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After the epidemic of COVID-19 has been basically under control interiorly, China is under the situation of regular epidemic prevention and control. Hence a reflection on the problems about the risk of gaming disorder in the epidemic period can be helpful to mental health professionals who prevent and control gaming disorder. The authors clarified the improper publicity of the gaming industry and false media report, and also reviewed the trend of game using was rapidly rising and game market was rapidly expanding. Consequently, as the author addressed, the health risks due to excessive gaming patterns were increasing. This review also pointed out and analyzed some new trend of the expansion of female game users during the epidemic, and the further in-depth integration of games and gambling. Finally, some advice was provided to the mental health workers to cope with the increasing risk of gaming disorder during a post-epidemic era.Copyright © Chinese Journal of Psychiatry 2021.
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In the post-COVID-19 era, many university students face financial distress due to macroeconomic downturns. Helping college students overcome financial difficulties is an important aspect of sustainable recovery. Based on the theory of student satisfaction and the perspective of new financial support systems, this study constructs a performance evaluation system for financial support for financially distressed students in colleges and universities. To comprehensively evaluate financially distressed students for financial support from the perspective of satisfaction, an empirical study is conducted by taking the authors' college as an example according to the fuzzy Analytic Hierarchy Process analysis and evaluation model. The results show that, according to the characteristics of students, the students' families' characteristics should be considered and carefully sorted, and on this basis, the appropriate selection criteria for financially distressed students are selected. © 2023, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
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Senior housing with age-friendly design and elderly care services contributes to the health and well-being of older people. Previous research has evidenced that the immediate environment factors of senior housing, such as the design of housing features and facilities, have a direct bearing on the satisfaction and quality of life of older people. However, external environment factors, such as political, economic, and social ones that affect key stakeholders' behaviors in senior housing development, are relatively under-researched. Accordingly, this study aimed to explore the external environmental factors influencing the development of senior housing. Taking Hong Kong as case study, this study first commenced with a systematic review to identify the factors in political, economic, and social domains from global evidence. Following this, we interviewed local experts from academia, industry, and government to solicit their opinions on the relative importance of these factors. We then determined the factor rankings using the analytical hierarchy process method. The results showed that local experts perceived economic factors as the most critical ones in influencing senior housing development in Hong Kong, including land costs, funding from financial institutions, and government incentives. If policymakers tend to promote senior housing in densely populated cities like Hong Kong, the policies should be attractive for housing developers, such as land premium concessions and innovative financial channels for supporting the long-term development of senior housing. © 2023 by the authors.
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The Russia-Ukraine conflict and the COVID-19 pandemic have made fossil energy more urgent, and the catalytic pyrolysis of biomass is conducive to energy transformation to achieve global sustainable development. In this paper, the influence mechanisms of different metal ions on biomass pyrolysis under conventional heating and microwave heating conditions were studied. Through thermogravimetric analysis, it was found that the existence of metal ions could change the pyrolysis behaviors of biomass, leading to different degrees of changes in the main pyrolysis temperature and range. Compared with conventional heating conditions, metal ion-loaded biomass samples exhibited higher heating rates under microwave heating conditions due to the possible hotspot phenomenon, resulting in increased gas yields and decreased bio-oil yields. Among them, the trivalent iron ion exhibited excellent catalytic properties for gas generation, with a high gas yield of 57.9% and a bio-oil yield of 12.1%. The components in bio-oil were greatly simplified by microwave irradiation, the number of the bio-oil compounds from the pyrolysis of Fe-loading pine sawdust was reduced to 77, and the GC-MS area of light compounds with carbon number less than 10 was increased to 84.4%. Phenol and furan in bio-oil are also catalytically converted into aromatic hydrocarbons, which are ideal chemical raw materials. © 2023 Elsevier Ltd
