Optimal control strategies for an online game addiction model with low and high risk exposure

Abstract Objective: Evidence-based infection control strategies are needed for healthcare workers (HCWs) following high-risk exposure to severe acute respiratory coronavirus virus 2 (SARS-CoV-2). In this study, we evaluated the negative predictive value (NPV) of a home-based 7-day infection control strategy. Methods: HCWs advised by their infection control or occupational health officer to self-isolate due to a high-risk SARS-CoV-2 exposure were enrolled between May and October 2020. The strategy consisted of symptom-triggered nasopharyngeal SARS-CoV-2 RNA testing from day 0 to day 7 after exposure and standardized home-based nasopharyngeal swab and saliva testing on day 7. The NPV of this strategy was calculated for (1) clinical coronavirus disease 2019 (COVID-19) diagnosis from day 8–14 after exposure, and for (2) asymptomatic SARS-CoV-2 detected by standardized nasopharyngeal swab and saliva specimens collected at days 9, 10, and 14 after exposure. Interim results are reported in the context of a second wave threatening this essential workforce. Results: Among 30 HCWs enrolled, the mean age was 31 years (SD, ±9), and 24 (80%) were female. Moreover, 3 were diagnosed with COVID-19 by day 14 after exposure (secondary attack rate, 10.0%), and all cases were detected using the 7-day infection control strategy: the NPV for subsequent clinical COVID-19 or asymptomatic SARS-CoV-2 detection by day 14 was 100.0% (95% CI, 93.1%–100.0%). Conclusions: Among HCWs with high-risk exposure to SARS-CoV-2, a home-based 7-day infection control strategy may have a high NPV for subsequent COVID-19 and asymptomatic SARS-CoV-2 detection. Ongoing data collection and data sharing are needed to improve the precision of the estimated NPV, and here we report interim results to inform infection control strategies in light of a second wave threatening this essential workforce.

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Stability and optimal control in a mathematical model of online game addiction

Filomat ◽

10.2298/fil1917691l ◽

2019 ◽

Vol 33 (17) ◽

pp. 5691-5711 ◽

Cited By ~ 2

Author(s):

Tingting Li ◽

Youming Guo

Keyword(s):

Mathematical Model ◽

Optimal Control ◽

Maximum Principle ◽

Control Strategy ◽

Reproduction Number ◽

Direct Transfer ◽

Online Game ◽

Optimal Control Strategy ◽

Game Addiction ◽

The Basic Reproduction Number

In this paper, we construct an online game addiction model(including susceptible, infective, professional and quitting compartments). We also consider that the direct transfer from the susceptible individuals to the professional individuals. Some properties of the model are derived by the basic reproduction number R0 and stability of all kinds of equilibria is obtained. Then we use Pontriagin?s maximum principle to solve the optimal control strategy. Finally, Numerical simulations are also conducted in the analytic results.

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Evaluation of a home-based 7-day infection control strategy for healthcare workers following high-risk exposure to SARS-CoV-2: a cohort study

10.1101/2020.11.05.20224618 ◽

2020 ◽

Author(s):

Carla Benea ◽

Laura Rendon ◽

Jesse Papenburg ◽

Charles Frenette ◽

Ahmed Imcaoudene ◽

...

Keyword(s):

High Risk ◽

Infection Control ◽

Control Strategy ◽

Healthcare Workers ◽

Control Strategies ◽

Risk Exposure ◽

Nasopharyngeal Swab ◽

Post Exposure ◽

Home Based ◽

Second Wave

ABSTRACTBackgroundEvidence-based infection control strategies are needed for healthcare workers (HCWs) following high-risk exposure to SARS-CoV-2. This study evaluated the negative predictive value (NPV) of a home-based 7-day infection control strategy.MethodsHCWs advised by their Infection Control or Occupational Health officer to self-isolate due to a high-risk SARS-CoV-2 exposure were enrolled between May-September 2020. The strategy consisted of symptom-triggered nasopharyngeal SARS-CoV-2 RNA testing from day 0-6 post exposure, followed by standardized home-based nasopharyngeal swab and saliva testing on day 7. The NPV of this strategy was calculated for i) clinical COVID-19 diagnosis from day 8-14 post exposure, and for ii) asymptomatic SARS-CoV-2 detected by standardized nasopharyngeal swab and saliva specimens collected at days 9-10 and 14 post exposure. Interim results are reported in the context of a second wave threatening this essential workforce.ResultsAmong 30 HCWs enrolled to date (age 31±9 years, 24 [80.0%] female), 3 were diagnosed with COVID-19 by day 14 post exposure (secondary attack rate 10.0%), with all cases detected by the 7-day infection control strategy: NPV for subsequent clinical COVID-19 or asymptomatic SARS-CoV-2 detection by day 14 was 100.0% (95%CI: 93.1-100.0%).InterpretationAmong HCWs with high-risk exposure to SARS-CoV-2, a home-based 7-day infection control strategy may have a high NPV for subsequent COVID-19 and asymptomatic SARS-CoV-2 detection. While ongoing data collection and data sharing are needed to improve the precision of the estimated NPV, we report interim results to inform infection control strategies in light of a second wave threatening this essential workforce.

