The Association between the Fibrosis-4 Index and COVID-19: A Systematic Review and Meta-Analysis

Objective. The prognosis value of fibrosis-4 score (FIB-4) in COVID-19 is controversial. Hence, we conducted a systematic review and meta-analysis to investigate the association between the FIB-4 index and COVID-19 disease progression. Methods. We performed meta-analysis using the PubMed, Embase, and Cochrane databases. A fixed- or random-effects model was used for evaluating heterogeneity. Results. Thirteen studies were included. The meta-analysis of unadjusted results showed that compared to lower FIB-4 index, patients with higher FIB-4 index had increased odds of mortality (OR=5.1, 95%CI 3.67-7.09;P<0.001), ICU admission (OR=2.32, 95%CI: 1.65-3.25, P<0.00001) and need for mechanical ventilator support (OR=3.51, 95%CI: 2.1-5.85, P<0.001). In addition, the meta-analysis of adjusted results showed patients with higher FIB-4 index was associated with increased risk of mortality (OR=3.01, 95%CI: 2.21-4.09, P<0.001) and need for mechanical ventilator support (OR=3.76, 95%CI: 2.08-6.82, P<0.001) compared to patients with lower FIB-4 index. Conclusion. This meta-analysis indicated that high FIB-4 index score was associated with the severity and mortality in COVID-19 infected patients.Copyright © 2022 by the Association of Clinical Scientists, Inc.

Prevention behaviors and influencing factors among Wuhan middle school students during COVID⁃19 epidemic

Objective: To investigate how well do the middle school students in Wuhan know and perform COVID-19 prevention behaviors during the epidemic, and to identify the influencing factors that impact the wellness of students' performance on mask-wearing, hand washing, and other health-related behaviors. Method: We surveyed 21 middle schools in Wuhan using a self-developed questionnaire, evaluated the students' prevention behaviors, and used logistic regression to identify the influencing factors. Results: We investigated 6 858 students with an average age of (14. 5±1. 5) years, including 3 584 male students (accounting for 52. 3%). Grade, parents' education, and submission time are significantly related to the wellness of the three types of health behaviors (P<0. 05). Junior high school students showed a better performance in handwashing and other health-related behaviors than senior high school students (P<0. 05). Parents' education showed a significant impact on students' prevention behaviors in all aspects (P<0. 05). Conclusion: Enhancement is needed for the education of prevention behaviors among middle school students. Schools should pay more attention to students whose parents are of the lower level of education. © 2023 Editorial Board of Medical Journal of Wuhan University. All rights reserved.

The form of global aviation market space in the context of the epidemic

There are many mismatches between international aviation circuit breakers/ maintenance and the stringency index and severity of the outbreak in the origin or destination country in the context of COVID-19. Under the background of the global outbreak of COVID19, in addition to the reasons for the stage of epidemic transmission, prevention-control environment and testing/treatment methods, the underlying impact on the global aviation market its own cannot be ignored. Based on market space theory and market network relationship analysis methods, as well as the international routes, flight volume/frequency/seat capacity and airport operation data of the six major global airline markets for four representative periods from 2019 to 2020, this paper intends to analyze the form of the global aviation market space under the background of the epidemic. The conclusions are as follows. In the process of shrinking the global route network, the original major aviation connections from Western Europe to North America and those from China, Japan to South Korea and the United States have not changed. The developed economies/emerging economies have shown the existence of spatial aggregation. South America has maintained a clear-pointed route to North America and at the same time, a large number of routes to Europe have been cut off. Oceania has increased the use of hub airports in Southeast Asia to maintain routes to Europe and the United States. Market-dependent countries have shown the existence of spatial duality. Aggregate and dual markets highlight the dominant role of the economic landscape. The relatively independent existence of space is strongly influenced by the "regional model", and the aviation market shaping inside and outside the regional alliance is completely different with the European Union, the African Union, and the ASEAN as typical cases. Culturally neighboring countries show the existence of compact connected communities. There are clear manifestations between China-Japan-South Korea, ASEAN to China-Japan-South Korea and Northeast Africa to Arab countries, which are supported by the potential support of cultural and local sensitivity to maintain a high frequency of flights. The above changes in aviation connectivity demonstrate the persistence of inherent aviation value chains and their reinforcing effect on the forms of existence of global aviation market space. It is necessary to explore the economicgeographical implications of the forms of existence of the global aviation market space in depth under the background of the COVID-19 epidemic reinterpret the assertions related to the market space existence forms dominated by globalization in recent years. © 2023, Science Press. All rights reserved.

