell mRNA stability, ribosome load, as well as in-solution stability of a library of diverse mRNAs. We find that, surprisingly, in-cell stability is a greater driver of protein output than high ribosome load. We further introduce a method called In-line-seq, applied to thousands of diverse RNAs, that reveals sequence and structure-based rules for mitigating hydrolytic degradation. Our findings show that highly structured "superfolder" mRNAs can be designed to improve both stability and expression with further enhancement through pseudouridine nucleoside modification. Together, our study demonstrates simultaneous improvement of mRNA stability and protein expression and provides a computational-experimental platform for the enhancement of mRNA medicines.

Medication Rule Analysis of the Diagnosis and Treatment Programs of Chinese Medicine for the Prevention and Treatment of COVID-19 in China.

OBJECTIVES: To summarize the measures and rules of Chinese medicine (CM) and provide reference for clinical application in the prevention and treatment of coronavirus disease (COVID-19). METHODS: The data source was from CM COVID-19 prevention and treatment programs on government websites and official media websites of the different provinces and cities. The search lasted from December 8, 2019 to March 10, 2020. Main variables were medication frequency and combinations of medicines. Cluster analysis and complex network analysis were used by prevention and treatment stage and by area. RESULTS: Among 27 CM diagnosis and treatment plans, 203 therapeutic prescriptions were enrolled, of which the top 4 herbs were: Radix glycyrrhizae, Semen armeniacae amarum, Herba ephedrae, and Herba agastachis, respectively. The core combinations were Herba ephedrae and Semen armeniacae amarum. Forty-eight preventive formulae were identified. Ten herbs, including Radix Astragali seu hedysari, Radix glycyrrhizae, Radix saposhnikoviae, Flos lonicerae, etc. were most frequently used. The core prescription of CM compatibility was Radix astragali seu hedysari, Radix glycyrrhizae, and Radix saposhnikoviae, which is the main component of Yu Ping Feng San. There were 45 prevention and treatment prescriptions in East China; the most used CM was Radix glycyrrhizae, Herba agastachis, Pericarpium citri reticulatae, and Gypsum fibrosum. Fifty prescriptions were identified in North China. According to CM analyses, Herba agastachis, Semen armeniacae amarum, Herba ephedrae, and Poria were most frequently used. CONCLUSIONS: CM for COVID-19 prevention mainly focuses on improving human immunity; for treatment, prescription focuses on clearing the lungs and removing dampness. Prescriptions vary with regions, perhaps due to climatic and environmental differences, which help clinicians to quickly make CM plans and treat patients according to clinical status, further minimizing resource wastage.

Cardiac Rehabilitation: A Bibliometric Review From 2001 to 2020.

Cardiovascular disease (CVD) is a serious threat to global public health due to its high prevalence and disability rate. Meanwhile, cardiac rehabilitation (CR) has attracted increasing attention for its positive effects on the cardiovascular system. There is overwhelming evidence that CR for patients with CVD is effective in reducing cardiovascular morbidity and mortality. To learn more about the development of CR, 5,567 papers about CR and related research were retrieved in the Web of Science Core Collection from 2001 to 2020. Then, these publications were scientometrically analyzed based on CiteSpace in terms of spatiotemporal distribution, author distribution, subject categories, topic distribution, and references. The results can be elaborated from three aspects. Firstly, the number of annual publications related to CR has increased year by year in general over the past two decades. Secondly, a co-occurrence analysis of the output countries and authors shows that a few developed countries such as the United States, Canada, and the UK are the most active in carrying out CR and where regional academic communities represented by Sherry Grace and Ross Arena were formed. Thirdly, an analysis of the subject categories and topic distribution of the papers reveals that CR is a typical interdiscipline with a wide range of disciplines involved, including clinical medicine, basic medicine, public health management, and sports science. The research topics cover the participants and implementers, components, and the objectives and requirements of CR. The current research hotspots are the three core modalities of CR, namely patient education, exercise training and mental support, as well as mobile health (mHealth) dependent on computer science. In conclusion, this work has provided some useful information for acquiring knowledge about CR, including identifying potential collaborators for researchers interested in CR, and discovering research trends and hot topics in CR, which can offer some guidance for more extensive and in-depth CR-related studies in the future.