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The idea of mRNA therapy had been conceived for decades before it came into reality during the Covid-19 pandemic. The mRNA vaccine emerges as a powerful and general tool against new viral infections, largely due to its versatility and rapid development. In addition to prophylactic vaccines, mRNA technology also offers great promise for new applications as a versatile drug modality. However, realizing the conceptual potential faces considerable challenges, such as minimal immune stimulation, high and long-term expression, and efficient delivery to target cells and tissues. Here we review the applications of mRNA-based therapeutics, with emphasis on the innovative design and future challenges/solutions. In addition, we also discuss the next generation of mRNA therapy, including circular mRNA and self-amplifying RNAs. We aim to provide a conceptual overview and outlook on mRNA therapeutics beyond prophylactic vaccines. © 2023
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Background: Approximately 30% to 50% of breast cancer patients experienced mental distress prior to the advent of COVID.The delayed access to cancer treatment due to the outbreak of COVID -19 pandemic posed a unique challenge to breast cancer patients and caused a significant level of mental distress among them. In the current research, we examined the psychological impacts of COVID on breast cancer patients in China using Symptom Checklist-90-R (SCL-90-R). Method(s): Participants were breast cancer patients at the outpatient clinic of Xijing hospital. The study was conducted virtually, and the questionnaires were distributed via Wenjuanxing, the Chinese alternative of Qualtrics. The researchers were healthcare workers affiliated with Xijing hospital, and the survey was sent to a breast cancer patient support group which included 1399 cancer patients and 6 healthcare workers. The initial sample consisted of 199 participants who signed an informed consent form to participate in the study. The inclusion criteria were as follows: 1) diagnosed with breast cancer, 2) aged 18 years or above, and 3) had no history of cognitive impairment or previous diagnosis of psychiatric disorders. The validated Mandarin version of the SCL-90-R (Wang, 1984) was then given to the participants to evaluate their psychological status.Categorical variables were summarized as numbers and percentages;continuous variables were described as mean (M) +/- standard deviation (SD). Data were analyzed using IBM SPSS Statistics Version 26. Result(s): Participants (N = 195) filled out the SCL-90 questionnaire in February, 2020. All participants were female breast cancer patients treated at Xijing hospital, among which 16.41%, 36.41%, 19.49%, and 28.21% had respectively received treatment for less than a year, 1-3 years, 3-5 years, and 5 years or more. 64.62% of the patients were at stage I;0.77% were at stage II and III;4.62% were at stage IV according to TNM classification. The molecular type of participants is as follows: 47.2% of ER+ HER2-, 31.8% of HER2+, and 21.0% of Triple negative.Participants whose treatments continued to be delayed, on average, reported an elevated general psychopathology score (M = 1.48, SD = 0.47) compared to participants whose treatments were resumed (M = 1.30, SD = 0.34), and the difference was statistically significant, t(193) = 2.96, p = .003, d = 0.44, 95%Cl [0.06, 0.30]. The one-way ANOVA revealed a marginally significant effect of length of treatment delay on general psychopathology score, F(4, 190) = 2.09, p = .08, eta2 = .04. Follow-up multiple comparison analysis showed that participants who had their treatment delayed for 3 weeks to 1 month (M = 1.70, SD = 0.70) reported significantly higher general psychopathology scores than participants whose delay in treatment was less than 1 week (M = 1.34, SD = 0.40), p = .05. General health status (p < .001) and current treatment status (p = .02) are the only two variables that were statistically associated with general psychopathology score.Poorer perceived health status and current delay in treatment were associated with higher general psychopathology score, Additionally, younger age was associated with higher interpersonal sensitivity (p = .01) and hostility (p = .006). Conclusion(s): We found that breast cancer patients at an advanced stage were more likely to experience psychological symptoms with longer treatment delay, and whose treatments continued to be delayed reported elevated psychological symptoms than individuals whose treatment were resumed, regardless of treatment type. Additionally, a treatment delay of more than three weeks might have exacerbated breast cancer patients' psychological symptoms, whereas a short-term delay of less than three weeks was less likely to have a significant effect on one's mental wellbeing.