Can green assets hedge against economic policy uncertainty? Evidence from China with portfolio implications

This paper examines whether green assets can hedge against economic policy uncertainty (EPU) via asymmetric time-varying connectedness and EGARCH models. Using daily data in China spanning from March 2014 to June 2022, we find that (1) an evident asymmetric connectedness exists between green assets and EPU. (2) Green bond, carbon emission allowances and some green stocks can act as hedging or safety-haven assets against EPU, and the conclusion remains robust to an alternative proxy of EPU. (3) The minimum variance and connectedness portfolios provide superior performance during pre- and post-COVID-19 periods, respectively, thereby carrying substantial portfolio implications. © 2023 Elsevier Inc.

Deconstruction of COVID-19 transmission network and its epidemic analysis in a suburban village of Shijiazhuang in China

In January 2021, the COVID-19 outbreak in Xiaoguozhuang Village of Shijiazhuang, the first COVID-19 public health emergency in the rural areas of China. Based on the individual trajectory data in 14 days of 941 confirmed cases, taking the transmission network structural analysis and the epidemic transmission dynamics analysis as the methods, the COVID-19 transmission network from the three aspects is deconstructed: epidemic points formation, types of outputs, and regional expansion evolution. Compared with the COVID-19 transmission network of Beijing Xinfadi Market and Dalian Kaiyang Seafood Company, the conclusions are as follows: (1) The numbers of epidemic points and types are large. In the approximate exposure time, new epidemic points will be formed simultaneously with the central city under the background of rapid urbanization. Still, high community activity leads to the formation of co-exposure to epidemic points;short distance "pendulum moves" leading to more extensive individual trajectory density, and finally resulting in the risk of temporary exposure of epidemic points. (2) It has the significant individual-individual contact infection characteristic and output chain relationship characteristic. The secondary outputs of the rural areas are due to the multigenerational family transmission, which is not seen in the urban cities. (3) Compared with the regional expansion of urban cities, the rural areas are manifested by a longer transmission period, caused by the long occult time of outbreaks and the relatively high relative risk of symptomatic confirmed cases in the rural areas. Finally, three suggestions are put forward, enlarging the management space from the terminal areas to adjacent areas around airports, and then implementing delay management on the overflow personnel based on time shift due to carrying the virus from potential epidemic points and buffering isolation area according to the range of risk changes. The deconstruction network of public health emergencies is a beneficial exploration and will provide a basis for improving the resilience of public health networks in rural areas. © 2022, Science Press. All rights reserved.

WHEN PROBLEM-BASED LEARNING BECOMES ENTREPRENEURIAL - A FACILITATOR'S VIEW ON STUDENT CHALLENGES

Integration of entrepreneurship in current engineering education emphasises the need for engineers to initiate and drive innovation processes that transform ideas into societal value. Learnings from the history of engineering and the at times unsustainable impact of technology on society have drawn attention to user requirements and the societal context of technological innovations. In addition to this view, entrepreneurial education underlines the need to move beyond reactively addressing user requirements and societal developments to proactively creating opportunities and realising their potential to change societal patterns and trajectories. Grand challenges, such as climate change and the recent COVID-19 pandemic, have indeed confirmed the need for such abilities. This paper argues that when integrating entrepreneurship in engineering education, the pedagogical approach to how we teach entrepreneurial engineering will inevitably have to be revisited. The study aims to explore the facilitation of entrepreneurial projects in a problem-based learning (PBL) environment. Design-based research (DBR) was conducted to co-develop and test guidelines and models for entrepreneurial PBL based on existing PBL approaches. In this process, ten facilitators of entrepreneurial PBL projects were continuously challenged to change their perspective from being facilitators to students and from being practitioners to reflective practitioners. In this paper, we especially report on the part of the study investigating the following question: What challenges do students experience when PBL becomes entrepreneurial? The paper concludes with insights into the nuances of entrepreneurial PBL and closes with a short discussion on the need for more research to ensure integration and not the addition of entrepreneurship in engineering education. © 2022 SEFI 2022 - 50th Annual Conference of the European Society for Engineering Education, Proceedings. All rights reserved.

