Mathematical Modeling and Optimal Control of the Hand Foot Mouth Disease Affected by Regional Residency in Thailand

被引:10
作者
Wongvanich, Napasool [1 ]
Tang, I-Ming [2 ]
Dubois, Marc-Antoine [3 ]
Pongsumpun, Puntani [4 ]
机构
[1] King Mongkuts Inst Technol Ladkrabang, Sch Engn, Dept Instrumentat & Control Engn, Bangkok 10520, Thailand
[2] Mahidol Univ, Dept Phys, Fac Sci, Bangkok 10400, Thailand
[3] CREATE 132 Route Havre Vanlee, F-50270 Bricqueville Sur Mer, France
[4] King Mongkuts Inst Technol Ladkrabang, Sch Sci, Dept Math, Bangkok 10520, Thailand
关键词
hand foot mouth disease; optimal control; epidemiological control; regional residency; EPIDEMIC MODELS; ZIKA VIRUS; INFECTION; SPREAD;
D O I
10.3390/math9222863
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
Hand, foot and mouth disease (HFMD) is a virulent disease most commonly found in East and Southeast Asia. Symptoms include ulcers or sores, inside or around the mouth. In this research, we formulate the dynamic model of HFMD by using the SEIQR model. We separated the infection episodes where there is a higher outbreak and a lower outbreak of the disease associated with regional residency, with the higher level of outbreak occurring in the urban region, and a lower outbreak level occurring in the rural region. We developed two different optimal control programs for the types of outbreaks. Optimal Control Policy 1 (OPC1) is limited to the use of treatment only, whereas Optimal Control Policy 2 (OPC2) includes vaccination along with the treatment. The Pontryagin's maximum principle is used to establish the necessary and optimal conditions for the two policies. Numerical solutions are presented along with numerical sensitivity analyses of the required control efforts needed as the control parameters are changed. Results show that the time tmax required for the optimal control effort to stay at the maximum amount umax exhibits an intrinsic logarithmic relationship with respect to the control parameters.
引用
收藏
页数:30
相关论文
共 52 条
[1]  
[Anonymous], 2011, A Guide to Clinical Management and Public Health Response for Hand, Foot and Mouth Disease (HFMD)
[2]   SIS and SIR Epidemic Models Under Virtual Dispersal [J].
Bichara, Derdei ;
Kang, Yun ;
Castillo-Chavez, Carlos ;
Horan, Richard ;
Perrings, Charles .
BULLETIN OF MATHEMATICAL BIOLOGY, 2015, 77 (11) :2004-2034
[3]   Perspectives on the role of mobility, behavior, and time scales in the spread of diseases [J].
Castillo-Chavez, Carlos ;
Bichara, Derdei ;
Morin, Benjamin R. .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2016, 113 (51) :14582-14588
[4]   The Modelling of Hand, Foot, and Mouth Disease in Contaminated Environments in Bangkok, Thailand [J].
Chadsuthi, Sudarat ;
Wichapeng, Surapa .
COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE, 2018, 2018
[5]   Risk factors of enterovirus 71 infection and associated hand, foot, and mouth disease/herpangina in children during an epidemic in Taiwan [J].
Chang, LY ;
King, CC ;
Hsu, KH ;
Ning, HC ;
Tsao, KC ;
Li, CC ;
Huang, YC ;
Shih, SR ;
Chiou, ST ;
Chen, PY ;
Chang, HJ ;
Lin, TY .
PEDIATRICS, 2002, 109 (06) :e88
[6]   SIR Model for Dengue Disease with Effect of Dengue Vaccination [J].
Chanprasopchai, Pratchaya ;
Tang, I. Ming ;
Pongsumpun, Puntani .
COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE, 2018, 2018
[7]   Effect of Rainfall for the Dynamical Transmission Model of the Dengue Disease in Thailand [J].
Chanprasopchai, Pratchaya ;
Pongsumpun, Puntani ;
Tang, I. Ming .
COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE, 2017, 2017
[8]  
Chin S., 2018, The ASEAN Post
[9]  
D. Bureau of Epidemiology and MoPH, 2019, HAND FOOT MOUTH DIS
[10]  
D. Bureau of Epidemiology and MoPH, 2017, HAND FOOT MOUTH DIS