Introduction of graphene oxide-supported multilayer-quantum dots nanofilm into multiplex lateral flow immunoassay: A rapid and ultrasensitive point-of-care testing technique for multiple respiratory viruses

A lateral flow immunoassay (LFA) biosensor that allows the sensitive and accurate identification of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and other common respiratory viruses remains highly desired in the face of the coronavirus disease 2019 pandemic. Here, we propose a multiplex LFA method for the on-site, rapid, and highly sensitive screening of multiple respiratory viruses, using a multilayered film-like fluorescent tag as the performance enhancement and signal amplification tool. This film-like three-dimensional (3D) tag was prepared through the layer-by-layer assembly of highly photostable CdSe@ZnS−COOH quantum dots (QDs) onto the surfaces of monolayer graphene oxide nanosheets, which can provide larger reaction interfaces and specific active surface areas, higher QD loads, and better luminescence and dispersibility than traditional spherical fluorescent microspheres for LFA applications. The constructed fluorescent LFA biosensor can simultaneously and sensitively quantify SARS-CoV-2, influenza A virus, and human adenovirus with low detection limits (8 pg/mL, 488 copies/mL, and 471 copies/mL), short assay time (15 min), good reproducibility, and high accuracy. Moreover, our proposed assay has great potential for the early diagnosis of respiratory virus infections given its robustness when validated in real saliva samples. Electronic Supplementary Material Supplementary material (Section S1 Experimental section, Section S2 Calculation of the maximum number of QDs on the GO@TQD nanofilm, Section S3 Optimization of the LFA method, and Figs. S1–S17 mentioned in the main text) is available in the online version of this article at 10.1007/s12274-022-5043-6.

Analysing the dynamic co-movement between tourism and expected economic growth considering extreme events

In the post epidemic period, it is important to clarify the relationship between economic growth and tourism growth. The aim of this study is to characterize the co-movement between expected macroeconomic conditions and inbound tourism, focussing on the nonlinear relationship between these variables. Dynamic copula-based GJR-GARCH models are employed to measure nonlinear dependence. Total inbound tourism to Thailand and its disaggregation for its 10 main origin countries, are considered in the empirical study. The results show that there exists significant co-movement between expected economic growth and inbound tourism, and prove the importance of considering nonlinearities and extreme events. Also, copula nonlinear Granger causality is used to conclude that inbound tourism and expected economic growth have nonlinear bi-directional and unidirectional Granger causality relationship. Finally, this paper puts forward some policy suggestions to restore tourism and boost economic growth in the post epidemic period.

Formation mechanism of popular courses on MOOC platforms: A configurational approach

Popular courses are representative of high-quality courses on MOOC (Massive Open Online Course) platforms. However, current research on the formation mechanism of popular courses is rare. Thus, a fuzzy-set qualitative comparative analysis (fsQCA) is adopted to explore configurations of MOOC quality elements for popular courses on MOOC platforms. This study selects courses on the Coursera platform as the research object. Unique datasets of 272 observations and 261 observations before and after the outbreak of pandemic, respectively, are used to investigate for a better understanding of the role of quality elements in forming popular courses. Three key findings are revealed. First, the configurations for MOOC popular courses differ from those of nonpopular courses, suggesting an asymmetric view of causality that underpins MOOC quality. Second, parsimonious configurations emergent from complex interactions among eight MOOC quality elements which are selected from three aspects of MOOC course arrangement, MOOC teaching faculty arrangement, and MOOC learner reviews, suggesting causality of equifinality that produces a popular course both before and after the outbreak of pandemic. Notably, the role of the professional title of MOOCs teachers becomes more important for forming popular courses after COVID-19. Third, although the number of MOOC teachers appears as a peripheral element along with the number of long reviews as a core element in all configurations for popular courses, they need the presence of other quality elements to form popular courses, suggesting a conjunction between quality elements. All findings provide implications not only for MOOC providers to regard popular courses as a result of configurations of MOOCs quality elements, but also for further research on fsQCA in course quality on MOOC platforms.

