70 datasets found
  1. HIV/AIDS Cases

    • data.chhs.ca.gov
    • data.ca.gov
    • +5more
    xlsx, zip
    Updated Aug 28, 2024
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    California Department of Public Health (2024). HIV/AIDS Cases [Dataset]. https://data.chhs.ca.gov/dataset/hiv-aids-cases
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    xlsx(18441), xlsx(15897), xlsx(18803), xlsx, zipAvailable download formats
    Dataset updated
    Aug 28, 2024
    Dataset authored and provided by
    California Department of Public Healthhttps://www.cdph.ca.gov/
    Description

    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.

  2. HIV/AIDS Survivors

    • kaggle.com
    Updated Jan 27, 2023
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    NEHA RAUTELA (2023). HIV/AIDS Survivors [Dataset]. https://www.kaggle.com/datasets/neharautela/hivaids/code
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jan 27, 2023
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    NEHA RAUTELA
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Introduction

    • HIV (human immunodeficiency virus) is a virus that attacks the body's immune system. If HIV is not treated, it can lead to AIDS (acquired immunodeficiency syndrome) which currently has no cure. Once people get HIV, they have it for life. But with proper medical care, HIV can be controlled. Symptoms: Influenza-like illness; Fatigue… Treatments: Management of HIV/AIDS Type of infectious agent: Virus (Human Immunodeficiency Virus) • AIDS (acquired immune deficiency syndrome) is the name used to describe a number of potentially life-threatening infections and illnesses that happen when one’s immune system has been severely damaged by the HIV virus. While AIDS cannot be transmitted from 1 person to another, the HIV virus can.

    Dataset

    The data set contains data of the following:- 1. The top causes of deaths in the world 2. Total number of deaths due to HIV/AIDS 3. ART (Anti Retro-viral Therapy) coverage among people living with HIV 4. Knowledge among young citizens (15-24years) about HIV/AIDS 5. Population of HIV/AIDS patients living with TB and their death rate 6. Life expectancy rate among HIV/AIDS patients 7. HIV/AIDS Patients in different age groups 8. Women population living with HIV 9. Young women in India having the knowledge of HIV/AIDS 10. HIV/AIDS deaths in Indian states

    Data was scrapped from the official website of UNICEF -https://data.unicef.org/ and https://data.gov.in/

    Ask Phase

    • Data gives the trend of increasing no. of HIV/AIDS patients across the world • The information available for each country is percentage of total Global AIDS patients • Time period traced is 2000-2019 • Key Questions to answer:  Which countries and regions are affected the most?  How are the different age groups affected?  How much is the ART (Anti Retro-viral Therapy) coverage among the patients and what is the life expectancy rate?  What percentage of the population is aware of the prevention and causes of HIV/AIDS

    Prepare phase.

    • By tabulating and filtering the data the required data was obtained to bring out observations. • Data was formatted to the desired format to perform further calculations. • Sorting of data region wise. • Columns with inconsistent and empty cells were deleted. • The data of India was extracted for further analysis • Duplicate entries and undesired data was removed

    Process phase

    For cleaning the dataset for further analysis MS Excel was used due to small data. • Used sumifs() functions to aggregate the data region wise • Used sumif() to segregate the no. of patients within different age groups • Used sumifs() to find the total number of TB patients among HIV deaths. • Used countif() to find the percentage of male and female patients. • Sorted data to find the top and bottom nation with most and least HIV/AIDS patients

    Analyze phase

    • Formed the following pivot tables to answer key target questions  Year v/s number of death rates  Country v/s death numbers to bring out nation wise deaths  Causes of death v/s the number of deaths to bring at which position AIDS causes causality  Year v/s percentage of life expectancy to observe the pattern of no. of survivors

    Visualization phase

    The data was visualized using Tableau.

    Presentaion

    The final presentation was prepared by accumulating all observations and inferences which is linked below https://docs.google.com/presentation/d/1NEX10Vz5u5Va3CrTLVbvsUHZjO-fn8EOeiOHkP03T3Q/edit?usp=sharing

  3. A

    ‘HIV AIDS Dataset’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Feb 13, 2022
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2022). ‘HIV AIDS Dataset’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/kaggle-hiv-aids-dataset-428e/latest
    Explore at:
    Dataset updated
    Feb 13, 2022
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Analysis of ‘HIV AIDS Dataset’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/imdevskp/hiv-aids-dataset on 13 February 2022.

