scholarly journals Dynamical Behaviors of Rumor Spreading Model with Control Measures

2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Xia-Xia Zhao ◽  
Jian-Zhong Wang
Keyword(s):  
Reproduction Number ◽  
Control Measures ◽  
The Internet ◽  
Dynamical Models ◽  
Control Effect ◽  
Rumor Spreading ◽  
The Public ◽  
Spreading Model ◽  
Dynamical Behaviors ◽  
The Government

Rumor has no basis in fact and flies around. And in general, it is propagated for a certain motivation, either for business, economy, or pleasure. It is found that the web does expose us to more rumor and increase the speed of the rumors spread. Corresponding to these new ways of spreading, the government should carry out some measures, such as issuing message by media, punishing the principal spreader, and enhancing management of the internet. In order to assess these measures, dynamical models without and with control measures are established. Firstly, for two models, equilibria and the basic reproduction number of models are discussed. More importantly, numerical simulation is implemented to assess control measures of rumor spread between individuals-to-individuals and medium-to-individuals. Finally, it is found that the amount of message released by government has the greatest influence on the rumor spread. The reliability of government and the cognizance ability of the public are more important. Besides that, monitoring the internet to prevent the spread of rumor is more important than deleting messages in media which already existed. Moreover, when the minority of people are punished, the control effect is obvious.

Coronavirus: Towards controlling of the pandemic - Indian scenario

2020 ◽  
Vol 11 (SPL1) ◽  
pp. 462-468
Author(s):  
Latika kothari ◽  
Sanskruti Wadatkar ◽  
Roshni Taori ◽  
Pavan Bajaj ◽  
Diksha Agrawal
Keyword(s):  
Control Measures ◽  
The Novel ◽  
Medical Treatments ◽  
Health Crisis ◽  
The Public ◽  
Infection Control Measures ◽  
The Social ◽  
Asking Questions ◽  
The Government ◽  
Novel Coronavirus

Coronavirus disease 2019 (COVID-19) is a communicable infection caused by the novel coronavirus resulting in severe acute respiratory syndrome coronavirus 2 (SARS-CoV). It was recognized to be a health crisis for the general population of international concern on 30th January 2020 and conceded as a pandemic on 11th March 2020. India is taking various measures to fight this invisible enemy by adopting different strategies and policies. To stop the COVID-19 from spreading, the Home Affairs Ministry and the health ministry, of India, has issued the nCoV 19 guidelines on travel. Screening for COVID-19 by asking questions about any symptoms, recent travel history, and exposure. India has been trying to get testing kits available. The government of India has enforced various laws like the social distancing, Janata curfew, strict lockdowns, screening door to door to control the spread of novel coronavirus. In this pandemic, innovative medical treatments are being explored, and a proper vaccine is being hunted to deal with the situation. Infection control measures are necessary to prevent the virus from further spreading and to help control the current situation. Thus, this review illustrates and explains the criteria provided by the government of India to the awareness of the public to prevent the spread of COVID-19.

scholarly journals Dynamics of the rumor-spreading model with hesitation mechanism in heterogenous networks and bilingual environment

2020 ◽  
Vol 2020 (1) ◽  
Author(s):  
Shuai Yang ◽  
Haijun Jiang ◽  
Cheng Hu ◽  
Juan Yu ◽  
Jiarong Li
Keyword(s):  
Lyapunov Method ◽  
Reproduction Number ◽  
Model Parameters ◽  
Rumor Spreading ◽  
Spreading Model ◽  
Reductio Ad Absurdum ◽  
The Stability ◽  
The Impact ◽  
Theoretical Results ◽  
The Basic Reproduction Number

Abstract In this paper, a novel rumor-spreading model is proposed under bilingual environment and heterogenous networks, which considers that exposures may be converted to spreaders or stiflers at a set rate. Firstly, the nonnegativity and boundedness of the solution for rumor-spreading model are proved by reductio ad absurdum. Secondly, both the basic reproduction number and the stability of the rumor-free equilibrium are systematically discussed. Whereafter, the global stability of rumor-prevailing equilibrium is explored by utilizing Lyapunov method and LaSalle’s invariance principle. Finally, the sensitivity analysis and the numerical simulation are respectively presented to analyze the impact of model parameters and illustrate the validity of theoretical results.