The role of different transportation modes in China's national economy: An input–output analysis

This study aims to analyse the role of different transportation modes in China's national economy and provide a reference for transportation policy. To this end, we use input–output analysis to evaluate the inter-industry linkage effect, production-inducing effect, supply shortage effect, and employment-inducing effect of five transportation modes (rail, road, water, air, and pipeline) in China from 2007 to 2020. The contributions of these different transportation modes to China's economy and their evolution are quantitatively investigated. The results reveal that the forward linkage effect of road transportation in China is the highest and shows an upward trend. The backward linkage effect of air transportation is the highest but shows a declining trend while the supply shortage effect of pipeline transportation is the highest. COVID-19 had a significant effect on transportation in 2020, with only rail and water maintaining growth in their production-inducing and supply shortage effects on the economy. Meanwhile, road, air, and pipeline transportation all showed varying degrees of decline in their contributions to the economy in 2020. Regarding employment, the employment-inducing effect multipliers of the five transportation modes are all gradually decreasing, showing that the transportation industry is shifting from a labour-intensive orientation toward a technology-intensive one. These results have significance for understanding the economic contribution and evolution of China's transportation industries. They can provide a reference for related policy formulation and for improving transportation management.

Cross-sectional investigation and correlation analysis of psychology of college students returning to campus after COVID-19 lockdown lift

Objective To conduct a large cross-sectional survey of the mental health of college students during the recovery period of the COVID-19 epidemic. Methods Symptom Checklist 90 (SCL-90) and COVID-19 questionnaire were used to investigate the overall mental health level and cognition of epidemic situation of college students in seven colleges and universities in Shaanxi Province. Results (1) In the recovery period of COVID-19 epidemic, college students still had psychological and somatic symptoms such as obsessive-compulsive disorder, interpersonal sensitivity, anxiety, hostility, and poor appetite or insomnia;(2) female college students, science and engineering college students, freshmen and senior graduates, and some ethnic minority college students were all groups with psychological symptoms;(3) the psychological status of college students was related to their perception of COVID-19 epidemic, and the more knowledge about epidemic prevention and control, the more confident they were in overcoming the epidemic, and the milder the psychological symptoms. Conclusion College students still have some mental health problems in the recovery period of COVID-19 epidemic, which should be paid attention to by education authorities and colleges and universities.

Research on the Impact of Marketing Strategy on Consumers’ Impulsive Purchase Behavior in Livestreaming E-commerce

Livestreaming e-commerce has emerged as a highly profitable e-commerce that has revolutionized the retail industry, especially during the COVID-19 pandemic. However, research on livestreaming e-commerce is still in its infancy. This study sheds new light on impulsive purchase behavior in livestreaming e-commerce. Based on stimulus-organism-response (SOR) theory, this study introduces the “People-Product-Place” marketing strategy for livestreaming e-commerce from the perspective of consumer perception and aims to understand the impact of marketing strategy on impulsive purchase behavior in e-commerce livestreaming shopping scenes, and to examine the mediating effect of involvement. The study conducted SEM analysis, in Amos, on 437 response sets from an online anonymous survey. The results show that perceived e-commerce anchor attributes, perceived scarcity, and immersion positively influence impulsive purchase behavior;that “People-Product-Place” marketing strategy is important;and that effective marketing triggers impulsive purchase. Perceived e-commerce anchor attributes, perceived scarcity, and immersion positively influence involvement, which positively influences impulsive purchase. Involvement mediates between perceived e-commerce anchor attributes, perceived scarcity and immersion, and impulsive purchase. These findings guide marketers to improve the profitability of livestreaming e-commerce and provide some references of economic recovery for many other countries that also suffered from the impact of the COVID-19 pandemic.

How to improve the problem of hotel manpower shortage in the COVID-19 epidemic environment? Exploring the effectiveness of the hotel practice training system.

This study aimed to examine the role of effective employee training in the sustainable growth and corporate social responsibility of hotels during the postpandemic period. An initial respondent pool was selected using purposive sampling, and 280 questionnaires were finally obtained by snowball sampling from September 2019 to February 2020. The sample was analyzed using basic statistical tests, the Pearson correlation coefficient, and multivariate regression. We then interpreted the sample data through consultation with scholars and practitioners in hotel management. Finally, the data were analyzed using multivariate verification. The results indicated that China Binhai Hotel could not foster consistent employee enthusiasm and fulfill its corporate social responsibilities during the postpandemic period due to deficiencies in its human resources training, employee benefit, job rotation, and incentive systems. We suggest for hotels to promote corporate culture, improve the system of promotion, increase employee benefits, and adjust the workplace environment and equipment provided to employees. These will improve employee attitudes toward hotel management, improve work efficiency, increase retention, and solve the problem of personnel shortage during the postpandemic period.