    --- Dataset description provided by original source is as follows ---

    Context

    In the time of epidemics, what is the status of HIV AIDS across the world, where does each country stands, is it getting any better. The data set should be helpful to explore much more about above mentioned factors.

    Content

    The data set contains data on

    1. No. of people living with HIV AIDS
    2. No. of deaths due to HIV AIDS
    3. No. of cases among adults (19-45)
    4. Prevention of mother-to-child transmission estimates
    5. ART (Anti Retro-viral Therapy) coverage among people living with HIV estimates
    6. ART (Anti Retro-viral Therapy) coverage among children estimates

    Acknowledgements / Data Source

    Collection methodology

    https://github.com/imdevskp/hiv_aids_who_unesco_data_cleaning

    Cover Photo

    Photo by Anna Shvets from Pexels https://www.pexels.com/photo/red-ribbon-on-white-surface-3900425/

    Similar Datasets

    --- Original source retains full ownership of the source dataset ---

  4. HIV: annual data

    • gov.uk
    Updated Oct 1, 2024
    + more versions
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    UK Health Security Agency (2024). HIV: annual data [Dataset]. https://www.gov.uk/government/statistics/hiv-annual-data-tables
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    Dataset updated
    Oct 1, 2024
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    UK Health Security Agency
    Description

    The following slide sets are available to download for presentational use:

    New HIV diagnoses, AIDS and deaths are collected from HIV outpatient clinics, laboratories and other healthcare settings. Data relating to people living with HIV is collected from HIV outpatient clinics. Data relates to England, Wales, Northern Ireland and Scotland, unless stated.

    HIV testing, pre-exposure prophylaxis, and post-exposure prophylaxis data relates to activity at sexual health services in England only.

    View the pre-release access lists for these statistics.

    Previous reports, data tables and slide sets are also available for:

    Our statistical practice is regulated by the Office for Statistics Regulation (OSR). The OSR sets the standards of trustworthiness, quality and value in the https://code.statisticsauthority.gov.uk/" class="govuk-link">Code of Practice for Statistics that all producers of Official Statistics should adhere to.

    Additional information on HIV surveillance can be found in the HIV Action Plan for England monitoring and evaluation framework reports. Other HIV in the UK reports published by Public Health England (PHE) are available online.

  5. S

    AIDS deaths by county by year

    • health.data.ny.gov
    application/rdfxml +5
    Updated Mar 7, 2024
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    New York State Department of Health (2024). AIDS deaths by county by year [Dataset]. https://health.data.ny.gov/Health/AIDS-deaths-by-county-by-year/rbib-5irw
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    application/rssxml, json, xml, csv, application/rdfxml, tsvAvailable download formats
    Dataset updated
    Mar 7, 2024
    Authors
    New York State Department of Health
    Description

    This dataset contains death counts, crude rates and adjusted rates for selected causes of death by county and region. For more information, check out: http://www.health.ny.gov/statistics/vital_statistics/, or go to the "About" tab.

  6. HIV/AIDS Annual Report

    • kaggle.com
    Updated Oct 4, 2021
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    Mostafa Faramin (2021). HIV/AIDS Annual Report [Dataset]. https://www.kaggle.com/mostafafaramin/hivaids-annual-report/tasks
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Oct 4, 2021
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Mostafa Faramin
    Description

    Contents

    HIV/AIDS** data from the HIV Surveillance Annual Report * Note: Data reported to the HIV Epidemiology and Field Services Program by June 30, 2016. All data shown are for people ages 13 and older. Borough-wide and citywide totals may include cases assigned to a borough with an unknown UHF or assigned to NYC with an unknown borough, respectively. Therefore, UHF totals may not sum to borough totals and borough totals may not sum to citywide totals."