scholarly journals Analysis and prediction of the coronavirus disease epidemic in China based on an individual-based model

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Zuiyuan Guo ◽  
Dan Xiao
Keyword(s):  
Reproduction Number ◽  
Control Measures ◽  
Cumulative Number ◽  
Individual Based Model ◽  
Whole Process ◽  
Coordinate Descent Algorithm ◽  
Initial Stage ◽  
The Government ◽  
Prevention And Control Measures ◽  
And Control

AbstractWe established a stochastic individual-based model and simulated the whole process of occurrence, development, and control of the coronavirus disease epidemic and the infectors and patients leaving Hubei Province before the traffic was closed in China. Additionally, the basic reproduction number (R0) and number of infectors and patients who left Hubei were estimated using the coordinate descent algorithm. The median R0 at the initial stage of the epidemic was 4.97 (95% confidence interval [CI] 4.82–5.17). Before the traffic lockdown was implemented in Hubei, 2000 (95% CI 1982–2030) infectors and patients had left Hubei and traveled throughout the country. The model estimated that if the government had taken prevention and control measures 1 day later, the cumulative number of laboratory-confirmed patients in the whole country would have increased by 32.1%. If the lockdown of Hubei was imposed 1 day in advance, the cumulative number of laboratory-confirmed patients in other provinces would have decreased by 7.7%. The stochastic model could fit the officially issued data well and simulate the evolution process of the epidemic. The intervention measurements nationwide have effectively curbed the human-to-human transmission of severe acute respiratory syndrome coronavirus 2.

scholarly journals Research on Mining and Application of Group Events Based on Network Public Opinion Big Data

2021 ◽  
Author(s):  
Weimin Gao ◽  
Jiaming Zhong ◽  
Yuan Xiao
Keyword(s):  
Big Data ◽  
Public Opinion ◽  
Social Life ◽  
The Internet ◽  
Sir Epidemic Model ◽  
Control Effect ◽  
Public Events ◽  
Sir Epidemic ◽  
The Government ◽  
Network Public Opinion

Network Public Opinion is significant in maintaining social harmony and stability and promoting transparency in government affairs. However, with the development of economy and transformation of society, our country has entered a high-risk period, which is full of unexpected public events. Unexpected mass accidents also cause hot discussions among the Internet users once they are exposed on the network. Different ideas, opinions, emotions, and attitudes about unexpected public events will be collected and collide on the Internet. It makes Network Public Opinion play an increasingly important role in the evolution of unexpected public events. It could promote the spread and upgrade of unexpected public events and bring more and more profound influence on to our social life. We use the case study method to analyze and solve the problems by applying the dynamic principles of the SIR epidemic model, comprehensively considering the social environment and various influencing factors, and constructing a mathematical model for the spread of network group events. The study uses Matlab to simulate the change trajectory of the number of participants in the network group events. By adjusting the number of contacts φ in the model, the development of network group emergencies can be effectively controlled and managed. As long as the government takes timely intervention measures, the dissemination of network group events can be basically controlled. Combined with public opinion big data to discover the important factors affecting the spread of public opinion, the control effect is obvious.

scholarly journals Studi Literatur: Pengetahuan sebagai Salah Satu Faktor Utama Pencegahan Penularan COVID-19

2020 ◽  
Vol 6 (Khusus) ◽  
pp. 55
Author(s):  
Abdul Ganing ◽  
Irma Muslimin
Keyword(s):  
Social Media ◽  
Preventive Measures ◽  
Health Workers ◽  
Lessons Learned ◽  
The Internet ◽  
Accurate Information ◽  
Ordinary People ◽  
The Public ◽  
The Government ◽  
Medical Analysis

