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学者姓名：汪婧
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Abstract ：
COVID-19 has dramatically changed people's mobility geste patterns and affected the operations of different functional spots. In the environment of the successful reopening of countries around the world since 2022, it's pivotal to understand whether the reopening of different types of locales poses a threat of wide epidemic transmission. In this paper, by establishing an epidemiological model based on mobile network data, combining the data handed by the Safegraph website, and taking into account the crowd inflow characteristics and the changes of susceptible and latent populations, the trends of the number of crowd visits and the number of epidemic infections at different functional points of interest after the perpetration of continuing strategies were simulated. The model was also validated with daily new cases in ten metropolitan areas in the United States from March to May 2020, and the results showed that the model fitted the evolutionary trend of realistic data more accurately. Further, the points of interest were classified into risk levels, and the corresponding reopening minimum standard prevention and control measures were proposed to be implemented according to different risk levels. The results showed that restaurants and gyms became high-risk points of interest after the perpetration of the continuing strategy, especially the general dine-in restaurants were at higher risk levels. Religious exertion centers were the points of interest with the loftiest average infection rates after the perpetration of the continuing strategy. Points of interest such as convenience stores, large shopping malls, and pharmacies were at a lower risk for outbreak impact after the continuing strategy was enforced. Based on this, continuing forestallment and control strategies for different functional points of interest are proposed to provide decision support for the development of precise forestallment and control measures for different spots.
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| GB/T 7714 | Wang, Jing , Huang, YuHui , Dong, Ying et al. Assessment of the impact of reopening strategies on the spatial transmission risk of COVID-19 based on a data-driven transmission model [J]. | SCIENTIFIC REPORTS , 2023 , 13 (1) . |
| MLA | Wang, Jing et al. "Assessment of the impact of reopening strategies on the spatial transmission risk of COVID-19 based on a data-driven transmission model" . | SCIENTIFIC REPORTS 13 . 1 (2023) . |
| APA | Wang, Jing , Huang, YuHui , Dong, Ying , Wu, BingYing . Assessment of the impact of reopening strategies on the spatial transmission risk of COVID-19 based on a data-driven transmission model . | SCIENTIFIC REPORTS , 2023 , 13 (1) . |
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突发事件应对过程中,公众对突发事件的风险感知会在一定程度上决定其行为选择从而影响事件风险的传播.为此,本文通过分析突发事件风险信息、风险感知和风险传播的路径关系,在风险传播过程中引入传染病传播机制,构建基于微分方程的风险传播模型.综合考虑风险传播阈值、媒体报道力度、群体风险感知度、个人风险知识水平四类因素并结合仿真实验分析对风险感知和风险传播行为的影响.最后,通过实例研究表明模型结论的有效性.本文研究结论有助于为相关职能部门调节公众风险感知,制定风险防控措施提供理论依据与支持.
Keyword ：
传染病模型 传染病模型 突发事件 突发事件 风险传播 风险传播 风险信息 风险信息 风险感知 风险感知
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| GB/T 7714 | 汪婧 , 郭楚晴 . 考虑公众风险感知的突发事件风险传播模型及仿真研究 [J]. | 运筹与管理 , 2023 , 32 (1) : 159-168 . |
| MLA | 汪婧 et al. "考虑公众风险感知的突发事件风险传播模型及仿真研究" . | 运筹与管理 32 . 1 (2023) : 159-168 . |
| APA | 汪婧 , 郭楚晴 . 考虑公众风险感知的突发事件风险传播模型及仿真研究 . | 运筹与管理 , 2023 , 32 (1) , 159-168 . |
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With the rapid development of internet information technology, online public opinion's influence is infinitely magnified, seriously threatening social security and national governance. It is significant to clarify the spatial and temporal evolution rules of online public opinion on major epidemics and its influencing factors for the governance and guidance of online public opinion on major epidemics. In this paper, the spatiotemporal evolution analysis model of online public opinion and an analysis model of influencing factors were constructed. We selected the Baidu index and microblog crawler text data at the early stage of COVID-19 as the research objects and analyzed the evolution of online public opinion during the time period by using the optimal segmentation method, spatial autocorrelation analysis, and text analysis method. The spatiotemporal evolutionary influences and their influence are further analyzed using the geographic probe factor detection method. The results showed that the evolution of online public opinion in the early stage of the epidemic was closely related to the event's evolution and the prevention and control effect. In the time dimension, the early evolution of online public opinion has prominent periodic characteristics. In the geospatial dimension, there are significant spatial agglomeration effects and spillover effects. In the cyberspace dimension, there are significant differences in online public opinion heat, hot topics, and netizens' emotional tendencies at different stages. Furthermore, the severity of the epidemic, the number of Internet users, the number of media reports and the region's attributes jointly affect the spatial and temporal evolution pattern of online public opinions about the epidemic. The research results provide decision-making references for the government and planners to effectively manage online public opinion on emergencies and improve the government's public opinion governance capacity and level.