    Dataset has 18 features including:

    Year, Borough, UHF, Gender, Age, Race, HIV diagnoses, HIV diagnosis rate, Concurrent diagnoses, % linked to care within 3 months, AIDS diagnoses, AIDS diagnosis rate, PLWDHI prevalence, % viral suppression, Deaths, Death rate, HIV-related death rate, Non-HIV-related death rate

  7. Epidemic HIV heath

    • kaggle.com
    Updated Mar 27, 2025
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    willian oliveira (2025). Epidemic HIV heath [Dataset]. http://doi.org/10.34740/kaggle/dsv/11188352
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 27, 2025
    Dataset provided by
    Kaggle
    Authors
    willian oliveira
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    ART not only saves lives but also gives a chance for people living with HIV/AIDS to live long lives. Without ART very few infected people survive beyond ten years.1

    Today, a person living in a high-income country who started ART in their twenties can expect to live for another 46 years — that is well into their 60s.2

    While the life expectancy of people living with HIV/AIDS in high-income countries has still not reached the life expectancy of the general population, we are getting closer to this goal.3

    The combination of antiretroviral drugs which make-up ART have progressively improved. Recent research shows that a person who started ART in the late 1990s would be expected to live ten years less than a person who started ART in 2008.4 This increase goes beyond the general increase in life expectancy in that period and reflects the improvements in ART — fewer side effects, more people following the prescribed treatment, and more support for the people in need of ART.

  8. e

    Attitudes to AIDS (Survey of Doctors) - Dataset - B2FIND

    • b2find.eudat.eu
    Updated May 3, 2023
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    (2023). Attitudes to AIDS (Survey of Doctors) - Dataset - B2FIND [Dataset]. https://b2find.eudat.eu/dataset/b86ac8fb-d4a3-543c-96f1-e6ef939f7048
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    Dataset updated
    May 3, 2023
    Description

    Effects of AIDS on the doctor-patient relationship. Topics: Experience with HIV-infected people or with AIDS patients both within and outside of the office as well as after normal hours; number of people with HIV treated and number of HIV antibody tests conducted; number of HIV-positive and HIV-negative test results; psychological and social problems of HIV-infected people and people suffering from AIDS; motivation for HIV/AIDS patients to visit the doctor; judgement on the risk of HIV infection in the practice of the medical profession; protective measures in the doctor´s office; reasons to recommend an HIV-antibody test; importance and most opportune time for measures accompanying the HIV-test (scale); personal attitude to the HIV-test; reporting the test results to the patient in person or by phone; assessment of the training status of doctors regarding the treatment of those infected with HIV or sick with AIDS; sources of information about HIV and AIDS; desired form of public discussion on the topic of AIDS; attitude to health policy measures in the area of combating AIDS (scale); knowledge of and judgement on the work of selected institutions in Cologne, which are active in the area of combating AIDS; evaluation of personal role as a doctor relative to dealing with HIV and AIDS patients as well as personal expectations of these patients; year of licensing to practice medicine and duration of time active practicing field of specialization. Additionally encoded were: week of response; anonymous vs. non-anonymous response. Auswirkungen von Aids auf das Arzt-Patient-Verhältnis. Themen: Erfahrungen mit HIV-Infizierten oder Aids-Kranken in der eigenen Praxis sowie außerhalb der Sprechstunde; Anzahl der behandelten HIV-Infizierten und der durchgeführten HIV-Antikörpertests; Anzahl der HIV-positiven und HIV-negativen Testergebnisse; psychische und soziale Probleme von HIV-Infizierten und Aids-Kranken; Beweggründe der HIV-/Aids-Patienten für den Arztbesuch; Beurteilung des HIV-Infektionsrisikos bei Ausübung des ärztlichen Berufs; Schutzmaßnahmen in der Arztpraxis; Gründe für die Empfehlung des HIV-Antikörpertests; Wichtigkeit und günstigster Zeitpunkt von begleitenden Maßnahmen zum HIV-Test (Skala); eigene Einstellung zum HIV-Test; persönliche oder telefonische Übermittlung von HIV-Testergebnissen an den Patienten; Einschätzung des Ausbildungsstandes von Ärzten bezüglich der Behandlung von HIV-Infizierten und Aids-Kranken; Informationsquellen über HIV und Aids; gewünschte öffentliche Auseinandersetzungsform mit dem Thema Aids; Einstellung zu gesundheitspolitischen Maßnahmen im Bereich der Aids-Bekämpfung (Skala); Bekanntheit und Bewertung der Arbeit ausgewählter Einrichtungen in Köln, die im Bereich der Aids-Bekämpfung tätig sind; Einschätzung der eigenen Rolle als Arzt in bezug auf den Umgang mit HIV-/Aids-Patienten sowie eigene Erwartungen an diese Patienten; Approbationsjahr und Tätigkeitsdauer im ausgeübten Fachgebiet. Demographie: Alter; Geschlecht. Zusätzlich verkodet wurde: Rücklaufwoche; anonyme vs. nicht-anonyme Rücksendung. Census Totalerhebung Interview by mail