Knowledge Construction in Engineering Education Research - Assessing the Role of Journals, Books, Conferences, and Other Products of Research

This panel will discuss the role of different knowledge artifacts in creating, maintaining, and circulating knowledge within the engineering education community. The past decade has seen a significant increase in the venues available for sharing engineering education research and as the field grows and builds more knowledge, it is equally important to also take stock of prior work and of strategies to create novelty. Within this context, what is the role of different knowledge encapsulating artifacts and why do those who engage with creating these artifacts do so? In this panel we touch upon these issues while taking stock of the knowledge base in the field. We will also discuss what the future of knowledge creation in the field might look like given the move towards open access online publications as the primary form of knowledge circulation. Finally, in the post-COVID context, what will and should be the role of in-person events in this process. In terms of equity of participation, what potential avenues are available?. © 2022 IEEE.

[Characteristics and related factors of viral nucleic acid negative conversion in children infected with Omicron variant strain of SARS-CoV-2].

Objective: To understand the characteristics and associated factors of viral nucleic acid conversion in children infected with Omicron variant strain of SARS-CoV-2 in Shanghai. Methods: The clinical symptoms, laboratory results and other data of 177 children infected with SARS-CoV-2 who were hospitalized in Shanghai Children's Hospital, School of Medicine, Shanghai Jiao Tong University (designated hospital for SARS-CoV-2 infection in Shanghai) from April 25 to June 8, 2022 were retrospectively analyzed. According to the chest imaging findings, the children were divided into mild and common type groups. According to their age, the unvaccinated children were divided into<3 years old group and 3-<18 years old group. According to the vaccination status, the children aged 3-<18 year were divided into non-vaccination group, 1-dose vaccination group and 2-dose vaccination group. Comparison between groups was performed by independent sample t-test and analysis of variance, and multivariate linear regression analysis was used for multivariate analysis. Results: Among the 177 children infected with Omicron variant of SARS-CoV-2, 96 were males and 81 were females, aged 3 (1, 6) years. The time of viral nucleic acid negative conversion was (10.3±3.1) days. The 177 children were 138 cases of mild type and 39 cases of common type. Among the children aged 3-<18 years old, 55 cases were not vaccinated, 5 cases received 1-dose and 36 cases received 2-dose vaccination. Among the 36 children who received 2 doses of vaccination, the time of viral nucleic acid negative conversion was shorter in those vaccinated within 6 months than those over 6 months ((7.1±1.9) vs. (10.8±3.0) d, t=-3.23, P=0.004). Univariate analysis showed that the time of nucleic acid negative conversion of SARS-CoV-2 was associated with age, underlying diseases, gastrointestinal symptoms, white blood cell count, proportion of neutrophils, proportion of lymphocytes, and the number of doses of SARS-CoV-2 vaccine (t=3.87, 2.55, 2.04, 4.24, 3.51, 2.92, F=16.27, all P<0.05). Multiple linear regression analysis showed that older age (ß=-0.33, 95% CI -0.485--0.182, P<0.001) and more doses of vaccination (ß=-0.79, 95% CI -1.463--0.120, P=0.021) were associated with shortened nucleic acid negative conversion time in children, while lower lymphocyte proportion (ß=-0.02, 95% CI -0.044--0.002, P=0.031) and underlying diseases (ß=1.52, 95% CI 0.363-2.672, P=0.010) were associated with prolonged nucleic acid negative conversion time in children. Conclusion: The children infected with Omicron variant of SARS-CoV-2 with reduced lymphocyte proportion and underlying diseases may have longer time of viral nucleic acid negative conversion,while children with older age and more doses of vaccination may have shorter time of viral nucleic acid negative conversion.