Keyword ：
COVID-19 pandemic COVID-19 pandemic Influencing factors Influencing factors Online public opinion Online public opinion Public opinion governance Public opinion governance Spatiotemporal pattern evolution Spatiotemporal pattern evolution
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| GB/T 7714 | Wang, Jing , Zhang, Xukun , Liu, Wubin et al. Spatiotemporal pattern evolution and influencing factors of online public opinion--Evidence from the early-stage of COVID-19 in China [J]. | HELIYON , 2023 , 9 (9) . |
| MLA | Wang, Jing et al. "Spatiotemporal pattern evolution and influencing factors of online public opinion--Evidence from the early-stage of COVID-19 in China" . | HELIYON 9 . 9 (2023) . |
| APA | Wang, Jing , Zhang, Xukun , Liu, Wubin , Li, Pei . Spatiotemporal pattern evolution and influencing factors of online public opinion--Evidence from the early-stage of COVID-19 in China . | HELIYON , 2023 , 9 (9) . |
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The public's risk perception of public health emergencies will determine their behavior choices to a certain extent. Research on public risk perception of emergencies is an integral part of crisis management. From the perspective of the whole life cycle, this article takes the COVID-19 epidemic as an example. It conducts empirical analysis to study the influencing factors of public risk perception of public health emergencies. The results show that: (1) the public's risk perception is affected by individual factors, event characteristics, social influencing factors, and individual relationship factors. (2) The more the public is familiar with the epidemic, the lower the risk of the epidemic. The more the public can control the loss of the epidemic risk, the perceived epidemic risk will be reduced. The more the public trusts the supreme power of the government, the lower the risk of the epidemic in their hearts is. The higher the closeness of the risk and impact of the epidemic to individuals, the higher the level of risk perception is. (3)The public's risk perception will evolve with the development of the situation, and there are differences in recognition of government departments' control measures at different stages of public health emergencies. The relevant departments should effectively guide the public's risk response behavior in combination with the life cycle of public health emergencies. The research conclusions of this article clarify the dynamic evolution of risk perception and provide a specific reference for the emergency management of public health emergencies.
Keyword ：
COVID-19 COVID-19 Public behavior Public behavior Public health emergencies Public health emergencies Risk perception Risk perception Whole life cycle Whole life cycle
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| GB/T 7714 | Wang, Jing , Guo, Chuqing , Wu, Xiaoxin et al. Influencing factors for public risk perception of COVID-19--perspective of the pandemic whole life cycle [J]. | INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION , 2022 , 67 . |
| MLA | Wang, Jing et al. "Influencing factors for public risk perception of COVID-19--perspective of the pandemic whole life cycle" . | INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION 67 (2022) . |
| APA | Wang, Jing , Guo, Chuqing , Wu, Xiaoxin , Li, Pei . Influencing factors for public risk perception of COVID-19--perspective of the pandemic whole life cycle . | INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION , 2022 , 67 . |
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Background: Risk perception is a key factor influencing the public's behavioral response to major public health events. The research on public risk perception promotes the emergency management system to adapt to the needs of modern development. This article is based on a risk information perspective, using the COVID-19 event as an example. From the micro and macro perspectives, the influencing factors of public risk perception in major public health events in China are extracted, and the attribution model and index system of public risk perception are established.Methods: In this paper, the five-level Likert scale is used to collect and measure the risk perception variable questionnaire through the combination of online and offline methods (a total of 550 questionnaires, the overall Alpha coefficient of the questionnaire is 0.955, and the KMO test coefficient t=0.941), and through independent samples t-test, correlation analysis, multiple regression analysis and other methods to draw relevant conclusions.Results: The results showed that gender and age were significantly associated with risk perception (p<0.005), and education level was significantly negatively associated with risk perception (p <0 0.005). Risk information attention and risk perception were significantly positively correlated (p<0.005), media credibility was significantly positively correlated with risk perception (p<0.005), while risk information identification and media exposure had no significant interaction with risk perception (p=0.125, p=0.352).Conclusion: Factors such as gender, age, education level, place of residence, media exposure, media credibility, risk information attention, and recognition lead to different levels of risk perception. This conclusion helps to provide a basis for relevant departments to conduct public risk management of major public health events based on differences in risk perceptions.
