A Collocation Technique via Pell-Lucas Polynomials to Solve Fractional Differential EquationModel for HIV/AIDS with Treatment Compartment

In this study,a numerical method based on the Pell-Lucas polynomials(PLPs)is developed to solve the fractional order HIV/AIDS epidemic model with a treatment compartment.The HIV/AIDS mathematical model with a treatment compartment is divided into five classes,namely,susceptible patients(S),HIV-positive individuals(I),individuals with full-blown AIDS but not receiving ARV treatment(A),individuals being treated(T),and individuals who have changed their sexual habits sufficiently(R).According to the method,by utilizing the PLPs and the collocation points,we convert the fractional order HIV/AIDS epidemic model with a treatment compartment into a nonlinear system of the algebraic equations.Also,the error analysis is presented for the Pell-Lucas approximation method.The aim of this study is to observe the behavior of five populations after 200 days when drug treatment is applied to HIV-infectious and full-blown AIDS people.To demonstrate the usefulness of this method,the applications are made on the numerical example with the help of MATLAB.In addition,four cases of the fractional order derivative(p=1,p=0.95,p=0.9,p=0.85)are examined in the range[0,200].Owing to applications,we figured out that the outcomes have quite decent errors.Also,we understand that the errors decrease when the value of N increases.The figures in this study are created in MATLAB.The outcomes indicate that the presented method is reasonably sufficient and correct.

Application of a 2 Parameter Weibull Distribution in Modeling of State Holding Time in HIV/AIDS Transition Dynamics

This study investigates the application of the two-parameter Weibull distribution in modeling state holding times within HIV/AIDS progression dynamics. By comparing the performance of the Weibull-based Accelerated Failure Time (AFT) model, Cox Proportional Hazards model, and Survival model, we assess the effectiveness of these models in capturing survival rates across varying gender, age groups, and treatment categories. Simulated data was used to fit the models, with model identification criteria (AIC, BIC, and R2) applied for evaluation. Results indicate that the AFT model is particularly sensitive to interaction terms, showing significant effects for older age groups (50 - 60 years) and treatment interaction, while the Cox model provides a more stable fit across all age groups. The Survival model displayed variability, with its performance diminishing when interaction terms were introduced, particularly in older age groups. Overall, while the AFT model captures the complexities of interactions in the data, the Cox model’s stability suggests it may be better suited for general analyses without strong interaction effects. The findings highlight the importance of model selection in survival analysis, especially in complex disease progression scenarios like HIV/AIDS.

Mathematical Modeling of the Co-Infection Dynamics of HIV and Tuberculosis Incorporating Inconsistency in HIV Treatment

A non-linear HIV-TB co-infection has been formulated and analyzed. The positivity and invariant region has been established. The disease free equilibrium and its stability has been determined. The local stability was determined and found to be stable under given conditions. The basic reproduction number was obtained and according to findings, co-infection diminishes when this number is less than unity, and persists when the number is greater than unity. The global stability of the endemic equilibrium was calculated. The impact of HIV on TB was established as well as the impact of TB on HIV. Numerical solution was also done and the findings indicate that when the rate of HIV treatment increases the latent TB increases while the co-infected population decreases. When the rate of HIV treatment decreases the latent TB population decreases and the co-infected population increases. Encouraging communities to prioritize the consistent treatment of HIV infected individuals must be emphasized in order to reduce the scourge of HIV-TB co-infection.

