Modeling and Control for HIV/AIDS Transmission in China Based on Data from 2004 to 2016

HIV is one of the major life-threatening viruses that are spreading in the People's Republic of China (China for short). A susceptible-exposed in the latent stage-infectious (SEI) model is established to sketch the evolution of epidemic. The basic reproduction number is defined. By constructing Lyapunov function, globally asymptotical stabilities of the disease-free and endemic equilibria are given. Then, optimal control theory is applied in HIV/AIDS epidemic. Precaution, screening, and treatment of control variables are introduced and a new model with control is established. Through the HIV/AIDS data in China, all parameters involved in SEI model are analyzed and parts of them are estimated. Further, by control model, optimal strategy is obtained. Results show that the precaution and treatment are the major contributors to preventing and controlling HIV/AIDS epidemic.

[1]  Ning Wang,et al.  Rates and risk factors associated with the progression of HIV to AIDS among HIV patients from Zhejiang, China between 2008 and 2012 , 2015, AIDS Research and Therapy.

[2]  Jeffrey C. Lagarias,et al.  Convergence Properties of the Nelder-Mead Simplex Method in Low Dimensions , 1998, SIAM J. Optim..

[3]  Kong‐lai Zhang,et al.  Epidemiology of HIV in China , 2002, BMJ : British Medical Journal.

[4]  Nicolas Bacaer,et al.  Modeling the HIV/AIDS Epidemic Among Injecting Drug Users and Sex Workers in Kunming, China , 2006, IMECS.

[5]  W. Marsden I and J , 2012 .

[6]  Yong Han Kang,et al.  Stability analysis and optimal vaccination of an SIR epidemic model , 2008, Biosyst..

[7]  M. L. Chambers The Mathematical Theory of Optimal Processes , 1965 .

[8]  Ning Wang,et al.  Tracking the Evolution of HIV/AIDS in China from 1989–2009 to Inform Future Prevention and Control Efforts , 2011, PloS one.

[9]  K Renee Fister,et al.  Immunotherapy: an optimal control theory approach. , 2005, Mathematical biosciences and engineering : MBE.

[10]  J. Janssen,et al.  Deterministic and Stochastic Optimal Control , 2013 .

[11]  R. Ho,et al.  HIV/AIDS-related deaths in China, 2000–2012 , 2015, AIDS care.

[12]  Kevin Barraclough,et al.  I and i , 2001, BMJ : British Medical Journal.

[13]  E. A. Bakare,et al.  Optimal Control Analysis of an SIR Epidemic Model with Constant recruitment , 2014 .

[14]  Zhou Yi-cang Dynamic models to predict future HIV/AIDS prevalence in China , 2003 .

[15]  Bin Xue,et al.  HIV/AIDS policy and policy evolution in China , 2005, International journal of STD & AIDS.

[16]  Who Collaborating New Explanations to ICD-10 Coding Standard for HIV/AIDS Clinical Stages and Coding Principle for its Complications , 2009 .

[17]  Antonio Mastroberardino,et al.  Mathematical modeling of the HIV/AIDS epidemic in Cuba , 2015 .

[18]  Y. Kuang Delay Differential Equations: With Applications in Population Dynamics , 2012 .

[19]  Yanni Xiao,et al.  Modelling HIV/AIDS Epidemic among Men Who Have Sex with Men in China , 2013, BioMed research international.

[20]  Hai-Feng Huo,et al.  Stability of an HIV/AIDS Treatment Model with Different Stages , 2015 .

[21]  Holly Gaff,et al.  Optimal control applied to vaccination and treatment strategies for various epidemiological models. , 2009, Mathematical biosciences and engineering : MBE.

[22]  D. Kirschner,et al.  Optimal control of the chemotherapy of HIV , 1997, Journal of mathematical biology.

[23]  Yanni Xiao,et al.  Modeling Saturated Diagnosis and Vaccination in Reducing HIV/AIDS Infection , 2014 .

[24]  J. Chermann,et al.  Isolation of a T-lymphotropic retrovirus from a patient at risk for acquired immune deficiency syndrome (AIDS). , 1983, Science.

[25]  Yu Wang,et al.  Evolution of China's response to HIV/AIDS , 2007, The Lancet.

[26]  Nizar Marcus,et al.  Application of optimal control to the epidemiology of malaria , 2012 .

[27]  F. B. Agusto,et al.  Optimal control of a two-strain tuberculosis-HIV/AIDS co-infection model , 2014, Biosyst..

[28]  Tailei Zhang,et al.  Study on a HIV/AIDS model with application to Yunnan province, China , 2011 .

[29]  Peng Xu,et al.  Evolution of information-driven HIV/AIDS policies in China , 2010, International journal of epidemiology.