Dynamic modelling of the impact of public health education on the control of emerging infectious disease

Liu, Guihua; Dong, Yijing

doi:10.1080/17513758.2019.1639835

Cited by 9 publications

(8 citation statements)

References 25 publications

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“…Note that Table 3 confirms that public health education may affect the epidemic threshold, which agrees with Nyang'inja et al 12 and Li and Dong. 13 Also our results agree with the results of Garira and Tchuenche 17 that the combination of control measures should include education to ensure best disease control. Finally, we have proved that both early and late education are important in reducing the number of infected cases, which agrees with Al-arydah and Smith.…”

Section: Discussionsupporting

confidence: 91%

“…Due to shortage of literature numerical simulation on HPV educated and uneducated, we will compare our results with educated and uneducated for different disease research results. Note that Table 3 confirms that public health education may affect the epidemic threshold, which agrees with Nyang'inja et al 12 and Li and Dong 13 . Also our results agree with the results of Garira and Tchuenche 17 that the combination of control measures should include education to ensure best disease control.…”

Section: Discussionsupporting

confidence: 90%

“…The use of mathematical models 12 shows that public health education is a very effective control measure to eradicate jigger pests in endemic communities. Li and Dong 13 use mathematical models to study the overall impact of mass communication and interpersonal communication on disease spread and disease control during transmission. The analysis of the study confirms the value of various educational activities and shows that public health education may affect the epidemic threshold.…”

Section: Introductionmentioning

confidence: 99%

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Mathematical modeling for relation between parents' health education and vaccine uptake

Al-arydah

2022

Math Methods in App Sciences

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We formulate susceptible–infectious–susceptible (SIS) mathematical models to assess health education roles in enhancing human papillomavirus (HPV) vaccines uptake in both childhood and adult ages. The model is considered in logistically growing populations. We derive the basic reproduction number for the model and use it to describe the local‐asymptotic stability of the disease‐free equilibrium (DFE). The contribution of educated and uneducated in basic reproduction number is estimated too. We estimate the time series solution of the model for uneducated, low educated and high educated scenarios. The higher the education level the more the vaccine uptake, the less the risky behavior, and the shorter the time needed to control HPV. Late education for adults is more effective than early education for children as late education is applied with vaccine and that could increase vaccine uptake for parents and their kids. Moreover, we introduce an optimal problem to search for the best introduction of early and late educations that maximize the vaccines uptake and control HPV with the least possible cost. In the time period 20 years, the time‐dependent optimal educations are as follows: Full coverage of early education for the full period regardless of vaccine efficacy used. This needs to be supported with maximum education rate (one unit) for the first 13 years for vaccine with 90% efficacy, which needs to be extended for three more years when vaccine efficacy is reduced to 65%. The optimal educations have almost the same cost and the same effect in reducing HPV cases regardless of vaccine efficacy. This means that increasing health education is a viable low‐cost strategy to support vaccines that have low efficacy.

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Section: Discussionsupporting

confidence: 91%

Section: Discussionsupporting

confidence: 90%

Section: Introductionmentioning

confidence: 99%

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Mathematical modeling for relation between parents' health education and vaccine uptake

Al-arydah

2022

Math Methods in App Sciences

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“…According to the cumulative foreground (CF) theory, the foreground value of the emergency decision plan for PHEs is correlated with the value function [28] . The calculation method of the value function was given in below equation:

…”

Section: Methodsmentioning

confidence: 99%

Scenario prediction of public health emergencies using infectious disease dynamics model and dynamic Bayes