基于Bayes时空模型分析HIV/AIDS晚发现的时空分布特征及其影响因素

【目的】旨在分析兰州市HIV/AIDS晚发现的时空聚集性特征及相关影响因素,明确兰州市HIV/AIDS晚发现高风险地区和时间趋势,为兰州市因地制宜地制定HIV/AIDS防治策略措施提供参考依据。【方法】选择兰州市2011-2018年间新报告的成年HIV/AIDS病例作为研究对象,研究中所需的数据资料来自兰州市疾病预防控制中心和兰州市统计年鉴。采用Bayes时空模型分析HIV/AIDS晚发现相对风险(RR)的时空分布特征及其影响因素。【结果】2011-2018年间兰州市新报告的HIV/AIDS病例共计1984例,其中HIV/AIDS晚发现者有982例(49.5%),平均年龄为39.67岁,男性占90.9%。老年人和女性HIV/AIDS病例中晚发现的比例更高;城关区(51.1%)、安宁区(50.3%)和榆中县(51.9%)具有高于平均水平的HIV/AIDS晚发现比例;2011-2018年间兰州市总体的晚发现比例呈波动上升趋势。Bayes时空模型分析结果显示,兰州市HIV/AIDS晚发现风险在2011-2015年间波动变化,而在2015年后迅速上升,其RR(95%CI)从1.01(0.84,1.23)上升到1.11(0.77,1.97);红古区和三个县的晚发现风险变化趋势与兰州市的总体变化趋势相似,而城关区和七里河区的晚发现风险呈下降趋势;晚发现相对风险大于1的区县包括:永登县(RR=1.07,95%CI:0.55,1.96)、西固区(RR=1.04,95%CI:0.67,1.49)、城关区(RR=2.41,95%CI:0.85,6.16)和七里河区(RR=2.03,95%CI:1.10,3.27)。冷热点分析结果显示城关区和七里河区为热点区。影响因素分析结果显示,随着人均GDP(RR=0.65,95%CI:0.35,0.90)和HIV/AIDS病例中的男性比例(RR=0.53,95%CI:0.19,0.92)的增高,HIV/AIDS晚发现的相对风险越低;而人口密度(RR=1.35,95%CI:1.01,1.81)越大,晚发现风险越高。【结论】兰州市的HIV/AIDS晚发现风险呈上升趋势,并且存在明显的地区差异特征;人均GDP、HIV/AIDS中男性比例和人口密度是HIV/AIDS晚发现的影响因素。因此,对于晚发现风险高和存在相关风险因素的区县,应重视并制定有针对性的HIV筛查和防治服务,降低HIV/AIDS晚发现比例和风险。

HIV/AIDS患者肠内营养治疗喂养不耐受发生风险预测模型的构建与验证

目的调查HIV/AIDS患者肠内营养治疗喂养不耐受的影响因素,建立列线图预测模型并进行验证。方法回顾性分析2015年1月1日至2021年9月30日南宁市第四人民医院收治的HIV/AIDS住院患者临床资料,通过二分类Logistic回归模型,探索HIV/AIDS患者肠内营养治疗喂养不耐受的危险因素,构建列线图预测模型并验证评价。结果共纳入174例HIV/AIDS患者,其中76例HIV/AIDS患者发生早期肠内营养喂养不耐受(43.68%)。多因素分析显示,平均动脉压≤80 mmHg[OR=2.822,95%CI(1.267,6.287)]、急性生理学与慢性健康状况评分Ⅱ>15分[OR=5.625,95%CI(1.435,22.048)]、机械通气应用[OR=5.459,95%CI(2.046,14.564)]、高效抗反转录病毒治疗[OR=2.428,95%CI(1.118,5.275)]、肌松剂应用[OR=3.833,95%CI(1.758,8.357)]、CD4^(+)T细胞计数≤200个·μL^(-1)[OR=3.785,95%CI(1.126,12.724)]、抗生素使用数量>2种[OR=2.365,95%CI(1.039,5.384)]是HIV/AIDS患者肠内营养治疗发生喂养不耐受的影响因素。列线图预测模型AUC值为0.849[95%CI(0.794,0.905)],最大约登指数为0.555时,最佳临界值为0.331,灵敏度为88.16%,特异度为67.35%;校准曲线、决策曲线评价模型具有较好的一致性及获益性。结论本研究构建的HIV/AIDS患者肠内营养治疗喂养不耐受风险预测模型可为医护人员快速识别HIV/AIDS患者喂养不耐受发生风险、及时采取预防性护理措施提供参考依据。

