The Influence of Education Campaign on Control Spread of Hepatitis B Virus Disease: A Case Study in Phuket Province, Thailand
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บทคัดย่อ
This research aims to study and analyze the stability of mathematical models for controlling the spread of hepatitis B virus disease in the Education Campaign in Phuket Province, Thailand. We analyze the model using standard methods, focusing on the equilibrium point, the stability of these points, and analytical solutions. The rate of Education Campaigns for the spread of the hepatitis B virus in mathematical modelling and numerical solutions is studied. The results of the mathematical model analysis revealed that the rate of Education Campaigns for the spread of hepatitis B virus is a factor that affects the basic reproductive number on mathematical modelling, and the rate of Education Campaigns with higher values results in a lower basic reproductive number. Therefore, the rate of Education Campaigns is the factor affecting mathematical modelling, if the population has an Education Campaign and follows the hypothesis, then the spread of the hepatitis B virus decreases until there is no epidemic.
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Al-Darraji, H.A.A., Altice, F.L., Kamarulzaman, A. (2016). Undiagnosed pulmonary tuberculosis among prisoners in Malaysia: an overlooked risk for tuberculosis in the community. Tropical Medicine and International Health, 21 (8), 1049-1058.
Anderson, R.M., May, R.M. (1991). Infectious diseases of humans: dynamics and control. Oxford, Oxford University Press.
A. d'Onofrio. (2002). Pulse vaccination strategy in the SIR epidemic model: Global asymptotic stable eradication in presence of vaccine failures. Mathematical Biosciences, 36 (4/5), 473–489.
Bureau of Epidemiology. (2016). Chickenpox. Retrieved from http://rnnvw. boe.moph. go.th /facchickenpox.
Earn, D.J., Brauer, F., van den Driessche, P., Wu, J. (2008). Mathematical epidemiology. Canada: Springer Verlag Berlin Heidelberg.
Fred Brauer, Pauline den Driessche and Jianhong Wu (Eds.). (2008). Mathematical Epidem iology. Vancouver, B.C. V6T 1Z2, Canada: Springer Verlag Berlin Heidelberg.
Jirawattanapanit, A. (2019). A Mathematical model for the Campaign Prevent on the Transmission of Patientswith Conjunctivitis. Phuket Rajabhat University Academic Journal, 15(1), 20-43.
Jirawattanapanit, A. (2021). Mathematical Model for Controlling the Spread of Hepatitis B Virus by Education Campaign. PKRU SciTech Journal, 5 (2), 1-16.
Kermack, W.O., McKendrick, A.G. (1927). A Contribution to the Mathematical Theory of Epidemics. Proc. Roy. Soc. Lond. A. Proceedings of the Royal Society of London, 115, 700–721.
Kribs-Zaleta, C.M., Valesco-Hernndez, J.X. (2000). A simple vaccination model with multiple endemic states. Mathematical Biosciences, 164 (2), 183–201.
Michael Uchenna, Offia Akachukwu, Elebute Kafayat. (2019). Control Model on Transmission Dynamic of Conjunctivitis During Harmattan in Public Schools. Applied and Computational Mathematics, 8 (2), 29-36.
Naowarat, S., Tawarat, W., & Tang, I.M., (2011). Control of the Transmission of Chikungunya Fever Epidemic Through the use of Adulticide. Science Publication, 6, 558-565.
Prihutami, L. (2009). Stability Analysis of Tuberculosis Transmission Model. Semarang, Indonesia: Diponegoro University.
Sayooj Aby Jose, R. Raja, Q. Zhu, J. Alzabut, M. Niezabitowski, Valentina E. Balas. (2022). Impact of Strong Determination and Awareness on Substance Addictions: A Mathematical Modeling Approach, Mathematical Methods in the Applied Sciences, 45 (8), 4140-4160.
Sangthongjeen, S., Sudchumnong, A., Naowarat, S. (2015). Effect of Educational Campaign on Transmissions Model of Conjunctivitis. Australia Journal of Basis and Applied Science, 9 (7), 811–815.
Sukawat, J., Naowarat, S. (2014). Effect of Rainfall on the transmission Model of Conjunc tivitis. Advanced in Environmental Biology, 8 (14), 99–104.