Current conditions show that the coronavirus is not an epidemic that can be ignored. When viewed from the symptoms, ordinary people would think that it was only common influenza, but for medical analysis, this virus is quite dangerous and deadly. Currently, the effort that can be done to avoid the transmission of Covid-19 is to take preventive measures as early as possible. This article aims to review the extent of knowledge of Literature Review by reviewing five papers from the Science Direct and Google Scholar databases. The results showed that the five articles reviewed showed that students, health workers, and the general public gained independent knowledge about Covid-19 in different ways. The knowledge is formed from information obtained from the internet and social media, TV, newspapers/magazines, discussions with peers, and from lessons learned in college. Therefore, the government should pay attention to the dissemination of information related to Covid-19 so that the public can receive accurate information as an effort to form knowledge so that accurate preventive measures can be obtained against Covid-19 in the community.

The Contentious Public Sphere

2019 ◽  
Author(s):  
Ya-Wen Lei
Keyword(s):  
Public Sphere ◽  
The State ◽  
The Internet ◽  
The Public ◽  
Political Critique ◽  
The Media ◽  
The Government ◽  
Uncertain Future ◽  
The Public Sphere ◽  
Legal Subjects

Since the mid-2000s, public opinion and debate in China have become increasingly common and consequential, despite the ongoing censorship of speech and regulation of civil society. How did this happen? This book shows how the Chinese state drew on law, the media, and the Internet to further an authoritarian project of modernization, but in so doing, inadvertently created a nationwide public sphere in China—one the state must now endeavor to control. The book examines the influence this unruly sphere has had on Chinese politics and the ways that the state has responded. It shows that the development of the public sphere in China has provided an unprecedented forum for citizens to influence the public agenda, demand accountability from the government, and organize around the concepts of law and rights. It demonstrates how citizens came to understand themselves as legal subjects, how legal and media professionals began to collaborate in unexpected ways, and how existing conditions of political and economic fragmentation created unintended opportunities for political critique, particularly with the rise of the Internet. The emergence of this public sphere—and its uncertain future—is a pressing issue with important implications for the political prospects of the Chinese people. The book offers new possibilities for thinking about the transformation of state–society relations.

A Prototype Study on Electronic Rulemaking

2011 ◽  
pp. 2776-2783
Author(s):  
Gloria T. Lau ◽  
Kincho H. Law
Keyword(s):  
The Internet ◽  
Government Agencies ◽  
The Public ◽  
Huge Data ◽  
Tobacco Tax ◽  
Information And Communication ◽  
Relatedness Analysis ◽  
The Government ◽  
Analysis System ◽  
E Mail

The making of government regulations represents an important communication between the government and citizens. During the process of rulemaking, government agencies are required to inform and to invite the public to review the proposed rules. Interested and affected citizens participate by submitting comments accordingly. Electronic rulemaking, or e-rulemaking in short, redefines this process of rule drafting and commenting to effectively involve the public in the making of regulations. The goal of the e-rulemaking initiative is to integrate agency operations and technology investments; for instance, the electronic media, such as the Internet, is used as the means to provide a better environment for the public to comment on proposed rules and regulations. Based on the review of the received public comments, government agencies revise the proposed rules. With the proliferation of the Internet, it becomes a growing problem for government agencies to handle the comments submitted by the public. Large amounts of electronic data (i.e., the public comments) are easily generated, and they need to be reviewed and analyzed along with the drafted rules. As such, part of e-rulemaking involves a non-trivial task of sorting through a massive volume of electronically submitted textual comments. For example, the Federal Register (2003) documented a recent case where the U.S. Alcohol and Tobacco Tax and Trade Bureau (TTB) received over 14,000 comments in seven months, majority of which are e-mails, on a flavored malt beverages proposal. The call for public comments by the TTB included the following statement: All comments posted on our Web site will show the name of the commenter but will not show street addresses, telephone numbers, or e-mail addresses. (2003, p. 67388) However, due to the “unusually large number of comments received,” the Bureau announced later that it is difficult to remove all street addresses, telephone numbers, and e-mail addresses “in a timely manner” (2003, p. 67388). Instead, concerned individuals are asked to submit a request for removal of address information as opposed to the original statement posted in the call for comments. The example shows that an effortless electronic comment submission process has turned into a huge data processing problem for government agencies. Fortunately, the advance in information and communication technology (ICT) can help alleviate some of the barriers in e-rulemaking. This article will discuss a prototype of a comment analysis system, which classifies public comments according to related provisions in the drafted regulations. The automated relatedness analysis system can potentially save rule makers significant amount of time in reviewing public comments in regard to different provisions in the drafted regulations.