影响HIV感染者/AIDS患者心理健康状况的相关因素及护理干预措施研究

目的:分析影响人类免疫缺陷病毒(HIV)感染者/艾滋病(AIDS)患者心理健康状况的相关因素,探讨用于HIV感染者/AIDS患者的护理干预方案。方法:依据入院时间将本院收治的120例HIV感染者/AIDS患者分成对照组和观察组各60例,对照组采用常规护理干预,观察组应用心理护理干预;收集患者基线资料并进行心理健康状况影响因素分析;运用抑郁自评量表(SDS)、焦虑自评量表(SAS)、简化Berger艾滋病耻辱量表(BHSS)和社会支持评定量表(SSS)对患者进行心理健康状况评估并比较两组护理干预效果。结果:年龄大于50岁、家庭年收入小于5万元、已婚和病程在10年以上是影响HIV感染者/AIDS患者的高危因素(P<0.05);护理干预后,观察组患者的SAS、SDS、BHSS分数更低,SSS更高(P<0.05)。结论:影响HIV感染者/AIDS患者心理健康的因素较为多样化,及时干预避免抑郁情绪有利于提高患者的生活质量,促使其恢复正常生活。

Robust Model-Free Software Sensors for the HIV/AIDS Infection Process

This paper considers the problem of the HIV/AIDS Infection Process filtering characterized by three compounds, namely, the number of healthy T-cells, the number of infected T-cells and free virus particles. Only the first and third of them can be measurable during the medical treatment process. Moreover, the exact parameter values are admitted to be also unknown. So, here we deal with an uncertain dynamic model that excludes the application of classical filtering theory and requires the application of robust filters successfully working in the absence of a complete mathematical model of the considered process. The problem is to estimate the number of infected T-cells based on the available information. Here we admit the presence of stochastic “white noise” in current observations. To do that we apply the Luenberger-like filter (software sensor) with a matrix gain, which should be adjusted at the beginning of the process in such a way that the filtering error would be as less as possible using the Attractive Ellipsoid Method (AEM). It is shown that the corresponding trajectories of the filtering error converge to an ellipsoidal set of a prespecified form in mean-square sense. To generate the experimental data sequences in the test-simulation example, we have used the well-known simplified HIV/ AIDS model. The obtained results confirm the effectiveness of the suggested approach.

427例HIV/AIDS患者合并HCV感染的临床分析

目的探讨广西住院HIV/AIDS患者合并HCV感染现状及临床特点。方法回顾性分析2018—2022年在我院首次住院治疗的13142例HIV/AIDS患者合并HCV的感染率。收集HIV/AIDS合并HCV感染患者(HIV/HCV组)的一般及临床资料,探讨感染途径和直接抗病毒药物(direct-acting antivirals,DAAs)治疗情况;纳入354例同期收治单纯HCV感染者作为对照;分析2组患者重症肝病的发生率和重症肝病致死率。结果13142例HIV/AIDS患者中,427例合并HCV感染,感染率达3.25%。HIV/HCV组感染途径85.71%为异性性传播。与单纯HCV组相比,HIV/HCV组肝衰竭的发生率和重症肝病致死率更高(P均<0.05)。对51例HIV/AIDS合并HCV感染患者进行HCV基因分型:la型占19.61%、lb型占13.73%、2a型占3.92%、3a型占11.76%、3b型占17.65%、6a型占29.41%,6d型占1.96%、6e型占1.96%。427例患者中入院前接受DAAs治疗者仅占1.41%(6/427)。对106例未行DAAs治疗患者分析显示,农民占53.77%,城镇无固定职业者占34.91%;首次在我院检查发现抗-HCV阳性者占64.15%(68/106),院外已确证丙型肝炎多年的37例患者中,不愿意治疗者占83.78%(31/37)。结论广西HIV/AIDS患者合并HCV感染比例高,性传播是合并HCV感染的主要途径,HCV基因型以1、3、6型为主,HIV合并HCV感染易导致肝病重症化,可增加病死率,入院前接受DAAs治疗率很低。因此,对合并HCV感染的HIV/AIDS患者,应加强宣教,提高其依从性,应尽早进行DDAs治疗,改善其预后。

Investigation and Analysis on Pathogen Distribution of HIV/AIDS Patients with Opportunistic Infection