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Inevitably, consumers will be exposed to death-related information in their daily lives. For example, they are informed about deaths and injuries caused by accidents, terrorism and disasters on social media. They may also encounter the experiences of deceased friends and relatives or the news of unfortunate strangers. Especially in the context of the COVID-19 pandemic, consumers are more frequently exposed to death cues. Researches have shown that consumers' decision-makings and purchasing behaviors shift when dealing with death threats. Compared to material consumption, experiential consumption delivers greater and persistent well-being and it is emerging as an extremely important consumption pattern. It is unclear, however, whether these mortality cues will exert positive or negative effects on consumers' preference for experiential purchases. Based on the meaning maintenance model, 4 studies were conducted to examine how mortality salience influences consumers' preference for experiential purchases. In Study 1a and Study 1b, we experimentally manipulated mortality salience and examined its effect on consumers' preference for experiential purchases. Study 1a (N = 140) was a single factor (mortality salience) between-subjects design, participants were randomly assigned to different groups to imagine about incurable infectious disease or dental surgery. Participants in Study 1b (N = 252) were instructed to write about death or dental pain. Study 2 (N =219) was designed to test the mediating role of meaning in life. Participants were required to read a news report concerning traffic accident or dental surgery, and then finish the Meaning in Life Questionnaire. Study 3 (N = 166) was a 2 (mortality salience vs. control condition) × 2 (social support: high level vs. low level) between-subjects design. Participants were provided a news report pertaining to the global fatalities under the COVID-19 pandemic in mortality salience condition, and pertaining to global tourism during the pandemic period in the control condition. Social support was manipulated by writing in detail a difficult situation "in which your family or friends accompanied you", or "in which you had to face all by yourself". Additionally, we used a single-paper meta-analysis (SPM) to document a robust effect across all studies. The main results of this study are as follows: (1) Exposed to mortality salience will lead to stronger preference for experiential purchases. (2) The effects seem to be driven by meaning in life, whereby exposure to mortality salience undermines consumers' meaning in life, and consumers will gravitate towards experiential consumption to enhance their impaired meaning. (3) Social support moderates the effect of mortality salience on meaning in life. Only when consumers received low level of social support, will mortality salience reduce their meaning in life. (4) Social support moderates the mediating effect of meaning in life on mortality salience and preference for experiential purchases. Specifically, meaning in life mediates the effect of mortality salience on preference for experiential purchases only when consumers received low social support. To enhance the overall validity, we performed a single-paper meta-analysis (SPM) on the four studies. The SPM showed that consumers had greater preference of experiential purchase when exposed to mortality salience (Estimate β = 0.30, SE = 0.07, z = 4.178, p < 0.001), which strengthened the robustness of our general conclusion. This research yields practical implications by demonstrating that mortality salience exerts positive effect on consumers' preference for experiential purchases, which enables us to identify the changes in consumption patterns and mindset under the pandemic, providing references for marketing and promotion strategies. © Science Press.
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Traditional approaches to Artificial Intelligence (AI) based medical image classification requires huge amounts of data sets to be stored in a centralized server for analysis and training. In medical applications, data privacy and ownership may pose a challenge. In addition, costs incurred by data transfer and cloud server may pose a challenge to implementing a large dataset. This work studies the feasibility of a decentralized, browser-based Artificial Intelligence (AI) federated machine learning (FML) architecture. The proposed work studies the feasibility of bringing training and inference to the browser, hence removing the need to transfer raw data to a centralized server. If feasible, the system allows practitioners to compress and upload their pre-trained model to the server instead of raw data. This allows medical practitioners to update the model without the need to reveal their raw data. A sandbox system was implemented by applying transfer learning on MobileNet V3 and was tested with chest X-ray image datasets from COVID-19, viral pneumonia, and normal patients to simulate medical usage environment. The training speed, model performance and inference speed were tested on a PC browser and mobile phone with various levels of network throttling and image degradation. © 2022 IEEE.
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Working under a significant metabolic rate while wearing an N95 mask increased the heat stress that users of protective clothing experienced. This study investigated in a climatic chamber preset at 25 degrees C and a relative humidity of 65% the changes in thermoregulation and thermal perception of 13 men and 12 women when performing exercises involving different metabolic consumption for 60 min first without wearing an N95 mask for 30 min and then donning a mask. The physiological parameters include the metabolic rate, tympanic temperature, heart rate, skin temperature, skin moisture, and transepidermal water loss (TEWL). Thermal perceptions, including thermal sensation, humidity sensation, thermal comfort, and thermal acceptance were surveyed. The results show that both N95 mask use and exercising contributed to vigorous thermoregulation, particularly in women. The tympanic temperature was between 35.5 degrees C and 36.5 degrees C during the experiment for both sexes. Skin temperature during the exercise with or without donning a mask was not influenced by the change in workload, indicating a balance in heat exchange between the body and ambient air. Skin moisture increased by 58.91% and 49.99% when the users of masks performed exercises involving moderate and very high metabolic rates, respectively, compared to levels when a mask was not worn. The TEWL of women and men when wearing a mask and jogging increased by 16.35% and 14.89%, respectively, compared to when not wearing the mask. These results suggests a potential thermal stress from using N95 masks and working in a warm environment when the users are not acclimatized.
