Child ; Humans ; Acquired Immunodeficiency Syndrome/drug therapy* ; Retrospective Studies ; Anti-Retroviral Agents/therapeutic use* ; HIV Infections/epidemiology* ; China/epidemiology* ; Anti-HIV Agents/therapeutic use*

HIV cluster detection and response (CDR) is a critical strategy to end the HIV epidemic by offering information to identify prevention and care services gaps. The risk metrics for HIV clusters can be classified into three groups: growth-based metrics, characteristic-based metrics, and phylogeny-based metrics. When identifying HIV risk clusters, the public health response can reach people in the affected networks, including people with undiagnosed HIV, people with diagnosed HIV who might not be accessing HIV care or other services, and people without HIV who would benefit from prevention services. To provide references for HIV precise prevention in China, we summarized the risk metrics and the intervention measures for CDR.
Humans ; HIV Infections/prevention & control* ; Acquired Immunodeficiency Syndrome/epidemiology* ; Public Health ; Epidemics/prevention & control* ; China/epidemiology*

Objective: To analyze the survival time of reported HIV/AIDS and influencing factors of Yunnan Province from 1989 to 2021. Methods: The data were extracted from the Chinese HIV/AIDS comprehensive response information management system. The retrospective cohort study was conducted. The life table method was applied to calculate the survival probability. Kaplan-Meier was used to draw survival curves in different situations. Furthermore, the Cox proportion hazard regression model was constructed to identify the factors related to survival time. Results: Of the 174 510 HIV/AIDS, the all-cause mortality density was 4.23 per 100 person-years, the median survival time was 20.00 (95%CI:19.52-20.48) years, and the cumulative survival rates in 1, 10, 20, and 30 years were 90.75%, 67.50%, 47.93% and 30.85%. Multivariate Cox proportional risk regression model results showed that the risk of death among 0-14 and 15-49 years old groups were 0.44 (95%CI: 0.34-0.56) times and 0.51 (95%CI:0.50-0.52) times of ≥50 years old groups. The risk for death among the first CD4⁺T lymphocytes counts (CD4) counts levels of 200-349 cells/μl, 350-500 cells/μl and ≥501 cells/μl groups were 0.52 (95%CI: 0.50-0.53) times, 0.41 (95%CI: 0.40-0.42) times and 0.35 (95%CI: 0.34-0.36) times of 0-199 cells/μl groups. The risk of death among the cases that have not received antiretroviral therapy (ART) was 11.56 (95%CI: 11.26-11.87) times. The risk for death among the cases losing to ART, stopping to ART, both losing and stopping ART was 1.66 (95%CI:1.61-1.72) times, 2.49 (95%CI:2.39-2.60) times, and 1.65 (95%CI:1.53-1.78) times of the cases on ART. Conclusions: The influencing factors for the survival time of HIV/AIDS cases were age at diagnosis in Yunnan province from 1989 to 2021. The first CD4 counts levels, antiretroviral therapy, and ART compliance. Early diagnosis, early antiretroviral therapy, and increasing ART compliance could extend the survival time of HIV/AIDS cases.
Humans ; Middle Aged ; Retrospective Studies ; China/epidemiology* ; Acquired Immunodeficiency Syndrome/epidemiology* ; Anti-Retroviral Agents/therapeutic use* ; Asian People

In recent years, HIV infection prevalence in MSM has been in increase in China. HIV testing is the only way to identify HIV-infection, effectively curb the spread of HIV and reduce AIDS-related death risks. At present, the situation of HIV testing in MSM is not satisfactory, and expanding HIV testing is the one of the key measures for AIDS prevention and control in this population. This paper summarizes the role and strategies of expanding HIV testing in MSM in order to provide a reference for the improvement of HIV testing in this population.
Male ; Humans ; HIV Infections/epidemiology* ; Homosexuality, Male ; Acquired Immunodeficiency Syndrome ; Risk-Taking ; Sexual and Gender Minorities ; HIV Testing ; China/epidemiology*