Gao

Wang

2022

Future Generation Computer Systems

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This study was aimed to discuss the predictive value of infectious disease dynamics model (IDD model) and dynamic Bayesian network (DBN) for scenario deduction of public health emergencies (PHEs). Based on the evolution law of PHEs and the meta-scenario representation of basic knowledge, this study established a DBN scenario deduction model for scenario deduction and evolution path analysis of PHEs. At the same time, based on the average field dynamics model of the SIR network, the dimensionality reduction process was performed to calculate the epidemic scale and epidemic time based on the IDD model, so as to determine the calculation methods of threshold value and epidemic time under emergency measures (quarantine). The Corona Virus Disease (COVID) epidemic was undertaken as an example to analyze the results of DBN scenario deduction, and the infectious disease dynamics model was used to analyze the number of reproductive numbers, peak arrival time, epidemic time, and latency time of the COVID epidemic. It was found that after the M1 measure was used to process the S1 state, the state probability and the probability of being true (T) were the highest, which were 91.05 and 90.21, respectively. In the sixth stage of the development of the epidemic, the epidemic had developed to level 5, the number of infected people was about 26, and the estimated loss was about 220 million yuan. The comprehensive cumulative foreground (CF) values of O1 O3 schemes were -1.34, -1.21, and -0.77, respectively, and the final CF values were -1.35, 0.01, and -0.08, respectively. The final CF value of O2 was significantly higher than the other two options. The household infection probability was the highest, which was 0.37 and 0.35 in Wuhan and China, respectively. Under the measures of home quarantine, the numbers of confirmed cases of COVID in China and Wuhan were 1.503 (95% confidential interval (CI) = 1.328 1.518) and 1.729 (95% CI = 1.107 1.264), respectively, showing good fits with the real data. On the 21st day after the quarantine measures were taken, the number of COVID across the country had an obvious peak, with the confirmed cases of 24495, and the model prediction value was 24085 (95% CI = 23988 25056). The incubation period 1/q was shortened from 8 days to 3 days, and the number of confirmed cases showed an upward trend. The peak period of confirmed cases was advanced, shortening the overall epidemic time. It showed that the prediction results of scenario deduction based on DBN were basically consistent with the actual development scenario and development status of the epidemic. It could provide corresponding decisions for the prevention and control of COVID based on the relevant parameters of the infectious disease dynamic model, which verified the rationality and feasibility of the scenario deduction method proposed in this study.

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“…More than that, introducing and encouraging clean and healthy living behavior from an early age can form sustainable habits into adulthood, reduce the burden of disease in society, and extend life expectancy. Therefore, education about the importance of clean and healthy living behavior needs to be integrated into the school curriculum, accompanied by the provision of supportive facilities, as well as an approach that actively involves students in making decisions about their own health [25]- [27].…”

Section: Introductionmentioning

confidence: 99%

Assessment: The Effectiveness of Video Media Through the Tiktok Application on Teenagers' Knowledge About Clean and Healthy Living Behavior at Junior High School Level

Doelvia,

Hien,

Rathee

2023

Jor. Eva. Edu

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Purpose of the study: The purpose of this research is to evaluate the effectiveness of video media through the TikTok application in increasing teenagers' knowledge about Clean and Healthy Living Behavior at the junior high school level. Methodology: This research method is quantitative, using a questionnaire as the main instrument for collecting data which is distributed to students. The collected data was then analyzed using descriptive and inferential statistical techniques to evaluate the relationship between the use of TikTok video media and teenagers' knowledge about Clean and Healthy Living Behavior. Main Findings: The results of this research are that the use of video media through the TikTok application significantly increases teenagers' knowledge about Clean and Healthy Living Behavior at the Junior High School level. These findings demonstrate the great potential of the use of social media platforms in increasing adolescent health awareness and emphasize the importance of further exploration of innovative health education approaches. Novelty/Originality of this study: The novelty of this research lies in exploring the effectiveness of using video media through the TikTok application in increasing teenagers' knowledge about Clean and Healthy Living Behavior at the Junior High School level, which highlights the importance of adapting health education strategies to developing digital trends.

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Dynamic modelling of the impact of public health education on the control of emerging infectious disease

Cited by 9 publications

References 25 publications

Mathematical modeling for relation between parents' health education and vaccine uptake

Mathematical modeling for relation between parents' health education and vaccine uptake

Scenario prediction of public health emergencies using infectious disease dynamics model and dynamic Bayes

Assessment: The Effectiveness of Video Media Through the Tiktok Application on Teenagers' Knowledge About Clean and Healthy Living Behavior at Junior High School Level

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