The AIDS Public Information Data Set (APIDS) for years 1981-2002 on CDC WONDER online database contains counts of AIDS (Acquired Immune Deficiency Syndrome) cases reported by state and local health departments, by demographics; location (region and selected metropolitan areas); case-definition; month/year and quarter-year of diagnosis, report, and death (if applicable); and HIV exposure group (risk factors for AIDS). Data are produced by the US Department of Health and Human Services (US DHHS), Public Health Service (PHS), Centers for Disease Control and Prevention (CDC), National Center for HIV, STD and TB Prevention (NCHSTP), Division of HIV/AIDS Prevention (DHP).

The Sexually Transmitted Disease (STD) Morbidity online databases on CDC WONDER contain case reports reported from the 50 United States and D.C., Puerto Rico, Virgin Islands and Guam. The online databases report the number of cases and disease incidence rates by year, state, disease, age, sex of patient, type of STD, and area of report, since 1984. Data are updated annually. Data are produced by the U.S. Department of Health and Human Services, Public Health Service, Centers for Disease Control and Prevention (CDC), National Center for HIV/AIDS, viral Hepatitis, STD and TB Prevention (NCHHSTP).

Optimal CDC HIV prevention funding allocation for California, Florida and New Jersey: Allocation for high prevalence group versus state-specific characteristics.

Rates of HIV diagnoses among adults and adolescents ages 13 and older in the US by state, 2016. Source: Centers for Disease Control and Prevention (CDC), Diagnoses of HIV infection in the United States and dependent areas, 2016. HIV surveillance report, 2017; vol 28.

2011 to present. BRFSS combined land line and cell phone prevalence data. BRFSS is a continuous, state-based surveillance system that collects information about modifiable risk factors for chronic diseases and other leading causes of death. Data will be updated annually as it becomes available. Detailed information on sampling methodology and quality assurance can be found on the BRFSS website (http://www.cdc.gov/brfss). Methodology: http://www.cdc.gov/brfss/factsheets/pdf/DBS_BRFSS_survey.pdf Glossary: https://chronicdata.cdc.gov/Behavioral-Risk-Factors/Behavioral-Risk-Factor-Surveillance-System-BRFSS-H/iuq5-y9ct/data

Includes information on the following topics: Aging, Alcohol, Arthritis,Asthma, Autism (ASD), Birth Defects, Births, Blood Disorders, Breastfeeding, Cancer, Chronic Diseases, Deaths, Diabetes, Disease Classification, Foodborne Illness, Genomics, Growth Charts, Healthy Water, Heart Disease, HIV/AIDS, Immunizations, Injuries & Violence, Life Expectancy, Lyme Disease, MRSA, Oral Health, Overweight & Obesity, Physical Inactivity, reproductive Health, Smoking & Tobacco, STDs, Vital Signs, Workplace

