These data were reported to the NYC DOHMH by March 31, 2021 This dataset includes data on new diagnoses of HIV and AIDS in NYC for the calendar years 2016 through 2020. Reported cases and case rates (per 100,000 population) are stratified by United Hospital Fund (UHF) neighborhood, sex, and race/ethnicity. Note: - Cells marked "NA" cannot be calculated because of cell suppression or 0 denominator.

In 2023, Black or African Americans had the highest rates of HIV diagnoses among males in the United States. In that year, among all men, 19 per 100,000 were diagnosed with HIV. This statistic displays the rate of HIV diagnoses among males in the U.S. in 2023, by race and ethnicity (per 100,000 population).

These data were reported to the NYC DOHMH by March 31, 2021 This dataset includes data on new diagnoses of HIV and AIDS in NYC for the calendar years 2016 through 2020. Reported cases and case rates (per 100,000 population) are stratified by United Hospital Fund (UHF) neighborhood, age group, and race/ethnicity. Note: - Cells marked "NA" cannot be calculated because of cell suppression or 0 denominator.

This data set includes tables on persons living with HIV/AIDS, newly diagnosed HIV cases and all cause deaths in HIV/AIDS cases by gender, age, race/ethnicity and transmission category.

In all tables, cases are reported as of December 31 of the given year, as reported by January 9, 2019, to allow a minimum of 12 months reporting delay.

Gender is determined by both current gender and sex at birth variables; transgender values are assigned when current gender is identified as "Transgender" or when a discrepancy is identified between a person's sex at birth and their current gender (e.g., cases where sex at birth is "Male" and current gender is "Female" will become Transgender: Male to Female.) Prior to 2003, Asian and Native Hawaiian/Pacific Islanders were classified as one combined group. In order to present these race/ethnicities separately, living cases recorded under this combined classification were split and redistributed according to their expected proportional population representation estimated from post-2003 data.

In 2023, the death rate from HIV was highest among African Americans, with around 18 deaths per 100,000 population. This statistic shows the death rate from HIV in the U.S. in 2023, by race and ethnicity, per 100,000 population.

The epidemiological surveillance of HIV in Belgium is based on several data collections carried out by Sciensano. National data are collected from the HIV reference centres (HRCs) and AIDS reference laboratories (ARLs): a) National data collection of all HIV diagnosed patients in Belgium; b) National data collection of all HIV patients in care, through an exhaustive data collection of all viral load measures performed in Belgium and a data collection of demographic, biological, immunological, treatment and death data of patients in care in the HRCs (around 80 % of all patients in care in Belgium); c) A laboratory data collection on viro-immunological follow-up of all new-borns from HIV positive mothers; d) A national data collection of post-exposure prophylaxis episodes. Since the beginning of the HIV epidemic, this surveillance enables the monitoring of the trends in number of people diagnosed with HIV and number of patients in medical follow-up, as well as to identify certain socio-demographic factors associated with the risk of HIV infection or of a pejorative clinical outcome. This information supports health authorities and HIV stakeholders to decide on evidence-based HIV prevention and care strategies and define target groups for tailored interventions. Statbel, the Belgian statistical office collects, produces and disseminates reliable and relevant figures on the Belgian economy, society and territory. The collection is based on administrative data sources and surveys. This project aims to link the HIV surveillance data with selected Statbel information. This will permit to greatly improve the quality of the HIV surveillance data by completing the data already collected by Sciensano with additional socio-economic and socio-demographic information on patients profiles, filling in missing data in the Sciensano database with demographics from Statbel, ascertaining vital status of lost-to-follow-up patients and completing the information on causes of death. Additionally, a linkage with the new-born registry would permit to have more demographic and clinical information on children born from HIV-positive women.

In 2022, Black or African Americans had the highest rates of HIV diagnoses among males in the United States. In that year, among all men, 22 per 100,000 men were diagnosed with HIV. This statistic displays the rate of HIV diagnoses among males in the U.S. in 2022, by race and ethnicity (per 100,000 population).

Demographic data on sexual orientation for HIV/AIDS in Napa County, 2017-2024.

These data were reported to the NYC DOHMH by March 31, 2021 This dataset includes data on new diagnoses of HIV and AIDS in NYC for the calendar years 2016 through 2020. Reported cases and case rates (per 100,000 population) are stratified by United Hospital Fund (UHF) neighborhood, sex, and race/ethnicity. Note: - Cells marked "NA" cannot be calculated because of cell suppression or 0 denominator.