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The spread of COVID-19 has greatly threatened human health and economic growth. Angiotensin-converting enzyme 2 (ACE2) is a receptor for severe acute respiratory syndrome coronavirus 2 (SARS-COV-2). By attaching to ACE2, SARS-COV-2 reduces its expression and induces lung injury. Vitamin D can inhibit the progression of COVID-19 by inhibiting the activity of ROCK pathway, up-regulating ACE2 expression and bio-availability, and slowing down the adverse reactions caused by Ang II accumulation. This study explored a novel mechanism, i.e., vitamin D protects against COVID-19-induced injury by upregulating ACE2 expression. It provides theoretical guidance for the role of Vitamin D in the prevention and treatment of COVID-19. Copyright © 2022 Chinese Journal of Clinical Pharmacology and Therapeutics. All rights reserved.
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Objective: To trace and characterize the whole genome of SARS-CoV-2 of confirmed cases in the outbreak of COVID-19 on July 31, 2021 in Henan Province. Method: Genome-wide sequencing and comparative analysis were performed on positive nucleic acid samples of SARS-CoV-2 from 167 local cases related to the epidemic on July 31, 2021, to analyze the consistency and evolution of the whole genome sequence of virus. Results: Through high-throughput sequencing, a total of 106 cases of SARS-CoV-2 whole genome sequences were obtained. The results of genome analysis showed that the whole genome sequences of 106 cases belonged to the VOC/Delta variant strain (B.1.617.2 clade), and the whole genome sequences of 106 cases were shared with the genomes of 3 imported cases from Myanmar admitted to a hospital in Zhengzhou. On the basis of 45 nucleotide sites, 1-5 nucleotide variation sites were added, and the genome sequence was highly homologous. Conclusion: Combined with the comprehensive analysis of viral genomics, transmission path simulation experiments and epidemiology, it is determined that the local new epidemic in Henan Province is caused by imported cases in the nosocomial area, and the spillover has caused localized infection in the community. At the same time, it spills over to some provincial cities and results in localized clustered epidemics.
Subject(s)
COVID-19 , Epidemics , Humans , SARS-CoV-2/genetics , Genome, Viral , PhylogenyABSTRACT
In 2020, the COVID-19 global pandemic changed the landscape of healthcare delivery and with it the need to better address team member well-being. Aside from patients and their families, healthcare professionals were among the most affected and at high risk for suffering psychological distress, including increased stress, depression, anxiety, substance use, and post-traumatic stress disorder. Prior to COVID-19, healthcare workers were already experiencing a high rate of job burnout, depression, and suicide. The pandemic brought in sharp focus the essential and urgent need for healthcare facilities to acknowledge the importance of team member well-being and the provision of spaces such as tranquility rooms for use while at work. This case study shares one health system’s evidence-based implementation plan for tranquility rooms, what was learned, and how team members responded. More research is needed to better understand team member well-being and the impact of tranquility rooms. © The Author(s), 2022.
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Inevitably, consumers will be exposed to death-related information in their daily lives. For example, they are informed about deaths and injuries caused by accidents, terrorism and disasters on social media. They may also encounter the experiences of deceased friends and relatives or the news of unfortunate strangers. Especially in the context of the COVID-19 pandemic, consumers are more frequently exposed to death cues. Researches have shown that consumers' decision-makings and purchasing behaviors shift when dealing with death threats. Compared to material consumption, experiential consumption delivers greater and persistent well-being and it is emerging as an extremely important consumption pattern. It is unclear, however, whether these mortality cues will exert positive or negative effects on consumers’ preference for experiential purchases. Based on the meaning maintenance model, 4 studies were conducted to examine how mortality salience influences consumers' preference for experiential purchases. In Study 1a and Study 1b, we experimentally manipulated mortality salience and examined its effect on consumers’ preference for experiential purchases. Study 1a (N = 140) was a single factor (mortality salience) between-subjects design, participants were randomly assigned to different groups to imagine about incurable infectious disease or dental surgery. Participants in Study 1b (N = 252) were instructed to write about death or dental pain. Study 2 (N =219) was designed to test the mediating role of meaning in life. Participants were required to read a news report concerning traffic accident or dental surgery, and then finish the Meaning in Life Questionnaire. Study 3 (N = 166) was a 2 (mortality salience vs. control condition) × 2 (social support: high level vs. low level) between-subjects design. Participants were provided a news report pertaining to the global fatalities under the COVID-19 pandemic in mortality salience condition, and pertaining to global tourism during the pandemic period in the control condition. Social support was manipulated by writing in detail a difficult situation "in which your family or friends accompanied you", or "in which you had to face all by yourself". Additionally, we used a single-paper meta-analysis (SPM) to document a robust effect across all studies. The main results of this study are as follows: (1) Exposed to mortality salience will lead to stronger preference for experiential purchases. (2) The effects seem to be driven by meaning in life, whereby exposure to mortality salience undermines consumers' meaning in life, and consumers will gravitate towards experiential consumption to enhance their impaired meaning. (3) Social support moderates the effect of mortality salience on meaning in life. Only when consumers received low level of social support, will mortality salience reduce their meaning in life. (4) Social support moderates the mediating effect of meaning in life on mortality salience and preference for experiential purchases. Specifically, meaning in life mediates the effect of mortality salience on preference for experiential purchases only when consumers received low social support. To enhance the overall validity, we performed a single-paper meta-analysis (SPM) on the four studies. The SPM showed that consumers had greater preference of experiential purchase when exposed to mortality salience (Estimate β = 0.30, SE = 0.07, z = 4.178, p < 0.001), which strengthened the robustness of our general conclusion. This research yields practical implications by demonstrating that mortality salience exerts positive effect on consumers' preference for experiential purchases, which enables us to identify the changes in consumption patterns and mindset under the pandemic, providing references for marketing and promotion strategies. © Science Press.