Role of oil price volatility, energy efficiency, and financial stability on sustainable energy production

In the COVID-19 crisis, many economies suffered from sustainable energy production. The emergence of the COVID-19 crises, extreme volatility in oil prices, limited energy efficiency in energy systems, and weak form of financial stability were the key reasons for it. However, considering these issues, a recent study aims to analyze them. ASEAN countries' energy efficiency and crude oil price volatility are examined as a solution to how financial conditions might be utilized to handle energy efficiency issues and crude oil price volatility. Extending it, the study aims to identify the influence of financial stability on crude oil price volatility and energy efficiency issues. To do this, GMM is used. According to the study's findings, environmental mitigation was determined to be important at 18%, and financial stability and carbon risk significant at 21%. Global warming concerns have been raised due to the ASEAN nations' 19.5% link between financial stability and emissions drift. A country's financial stability is necessary for implementing green economic recovery strategies, among the most widely accepted measures to reduce energy efficiency and guarantee long-term financial potential on the national scale. The study on green economic growth also provides the associated stakeholders with sensible policy consequences on this importance.

Research progress of small molecular drugs targeting RNA

"At present, majority of the small molecular drugs used in clinics target proteins, they exert the efficacy through the binding to specific sites on the target protein. However, the ""druggable"" protein targets account for a small portion of the total number of proteins, and ""non-druggable"" proteins account for 80%, because of not having suitable drug binding sites. In the central rule, RNA is located in the upstream of proteins and controls the transcription of proteins. The research of small molecule drugs targeting RNA can solve the problem of protein ""undruggable proteins"" in some extent. This review summarizes the representative research achievements of small molecular drugs targeting RNA in recent years, and the screening methods applied to this field, with the focuses on the latest progress of small molecular drugs targeting novel coronavirus RNA. © 2022, Chinese Pharmaceutical Association. All rights reserved."

OPENTFV: An Open Domain Table-Based Fact Verification System

The prevalence of misinformation, both online and offline, has prompted a great demand of fact verification. Table-based fact verification aims to check whether a textual claim is supported or refuted based on relational tables. However, most of the existing approaches are in a closed-domain setting, which may not be realistic in practice. To address this problem, in this paper, we introduce OPENTFV, a user-friendly system that supports open domain table-based fact verification. Given a claim input by an end-user, OPENTFV retrieves the relevant tables, and provides a verification result for each table with an intuitive interpretation in natural language. We have implemented OPENTFV and demonstrated OPENTFV in two representative scenarios, COVID-19 claims fact verification based on academic tables and general fact verification on Wiki-tables.

Online Teaching Strategies of Language skills during Pandemic: A Case of Self-Efficacy of Teaching Faculty in Qatar Universities

COVID-19 caused teaching to shifted online which emanated challenges for both teachers and students. To overcome such challenges, self-efficacy plays a vital role. The major objective of this study was to investigate the self-efficacy of teaching staff during the time of COVID-19. The population was a total of over 1100 the university instructors, out of which a sample of 212 (Female=62, Male= 150) participants was administered. The research data was collected through Likert scale after given a training of using various online teaching strategies with language skills for three days. The factors including in this scale were students’ engagement, classroom management, and instructional strategies with 22 statements. Descriptive and Infrential statistics were assessed by using AMOS software. The findings of this research revealed that the respondents showed a high level of self-efficacy towards teaching during pandemic;and that online teaching was challenging for both pre-service teachers and experienced teachers. Further, there was a significant difference found among the demographic variables of the study regarding students’ engagement, classroom management and instructional strategies with language skills. Further, the qualitative results revealed no significant difference about the demographic characteristics of the respondents regarding self-efficacy through online teaching. There was a significant difference found in mean score where female score was greater than male score. This research is expected to make a great contribution for the development of the self-efficacy of the teaching faculty for the successful completion of teaching-learning process through online teaching. © 2022 EJAL & the Authors. Published by Eurasian Journal of Applied Linguistics (EJAL).

Intervention-Aware Epidemic Prediction by Enhanced Whale Optimization

In recent decades, new epidemics have seriously endangered people’s lives and are now the leading cause of death in the world. The prevention of pandemic diseases has therefore become a top priority today. However, effective prevention remains a difficult challenge due to factors such as transmission mechanisms, lack of documentation of clinical outcomes, and population control. To this end, this paper proposes a susceptible-exposed-infected-quarantined (hospital or home)-recovered (SEIQHR) model based on human intervention strategies to simulate and predict recent outbreak transmission trends and peaks in Changchun, China. In this study, we introduce Levy operator and random mutation mechanism to reduce the possibility of the algorithm falling into a local optimum. The algorithm is then used to identify the parameters of the model optimally. The validity and adaptability of the proposed model are verified by fitting experiments to the number of infections in cities in China that had COVID-19 outbreaks in previous periods (Nanjing, Wuhan, and Xi’an), where the peaks and trends obtained from the experiments largely match the actual situation. Finally, the model is used to predict the direction of the disease in Changchun, China, for the coming period. The results indicated that the number of COVID-19 infections in Changchun would peak around April 3 and continue to decrease until the end of the outbreak. These predictions can help the government plan countermeasures to reduce the expansion of the epidemic. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