Objective: To understand the epidemiological characteristics of HIV-infected adolescents outside school in China and provide reference to targeted prevention and control of HIV infection in this population. Methods: All the HIV-infected adolescents aged 15-17 years outside school reported during 2011-2019 were included this study. The information about their demographics, transmission routes and migration were collected from HIV/AIDS Comprehensive Response Information Management System. The χ² test was done for comparison among groups. The Joinpoint 4.9.0 software was applied to the annual percent change (APC) for time trends analysis using the Joinpoint regression model. The Excel 2019 and SPSS 22.0 software were used for data cleaning and statistical analysis. Results: A total of 4 919 HIV-infected adolescents aged 15-17 years outside school were reported accumulatively in China between 2011 and 2019, accounting for 63.4% (4 919/7 757) of total reported HIV-infected cases in this age group. Analysis on trend revealed that the new HIV infection diagnosis rate has become stable since 2016 (APC=2.5%, P=0.173) after the increase between 2011 and 2015 (APC=36.4%, P<0.001). The migration across provinces was discovered in 13.9% (684/4 919) of the HIV-infected adolescents outside school. Males, workers, and those diagnosed in detention centers or transmitted by injecting drugs or homosexual contacts accounted for a larger proportion in migrated cases compared with non-migrated cases. The adolescents outside school mainly got HIV infected by sexual contacts route, in which 66.5% (280/421) of the males were infected by homosexual contacts, while 97.8% (182/186) of the females were infected by heterosexual contacts in 2019. Conclusions: HIV-infected adolescents aged 15-17 years outside school were mainly infected by sexual contacts. However, adolescents outside school have low awareness of sexual health and high mobility, to whom close attention should be paid to improve their awareness of sexual health and to provide them with appropriate HIV infection prevention and treatment service.
Acquired Immunodeficiency Syndrome ; Adolescent ; China/epidemiology* ; Female ; HIV Infections/epidemiology* ; Humans ; Male ; Schools ; Sexual Behavior

Objective: To analyze the migration of the HIV/AIDS cases and related factors in Liangshan Yi autonomous prefecture (Liangshan). Methods: According to HIV/AIDS Comprehensive Response Information Management System of China Information System for Disease Control and Prevention, a total of 28 772 HIV/AIDS cases who had follow-up records in Liangshan in 2020 were included in the survey. The migration of the HIV/AIDS cases was described and the related factors were analyzed using multiple logistic regression models, and the migration destinations of the HIV/AIDS cases were mapped. Results: Among the 28 772 HIV/AIDS cases, 20.89% (6 010/28 772) had migration in 2020. Multivariate logistic regression analysis showed that among the HIV/AIDS cases, the migration related factors included being aged 15-24 years (compared with being aged 0-14 years, OR=2.74, 95%CI:2.04-3.69) and ethnic group (compared with Han ethnic group, OR=2.44, 95%CI:2.19-2.72), having education level of junior high school (compared with having education level of primary school or below, OR=1.25, 95%CI:1.14-1.38), being unmarried (compared with being married, OR=1.29, 95%CI:1.20-1.39), being engaged in business services (compared with being engaged in farming, OR=1.96, 95%CI:1.31-2.92), receiving antiviral treatment <1 year (compared with receiving antiviral treatment >3 years, OR=1.42, 95%CI:1.26-1.61), having recent CD4⁺T lymphocytes (CD4) counts >500 cells/μl (compared with having recent CD4 counts <200 cells/μl, OR=1.15, 95%CI:1.03-1.29). The geographical distribution maps showed that among all cities in Sichuan, Xichang (13.26%, 797/6 010) and Chengdu (10.12%,608/6 010) were the main migration destinations of the HIV/AIDS cases, and the provinces outside Sichuan where the HIV/AIDS cases would like to migrate to were mainly Guangdong (18.19%, 1 093/6 010) and Zhejiang provinces (7.67%, 461/6 010) in 2020. The HIV/AIDS cases who migrated where Liangshan, within Sichuan province, and to other provinces accounted for 27.67% (1 663/6 010), 15.34% (922/6 010) and 56.99% (3 425/6 010), respectively. Conclusions: More attention should be paid to the mobility characteristics and the classification management of HIV/AIDS cases according to their characteristics in Liangshan. Timely access to information on changes in the place of work and residence of HIV/AIDS cases should be warranted when they have migration. Good referrals and management for mobility of HIV/AIDS cases in different places should be made to reduce loss to follow-up and improving interventions.
Acquired Immunodeficiency Syndrome/epidemiology* ; Adolescent ; Adult ; Child ; Child, Preschool ; China/epidemiology* ; Ethnicity ; HIV Infections/epidemiology* ; Humans ; Infant ; Infant, Newborn ; Logistic Models ; Marriage ; Young Adult