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Objective To screen the potential quality markers (Q-Marker) of anti-coronavirus of Huoxiang Zhengqi Shui (, HZS) based on the ultra-performance liquid chromatography-quadrupole-time of flight-mass spectrometry (UPLC-Q-TOF-MS) fingerprints and molecular docking. Methods UPLC-Q-TOF-MS fingerprints and chemometric methods were employed to establish fingerprints and find out the difference between the peaks for the 27 batches of HZS samples. The SARS-CoV-2 main protease (Mpro) inhibition potential of the differential compounds among the 27 batches of HZS were further predicted by molecular docking with remdesivir as positive control. Results The UPLC-Q-TOF-MS fingerprints of 27 batches of HZS samples were set up with 27 common peaks. Combined with hierarchical clustering analysis (HCA) and principal component analysis (PCA), 14 common peaks were determined as differential compounds, and nine of them were identified as hesperidin, oxypeucedanin, neobyakangelicol, sinensetin, glycyrrhizic acid, 3,5,6,7,8,3',4'-heptamethoxyflavone, tangeretin, imperatorin and phellopterin. Molecular docking results showed that a total of six differential compounds were proven to have a certain inhibitory effect on SARS-CoV-2 Mpro, which can be used as potential Q-Marker of HZS, including hesperidin, oxypeucedanin, neobyakangelicol, glycyrrhizic acid, imperatorin and phellopterin. Conclusion The potential Q-Marker of HZS was determined by UPLC-Q-TOF-MS fingerprints, chemometric analysis and molecular docking. This method may provide a certain reference for the identification of various drug components, analysis of the differences of the same type drug components and pharmaceutical activity evaluation. Copyright © 2022 Editorial Office of Chinese Traditional and Herbal Drugs. All rights reserved.
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We consider the problem of controlling a mutated diffusion process with an unknown mutation time. The problem is formulated as the quickest intervention problem with the mutation modeled by a change-point, which is a generalization of the quickest change-point detection (QCD). Our goal is to intervene in the mutated process as soon as possible while maintaining a low intervention cost with optimally chosen intervention actions. This model and the proposed algorithms can be applied to pandemic prevention (such as Covid-19) or misinformation containment. We formulate the problem as a partially observed Markov decision process (POMDP) and convert it to an MDP through the belief state of the change-point. We first propose a grid-approximation approach to calculate the optimal intervention policy, whose computational complexity could be very high when the number of grids is large. In order to reduce the computational complexity, we further propose a low-complexity threshold-based policy through the analysis of the first-order approximation of the value functions in the "local intervention"regime. Simulation results show the low-complexity algorithm has a similar performance as the grid-approximation approach and both perform much better than the QCD-based algorithms. © 2022 ACM.
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Considering the transmission mechanism of COVID-19 and the isolation measures adopted, a SIR model with isolation measures and nonlinear infection rate was established, and the transmission trend of COVID-19 was obtained by simulation. The comparison of simulation results with COVID-19 data suggests that isolation measures have played a key role in controlling the outbreak. Different execution times of isolation measures were set in the model and multiple sets of simulation experiments were performed. The results showed that isolation measures should be implemented as soon as possible in order to control the epidemic as soon as possible. At the same time, in order to better control the development of the epidemic, the control in the later stages of the epidemic should not be reduced in strength. The research results can provide theoretical basis and guidance for the scientific prevention and control of COVID-19 and other large-scale infectious diseases in the future. © VDE VERLAG GMBH - Berlin - Offenbach.