BackgroundIn 2015, there were approximately 40,000 new HIV diagnoses in the United States. Pre-exposure prophylaxis (PrEP) is an effective strategy that reduces the risk of HIV acquisition; however, uptake among those who can benefit from it has lagged. In this study, we 1) compared the characteristics of patients who were prescribed PrEP with individuals newly diagnosed with HIV infection, 2) identified the specialties of practitioners prescribing PrEP, 3) identified metropolitan statistical areas (MSAs) within the US where there is relatively low uptake of PrEP, and 4) reported median amounts paid by patients and third-party payors for PrEP.Methods and findingsWe analyzed prescription drug claims for individuals prescribed PrEP in the Integrated Dataverse (IDV) from Symphony Health for the period of September 2015 to August 2016 to describe PrEP patients, prescribers, relative uptake, and payment methods in the US. Data were available for 75,839 individuals prescribed PrEP, and findings were extrapolated to approximately 101,000 individuals, which is less than 10% of the 1.1 million adults for whom PrEP was indicated. Compared to individuals with newly diagnosed HIV infection, PrEP patients were more likely to be non-Hispanic white (45% versus 26.2%), older (25% versus 19% at ages 35–44), male (94% versus 81%), and not reside in the South (30% versus 52% reside in the South).Using a ratio of the number of PrEP patients within an MSA to the number of newly diagnosed individuals with HIV infection, we found MSAs with relatively low uptake of PrEP were concentrated in the South. Of the approximately 24,000 providers who prescribed PrEP, two-thirds reported primary care as their specialty. Compared to the types of payment methods that people living with diagnosed HIV (PLWH) used to pay for their antiretroviral treatment in 2015 to 2016 reported in the Centers for Disease Control and Prevention (CDC) HIV Surveillance Special Report, PrEP patients were more likely to have used commercial health insurance (80% versus 35%) and less likely to have used public healthcare coverage or a publicly sponsored assistance program to pay for PrEP (12% versus 45% for Medicaid). Third-party payors covered 95% of the costs of PrEP. Overall, we estimated the median annual per patient out-of-pocket spending on PrEP was approximately US$72. Limitations of this study include missing information on prescription claims of patients not included in the database, and for those included, some patients were missing information on patient diagnosis, race/ethnicity, educational attainment, and income (34%–36%).ConclusionsOur findings indicate that in 2015–2016, many individuals in the US who could benefit from being on PrEP were not receiving this HIV prevention medication, and those prescribed PrEP had a significantly different distribution of characteristics from the broader population that is at risk for acquiring HIV. PrEP patients were more likely to pay for PrEP using commercial or private insurance, whereas PLWH were more likely to pay for their antiretroviral treatment using publicly sponsored programs. Addressing the affordability of PrEP and otherwise promoting its use among those with indications for PrEP represents an important opportunity to help end the HIV epidemic.

The Online Tuberculosis Information System (OTIS) on CDC WONDER contains information on verified tuberculosis (TB) cases reported to the Centers for Disease Control and Prevention (CDC) by state health departments, the District of Columbia and Puerto Rico since 1993. These data were extracted from the CDC national TB surveillance system. OTIS reports case counts, incidence rates, population counts, percentage of cases that completed therapy within 1 year of diagnosis, and percentage of cases tested for drug susceptibility. Data for 22 variables are included in the data set, including: age groups, race / ethnicity, sex, vital status, year reported, state, metropolitan area, several patient risk factors, directly observed therapy, disease verification criteria and multi-drug resistant TB. Each year these data are updated with an additional year of cases plus revisions to cases reported in previous years. OTIS is produced by the U.S. Department of Health and Human Services, Public Health Service, Centers for Disease Control and Prevention (CDC), National Center for HIV/AIDS, viral Hepatitis, STD and TB Prevention (NCHHSTP).

The Sexually Transmitted Disease (STD) Morbidity online databases on CDC WONDER contain case reports reported from the 50 United States and D.C., Puerto Rico, Virgin Islands and Guam. The online databases report the number of cases and disease incidence rates by year, state, disease, age, sex of patient, type of STD, and area of report. Data are produced by the U.S. Department of Health and Human Services, Public Health Service, Centers for Disease Control and Prevention (CDC), National Center for HIV/AIDS, viral Hepatitis, STD and TB Prevention (NCHHSTP).

The Botswana Combination Prevention Project (BCPP) was a research project conducted by the Botswana Ministry of Health (MOH), Harvard School of Public Health/Botswana Harvard AIDS Institute Partnership (BHP), and the U.S. Centers for Disease Control and Prevention (CDC). BCPP was a community randomized trial that examined the impact of prevention interventions on HIV incidence in 15 intervention and 15 control communities. The interventions included extensive HIV testing, linkage to care, and universal treatment services. To reduce HIV incidence in the intervention communities, the UNAIDS 90-90-90 goals were used: 90% of HIV-positive persons know their status; 90% of persons who know status are to be on ART; 90% of persons on ART are to be virally suppressed. The BCPP study is composed of 2 interlocking protocols: Evaluation Protocol and Intervention Protocol. The Evaluation Protocol of the BCPP evaluated the primary endpoint (HIV incidence), as well as some key related secondary endpoints. This protocol focused on the Baseline Household Survey; the HIV Incidence Cohort; and an End of Study Survey. The Intervention Protocol of the BCPP implemented the combination prevention (CP) intervention package in CPCs and measures the uptake of these interventions (expanded HIV testing and counselling, strengthened male circumcision, and expanded HIV Care and Treatment).