Objective: This study aims to understand the distribution of pathogenic bacteria in the region of HIV/AIDS patients with opportunistic infection. Methods: To count the number of the bacterial culture of HIV/AIDS patients in our hospital from October 2011 to December 2014, and observe the distribution of all kinds of pathogenic bacteria. Results: From the 4269 cases of HIV/AIDS patients’ bacteria, 5045 cases were cultured whose main flora distribution wasCandida albicans, 1759 cases. The second one was penicillium, 982 cases. The third one was mycobacteria, 557 cases. And then there are 213 cases ofCryptococcus neoformans, 212 cases of?Klebsiella pneumonia, 209 cases of?E. coli, 157 cases of coagulase-negative staphylococci, 112 cases of?Candida tropicalis, 90 cases of glabrata, 81 cases of?Staphylococcus aureus, 75 cases of?Pseudomonas aeruginosa, 60 cases of Salmonella, 48 cases of Acinetobacter and the distribution of the rest of cultured bacterial was less than 40 cases. Conclusion: There are many kinds of types of Pathogenic bacteria in HIV/AIDS patients with the opportunity to infectious. And the majorities are?Candida albicans,?Penicillium marneffei,?Penicillium,?Mycobacterium,?Cryptococcus neoformans?and so on. The infection sites are widely distributed;respiratory and circulatory are the main infected system. Improving the detection rate and reducing the contamination rate can truly reflect the distribution of pathogenic bacteria, and the distribution can guide the infection work in hospital. At the same time, it’s good to predict and prevent opportunistic infection. Thus, the patients can get immediate treatment.

Interferon γ in patients with HIV/AIDS and suspicion or latent tuberculosis infection

Objective:To assess the usefulness of IGRA test(QuantiFERON? -Cell mediated immune) compared with the tuberculin skin test.Methods:A cross-sectional study was carried out in Mexico,25 infected patients with HIV-AIDS and the suspicion or with latent tuberculous infection （LTBI） who were】18 years of age and without treatment for tuberculosis（TB）,were enrolled in the study.Results:Median cluster of differentiation（CD4） count was 364 cells/μL and median HIV viral load was 50 copies/mL.Overall,20 patients（80%） had at least one positive diagnostic test for LTBI:four（16%） had a positive tuberculin skin test and 19（76%）,a positive QuantiFERON ? -tuberculosis.Conclusions:No agreement is found between the two diagnostic tests:k = -0.004,95%confidence interval（-0.2219,0.2210）.Additional longitudinal studies among HIV-infected populations with high prevalence of TB are needed to further assess the usefulness of IGRAs in this patient population.

Optimal Control of an HIV/AIDS Epidemic Model with Infective Immigration and Behavioral Change

In order to find out the effect of human (sexual) behavior change and immigration in spreading the HIV/AIDS, a deterministic model of HIV/AIDS with infective immigration is formulated. First, basic properties of the model, including non-negativity and boundedness of the solutions, existence of the endemic equilibrium and the basic reproduction number, R0 are analyzed. The geometrical approach is used to obtain the global asymptotic stability of endemic equilibrium. Then the basic model is extended to include several control efforts aimed at reducing infection and changing behavior. Pontryagin’s maximum principle is used to derive the optimality system and solve the system numerically. Our numerical findings are illustrated through simulations using MATLAB, which shows reliability of our model from the practical point of view.

Characterization of Candida Species Isolated from Cases of Lower Respiratory Tract Infection among HIV/AIDS Patients in Calabar, Nigeria