Regulating Obscenity in Chinese Livestreaming: An Ongoing Mediation between the Private and the Public, the Nation and the Market

2021 ◽  
Vol 8 (1-2) ◽  
pp. 70-91
Author(s):  
Jingyi Gu
Keyword(s):  
Real Time ◽  
The Internet ◽  
Regulatory Regime ◽  
Public And Private ◽  
The Public ◽  
Neoliberal Governmentality ◽  
Grey Area ◽  
History Of ◽  
The Government

Abstract Livestreaming platforms, including Huya, Douyu, Huajiao, and Inke, have become extremely popular in China in recent years, resulting in the formation of new industries and new professions. Livestreaming also forms a ‘grey area’ for the production and circulation of content that can be deemed pornographic and obscene by the government. The challenges for effective regulations come mainly from livestreaming’s real-time feature and its problematization of the distinction between public and private. Using theoretical lenses, including a Foucauldian approach to neoliberal governmentality, this article examines the Chinese government’s major attempts between 2016 and 2018 to regulate obscenity in livestreaming and consider them in the context of the government’s history of regulating media, the internet, and pornography. Based on an analysis of the evolving regulatory regime, the article also discusses how livestreaming users are left to their own devices as they navigate the ongoing mediation between the government’s economic and ideological motives.

scholarly journals Analysis of Potential Risk of COVID-19 Infections in China Based on a Pairwise Epidemic Model

2020 ◽  
Author(s):  
Xiaofeng Luo ◽  
Shanshan Feng ◽  
Junyuan Yang ◽  
Xiao-Long Peng ◽  
Xiaochun Cao ◽  
...  
Keyword(s):  
Epidemic Model ◽  
Reproduction Number ◽  
Economic Benefits ◽  
Control Measures ◽  
Contact Tracing ◽  
The Novel ◽  
The Public ◽  
Disease Propagation ◽  
Long Run ◽  
Novel Coronavirus

The ongoing outbreak of the novel coronavirus pneumonia (also known as COVID-19) has triggered a series of stringent control measures in China, such as city closure, traffic restrictions, contact tracing and household quarantine. These containment efforts often lead to changes in the contact pattern among individuals of the population. Many existing compartmental epidemic models fail to account for the effects of contact structure. In this paper, we devised a pairwise epidemic model to analyze the COVID-19 outbreak in China based on confirmed cases reported during the period February 3rd--17th, 2020. By explicitly incorporating the effects of family clusters and contact tracing followed by household quarantine and isolation, our model provides a good fit to the trajectory of COVID-19 infections and is useful to predict the epidemic trend. We obtained the average of the reproduction number $R=1.494$ ($95\%$ CI: $1.483-1.507$) for Hubei province and $R=1.178$ ($95\%$ CI: $1.145-1.158$) for China (except Hubei), suggesting that some existing studies may have overestimated the reproduction number by neglecting the dynamical correlations and clustering effects. We forecasted that the COVID-19 epidemic would peak on February 13th ($95\%$ CI: February $9-17$th) in Hubei and 6 days eariler in the regions outside Hubei. Moreover the epidemic was expected to last until the middle of March in China (except Hubei) and late April in Hubei. The sensitivity analysis shows that ongoing exposure for the susceptible and population clustering play an important role in the disease propagation. With the enforcement of household quarantine measures, the reproduction number $R$ effectively reduces and epidemic quantities decrease accordingly. Furthermore, we gave an answer to the public concern on how long the stringent containment strategies should maintain. Through numerical analysis, we suggested that the time for the resumption of work and production in China (except Hubei) and Hubei would be the middle of March and the end of April, 2020, respectively. These constructive suggestions may bring some immeasurable social-economic benefits in the long run.

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