HIV/AIDS awareness rate among 2734 male college students.

This dataset contains surveillance data on diagnoses of HIV for the United States in estimates rates and numbers for Human Immunodeficiency Virus (HIV) infection diagnosis and stage 3 infection Acquired Immunodeficiency Syndrome (AIDS) as collected by the Centers for Disease Control and Prevention (CDC).

Behavioral Risk Factor Surveillance System (BRFSS) 2024

Overview

The Behavioral Risk Factor Surveillance System (BRFSS) is the nation's premier system of health-related telephone surveys that collect uniform, state-specific data about U.S. residents regarding their health-related risk behaviors, chronic health conditions, and use of preventive services.

The objective of the BRFSS is to gather consistent, state-level data on preventive health practices and risk behaviors associated with chronic diseases, injuries, and preventable infectious diseases among adults (aged 18 and older).

Established in 1984 with 15 states, the BRFSS now collects data in all 50 states, the District of Columbia, and three U.S. territories. The system completes more than 400,000 adult interviews each year, making it the largest continuously conducted health survey system in the world.

2024 Data Notes

The 2024 BRFSS dataset continues to use the raking weighting methodology (introduced in 2011) and includes both landline and cellphone-only respondents, ensuring more accurate representation of the U.S. adult population.

The aggregate dataset combines landline and cell phone data collected in 2024 from 49 states, The District of Columbia, Guam, Puerto Rico, and The U.S. Virgin Islands.

This original dataset contains responses from 457,670 individuals and has 301 features. These features are either questions directly asked of participants, or calculated variables based on individual participant responses.

⚠️ Note: Tennessee was unable to collect enough responses to meet inclusion requirements for 2024 and is not included in this public dataset.

Certain survey questions and responses have been modified or omitted to comply with federal data policies in effect during the 2024 collection period. As a result, some variables may contain missing values or appear inconsistent due to questions that were removed or restructured.

Data Collection

Data are collected from a random sample of adults (one per household) via telephone interviews.

Factors assessed include: - Tobacco use - Health care access and coverage - Alcohol consumption - Physical activity and diet - HIV/AIDS knowledge and prevention - Chronic health conditions
- Preventive health services and screenings

Content

The annual dataset contains 301 variables, covering both core questions and optional modules. Please refer to the official BRFSS 2024 Codebook for detailed variable definitions and coding.

This dataset contains 3 files: 1. brfss_survey_data_2024.csv # Dataset in .csv format (converted from SAS) 2. codebook_2024.HTML # CDC codebook for variable definitions
3. main_data_brfss_2024.XPT # Main dataset

⚙️ Note: The CSV file were converted from the original SAS format using pandas. Minor conversion artifacts may exist.

Complete description about each column of the CSV file can be found in the codebook.

Source & Acknowledgements

Data provided by the U.S. Centers for Disease Control and Prevention (CDC).

Original source and additional years of BRFSS data: CDC BRFSS Annual Data

Citation:

Centers for Disease Control and Prevention (CDC). Behavioral Risk Factor Surveillance System Survey Data. Atlanta, Georgia: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, 2024.

License: Public Domain (U.S. Government Work)

Suggested Citation (for Kaggle users)

If you use this dataset in your analysis or publication, please cite as:

Behavioral Risk Factor Surveillance System (BRFSS) 2024. U.S. Centers for Disease Control and Prevention (CDC). Public Domain.

Prepared for Kaggle public dataset publication. All data are in the public domain as U.S. Government works.

Abstract

The 2005 Vietnam Population and AIDS Indicator Survey (VPAIS) was designed with the objective of obtaining national and sub-national information about program indicators of knowledge, attitudes and sexual behavior related to HIV/AIDS. Data collection took place from 17 September 2005 until mid-December 2005.