Asymptomatic SARS-CoV-2 infection by age: A systematic review and meta-analysis (preprint)

Abstract: Objectives: This systematic review and meta-analysis aimed to estimate the age-specific proportion of asymptomatic SARS-CoV-2 infected persons by year of age. Methods: We searched PubMed, Embase, medRxiv and Google Scholar on 10 September 2020 and 1 March 2021. We included studies conducted during January to October 2020, prior to routine vaccination against COVID-19. Since we expected the relationship between the asymptomatic proportion and age to be non-linear, multilevel mixed-effects logistic regression (QR decomposition) with a restricted cubic spline was used to model asymptomatic proportions as a function of age. Results: A total of 38 studies were included in the meta-analysis. In total, 6556 out of 14850 cases were reported as asymptomatic. The overall estimate of the proportion of people who became infected with SARS-CoV-2 and remained asymptomatic throughout infection was 44.1% (6556/14850, 95%CI 43.3%-45.0%). The asymptomatic proportion peaked in adolescents (36.2%, 95%CI 26.0%-46.5%) at 13.5 years, gradually decreased by age and was lowest at 90.5 years of age (8.1%, 95%CI 3.4%-12.7%). Conclusions: Given the high rates of asymptomatic carriage in adolescents and young adults and their active role in virus transmission in the community, heightened vigilance and public health strategies are needed among these individuals to prevent disease transmission.

The TCM Preparation Feilike Mixture for the Treatment of Pneumonia: Network Analysis, Pharmacological Assessment and Silico Simulation

The Feilike mixture (FLKM) is a valid prescription that is frequently used to assist in the clinical treatment of pneumonia. However, the mechanisms of its effects remain unclear. First, through literature evaluation, it was preliminarily determined that FLKM improved clinical symptoms, regulated immune inflammation response and ameliorated pulmonary function. Then, via database search and literature mining, 759 targets of the 104 active compounds of FLKM were identified. The component-target (CT) network showed that the key active compositions were resveratrol, stigmasterol, beta-sitosterol, sesamin, and quercetin. 115 targets overlapped with pneumonia-related targets. The protein-protein interaction (PPI) network identified TNF, AKT1, IL6, JUN, VEGFA and MAPK3 as hub targets. KEGG analyses found that they were mainly enriched in immune related pathway. Next, in vivo experiment, we observed that FLKM ameliorated pathological injury of lung tissue and reduced neutrophil infiltration in rats with LPS-induced pneumonia. And FLKM decreased the concentration of TNF-α and IL-6 in BALF and downregulated the expression of p38MAPK, AKT and VEGFA in lung tissue. Finally, Molecular docking tests showed tight docking of these predicted targeted proteins with key active compounds. Molecular dynamics simulation was employed to assess stability and flexibility of receptor-ligand. Among them, AKT1- stigmasterol bound more stably, and their binding free energies were −47.91 ± 1.62 kcal/mol. This study revealed core compositions and targets for FLKM treating pneumonia and provided integrated pharmacological evidence to support its clinical efficacy.

Patterns of human social contact and mask wearing in representative high-risk groups in China (preprint)

Background: The pandemic of COVID-19 has changed human behavior in areas such as contact patterns and mask-wearing frequency. Exploring human-human contact patterns and mask-wearing habits in high-risk groups is an essential step in fully understanding the transmission of respiratory infection-based diseases. Methods: Delivery workers, medical workers, preschoolers, and students. from Qinghai, Shanghai, and Zhejiang were recruited to complete an online questionnaire that queried general information, logged contacts, and assessed the willingness to wear a mask in different settings. The numbers of contacts across different characteristics were assessed and age-specific contact matrices were established. A generalized additive mixed model was used to analyze the associations between the number of individual contacts and several characteristics. The factors influencing the frequency of mask wearing were evaluated with a logistic regression model.Results: A total of 611,287 contacts were reported by 15,635 participants. The frequency of daily individual contacts averaged 3.14 (95%CI: 3.13-3.15) people per day, while that of group contacts was 37.90 (95%CI: 37.20-38.70). Skin-to-skin contact and long-duration contact were more likely to occur at home or among family members. The contact matrices of students were the most assortative (all contacts q-index = 0.899, 95%CI: 0.894-0.904). Participants with larger household sizes reported having more contacts. A higher household income per capita was significantly associated with a greater number of contacts among preschoolers and students. In each of the public places, the frequency of mask wearing was highest in delivery workers. For preschoolers and students with more contacts, the proportion of those who reported always wearing masks was lower (P<0.05) in schools/workplaces and public transportation than preschoolers and students with less contacts.Conclusions: The rate of mask wearing must be improved among preschoolers and students, considering their susceptibility and lower mask-wearing rates. Contact screening efforts should be concentrated in the home, school, and workplace after an outbreak of an epidemic, as more than 75% of all contacts, on average, will be found in such places. Age-stratified and occupation-specific social contact research in high-risk groups could help inform policy-making decisions during the post-relaxation period of the COVID-19 pandemic.