Demographics on ethnicity and risk factors for HIV/AIDS in Napa County, 2017-2024.

HIV is still a major health problem in developing countries. Even though high HIV-risk-taking behaviors have been reported in African fishing villages, local distribution patterns of HIV infection in the communities surrounding these villages have not been thoroughly analyzed. The objective of this study was to investigate the geographical distribution patterns of HIV infection in communities surrounding African fishing villages. In 2011, we applied age- and sex-stratified random sampling to collect 1,957 blood samples from 42,617 individuals registered in the Health and Demographic Surveillance System in Mbita, which is located on the shore of Lake Victoria in western Kenya. We used these samples to evaluate existing antibody detection assays for several infectious diseases, including HIV antibody titers. Based on the results of the assays, we evaluated the prevalence of HIV infection according to sex, age, and altitude of participating households. We also used Kulldorff’s spatial scan statistic to test for HIV clustering in the study area. The prevalence of HIV at our study site was 25.3%. Compared with the younger age group (15–19 years), adults aged 30–34 years were 6.71 times more likely to be HIV-positive, and the estimated HIV-positive population among women was 1.43 times larger than among men. Kulldorff’s spatial scan statistic detected one marginally significant (P = 0.055) HIV-positive and one significant HIV-negative cluster (P = 0.047) in the study area. These results suggest a homogeneous HIV distribution in the communities surrounding fishing villages. In addition to individual behavior, more complex and diverse factors related to the social and cultural environment can contribute to a homogeneous distribution pattern of HIV infection outside of African fishing villages. To reduce rates of transmission in HIV-endemic areas, HIV prevention and control programs optimized for the local environment need to be developed.

Percentages of MSM newly diagnosed with HIV infection by age and race/ethnicity, 2016, Santa Clara County. Source: Santa Clara County Public Health Department, enhanced HIV/AIDS reporting system (eHARS), data as of 4/30/2017. METADATA:Notes (String): Lists table title, notes and sourcesCategory (String): Lists the category representing the data: Age group: 13-24, 25-29, 30-39, 40-49, 50 and older; race/ethnicity:Asian/Pacific Islander, Black/African American, Latino, White (non-Hispanic White only), Other/Unknown.Percentage (Numeric): Percentage of MSM diagnosed with HIV in a particular category among all MSM diagnoses

MSP: Medical Services Plan; CDC: BC Centre for Disease Control; MoH: BC Ministry of Health Datasets (including DAD, MSP); IQR: Interquartile range.*Compared to the confirmed HIV cases with records in CfE, CDC, MoH databases.**Identified with confirmed positive HIV test, a pVL test with detectable viral load or antiretroviral dispensation, and with records in each of the CfE, CDC and MoH databases.?Included in algorithm 3 (N = 1665) Excluded in algorithm 2 (N = 849); 1665−849 = 816.

The states with the highest rates of HIV diagnoses in 2022 included Georgia, Louisiana, and Florida. However, the states with the highest number of people with HIV were Texas, California, and Florida. In Texas, there were around 4,896 people diagnosed with HIV. HIV/AIDS diagnoses In 2022, there were an estimated 38,043 new HIV diagnoses in the United States, a slight increase compared to the year before. Men account for the majority of these new diagnoses. There are currently around 1.2 million people living with HIV in the United States. Deaths from HIV The death rate from HIV has decreased significantly over the past few decades. In 2023, there were only 1.3 deaths from HIV per 100,000 population, the lowest rate since the epidemic began. However, the death rate varies greatly depending on race or ethnicity, with the death rate from HIV for African Americans reaching 19.2 per 100,000 population in 2022, compared to just three deaths per 100,000 among the white population.

Participant social and demographic characteristics by stage of HIV at diagnosis.

a95% CI, 95% confidence intervals.bIQR, interquartile range.cRegular or intermittent employment that provided cash income such as salaried workers, small business owners, casual laborers, etc.

The study provides a regular overview of Estonian youth's sexual behavior, sexual education, risk behavior related to HIV and other sexually transmitted infections, and the factors affecting it. Based on the data of the study, decisions can be made to improve the sexual education and health of young people. The survey data will also be used to measure the effectiveness of the national HIV action plan for the years 2017-2025.