The VPAIS was implemented by the General Statistical Office (GSO) in collaboration with the National Institute of Hygiene and Epidemiology (NIHE). ORC Macro provided financial and technical assistance for the survey through the USAID-funded MEASURE DHS program. Financial support was provided by the Government of Vietnam, the United States President’s Emergency Plan for AIDS Relief, the United States Agency for International Development (USAID), and the United States Centers for Disease Control and Prevention/Global AIDS Program (CDC/GAP).

The survey obtained information on sexual behavior, and knowledge, attitudes, and behavior regarding HIV/AIDS. In addition, in Hai Phong province, the survey also collected blood samples from survey respondents in order to estimate the prevalence of HIV. The overall goal of the survey was to provide program managers and policymakers involved in HIV/AIDS programs with strategic information needed to effectively plan, implement and evaluate future interventions.

The information is also intended to assist policymakers and program implementers to monitor and evaluate existing programs and to design new strategies for combating the HIV/AIDS epidemic in Vietnam. The survey data will also be used to calculate indicators developed by the United Nations General Assembly Special Session on HIV/AIDS (UNGASS), UNAIDS, WHO, USAID, the United States President’s Emergency Plan for AIDS Relief, and the HIV/AIDS National Response.

The specific objectives of the 2005 VPAIS were: • to obtain information on sexual behavior. • to obtain accurate information on behavioral indicators related to HIV/AIDS and other sexually transmitted infections. • to obtain accurate information on HIV/AIDS program indicators. • to obtain accurate estimates of the magnitude and variation in HIV prevalence in Hai Phong Province.

Geographic coverage

National coverage

Analysis unit

• Household
• Women age 15-49
• Men age 15-49

Kind of data

Sample survey data [ssd]

Sampling procedure

The sampling frame for the 2005 Vietnam Population and AIDS Indicator Survey (VPAIS) was the master sample used by the General Statistical Office (GSO) for its annual Population Change Survey (PCS 2005). The master sample itself was constructed in 2004 from the 1999 Population and Housing Census. As was true for the VNDHS 1997 and the VNDHS 2002 the VPAIS 2005 is a nationally representative sample of the entire population of Vietnam.

The survey utilized a two-stage sample design. In the first stage, 251 clusters were selected from the master sample. In the second stage, a fixed number of households were systematically selected within each cluster, 22 households in urban areas and 28 in rural areas.

The total sample of 251 clusters is comprised of 97 urban and 154 rural clusters. HIV/AIDS programs have focused efforts in the four provinces of Hai Phong, Ha Noi, Quang Ninh and Ho Chi Minh City; therefore, it was determined that the sample should be selected to allow for representative estimates of these four provinces in addition to the national estimates. The selected clusters were allocated as follows: 35 clusters in Hai Phong province where blood samples were collected to estimate HIV prevalence; 22 clusters in each of the other three targeted provinces of Ha Noi, Quang Ninh and Ho Chi Minh City; and the remaining 150 clusters from the other 60 provinces throughout the country.

Prior to the VPAIS fieldwork, GSO conducted a listing operation in each of the selected clusters. All households residing in the sample points were systematically listed by teams of enumerators, using listing forms specially designed for this activity, and also drew sketch maps of each cluster. A total of 6,446 households were selected. The VPAIS collected data representative of: • the entire country, at the national level • for urban and rural areas • for three regions (North, Central and South), see Appendix for classification of regions. • for four target provinces: Ha Noi, Hai Phong, Quang Ninh and Ho Chi Minh City.

All women and men aged 15-49 years who were either permanent residents of the sampled households or visitors present in the household during the night before the survey were eligible to be interviewed in the survey. All women and men in the sample points of Hai Phong who were interviewed were asked to voluntarily give a blood sample for HIV testing. For youths aged 15-17, blood samples were drawn only after first obtaining consent from their parents or guardians.

(Refer Appendix A of the final survey report for details of sample implementation)

Mode of data collection

Face-to-face [f2f]

Research instrument

Two questionnaires were used in the survey, the Household Questionnaire and the Individual Questionnaire for women and men aged 15-49. The content of these questionnaires was based on the model AIDS Indicator Survey (AIS) questionnaires developed by the MEASURE DHS program implemented by ORC Macro.