District-Coupled Epidemic Control via Deep Reinforcement Learning

The rapid spread of the Coronavirus (COVID-19) poses an unprecedented threat to the public health system and social economy, with approximately 500 million confirmed cases worldwide. Policymakers confront with high-stakes to make a decision on interventions to prevent the pandemic from further spreading, which is a dilemma between public health and a steady economy. However, the epidemic control problem has vast solution space and its internal dynamic is driven by population mobility, which makes it difficult for policymakers to find the optimal intervention strategy based on rules-of-thumb. In this paper, we propose a Deep Reinforcement Learning enabled Epidemic Control framework (DRL-EC) to make a decision on intervention to effectively alleviate the impacts of the epidemic outbreaks. Specifically, it is driven by reinforcement learning to learn the intervention policy autonomously for the policymaker, which can be adaptive to the various epidemic situation. Furthermore, District-Coupled Susceptible-Exposed-Infected-Recovered (DC-SEIR) model is hired to simulate the pandemic transmission between inter-district, which characterize the spatial and temporal nature of infectious disease transmission simultaneously. Extensive experimental results on a real-world dataset, the Omicron local outbreaks in China, demonstrate the superiority of the DRL-EC compared with the strategy based on rules-of-thumb. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Teachers' self-efficacy and online teaching during COVID-19 pandemic in qatari governmental schools

This study investigated primary school teachers' self-efficacy beliefs regarding online teaching during the Covid-19 pandemic and whether it determines any significant differences in self-efficacy levels based on different demographic data. A quantitative and qualitative survey method was employed. The data was collected from primary school teachers in Qatar public schools using a web-based survey that assessed self-efficacy in three areas: Students Engagement, Classroom Management, and Instructional Strategies. Four open-ended questions were included in determining the challenges faced by teachers, coping strategies, and the support needed and received. A total of 514 teachers voluntarily completed the survey. The results showed that elementary school teachers actively reported self-efficacy beliefs in online teaching. T-test and ANOVA analysis revealed significant differences between primary school teachers' self-efficacy and years of experience in the three fields. However, no significant differences were found between self-efficacy, gender, and age in the area. Results indicated that the more years of experience teachers have, the more self-efficacy they perceive. The open-ended questions' results showed that unmotivated students were the most frustrating challenge primary teachers faced in online teaching. Therefore, contacting parents was highly prioritized by teachers for coping with this challenge. Besides, professional training was the main support received, but more practical and interactive workshops are still needed. This research can provide educators with insights on implementing technology effectively in their online classrooms and adapting to challenging times to achieve a smooth and effective learning process. © Authors This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND 4.0).

[Analysis on the imported Coronavirus Disease 2019 related cluster epidemic in rural areas of Chengdu].

An epidemiological investigation was carried out on a local cluster of outbreak caused by imported cases of Coronavirus Disease 2019 (COVID-19) in rural areas of Chengdu in December 2020, to find out the source of infection and the chain of transmission. According to Prevention and Control Protocol for COVID-19 (Version 7), field epidemiological investigation was adopted, combined with big data technology, video image investigation, gene sequencing and other methods to carry out investigation into COVID-19 cases and infections source tracing, analyze the epidemiological association, and map the chain of transmission. From December 7 to 17, 2020, 13 local COVID-19 confirmed cases and 1 asymptomatic case were diagnosed in Chengdu, of which 12 cases (85.71%) had a history of residence and activity in the village courtyard of Taiping (TP), Pidu (P) District, Chengdu. From November 8, 2020 to November 28, 2020, a group of inbound people form Nepal were transferred to the designated entry personnel quarantine hotel of P District which was adjacent to the TP village. During quarantine, there were 5 cases who tested positive for COVID-19. Through gene sequencing alignment, genes of local cases and Nepalese imported cases from the same period are homologous, all belong to the lineage of L2.2.3 (B.1.36 according to Pangolin lineage typing method). According to the results of field epidemiological investigation and gene sequencing analysis, the index case was most likely infected by contact with household waste of quarantine site. Under the situation of normalization prevention and control of COVID-19, sentinel monitoring of fever clinics in primary medical institutions is the key to early detection of the epidemic. The multi-department joint epidemiological investigation and the application of gene technology are the core links of the investigation and traceability of modern infectious diseases. The allocation of public health resources in rural areas needs to be strengthened. We need to improve the capacity for early surveillance and early warning of the epidemic in rural areas.