Groups to be studied:

• In 2015, students aged 14-18 in general education schools, students in vocational schools aged 16-18 and young adults aged 19-29
• 2021/2022. in 14-18-year-old general education school students and 16-18-year-old vocational school students

What are we studying?

• knowledge and misconceptions about HIV transmission routes
• attitude towards people infected with HIV and beliefs related to HIV
• knowledge about the possibilities of HIV testing and getting tested
• starting a sexual life, sexual partners, sexual abuse
• use and non-use of condoms and contraceptives
• attitudes related to condom use
• dealing with topics related to relationships, sexuality and sexual life in school and the teaching forms used for this purpose
• various sources of information related to relationships, sexuality and sexual life (parents, friends, internet)
• use of addictive substances (tobacco products, alcohol and drugs).

Socio-demographic data (gender, age, place of residence, family composition, family economic situation, relationships at school and at home) and self-assessments of mental and physical health are collected as background data.

How often does it happen? The first survey was carried out in 2003 and the following ones every two years in 2005 and 2007. Since 2010, the survey has been conducted every five years.

The Zambia Demographic and Health Survey (ZDHS) is a nationally representative sample survey of women and men of reproductive age. The main objective is to provide information on levels and trends in fertility, childhood mortality, use of family planning methods, maternal and child health indicators including HIV/AIDS. This information is necessary for programme managers, policymakers, and implementers to monitor and evaluate the impact of existing programmes and to design new initiatives for health policies in Zambia. The primary objectives of the 2013-14 ZDHS are: • To collect up-to-date information on fertility, infant and child mortality, and family planning. • To collect information on health-related matters such as breastfeeding, antenatal care, children’s immunisations, and childhood diseases. • To assess knowledge of contraceptive practices among women. • To assess the nutritional status of mothers and children. • To improve understanding of variations in HIV seroprevalence levels according to social and economic characteristics and behavioural risk factors. • To estimate levels of HIV incidence in the general population of adults. • To estimate unmet need for antiretroviral treatment. In the case of HIV/AIDS, the testing component of the 2013-14 ZDHS was undertaken to provide information to address the monitoring and evaluation needs of government and nongovernmental programmes dealing with HIV/AIDS. It also provides programme managers and policymakers with the information they need to effectively plan and implement future interventions. The overall objective was to collect high-quality and representative data on knowledge, attitudes, and behaviours regarding HIV/AIDS and other STIs and on the prevalence and incidence of HIV among women and men.

Abstract

This survey included nearly 36,000 participants aged 15 years and older from all 31 regions of the country. It has provided essential data on national HIV incidence, national and regional HIV prevalence, and national and regional prevalence of HIV viral load suppression (VLS) among those living with HIV. THIS 2022-2023 also provided critical information on national and regional progress toward HIV epidemic control—including progress towards achieving the Joint United Nations Programme on HIV and AIDS (UNAIDS) 95-95-95 targets.

Annual HIV incidence among adults (defined as individuals aged 15 years and older) in Tanzania was 0.18%, which corresponds to approximately 60,000 new cases of HIV per year among adults.

Prevalence of HIV among adults in Tanzania was 4.4%, which corresponds to approximately 1,548,000 adults living with HIV. HIV prevalence was higher among women at 5.6% than men at 3.0%.

Prevalence of VLS among all adults living with HIV in Tanzania was 78.0%. VLS prevalence was higher among women at 80.9% than men at 72.2%.

Prevalence of VLS among all adults living with HIV in Mainland Tanzania was 78.1%.

Tanzania’s conditional achievement of the UNAIDS 95-95-95 targets were: 82.7% of adults living with HIV were aware of their status, 97.9% of those aware of their HIV positive status were on ART, and 94.3% of those on ART achieved VLS

Geographic coverage

National Coverage. (The survey covers both the Tanzania Mainland and Zanzibar.)

Although the survey did not disaggregate findings by national zones, the country's regions fall into zones that may share some common sociodemographic characteristics and which may be useful in the interpretation of survey data.

Analysis unit

Household and Individual

Universe

THIS 2022-2023 was a nationally representative, cross-sectional, two-stage, population-based survey of households across Tanzania. First selected census enumeration areas (EAs), then households within each EA.

Its target population was adults (defined as individuals aged 15 years and older for the purposes of the survey).

Kind of data

Sample survey data [ssd]

Sampling procedure

THIS 2022-2023 was a household-based, cross-sectional survey designed for individuals aged 15 years and older, using a two stage cluster sample approach that first selected census enumeration areas (EAs), then households within each EA.