This study was designed to identify and characterize the Candida species isolated from lower respiratory tract infections among HIV positive patients and to determine the prevalence rates of Candida infections among these subjects. Two early morning expectorate sputum samples were collected from 272 HIV positive subjects visiting the ART clinics and DOTS centre with cases of lower respiratory tract infection, over a period of 14 months from May 2009 to July 2010 in Calabar. Subjects were recruited for this study upon approval by the Ethical Research Committee of the University of Calabar Teaching Hospital and obtaining written informed consent from the patients. Samples were processed by standard methods for isolation of Candida. Speciation was done by a germ tube test, chlamydospore production on corn meal agar and sugar fermentation and assimilation tests using the Microexpress Candida identification kit (Tulip, India). Out of the 544 sputum samples collected from 272 subjects, Candida species were isolated from 40 (14.7%) and identified after confirming the growth in the second sample. The majority of Candida species among the Candida isolates were Candida albicans (80%) followed by Candida tropicalis 5 (12.5%), Candida dubliniensis 2 (5.0%) and Candida guilliermondii 1 (2.5%). The isolation rate of Candida species from sputum samples was found to be highest among subjects aged 25 - 34 years, followed by those aged 15 - 24 years. Twenty (7.3%) HIV seropositive subjects had bacterial infections, while 4 (1.5%) subjects had mixed fungal and bacterial infections. This study is the first of its kind to be carried out in Calabar and the South-South geopolitical region of Nigeria, and has shown that pulmonary candidiasis is a health problem among HIV positive patients in Calabar.

Cross-Sectional Study of Tuberculosis and HIV/AIDS Co-Infections among Patients Attending Directly Observed Treatment Centers in Bayelsa State, Nigeria

Introduction: Mycobacterium tuberculosis (TB) infects about one quarter of the global population and is transmitted via aerosols by coughing, sneezing, etc. Some socio-behavioral factors may predispose an individual to the disease. Methodology: The study used a cross-sectional design with random stratified sampling technique. Sputum samples from suspected TB patients totaling 600 were obtained from patients attending directly observed treatment (DOTs) centers from different local government areas in Bayelsa. The sputum samples were examined for tuberculosis using the Ziehl-Neelsen staining technique and Gene Xpert molecular method while HIV/AIDS tests were carried out with EDTA blood using the Alere HIV12 test kit and others. Results: The Prevalence of TB by Gene Xpert was 294 (49.0%) and by AFB 217 (36.1%), while TB/HIV co-infection was 94 (32.0%), RRMTB was 34 (11.9%) and HIV 249 (41.5%). Prevalence by age group showed the 20 - 39 years had the highest prevalence of TB 98 (47.0%), TB/HIV 35 (47.0%), RRMTB 17 (48.0%) and HIV 90 (57.0%). By gender the male had slightly higher prevalence of TB 109 (52.0%), TB/HIV 51 (54.0%), RRMTB 20 (56.0%) and HIV 126 (51.0%) than the female. Prevalence among smokers and alcoholics and subjects who engaged in both habits had high prevalence TB 109 (37.0%), TB/HIV 14 (40.0%), RRMTB 14 (40.0%) and HIV 72 (29.0%). For educational status those with tertiary and secondary education had similar high prevalence and for occupation, the self-employed and civil servants had similar elevated prevalence. The prevalence by local government area showed that Yenegoa had the highest with TB 235 (80.0%), TB/HIV 72 (76.6%), RRMTB 24 (68.5%) and HIV 202 (81.2%). Conclusion: An increase in the development of resistance by M. tuberculosis also contributes to the persistence of the disease as well as some socio-economic factors.

一类具有Dirichlet边界条件的年龄-空间结构HIV/AIDS传染病模型的动力学分析

为了探讨个体扩散、感染年龄和Dirichlet边界环境对HIV/AIDS时空传播动力学的影响,该文构建了一类具有齐次Dirichlet边界条件的年龄空间结构HIV/AIDS传染病动力学模型.首先,应用特征线方法,作者将模型转化为一个积分反应扩散方程模型.其次,作者给出模型基本再生数R_(0)的泛函表达式,并研究了以R_(0)为阈值的模型解的动力学行为.具体地,当R_(0)<1时,HIV/AIDS在人群中可以被消除;而当R_(0)>1时,HIV感染在人群中会持续存在.最后,在二维空间区域中作者通过数值模拟验证了文中理论结果.