Lessons Learned from Supporting Low-income Older Adults to Use a Tablet PC in the Age of Digital Divide

Low-income older adults are more likely to face a digital divide due to the limited internet access and digital skills, especially during the COVID-19 pandemic. While many studies in HCI have identified obstacles older adults encountered in technology use, little is known about the digital inequity that older adults experienced in adopting and using the tablet PC for the first time. In this study, we provided 28 low-income older adults with instruction sessions to help them set up and use tablet PCs. From these sessions, we found that while social connection as the most requested feature provides a positive experience, creating or managing a login account and being unfamiliar with common interaction techniques were challenging for older adults to use a tablet PC for the first time. We conclude with design implications for senior-friendly technology. © 2021 ACM.

Exploring an Opportunity to Support Local Food Systems through Online Food Delivery Services with Live-Streaming Farms in China

The use of online food delivery (OFD) services has skyrocketed despite lingering concerns about food safety during the COVID-19 pandemic. The pandemic has impacted most business sectors, including local farms and ranches whose channels to sell through local food markets have shut down. With the demand for food delivery is increasing while the local food market at risk, we saw an opportunity to connect these two complementary businesses through "live-streaming farms."We conducted interviews to investigate the current challenges of using OFD services, designed and evaluated the concept of live-streaming farms in OFD services to promote sustainable local food systems. Our findings indicate that offering extra food-related information through live streaming could potentially reduce primary concerns about food safety for OFD users and build local food networks. We conclude by discussing the design considerations of live-streaming farms that can improve user experience with OFD and support the local food systems. © 2021 ACM.

A survey of a COVID-19 cluster of charter flight importation.

OBJECTIVES: Although a number of cases of importation with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection have been reported, there are still no data available concerning the characteristics in the coronavirus disease 2019 (COVID-19) cluster of charter flight importation. Here, we provide an analysis of COVID-19 cases and their close contacts who worked for the same company on a project in Karbala, Iraq, and returned back to Chengdu, China, by a charter flight. METHODS: The data of imported COVID-19 cases and their close contacts were obtained from National Notifiable Disease Report System of Chinese Center for Disease Control and Prevention and field epidemiological investigation reports by Centers for Disease Control and Prevention (CDCs) in Chengdu. The information of general characteristics and laboratory findings of this cluster were collected and summarized. RESULTS: One hundred and six (66.67%) of 159 charter flight passengers tested positive for COVID-19 before entry. Through treatment, all 159 people tested negative and meet the requirements of taking flights bound for China before boarding. However, there has been still 36 (22.64%) of them tested positive after entry. The median time from entry to confirmation was 1.0 day (Interquartile Range (IQR): 0-4.3). The Cycle threshold value (Ct value) of 36 patients' positive samples are all above 30 and most values are above 35. CONCLUSIONS: In conclusion, there is still a risk that a number of COVID-19 cases can be imported through charter flight. However, the infectivity of confirmed patients of the charter flight was considered to be low.

Estimation of the Unreported Infections of COVID-19 based on an Extended Stochastic Susceptible-Exposed-Infective-Recovered Model

In this paper, an innovative SEIR(Susceptible-Exposed-Infective-Recovered) model is proposed to estimate the true infectivity and lethality of the COVID-19 epidemic in Wuhan, China. Segmented parameters are used in the model to prove the effectiveness of improved public health interventions such as city lockdown and extreme social distancing.And the generally polynomial chaos method is used to increase the reliability of the model results in the case of parameter estimation. The accuracy and validity of the proposed SEIR model are proved according to the official reported data.Also, according to the epidemic trend reflected by the model, the effectiveness and timeliness of the epidemic prevention policies formulated by the government can be reflected. © 2021 IEEE.