The sampling frame was comprised of all EAs of Tanzania based on the 2022 Population and Housing Census data obtained from Tanzania National Bureau of Statistics (NBS), which included 104,188 EAs, and 14,966,262 households. The first stage selected EAs (clusters) using a probability proportional to size (PPS) method, stratified by geographical regions. However, because HIV prevalence varies widely across Tanzania's 31 regions, from below 0.2% to over 11%, a very large sample size would be required to capture accurate estimates. Consequently, modifications were made to the sampling design strategy. This included dividing specific sub-national units (SNUs) into three priority tiers:

• Highest Priority: This tier focused on achieving a VLS 95% CI of +/-10%. • Intermediate Priority: This tier focused on achieving a VLS 95% CI of +/-20%. • Lowest Priority: This tier aimed to estimate HIV prevalence with a 95% CI of +/- 1.2% and ensure at least 12 EAs in each group.

Regions in Tanzania were also categorized based on their HIV prevalence: • Low: Less than 3% • Intermediate: Between 3% and 5.9% • High: 6% and above

The Second stage involved the households selections and the third stage of sampling involved selection of the individuals

Sampling deviation

r.

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

Two questionnaires were used for the 2022-23 THIS: the Household Questionnaire and the Individual Questionnaire.After the preparation of the definitive questionnaires in English, the questionnaires were translated into Kiswahili.

1. The household questionnaire collected information on household residents, assets, economic support, recent deaths, and orphans and vulnerable children.
2. The individual questionnaire was administered to all participants and included modules on demographic characteristics, sexual and reproductive health, marriage, male circumcision, sexual activity, the HIV testing and treatment history, TB and other health issues, hepatitis risk factors, COVID-19 vaccination status, stigma and discrimination, and alcohol use (see Appendix F). Participants who self-reported their HIV-positive status were asked questions about their HIV care experience.

Cleaning operations

There was a team of data editors who were checking the quality of data everyday as the data was coming electronically from the field.

Response rate

Out of the 19,819 households selected, 18,586 were occupied and of those, 17,301 were interviewed. The overall unweighted household RR was 92.8%.

A total of 39,442 adults aged 15 years and older (22,031 women and 17,411 men) were eligible to participate in the survey. A total of 35,957 adults participated in the individual interview: interview RRs were 93.0% among women, and 87.3% among men. Among those interviewed, 93.0% of women and 92.6% of men had their blood drawn

Sampling error estimates

Estimates from sample surveys are affected by two types of errors: nonsampling errors and sampling errors. Nonsampling errors result from mistakes made during data collection (eg, misinterpretation of an HIV test result) and data management (eg, transcription errors in data entry). While THIS 2022-2023 implemented numerous QA and QC measures to minimize nonsampling errors, these errors are impossible to avoid and difficult to evaluate statistically.

In contrast, sampling errors can be evaluated statistically. The sample of respondents selected for THIS 2022-2023 is only one of many samples that could have been selected from the same population, using the same design and expected size. Each of these samples would yield results that differ somewhat from the results of the actual sample selected. Sampling errors are a measure of the variability between all possible samples. Although the degree of variability is not known exactly, it can be estimated from the survey results.

The standard error, which is the square root of the variance, is the usual measurement of sampling error for a particular statistic (eg, proportion, mean, rate, count). In turn, the standard error can be used to calculate confidence intervals within which the true value for the population can reasonably be assumed to fall. For example, for any given statistic calculated from a sample survey, the value of that statistic will fall within a range of approximately plus or minus two times the standard error of that statistic in 95% of all possible samples of identical size and design

THIS 2022-2023 utilized a multistage stratified sample design, which required complex calculations to obtain sampling errors. Specifically, a variant of the jackknife replication method was implemented in SAS to estimate variance for proportions (eg, HIV prevalence), rates (eg, annual HIV incidence), and counts (eg, numbers of people living with HIV). To take account of the precision benefits of implicit stratification as fully as possible, the sampled PSUs within each sampling stratum were paired off in the systematic order in which they were selected, treating each pair as a variance-estimation stratum. To fully reflect the sample design, the formation of the variance-estimation strata was applied to all 566 of the sampled PSUs.

Detailed documentation of the estimates of Sampling Error can be found in Appendix C of the " Tanzania HIV Impact Survey 2022-2023 Report" document provided as an external resource