Vaccination as an Alternative to Non-Drug Interventions to Prevent Local Resurgence of COVID-19 (preprint)

Background: While a COVID-19 vaccine protects people from serious illness and death, it remains concern when and how to relax from the high cost strict non-pharmaceutical interventions (NPIs). Methods We developed a stochastic calculus model to identify the level of vaccine coverage that would allow safe relaxation of NPIs, and the vaccination strategies that can best achieve this level of coverage. We applied Monto Carlo simulations more than 10,000 times to remove random fluctuation effects and obtain fitted/predicted epidemic curve based on various parameters with 95% confidence interval (95% CI) at each time point. Results We found that a vaccination coverage of 50.42% was needed for the safe relaxation of NPIs, if the vaccine effectiveness was 79.34%. However, with the increasing of variants transmissibility and the decline of vaccine effectiveness for variants, the threshold for lifting NPIs would be higher. We estimated that more than 8 months were needed to achieve the vaccine coverage threshold in the combination of accelerated vaccination strategy and key groups firstly strategy. Conclusion If there are sufficient doses of vaccine then an accelerated vaccination strategy should be used, and if vaccine supply is insufficient then high-risk groups should be targeted for vaccination first. Sensitivity analyses results shown that the higher the transmission rate of the virus and the lower annual vaccine supply, the more difficult the epidemic could be under control. In conclusion, as vaccine coverage improves, the NPIs can be gradually relaxed. Until that threshold is reached, however, strict NPIs are still needed to contain the epidemic. The more transmissible SARS-CoV-2 variant lead to higher resurgence probability, which indicates the importance of accelerated vaccination and achieving the vaccine coverage earlier. Trial registration We did not involve clinical trial.

Mitigating the impacts of COVID-19 on domestic rice supply and food security in Southeast Asia

Food and medication security is an unseen battle occurring during the outbreak of the Covid-19 pandemic. Sustainable rice supplies are crucial during a pandemic period, especially in Southeast Asian countries (SEA countries). This study analyzes the vulnerability level of SEA countries regarding rice supply, with alternative import strategies recommended. By employing RCA, CAaA, and XCA indexes, the comparative advantage and competitiveness of rice-exporting countries are analyzed. The study shows that Malaysia and Singapore are highly vulnerable regarding rice crisis, while Indonesia, Philippines, and Brunei are moderately vulnerable. Thailand and Vietnam supply 76.74% of SEA countries? rice imports. SEA importers should consider alternative import strategies in order to reduce their high-risk dependency on the supply of rice from Thailand and Vietnam. XCA analysis results show that India, Thailand, Pakistan, Vietnam, China, and the USA are more competitive and have better comparative advantages as compared to other rice exporters with a high supply volume or lower prices. The alternative rice-exporting suppliers that could be considered by SEA countries are Paraguay, Uruguay, Brazil, and Argentina. Additionally, this paper introduces the XCA index and CAaA index to complement the bias of the RCA index.

An AI-assisted Economic Model of Endogenous Mobility and Infectious Diseases: The Case of COVID-19 in the United States (preprint)

We build a deep-learning-based SEIR-AIM model integrating the classical Susceptible-Exposed-Infectious-Removed epidemiology model with forecast modules of infection, community mobility, and unemployment. Through linking Google's multi-dimensional mobility index to economic activities, public health status, and mitigation policies, our AI-assisted model captures the populace's endogenous response to economic incentives and health risks. In addition to being an effective predictive tool, our analyses reveal that the long-term effective reproduction number of COVID-19 equilibrates around one before mass vaccination using data from the United States. We identify a "policy frontier" and identify reopening schools and workplaces to be the most effective. We also quantify protestors' employment-value-equivalence of the Black Lives Matter movement and find that its public health impact to be negligible.