Due to the latent characteristics of HIV infection, exceptionality of HIV high-risk population, social discrimination and insufficient awareness of AIDS prevention, timely testing and diagnosis of HIV infection is still a challenge worldwide. Until recently, it is difficult to exactly understand the overall HIV epidemic only using routine surveillance data. Therefore, epidemiological and statistical modeling is widely used to address this issue. Almost at the same time when AIDS was firstly discovered firstly, scientists also began to study the methods for the estimation and prediction of HIV infection epidemic. This article summarizes the development of global and domestic HIV epidemic estimation for the further understanding of its current performance and methods applied to provide reference for the future work.
Acquired Immunodeficiency Syndrome/epidemiology* ; Epidemics ; HIV Infections/epidemiology* ; Humans ; Models, Statistical

Objective: To analyze the work indicators of China Comprehensive AIDS Response Program (China CARES) and provide reference for future work of the program. Methods: The scores of each indicator were calculated, and different scores among different types of program areas were compared. The M(Q₁,Q₃) was used to describe the score of each indicator. The entropy weight method was used to calculate the composite score of each indicator and the composite score was translated into a 100-point system and compared among indicators. Results: In terms of the first-level indicators, organizational leadership and management (96.0 points), publicity and education (94.0 points), and innovative strategies and measures (98.0 points) got relatively high scores; while comprehensive social governance of AIDS prevention (72.0 points) was with the lowest score. The scores of publicity and education and comprehensive intervention in county-level program areas were significantly lower than those in urban areas. For secondary indicators, the indicator with relatively lower scores included "condom use among female sex workers last time" (70.0 points)", "at least one local key population has an increase in the number of people receiving HIV testing compared with the previous year" (70.0 points)", "colleges and occupational schools set up AIDS-related self-service facilities" (65.0 points), "HIV testing among the arrested people suspected of prostitution, adultery, drug users and traffickers" (55.0 points) and "condom use among men who have sex with men during last episode" (50.0 points). The "indicator 3 comprehensive intervention" contributed most to the evaluation, while "indicator 7 innovation strategies and measures" played a minor role in the evaluation results. Conclusions: The overall situation of AIDS Response Program in 2020 was good, but the progress in different word areas was not yet balanced. The two areas of comprehensive intervention and comprehensive social governance of AIDS prevention should be strengthened. It is also suggested that relevant indicators be adjusted appropriately to improve evaluation indicators system and comprehensively promote the program.
Acquired Immunodeficiency Syndrome/prevention & control* ; China/epidemiology* ; Female ; HIV Infections/epidemiology* ; Homosexuality, Male ; Humans ; Male ; Program Evaluation ; Sex Workers ; Sexual and Gender Minorities