In consultation with government agencies and local and international organizations, the GSO and NIHE modified the model questionnaires to reflect issues in HIV/AIDS relevant to Vietnam. These questionnaires were then translated from English into Vietnamese. The questionnaires were further refined after the pretest.

The Household Questionnaire was used to list all the usual members and visitors in the selected households. Some basic information was collected on the characteristics of each person listed, including age, sex, relationship to the head of the household, education, basic material needs, survivorship and residence of biological parents of children under the age of 18 years and birth registration of children under the age of 5 years. The main purpose of the Household Questionnaire was to identify women and men who were eligible for the individual interview. The Household Questionnaire also collected information on characteristics of the household’s dwelling unit, such as the source of drinking water, type of toilet facilities, type of material used in the flooring of the house, and ownership of various durable goods, in order to allow for the calculation of a wealth index. The Household Questionnaire also collected information regarding ownership and use of mosquito nets.

The Individual Questionnaire was used to collect information from all women and men aged 15-49 years.

All questionnaires were administered in a face-to-face interview. Because cultural norms in Vietnam restrict open discussion of sexual behavior, there is concern that this technique may contribute to potential under-reporting of sexual activity, especially outside of marriage.

All aspects of VPAIS data collection were pre-tested in July 2005. In total, 24 interviewers (12 men and 12 women) were involved in this task. They were trained for thirteen days (including three days of fieldwork practice) and then proceeded to conduct the survey in the various urban and rural districts of Ha Noi. In total, 240 individual interviews were completed during the pretest. The lessons learnt from the pretest were used to finalize the survey instruments and logistical arrangements for the survey and blood collection.

Cleaning operations

The data processing of the VPAIS questionnaire began shortly after the fieldwork commenced. The first stage of data editing was done by the field editors, who checked the questionnaires for completeness and consistency. Supervisors also reviewed the questionnaires in the field. The completed questionnaires were then sent periodically to the GSO in Ha Noi by mail for data processing.

The office editing staff first checked that questionnaires of all households and eligible respondents had been received from the field. The data were then entered and edited using CSPro, a software package developed collaboratively between the U.S. Census Bureau, ORC Macro, and SerPRO to process complex surveys. All data were entered twice (100 percent verification). The concurrent processing of the data was a distinct advantage for data quality, as VPAIS staff was able to advise field teams of errors detected during data entry. The data entry and editing phases of the survey were completed by the end of December 2005.

Response rate

A total of 6,446 households were selected in the sample, of which 6,346 (98 percent) were found to be occupied at the time of the fieldwork. Occupied households include dwellings in which the household was present but no competent respondent was home, the household was present but refused the interview, and dwellings that were not found. Of occupied households, 6,337 were interviewed, yielding a household response rate close to 100 percent.

All women and men aged 15-49 years who were either permanent residents of the sampled households or visitors present in the household during the night before the survey were eligible to be interviewed in the survey. Within interviewed households, a total of 7,369 women aged 15-49 were identified as eligible for interview, of whom 7,289 were interviewed, yielding a response rate to the Individual interview of 99 percent among women. The high response rate was also achieved in male interviews. Among the 6,788 men aged 15-49 identified as eligible for interview, 6,707 were successfully interviewed, yielding a response rate of 99 percent.

Sampling error

Diagnoses of HIV infection, linkage to HIV medical care within 1 month, and viral suppression within 6 months of HIV diagnosis among adults aged ≥18 years, by Index of Concentration at the Extremes (ICE)—United States and Puerto Rico (census tract levela), 2019.

Geenius banding pattern of the 22 EIA indeterminate samples that are confirmed as HIV positive.

Multivariate models of correlates of the outcomes of testing positive for HIV, HCV, and syphilis among female sex workers (FSWs) in Guangxi Province, China, China National CDC HIV/AIDS Surveillance Data, 2010–2012,N = 51,790.