Keyword ：
COVID-19 COVID-19 influencing factors influencing factors public health events public health events risk information risk information risk perception risk perception
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| GB/T 7714 | Wang, Jing , Guo, Chuqing , Lin, Tingyu . Public Risk Perception Attribution Model and Governance Path in COVID-19: A Perspective Based on Risk Information [J]. | RISK MANAGEMENT AND HEALTHCARE POLICY , 2022 , 15 : 2097-2113 . |
| MLA | Wang, Jing et al. "Public Risk Perception Attribution Model and Governance Path in COVID-19: A Perspective Based on Risk Information" . | RISK MANAGEMENT AND HEALTHCARE POLICY 15 (2022) : 2097-2113 . |
| APA | Wang, Jing , Guo, Chuqing , Lin, Tingyu . Public Risk Perception Attribution Model and Governance Path in COVID-19: A Perspective Based on Risk Information . | RISK MANAGEMENT AND HEALTHCARE POLICY , 2022 , 15 , 2097-2113 . |
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随着新冠肺炎疫情在全世界各地传播，通过对其数据和传播机理的分析，已有SEIRD模型的基础上构建SEI_iRD模型，将感染人群分为无症状感染者、轻症感染者、重症感染者和危重症感染者，分析不同感染人群的传播率对疫情发展的影响。在拟合现实数据的基础上进行仿真实验，研究发现影响疫情发展的主要感染人群是无症状感染者和轻症感染者。在此基础上进一步分析了不同的无症状和轻症感染者的传播速率所造成感染人数和死亡人数的变化情况。针对介入干预时间对感染人数和死亡人数的影响进行了仿真分析。实验结果表明该模型能有效模拟新冠肺炎疫情传播规律，有助于防控职能部门实施相应的疫情防控策略提供决策支持。
Keyword ：
COVID-19 COVID-19 SEI_iRD模型 SEI_iRD模型 传播动力学 传播动力学 疫情传播 疫情传播 防控措施 防控措施
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| GB/T 7714 | 汪婧 , 董莹 . 基于SEI_iRD模型的COVID-19传播及防控仿真研究 [J]. | 系统仿真学报 , 2022 , 34 (07) : 1532-1546 . |
| MLA | 汪婧 et al. "基于SEI_iRD模型的COVID-19传播及防控仿真研究" . | 系统仿真学报 34 . 07 (2022) : 1532-1546 . |
| APA | 汪婧 , 董莹 . 基于SEI_iRD模型的COVID-19传播及防控仿真研究 . | 系统仿真学报 , 2022 , 34 (07) , 1532-1546 . |
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网络舆情关乎社会稳定和国家治理,因此对网络舆情进行风险评估和预警具有重要意义.采用层次分析法和模糊综合评价法,通过划分舆情风险等级,构建网络舆情风险评估指标体系,并以新冠肺炎疫情期间的网络舆情为例进行实证研究.通过实证研究得出新冠肺炎疫情期间的网络舆情风险等级为“二级(比较严重)”,与此前专家对这次舆情的评定相吻合.针对公共卫生事件网络舆情风险防控的现实困境,从卫生体制、网民、政府、媒介四个评价指标提出网络舆情风险防控的对策,具有一定的现实意义.
Keyword ：
公共卫生事件 公共卫生事件 层次分析法 层次分析法 模糊综合评价法 模糊综合评价法 网络舆情 网络舆情 风险评估 风险评估
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| GB/T 7714 | 汪婧 , 刘武兵 . 基于AHP-模糊综合评价法的公共卫生事件网络舆情风险评估 [J]. | 北京化工大学学报（社会科学版） , 2021 , (1) : 23-29 . |
| MLA | 汪婧 et al. "基于AHP-模糊综合评价法的公共卫生事件网络舆情风险评估" . | 北京化工大学学报（社会科学版） 1 (2021) : 23-29 . |
| APA | 汪婧 , 刘武兵 . 基于AHP-模糊综合评价法的公共卫生事件网络舆情风险评估 . | 北京化工大学学报（社会科学版） , 2021 , (1) , 23-29 . |
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【目的/意义】把握突发事件舆情传播网络的内在结构特征,可以为网络舆情健康发展提供优化对策。【方法/过程】运用社会网络分析方法(SNA),以江苏响水"3·21"爆炸事故为实证研究对象,运用ucinet软件生成网络拓扑图,从网络整体结构、中心性、位置角色三个维度下的七个测度指标进行网络结构特征的测度分析。【结果/结论】该突发事件舆情传播网络具有较高的连通性和异质性、网络的结构特性影响舆情信息传播速度和效力、用户的信息传播能力具有马太效应、用户特性影响其在网络中的地位。最终根据网络内部结构特征分析,提出针对性的建议。
Keyword ：
社会网络分析 社会网络分析 突发事件 突发事件 网络结构特征 网络结构特征 网络舆情 网络舆情
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| GB/T 7714 | 汪婧 , 陈发培 . 基于SNA的突发事件舆情传播网络的结构特征分析——以江苏响水“3·21”爆炸事故为例 [J]. | 电子科技大学学报(社科版) , 2021 , 23 (01) : 10-18 . |
| MLA | 汪婧 et al. "基于SNA的突发事件舆情传播网络的结构特征分析——以江苏响水“3·21”爆炸事故为例" . | 电子科技大学学报(社科版) 23 . 01 (2021) : 10-18 . |
| APA | 汪婧 , 陈发培 . 基于SNA的突发事件舆情传播网络的结构特征分析——以江苏响水“3·21”爆炸事故为例 . | 电子科技大学学报(社科版) , 2021 , 23 (01) , 10-18 . |
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[目的/意义]把握突发事件舆情传播网络的内在结构特征,可以为网络舆情健康发展提供优化对策.[方法/过程]运用社会网络分析方法(SNA),以江苏响水"3?21"爆炸事故为实证研究对象,运用ucinet软件生成网络拓扑图,从网络整体结构、中心性、位置角色三个维度下的七个测度指标进行网络结构特征的测度分析.[结果/结论]该突发事件舆情传播网络具有较高的连通性和异质性、网络的结构特性影响舆情信息传播速度和效力、用户的信息传播能力具有马太效应、用户特性影响其在网络中的地位.最终根据网络内部结构特征分析,提出针对性的建议.