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To investigate the effect of Fufang yinhua jiedu (FFYH) granules against coronavirus and its potential mechanism, we used Huh7, Huh7.5, H460, and C3A cell lines as in vitro models to evaluate the cytotoxicity and antiviral activity of FFYH by observation of cell pathogenic effect (CPE);and then the inhibitory effect of FFYH on the transcription expression of coronavirus RNA and inflammatory factor mRNA were evaluated by quantitive reverse transcription PCR (qRT-PCR);finally, the inhibitory effect of FFYH on the expression of coronavirus protein and its underlying mechanism against coronavirus were investigated by Western blot and immunofluorescence. Our results indicated that 50% toxic concentration (TC50) FFYH on Huh7, Huh7.5, H460, and C3A cells were 2 035.21, 5 245.69, 2 935.28 and 520 µg·mL-1, respectively;50% inhibitory concentration (IC50) of FFYH on HCoV-229E in Huh7 and Huh7.5 cells were 438.16 and 238.54 µg·mL-1 with safety index (SI) of 4.64 and 21.99, respectively;IC50 of FFYH on HCoV-OC43 in H460 cells was 165.13 µg·mL-1 with SI of 17.78. Moreover, FFYH not only could inhibit the replication of coronaviruses (HCoV-OC43 and HCoV-229E) through inhibiting the transcription of viral RNA and the expression of viral protein, but also effectively suppress the expression of inflammatory factors interleukin-6 (IL-6), tumor necrosis factor α (TNF-α) and interleukin-8 (IL-8) at mRNA level caused by coronaviruses, which might be associated with the inhibitory effect of FFYH on mitogen-activated protein kinase (MAPK) pathway and the nuclear translocation of nuclear transcription factor-κB (NF-κB). In summary, our results demonstrated that FFYH exhibited a good in vitro anti-coronavirus effect, which provides a theoretical basis for its clinical use in the treatment of anti-coronavirus pneumonia.
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Large-scale social media services have been challenged due to their lack of ethical principles, which has resulted in allegations of user manipulation such as propagation of fake news related to COVID-19 vaccination and biased algorithmic curations that lead to social polarization. We studied current social media community guidelines and conducted a systematic literature review to identify the core values needed for the establishment of guidelines for responsible social media services. Through expert interviews, a framework and guidelines are proposed for each of three areas: protecting privacy, raising awareness, and controlling abuse. We present each set of guidelines with executable principles and relevant design interventions that practitioners can use to offer responsible social media services. Our expert interviews surfaced tensions between the three areas that need to be addressed in developing responsible social media, such as privacy vs. sharing information, pseudonymity vs. safety, and spreading information vs. safety. © 2022 Taylor & Francis Group, LLC.
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Objective To analyze the genome characteristics and variations in nucleotides and amino acids of SARS-CoV-2 causing an outbreak in Henan Province in November 2021 and perform the traceability analysis.Methods In this study, throat swab specimens from cases in the acute phase were collected and tested for the nucleic acids of SARS-CoV-2 by real-time fluorescent RT-PCR.SARS-CoV-2 nucleic acid-positive samples were subjected to high-throughput genome sequencing and whole-genome alignment analysis.Results The median Ct values of ORF1ab gene and N gene in 70 positive specimens was 26.41 (15.58 to 39.27) and 24.43 (12.04 to 39.74), respectively.Compared with the sequence of Wuhan-Hu(NC_045512) reference strain, 47 to 49 nucleotide mutations sharing 47 nucleotide mutation and 41 amino acid mutations were found in 63 strains of successfully sequenced SARS-CoV-2.Nine nucleotide mutations and 12 amino acid mutations were found in the spike protein.The index case shared 47 mutations with the Russian imported cases in Henan Province on October 14 and the local cases in Jiangxi Province in October.Moreover, their genomes were highly homologous and they all belonged to the Delta variant (AY.122 evolutionary branch).Conclusions Continuous monitoring of imported COVID-19 cases and prolonging the period of quarantine were needed to reduce the risk of local outbreak and epidemic caused by imported COVID-19 cases.Analysis of the genomic characteristics of SARS-CoV-2 and the variations in nucleotides and amino acids was conducive to trace the origin of COVID-19 outbreak quickly and provide reference for precise control.