Objective: To understand the hospitalization rates and influencing factors after diagnosis among HIV infection cases, based on real-world data in Yinzhou district of Ningbo. Methods: A retrospective cohort study was conducted based on the databases of National AIDS Comprehensive Response Information Management System and Yinzhou Health Information Platform. The information about the following-up results, antiviral treatment data, electronic records of inpatient of the HIV cases reported during 2012-2020 were collected to analyze the rates, causes and influencing factors of hospitalization. Results: Among the 763 HIV infection cases reported in Yinzhou from 2012 to 2020, the hospitalization rate was 6.95% (53/763), and the number of inpatient was 2.59 per 100 person years. The hospitalization rate and the number of hospitalization per 100 person years in HIV infection cases were 3.16% (10/316) and 0.81 in those aged <30 years, 6.07% (15/247) and 1.59 in those aged >30 years, 7.86% (11/140) and 4.05 in those aged >45 years and 28.33% (17/60) and 17.40 in those aged ≥60 years respectively. Logistic multivariate regression analysis indicated that being aged ≥60 years was the influencing factor for hospitalizations in HIV infection cases (аOR=14.44, 95%CI:3.57-58.46). The hospitalization rates due to AIDS related diseases, cardiovascular diseases and metabolic diseases, and other diseases were 1.83% (14/763), 1.05% (8/763), and 3.93% (30/763), respectively. Conclusions: The hospitalization burden due to HIV infection was still mainly caused by those aged ≥60 years in Yinzhou, similar to that in general population and less proportion of hospitalizations were due to AIDS related diseases. The overall increase of hospitalizations due to AIDS was not obvious in Yinzhou.
Acquired Immunodeficiency Syndrome/epidemiology* ; HIV Infections/therapy* ; Hospitalization ; Humans ; Retrospective Studies

Objective: To investigate the related factors associated with the structure of the gut microbial community in HIV infection/AIDS cases (HIV/AIDS) in Henan province. Methods: The convenience sampling method was used to select 122 cases who were receiving Antiviral Treatment (ART) or ART-naive in Henan. Whole blood and stool specimens were collected. Genomic DNA of stool samples was extracted, and the V3-V4 hypervariable regions of the 16S rRNA gene were sequenced using Illumina NovaSeq 6000 high-throughput sequencing system. The analysis was performed mainly at the genus level, and the 30 genera with the highest abundance were selected as a measure of the gut microbial community structure. The correlation between community structure and related factors was analyzed using redundancy analysis and Envfit function. Results: 122 cases were finally completed sequencing and analysis, the average BMI was (23.62±2.78) kg/m² and the average age was (47±13) years. Among them, male accounted for 66.39% (81/122), and heterosexual transmission route constituted the largest ratio, accounting for 51.64% (63/122). 36 cases were treatment naive (29.51%, 36/122). The top five dominant genera of the total population (122 cases) were Prevotella, Roseburia, Megamonas, Bacteroides and Faecalibacterium and the top five dominant genera of the ART population (86 cases) were Prevotella, Megamonas, Bacteroides, Roseburia and Faecalibacterium. The top five dominant genera of the ART-naive population (36 cases) appeared as Prevotella, Faecalibacterium, Roseburia, Bacteroides and Megamonas. In the total population, ART (P<0.001) was the most significant factors of community structure. Other significant factors were: duration of diagnosis (P=0.009), viral load (P=0.022) and anti-HCV (P=0.018). ART was positively correlated with Megamonas and negatively correlated with Prevotella, Roseburia and Faecalibacterium, while the other three factors of duration of diagnosis, viral load and anti-HCV were positively correlated with Prevotella, Roseburia and Faecalibacterium and negatively correlated with Megamonas. In the ART-naive population, duration of diagnosis (P=0.003) were the factors significantly associated with community structure. Duration of diagnosis was positively correlated with Roseburia, Faecalibacterium, Megamonas and Prevotella and negatively correlated with Bacteroides. Conclusion: ART and duration of diagnosis were factors significantly associated with gut microbial community structure and had a significant impact on multiple high-abundance genera.
Acquired Immunodeficiency Syndrome/epidemiology* ; Adult ; Gastrointestinal Microbiome/genetics* ; HIV Infections/epidemiology* ; Humans ; Male ; Microbiota ; Middle Aged ; RNA, Ribosomal, 16S/genetics*