Keyword ：
社会网络分析 社会网络分析 突发事件 突发事件 网络结构特征 网络结构特征 网络舆情 网络舆情
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| GB/T 7714 | 汪婧 , 陈发培 . 基于SNA的突发事件舆情传播网络的结构特征分析——以江苏响水"3•21"爆炸事故为例 [J]. | 电子科技大学学报（社会科学版） , 2021 , 23 (1) : 10-18 . |
| MLA | 汪婧 et al. "基于SNA的突发事件舆情传播网络的结构特征分析——以江苏响水"3•21"爆炸事故为例" . | 电子科技大学学报（社会科学版） 23 . 1 (2021) : 10-18 . |
| APA | 汪婧 , 陈发培 . 基于SNA的突发事件舆情传播网络的结构特征分析——以江苏响水"3•21"爆炸事故为例 . | 电子科技大学学报（社会科学版） , 2021 , 23 (1) , 10-18 . |
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Dyeing is the most time and energy-consuming process in textile production. Motivated by a dyeing overdue problem in a lace textile factory, we study a parallel machine scheduling problem with different colour families, sequence-dependent setup times, and machine eligibility restriction. An integer programming model is formulated to minimise the total tardiness. Given that the dyeing optimisation problem is strongly NP-hard, a hybrid differential evolution (HDE) algorithm embedded with chaos theory and two local search algorithms is proposed to solve real-world instances from the textile factory. In our proposed algorithm, a special encoding and decoding scheme is designed to deal with the machine eligibility constraint, and chaos theory is adopted to determine the parameter settings of the underlying differential evolution (DE) algorithm. To speed up convergence and improve search exploitation, two local search algorithms inspired by two dominance properties are developed to determine the optimal job sequence for parallel machines, such that the decision of the entire problem is simplified to the assignment of jobs among the machines, and the computational time required is significantly reduced. Comprehensive experiments based on 36 synthetically generated small to large-scale problem instances and 20 real-world industrial data sets confirm the efficacy of our proposed HDE over other DE variants.
Keyword ：
chaos theory chaos theory dominance property dominance property hybrid differential evolution hybrid differential evolution parallel machine scheduling with sequence-dependent setup times parallel machine scheduling with sequence-dependent setup times textile dyeing optimisation textile dyeing optimisation
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| GB/T 7714 | Li, Debiao , Wang, Jing , Qiang, Rui et al. A hybrid differential evolution algorithm for parallel machine scheduling of lace dyeing considering colour families, sequence-dependent setup and machine eligibility [J]. | INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH , 2020 . |
| MLA | Li, Debiao et al. "A hybrid differential evolution algorithm for parallel machine scheduling of lace dyeing considering colour families, sequence-dependent setup and machine eligibility" . | INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH (2020) . |
| APA | Li, Debiao , Wang, Jing , Qiang, Rui , Chiong, Raymond . A hybrid differential evolution algorithm for parallel machine scheduling of lace dyeing considering colour families, sequence-dependent setup and machine eligibility . | INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH , 2020 . |
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