基于抗病毒治療與艾滋病疫情關(guān)聯(lián)的統(tǒng)計模型研究
[Abstract]:AIDS is a popular public health and social problem in the world, and all countries in the world use anti-virus therapy to deal with the hazards of AIDS. The current treatment work has an important effect on the control of the AIDS epidemic situation, and the treatment can reduce the viral load (VL) of the individual so as to reduce the chance of the transmission of the AIDS virus, and the morbidity and the mortality of the AIDS patients are obviously reduced, The immune function of the patient was reconstructed and the quality of life was improved. On the other hand, from the long-term effect, high-efficiency reverse transcription can only control the active replication of the virus, and can not completely remove the virus in the infected person, and can take the medicine for a long time or for a long time. The toxic and side effects of long-term or long-term administration not only reduce the quality of life of the patient, but also can produce a wide range of drug resistance, and the treatment prolongs the life of the patient and improves the health condition of the body, thereby increasing the possibility of the transmission of the HIV (HIV) to other people. Therefore, whether the anti-virus therapy (ART) for HIV is in favor of (or unfavorable to) the control of the HIV epidemic, or under what conditions is the control of the benefit of the epidemic is the current challenging field of research on the relationship between the ART and the epidemic control of the HIV-individual. This study is based on previous studies of HIV-based immune-viral dynamics and pharmacokinetic models, and the introduction of individual VL changes from long-term treatment will have an impact on the therapeutic effect and the epidemic. The antiviral therapy not only improves the survival time of the patient, but also reduces the disease progression risk after the diagnosis, and finally has a significant effect on the whole natural process of the HIV infection. In the long-term treatment strategies of different high-efficiency antiretroviral therapy (HAART), the balance of how to control the associated side effects of treatment and the risk of a disease is our focus. the first part, the individual vl mode of the art, Type. In order to carefully assess the side effects of treatment and the disadvantages of continuous (or intermittent) treatment, we have improved the traditional HIV dynamics model, introducing the desired life, therapeutic utility, drug resistance, and sensitivity to the progress of viral infection. The optimal initial treatment time, the replacement protocol time, the optimal CD4 count threshold, the duration, the resistance and the compliance of the treatment regimen, the progress of the viral load and the model of the different treatment strategies were studied using a series of methods including different iterative dynamics simulations. The relationship between the concentration and effect of the individual drug in different dosage forms was studied by the model of the relationship between the dose-effect relationship and the pharmacokinetics and the pharmacokinetics of the drug, and the development of the number of VL, healthy or infected CD4 + T cells in the infected individuals was analyzed, and the key parameters of the model were determined. On the basis of this, the complex model of the micro-dynamics and the macro-epidemic situation was established, and the dynamic behavior of the composite model was studied by the method of theoretical analysis and numerical simulation. The preventive intervention measures and the effectiveness of different treatment measures were discussed, and the development trend of the HIV epidemic was predicted. The second part, the AIDS epidemic estimating macro-system In this part, we focus on the effects of anti-virus therapy on the development of the epidemic, and introduce the treatment initiation time, drug resistance, drug effect and so on in the macroscopic dynamic model. and to study the phase between them Interaction. This part has set up a bridge that reflects the micro-dynamics of the virus and the macro-infection model, and this bridge is used to study the anti-virus treatment of individual level and the infection rate of HIV in China. The influence of RHS and partial rank correlation coefficient (PRCCs) was used to check the independence of the number of regeneration (R0) and the partial rank correlation coefficient (PRCMs). Sensitivity, it was found that the effects of the epidemic and R0 could have an impact on the year 2015 Parameters. At the same time, according to the level of CD4 in the blood, we divide the infected person and the patient into different stages and use the mathematical model table for the process and structure of the anti-virus treatment It can prove that when Rol is, the equilibrium point of the disease is global and stable, and when Rol, the disease will be held. continued. We have studied the effect of ART in two different cases: ART is performed immediately upon diagnosis and ART is performed only when the CD4 level is lower than 350/ uL (this is current Treatment policy). The treatment of a disease is found to have a threshold for health. If the spread force (VL) of the disease is below this value, the effect of ART immediately after the diagnosis is better than the current treatment policy; however, if the VL of the disease is greater than this, The current treatment policy will be better than immediate if you have a good value. The results of the study are also suggestive of new information: if the disease is relatively low in infectivity (i.e., a relatively good therapeutic effect), it is possible to expand the coverage of ART to reduce the number of regenerations of the virus and the new HIV infection rate; however, if the disease is infectious The increase in the coverage of ART, when relatively high, will result in an increase in the number of new HIV infections, as well as in the transmission of the opposite sex It's the same. So, if the ART effect is relatively good, then take immediate treatment, or the current treatment The policy is more reasonable. With the data of the epidemic of MSM, we get the estimated value of the number of regeneration and the value of the intervention parameter. The number of the high-risk population was 3.88 (95% CI 3.69-4.07), and it was found that the propagation coefficient {0} was much higher than that of the opposite sex. The high-risk population was spread. In addition, the study found that the HIV diagnostic rate of the MSM population is much lower At the same time, the treatment coverage of MSM is lower than that of the national survey, and the simulation results show that the strengthening of high-risk population education and the increase of monitoring and detection intensity can be reduced The propagation speed of low disease can be reduced according to the infection of the disease and the behavior of the infected person (the patient), and the treatment coverage rate can be reduced by H. New infections in the IV. The sensitivity analysis indicated that the most important parameters for the effect of treatment were infection rate%0 and the patient's disease phase High-efficiency drugs can reduce the rate of spread of each high-risk behavior of people living with HIV and enhance education to reduce the rate of exposure to HIV patients and to increase The rate of use of condoms means that high-efficiency drugs and timely education can be effectively controlled. In this study, we also analyze and forecast the AIDS epidemic in Yunnan province by using the trend surface analysis, space self-correlation analysis and regression analysis of the space-time model, and the geographical distribution of many factors can lead to different HIV/ AIDS in different areas. The distribution, such as the distribution of the railway, the distribution of the intravenous drug users, the distribution of the commercial sex, and the like, can be further obtained through the model analysis, The main innovative point of this paper is to consider the effect of the progress of the individual viruses brought by the long-term treatment on the drug concentration, the therapeutic effect and the epidemic situation of the body in the model. The effect of the change of the selection, coverage rate and individual/ average viral load on the HIV infection and mortality was discussed. Based on the high-risk population cohort and the national HIV epidemic and the laboratory's actual data, the Bayes statistical inference was used. The parameter estimation of the model is carried out, and the basic regeneration number (R0) of HIV transmission in the current MSM population in China is estimated, and the sensitivity is evaluated. The image of each parameter pair R0 is obtained.
【學(xué)位授予單位】:南京醫(yī)科大學(xué)
【學(xué)位級別】:博士
【學(xué)位授予年份】:2013
【分類號】:R512.91
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