Clinical characteristics and treatment outcome of COVID-19 patients with stroke in China: A multicenter retrospective study.

OBJECTIVE: Previous studies mainly reported the clinical characteristics of novel coronavirus 2019 (COVID-19) infections, but the research on clinical characteristics and treatment outcomes of COVID-19 patients with stroke is still rare. METHODS: A multi-center retrospective study was conducted at 11 hospitals in 4 provinces of China, and COVID-19 patients with stroke were enrolled from February 24 to May 4, 2020. We analyzed epidemiological, demographic, and clinical characteristics of cases as well as the laboratory test results, treatment regimens and outcomes, and the clinical characteristics and therapeutic outcomes were compared between severe and nonsevere patients, and by age group, respectively. RESULTS: A total of 27 patients [mean age: 66.41 (SD 12.1) years] were enrolled. Among them, 9 (33.3%) were severe patients and 18 (66.7%) were nonsevere patients; 17 (63.0%) were female; 19 (70.4%) were aged 60 years and above. The most common symptoms were fever [19 (70.4%)], fatigue [12 (44.4%)] and cough [11 (40.7%)], respectively. Abnormal laboratory findings of COVID-19 patients with stroke included high levels of C-reactive protein [19 (73.1%)], D-dimer [14 (58.3%)], blood glucose [14 (53.8%)], fibrinogen [13 (50.0%)], and decreased lymphocytes [12 (44.4%)]. Comparing to nonsevere cases with stroke, severe patients with stroke were likely to be older, susceptible to receiving oxygen inhalation, and had more complications (p < 0.05). In addition, there were significant differences in lymphocytes, neutrophils, lactate dehydrogenase, C-reactive protein, creatine kinase between the severe cases and nonsevere cases (p < 0.05). The older patients had a decreased platelet count and elevated fibrinogen, compared with the younger (p < 0.05). All patients (100%) received antiviral treatment, 12 (44.4%) received antibiotics treatment, 26 (96.3%) received Traditional Chinese Medicine (Lung cleansing & detoxifying decoction), and oxygen inhalation was in 18 (66.7%). The median duration of hospitalization was 16 days. By May 4, 2020, a total of 26 (96.3%) patients were cured and discharged, and 1 (3.7%) patients died. CONCLUSION: COVID-19 patients with stroke had poor indicators of coagulation system, and severe and older patients might have a higher risk of complications and unfavorable coagulation system. However, the overall treatment outcome is favorable.

Analysis of knowledge bases and research hotspots of coronavirus from the perspective of mapping knowledge domain.

BACKGROUND: Coronaviruses have drawn attention since the beginning of the 21st century. Over the past 17 years, coronaviruses have triggered several outbreaks of epidemic in people, which brought great threats to global public health security. We analyzed the publications on coronavirus with bibliometrics software and qualitatively and quantitatively evaluated the knowledge base and hot topics of coronavirus research from 2003 to 2020. METHODS: We explored the publications on coronavirus in the Web of Science core collection (WOSCC) from 2003 to 2020. Bibliometric analysis, evaluating knowledge base, and research hotspots were performed based on CiteSpace V (Drexel University, Chaomei Chen). RESULTS: There were a total of 8433 publications of coronavirus. The research on coronavirus boomed when a novel coronavirus triggered outbreaks in people. The leading country was the United States, and the leading institution was the University of Hong Kong. The most productive researchers were: Yuen KY, Drosten C, Baric RS. The keywords analysis showed that SARS-CoV, infection, acute respiratory syndrome, antibody, receptor, and spike protein were research hotspots. The research categories analysis showed that virology, microbiology, veterinary sciences, infectious diseases, and biochemistry and molecular biology were hot research categories. CONCLUSIONS: Bibliometric analysis of the literature shows the research on coronavirus boomed when a novel coronavirus triggered outbreaks in people. With the end of the epidemic, the research tended to be cooling. Virus identification, pathogenesis, and coronavirus-mediated diseases attracted much attention. We must continue studying the viruses after an outbreak ended.