The HIV/AIDS testing market is booming, projected to reach $10.05 billion by 2033, driven by technological advancements, increased awareness, and expanding access to testing. Learn about market trends, key players, and regional growth forecasts in this comprehensive analysis. Recent developments include: In May 2022, THE Amref Health Africa-Tanzania launched the 'Afya Kamilifu' project in Mara Region to prevent HIV. The project is sponsored by the Centre for Disease Control and Prevention (CDC). Under this HIV self-test kits were made available at all health centers in the region., In May 2022, Roche through its Global Access Program, partnered with The Global Fund to improve the diagnosis of HIV by building local capacity to tackle fundamental infrastructure challenges for generating and delivering diagnostic results and managing healthcare waste. This includes building effective processes to collect, transport, test samples, and return the results to patients for timely clinical interventions, as well as addressing challenges arising from a lack of network infrastructure, workforce capacity, access to roads, and IT systems.. Key drivers for this market are: Growing Prevalence of HIV/Aids globally, Increasing Government Initiatives. Potential restraints include: Growing Prevalence of HIV/Aids globally, Increasing Government Initiatives. Notable trends are: Antibody Test Segment Accounts for the Large Market Share Over the Forecast Period.

NNDSS - Table III. Tuberculosis - 2017.This Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data. Data on United States will exclude counts from US territories. Footnote: C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable. -: No reported cases. N: Not reportable. NN: Not Nationally Notifiable Cum: Cumulative year-to-date counts. Min: Minimum. Max: Maximum. * Case counts for reporting year 2016 and 2017 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf Data for TB are displayed quarterly.

The 2011 Uganda AIDS Indicator Survey (AIS) is a nationally representative, population-based, HIV serological survey. The survey was designed to obtain national and sub-national estimates of the prevalence of HIV and syphilis infection as well as information about other indicators of programme coverage, such as knowledge, attitudes, and sexual behaviour related to HIV/AIDS. Data collection took place from 8 February to the first few days of September 2011. The UAIS was implemented by the Ministry of Health. ICF International provided financial and technical assistance for the survey through a contract with USAID/Uganda. Financial and technical assistance was also provided by the U.S. Centers for Disease Control and Prevention (CDC). Financial support was provided by the Government of Uganda, the U.S. Agency for International Development (USAID), the President’s Emergency Fund for AIDS Relief (PEPFAR), the World Health Organisation (WHO), the UK Department for International Development (DFID), and the Danish International Development Agency (DANIDA) through the Partnership Fund. The Uganda Bureau of Statistics also partnered in the implementation of the survey. Central testing was conducted at the Uganda Virus Research Institute, with CDC conducting CD4 counts, polymerase chain reaction (PCR) testing for children, and quality control tests. The survey provided information on knowledge, attitudes, and behaviour regarding HIV/AIDS and indicators of coverage and access to other programmes, for example, HIV testing, access to antiretroviral therapy, services for treating sexually transmitted infections, and coverage of interventions to prevent motherto-child transmission of HIV. The survey also collected information on the prevalence of HIV and syphilis and their social and demographic variations in the country. The overall goal of the survey was to provide programme managers and policymakers involved in HIV/AIDS programmes with strategic information to effectively plan, implement, and evaluate HIV/AIDS interventions. The information obtained from the survey will help programme implementers to monitor and evaluate existing programmes and design new strategies for combating the HIV/AIDS epidemic in Uganda. The survey data will in addition be used to make population projections and to calculate indicators developed by the UN General Assembly Special Session (UNGASS), USAID, PEPFAR, the UNAIDS Programme, WHO, the Uganda Health Sector Strategic and Investment Plan, and the Uganda AIDS Commission. The specific objectives of the 2011 UAIS were to provide information on: • Prevalence and distribution of HIV and syphilis • Indicators of knowledge, attitudes, and behaviour related to HIV/AIDS and other sexually transmitted infections • HIV/AIDS programme coverage indicators • Levels of CD4 T-lymphocyte counts among HIV-positive adults to quantify HIV treatment needs and to calibrate model-based estimates • HIV prevalence that can be used to calibrate and improve the sentinel surveillance system • Risk factors for HIV and syphilis infections in Uganda.