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Optimal control and stability analysis of an online game addiction model with two stages

Mathematical Methods in the Applied Sciences ◽

10.1002/mma.6200 ◽

2020 ◽

Cited By ~ 1

Author(s):

Youming Guo ◽

Tingting Li

Keyword(s):

Optimal Control ◽

Stability Analysis ◽

Online Game ◽

Game Addiction ◽

Two Stages

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Optimal control of an online game addiction model with positive and negative media reports

Journal of Applied Mathematics and Computing ◽

10.1007/s12190-020-01451-3 ◽

2020 ◽

Author(s):

Tingting Li ◽

Youming Guo

Keyword(s):

Optimal Control ◽

Online Game ◽

Game Addiction ◽

Media Reports

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Dynamics and optimal control of an online game addiction model with considering family education

AIMS Mathematics ◽

10.3934/math.2022208 ◽

2021 ◽

Vol 7 (3) ◽

pp. 3745-3770

Author(s):

Youming Guo ◽

◽

Tingting Li ◽

Keyword(s):

Optimal Control ◽

Control Strategy ◽

Rank Correlation ◽

Latin Hypercube Sampling ◽

Control Measures ◽

Family Education ◽

Online Game ◽

Optimal Control Strategy ◽

Game Addiction ◽

Existence And Stability

<abstract><p>The problem of online game addiction among teenagers is becoming more and more serious in many parts of the world. Many of them are addicted to online games due to the lack of family education, which is an important factor that can not be ignored. To explore the optimal strategy for controlling the spread of game addiction, a new dynamic model of teenagers' online game addiction with considering family education is developed. Firstly, we perform a qualitative dynamic analysis of the model. We study the nonnegativity and boundedness of solutions, the basic reproduction number $ R_{0} $, and the existence and stability of equilibria. We then consider a model with control measures of family education, isolation and treatment, and obtain the expression of optimal control. In the numerical simulation, we study the global sensitivity analysis by the combination of Latin Hypercube Sampling (LHS) and partial rank correlation coefficient (PRCC) techniques, and show the relationship between $ R_{0} $ and each parameter. Then the forward backward sweep method with fourth order Runge-Kutta is used to simulate the control strategy in each scenario. Finally, the optimal control strategy is obtained by comparing incremental cost-effectiveness ratio (ICER) and infection averted ratio (IAR) under all strategies. The results show that with sufficient financial resources, adding the family education measures can help more teenagers avoid being addicted to games and control the spread of game addiction more effectively.</p></abstract>

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High School Students Understanding of the Risks of Online Game Addiction

Journal of Educational and Learning Studies ◽

10.32698/0772 ◽

2019 ◽

Vol 2 (2) ◽

pp. 113

Author(s):

Eryzal Novrialdy ◽

Herman Nirwana ◽

Riska Ahmad

Keyword(s):

High School ◽

High School Students ◽

School Counselors ◽

Sampling Technique ◽

Online Games ◽

Average Score ◽

Online Game ◽

School Students ◽

Game Addiction ◽

Use Of Technology

Adolescents are currently in the midst of technological sophistication, which is very helpful for its development. On the other hand, many adolescents are trapped in the problem of technology addiction. Adolescents are the most age group who experience problems with the use of technology, including online games. Online game addiction is the loss of control over the use of online games, which makes other daily activities are disrupted. Online game addiction in adolescents have an impact on several aspects of life, such as health aspects, psychological aspects, academic aspects, social aspects, and financial aspects. Lack of understanding about the risks of online game addiction can get adolescent stuck in online game addiction. This research aims to describe high school students understanding about the risks of online game addiction. The sample consisted of 255 high school students selected by proportional random sampling technique. Data was collected using a scale measuring understanding of the risks of online game addiction. Data analysis used a quantitative approach with descriptive methods. The results showed that high school students understanding about the risks of online game addiction was included in the moderate category with an average score of 198,48 and an achievement score level of 55,14%. Therefore, school counselors must to improve high school students understanding of the risks of online game addiction.

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