Effect of urea dissociation on reducing the number of false-positive results of IgM and IgG antibodies against SARS-CoV -2

We wished to explore the interference factors causing false-positive results for immunoglobulin M (IgM) and IgG antibodies in severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) detected by the gold immunochromatography assaym (GICA). In this way, we wanted to improve the detection method and scheme of laboratory detection. Seventy-four serum samples from outpatients and inpatients from the Affiliated Hospital of North Sichuan Medical College and Nanchong Central Hospital in China from 2 January 2020 to 5 March 2020 were collected 19 patients with the nucleic acids of SARS-CoV-2;10 cases with IgM antibodies against other respiratory viruses;10 patients with IgM antibodies against hepatitis viruses;20 patients with IgM antibodies against rheumatoid factor (RF);15 patients with antinuclear antibody (ANA). Colloidal GICA (kit A and kit B) was used to detect IgM and IgG antibodies against SARS-CoV-2 in patient sera. Positive results of SARS-CoV-2 IgM or SARS-CoV -2 IgG antibodies were analyzed, and possible factors causing false-positive results were found. Then, the sera of SARS- CoV - 2 IgM/IgG positive and 3 early coronavirus disease 2019 (COVID-19) patients were dissociated with an appropriate concentration of urea, and levels of IgM and IgG antibodies against SARS-CoV-2 were redetermined. SPSS v19.0 was used to analyze data. In the sera of 19 patients with SARS-CoV-2 infection 15 of SARS -CoV-2 IgM antibodies and 18 cases SARS-CoV-2 IgG antibodies were detected in kit A;12 cases of SARS-CoV-2 IgM antibodies and 12 cases of SARS-CoV-2 IgG antibodies were detected in kit B;16 cases of SARS-CoV-2 IgM antibodies and 14 cases of SARS-CoV -2 IgG antibodies were detected in 20 patients who had IgM antibodies against RF. In the sera of 15 patients with high - titer ANA, SARS-CoV- 2 IgG antibodies were detected in four cases using kit B. When the urea dissociation concentration was 2 mol/L, 14 of 16 RF- IgM - positive sera detected using kit A turned negative, 13 of 14 SARS- CoV- 2 IgG antibodies turned negative, but patients with COVID-19 detected by kit A did not show negative conversion of IgM or IgG antibodies. When the urea dissociation concentration was 4 mol/L, ANA -positive serum detected by kit B turned negative in four cases, whereas SARS-CoV-2 IgM and IgG antibodies in patients with COVID-19 did not turn negative. After urea dissociation, the SARS-CoV- 2 IgM antibodies detected by kit A and kit B in the sera of three patients with early COVID- 19 did not turn negative. RF could cause false-positive results for SARS-CoV-2 IgM and IgG antibodies detected by kit A, and a high titer of ANA could cause false-positive results of SARS-CoV-2 IgG antibodies detected by kit B. Urea dissociation could be helpful for reducing the probability of false-positive results of SARS-CoV-2 IgM and IgG antibodies. The effect of urea dissociation on the detection sensitivity of early COVID-19 merits further study.

How to Improve the Manpower Shortage of Coastal Hotels Under the COVID-19 Epidemic Environment! Explore the Effectiveness of the Hotel Internship Training System (preprint)

This study aimed to investigate the key factors of sustainability of hotel social responsibility from the effectiveness of the hotel intern training system. Using a mixed research method, a sample was first selected by purposive sampling, and 280 questionnaires were obtained by snowballing from September 2019 to February 2020. Using Statistical package for social sciences (SPSS, AMOS) IBM 22.0 software, the reliability of the questionnaires was confirmed by the CFA method, examined by Pearson Correlation Analysis, and then the opinions of hoteliers, experts, and senior employees on the questionnaire results were obtained by interview method and finally, the data were compiled and analyzed by multivariate verification. The study found that: Chinese hoteliers are unable to stabilize their employees' motivation and fulfill their internal social responsibility due to insufficient human resource training system, welfare benefits, job rotation mechanism, and poorly defined reward and punishment system. In order to stabilize the implementation of perfect internal corporate responsibilities for entrepreneurs, it is necessary to strengthen corporate culture promotion, improve the existing promotion system, increase employee benefits, and adjust the working environment and facilities. In this way, even in a harsh working environment, it can still increase employees' recognition of the company, improve work performance, and increase employees' willingness to stay.