Exploring the Impact of Factors Affecting the Lifespan of HIVs/AIDS Patient’s Survival: An Investigation Using Advanced Statistical Techniques

This study investigates the impact of various factors on the lifespan and diagnostic time of HIV/AIDS patients using advanced statistical techniques. The Power Chris-Jerry (PCJ) distribution is applied to model CD4 counts of patients, and the goodness-of-fit test confirms a strong fit with a p-value of 0.6196. The PCJ distribution is found to be the best fit based on information criteria (AIC and BIC) with the smallest negative log-likelihood, AIC, and BIC values. The study uses datasets from St. Luke hospital Uyo, Nigeria, containing HIV/AIDS diagnosis date, age, CD4 count, gender, and opportunistic infection dates. Multiple linear regression is employed to analyze the relationship between these variables and HIV/AIDS diagnostic time. The results indicate that age, CD4 count, and opportunistic infection significantly impact the diagnostic time, while gender shows a nonsignificant relationship. The F-test confirms the model's overall significance, indicating the factors are good predictors of HIV/AIDS diagnostic time. The R-squared value of approximately 72% suggests that administering antiretroviral therapy (ART) can improve diagnostic time by suppressing the virus and protecting the immune system. Cox proportional hazard modeling is used to examine the effects of predictor variables on patient survival time. Age and CD4 count are not significant factors in the hazard of HIV/AIDS diagnostic time, while opportunistic infection is a significant predictor with a decreasing effect on the hazard rate. Gender shows a strong but nonsignificant relationship with decreased risk of death. To address the violation of the assumption of proportional hazard, the study employs an assumption-free alternative, Aalen’s model. In the Aalen model, all predictor variables except age and gender are statistically significant in relation to HIV/AIDS diagnostic time. The findings provide valuable insights into the factors influencing diagnostic time and survival of HIV/AIDS patients, which can inform interventions aimed at reducing transmission and improving early diagnosis and treatment. The Power Chris-Jerry distribution proves to be a suitable fit for modeling CD4 counts, while multiple linear regression and survival analysis techniques provide insights into the relationships between predictor variables and diagnostic time. These results contribute to the understanding of HIV/AIDS patient outcomes and can guide public health interventions to enhance early detection, treatment, and care.

Exploring the Impact of Factors Affecting the Lifespan of HIVs/AIDS Patient’s Survival: An Investigation Using Advanced Statistical Techniques

This study investigates the impact of various factors on the lifespan and diagnostic time of HIV/AIDS patients using advanced statistical techniques. The Power Chris-Jerry (PCJ) distribution is applied to model CD4 counts of patients, and the goodness-of-fit test confirms a strong fit with a p-value of 0.6196. The PCJ distribution is found to be the best fit based on information criteria (AIC and BIC) with the smallest negative log-likelihood, AIC, and BIC values. The study uses datasets from St. Luke hospital Uyo, Nigeria, containing HIV/AIDS diagnosis date, age, CD4 count, gender, and opportunistic infection dates. Multiple linear regression is employed to analyze the relationship between these variables and HIV/AIDS diagnostic time. The results indicate that age, CD4 count, and opportunistic infection significantly impact the diagnostic time, while gender shows a nonsignificant relationship. The F-test confirms the model's overall significance, indicating the factors are good predictors of HIV/AIDS diagnostic time. The R-squared value of approximately 72% suggests that administering antiretroviral therapy (ART) can improve diagnostic time by suppressing the virus and protecting the immune system. Cox proportional hazard modeling is used to examine the effects of predictor variables on patient survival time. Age and CD4 count are not significant factors in the hazard of HIV/AIDS diagnostic time, while opportunistic infection is a significant predictor with a decreasing effect on the hazard rate. Gender shows a strong but nonsignificant relationship with decreased risk of death. To address the violation of the assumption of proportional hazard, the study employs an assumption-free alternative, Aalen’s model. In the Aalen model, all predictor variables except age and gender are statistically significant in relation to HIV/AIDS diagnostic time. The findings provide valuable insights into the factors influencing diagnostic time and survival of HIV/AIDS patients, which can inform interventions aimed at reducing transmission and improving early diagnosis and treatment. The Power Chris-Jerry distribution proves to be a suitable fit for modeling CD4 counts, while multiple linear regression and survival analysis techniques provide insights into the relationships between predictor variables and diagnostic time. These results contribute to the understanding of HIV/AIDS patient outcomes and can guide public health interventions to enhance early detection, treatment, and care.

The Changing Trends of HIV/AIDS in An Ethnic Minority Region of China: Modeling the Epidemic in Liangshan Prefecture, Sichuan Province

Objective This study was to investigate the HIV current situation in Liangshan prefecture, in order to predict prevalence and transmission trends. Methods Region-specific population, behavior, serosurveillence, and policy/program data （from 1995 to 2020） were gathered from various local and national organizations and applied to the Asian Epidemic Model （AEM） and used to derive estimates of future HIV prevalence, epidemic trends, and outcomes of intervention strategies. Results The AEM projections for 2020 included increased number of people living with HIV （PLHIV; to 136 617）, increased HIV prevalence （2.51%）, and 8037 deaths from acquired immunodeficiency syndrome （AIDS） in this region. However, the overall HIV incidence rate （per 10 000） was projected to decline from 27 in 2015 to 22 in 2020, largely due to a predicted decrease in HIV infection rate （per 10 000） from 658 in 2013 to 621 in 2020 among intravenous drug users. In contrast, the cases of HIV infection per i0 000 was projected to increase from 420 in 2010 to 503 in 2020 among men who have sex with men, and from 8 in 2010 to 15 in 2020 among the general population. The predominant risk factor for HIV transmission over the next decade in Liangshan was casual sex. Community-based outreach strategies to reduce injected drug use and casual sex, and to promote condom use, were predicted as effective interventions to decrease HIV transmission. Conclusion Implementation of a comprehensive public health program, with targeting to the region-specific at-risk populations, will help to mitigate HIV/AIDS spread in Liangshan.

Infections and inequalities: anemia in AIDS, the disadvantages of poverty

Objective:To study anemia in AIDS patients and its relation with socioeconomic, employment status and educational levels.Methods:A total number of 442 patients who visited the Infectious Diseases University Hospital in Buenos Aires, Argentina were included in the study. Patients were dividied into two groups,i.e.one with anemia and the other without anemia. Anemia epidemiology and its relationship with educational level, housing, job situation, monthly income, total daily caloric intake and weekly intake of meat were evaluated.Results:Anemia was found in 228 patients(54%). Comparing patients with or without anemia, a statistically significant difference was found(P<0.0001) in those whose highest educational level reached was primary school, who lived in a precarious home, who had no stable job or were unable to work, whose income was less than 30 dollars per month, whose meat consumption was less than twice a week or received less than 8000 calories per day.Conclusions:The high prevalence of anemia found in poor patients with AIDS suggests that poverty increases the risk to suffer from this hematological complication.The relationship between economic development policies and AIDS is complex. Our results seem to point to the fact that AIDS epidemic may affect economic development and in turn be affected by it. If we consider that AIDS affects the economically active adult population, despite recent medical progress it usually brings about fatal consequences, especially within the poorest sectors of society where the disease reduces the average life expectancy, increases health care demand and tends to exacerbate poverty and iniquity.

Establishment of AIDS Animal Model with SIVmac239 Infected Chinese Rhesus Monkey

In the present research,two Chinese rhesus monkeys were inoculated intravenously with 5000 TCID50 of SIVmac239. The changes in the numbers of CD4+ T lymphocyte in peripheral blood,plasma viral loads,proviral DNA and humoral antibodies against virus were periodically monitored during 121 days. At the early stage of infection,proviral DNA had been detected in PBMCs,and infectious SIVmac239 virus had been isolated from PBMCs. At the same period,the numbers of CD4+ T lymphocytes were significantly decreased,and maintained at low level during the 121-day period of infection. Plasma viral loads reached the peak at week 2 post-inoculation and kept at a steady state subsequently. Moreover,antibodies against viral proteins were detected from plasma. All the results showed that the two Chinese rhesus monkeys had been infected with SIVmac239 successfully. This animal model can be applied for further AIDS researches.