Factors that impact acceptance of COVID-19 vaccination in different community-dwelling populations in China (preprint)

Background: It is important to improve vaccination strategies and immunization programs to achieve herd immunity to infectious diseases, particularly in general community-dwelling populations. Methods To assess the acceptance of COVID-19 vaccination, we conducted face-to-face surveys and online surveys in Shanghai, Zhejiang, and Qinghai province. A fixed effects model and a random effects model were used to analyze factors associated with acceptance of COVID-19 vaccination. Findings The results indicated that 82·6% of participants (77·0% in Shanghai and 87·3% in Zhejiang) were willing to receive vaccination when it was available in the community, and 57·2% of deliverymen, 43·3% of medical workers, 78·2% of parents of primary and secondary school children, and 72·2% of parents of preschool children were willing to receive vaccination. The models showed that participants who were male, 60 to 69 years-old, from rural areas, had less education, had good health status, and had positive attitudes and trust in vaccines approved by National Health Commission were more likely to accept vaccination. Participants also had increased vaccination acceptance if it was recommended by government sources, doctors, relatives, or friends. Most participants learned about COVID-19 vaccination from television, radio, and newspapers, followed by community or hospital campaigns and the internet. Those who did not want to receive vaccination were mainly concerned about safety (288, 59·6%) and efficacy (196, 40·6%). Conclusions Government sources and doctors could increase acceptance of vaccination by promoting the efficacy and safety of COVID-19 vaccination by use of mass media and emphasizing the necessity of vaccination for everyone.

Intervention of resource allocation strategies on spatial spread of epidemic (preprint)

Medical resources are crucial in mitigating the epidemic, especially during pandemics such as the ongoing COVID-19. Thereby, reasonable resource deployment inevitably plays a significant role in suppressing the epidemic under limited resources. When an epidemic breaks out, people can produce resources for self-protection, or donate resources to help others. That is, the exchange of resources also affects the transmission between individuals, thus, altering the epidemic dynamics. To understand factors on resource deployment and the interplay between resource and transmission we construct a metapopulation network model with resource allocation. Our results indicate actively or promptly donating resources is not helpful to suppress the epidemic under both homogeneous population distribution (HOD) and heterogeneous population distribution (HED). Besides, strengthening the speed of resource production can significantly increase the recovery rate so that reduce the final outbreak size. These results may provide policy guidance towards epidemic containment.

An AI-assisted Economic Model of Endogenous Mobility and Infectious Diseases: The Case of COVID-19 in the United States (preprint)

We build a deep-learning-based SEIR-AIM model integrating the classical Susceptible-Exposed-Infectious-Removed epidemiology model with forecast modules of infection, community mobility, and unemployment. Through linking Google’s multi-dimensional mobility index to economic activities, public health status, and mitigation policies, our AI-assisted model captures the populace’s endogenous response to economic incentives and health risks. In addition to being an effective predictive tool, our analyses reveal that the long-term effective reproduction number of COVID-19 equilibrates around one before mass vaccination using data from the United States. We identify a “policy frontier” and identify reopening schools and workplaces to be the most effective. We also quantify protestors’ employment-value-equivalence of the Black Lives Matter movement and find that its public health impact to be negligible.

Screening of anti-SARS-CoV-2 leading compounds based on molecular docking technology

Objective To screen the novel small-molecule inhibitors against novel coronavirus(SARS-CoV-2), the binding protein combined spike protein of coronavirus(S protein) with angiotensin converting enzyme 2(ACE2) receptor was selected as the targets, based on compatibility-combination-TCM-compound database constructed by our group. Methods According to the virological and infection mechanisms of SARS-CoV-2, Q-Site Finder was used to identify the active sites on structural model of the binding protein combined S protein with ACE2 receptor, and molecular docking technology was employed to conduct the potential drug screening research from 4 kinds of 120 compounds such as betulinic acids, diosgenins, sterols, and podophyllotoxins by comparing the score value between the components of the same structure parent nucleusy. Results The active sites predicted by Q-site Finder were used as the key receptor residues for this molecular docking, and the structure parent nucleus of betulinic acid and diosgenin showed preferable binding ability, with 3beta-O-acetylated cholesterol(-13.1 kcal.mol-1), BH-11(-12.9 kcal.mol-1) and BH-12(-12.9 kcal.mol-1) as the top 3% compounds. Meanwhile, the structural parent nucleus of podophyllotoxin was not suitable for relevant research. Above results were verified by docking compounds with the higher absolute value of binding ability with 3 CLpro. Conclusion The structure parent nucleus of betulinic acid, diosgenin, as well as 3beta-O-acetylated cholesterol, BH-11 and BH-12 have the potential anti-SARS-CoV-2 effect, which can provide references for the subsequent new drug research and development against SARS-CoV-2.