  9. Effect of suicide rates on life expectancy dataset

    • zenodo.org
    csv
    Updated Apr 16, 2021
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    Filip Zoubek; Filip Zoubek (2021). Effect of suicide rates on life expectancy dataset [Dataset]. http://doi.org/10.5281/zenodo.4694270
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    csvAvailable download formats
    Dataset updated
    Apr 16, 2021
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Filip Zoubek; Filip Zoubek
    License

    Attribution-NonCommercial-ShareAlike 3.0 (CC BY-NC-SA 3.0)https://creativecommons.org/licenses/by-nc-sa/3.0/
    License information was derived automatically

    Description

    Effect of suicide rates on life expectancy dataset

    Abstract
    In 2015, approximately 55 million people died worldwide, of which 8 million committed suicide. In the USA, one of the main causes of death is the aforementioned suicide, therefore, this experiment is dealing with the question of how much suicide rates affects the statistics of average life expectancy.
    The experiment takes two datasets, one with the number of suicides and life expectancy in the second one and combine data into one dataset. Subsequently, I try to find any patterns and correlations among the variables and perform statistical test using simple regression to confirm my assumptions.

    Data

    The experiment uses two datasets - WHO Suicide Statistics[1] and WHO Life Expectancy[2], which were firstly appropriately preprocessed. The final merged dataset to the experiment has 13 variables, where country and year are used as index: Country, Year, Suicides number, Life expectancy, Adult Mortality, which is probability of dying between 15 and 60 years per 1000 population, Infant deaths, which is number of Infant Deaths per 1000 population, Alcohol, which is alcohol, recorded per capita (15+) consumption, Under-five deaths, which is number of under-five deaths per 1000 population, HIV/AIDS, which is deaths per 1 000 live births HIV/AIDS, GDP, which is Gross Domestic Product per capita, Population, Income composition of resources, which is Human Development Index in terms of income composition of resources, and Schooling, which is number of years of schooling.

    LICENSE

    THE EXPERIMENT USES TWO DATASET - WHO SUICIDE STATISTICS AND WHO LIFE EXPECTANCY, WHICH WERE COLLEECTED FROM WHO AND UNITED NATIONS WEBSITE. THEREFORE, ALL DATASETS ARE UNDER THE LICENSE ATTRIBUTION-NONCOMMERCIAL-SHAREALIKE 3.0 IGO (https://creativecommons.org/licenses/by-nc-sa/3.0/igo/).

    [1] https://www.kaggle.com/szamil/who-suicide-statistics

    [2] https://www.kaggle.com/kumarajarshi/life-expectancy-who

  10. HIV_themselves

    • kaggle.com
    Updated Jul 14, 2025
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    willian oliveira (2025). HIV_themselves [Dataset]. http://doi.org/10.34740/kaggle/dsv/12467401
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jul 14, 2025
    Dataset provided by
    Kaggle
    Authors
    willian oliveira
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Infection with HIV (human immunodeficiency virus) can lead to AIDS (acquired immunodeficiency syndrome). AIDS results in a gradual and persistent decline and failure of the immune system, resulting in a heightened risk of life-threatening infection and cancers.

    In the majority of cases, HIV is a sexually transmitted infection. However, HIV can also be transmitted from mother to child, during pregnancy or childbirth, or through breastfeeding. Non-sexual transmission can also occur by sharing injection equipment such as needles.

    Other research and writing on HIV/AIDS on Our World in Data:

    Antiretroviral therapy has saved millions of lives from AIDS and could save more See all interactive charts on HIV/AIDS ↓

    HIV/AIDS is one of the world's most fatal infectious disease More than three-quarters of a million people die from HIV/AIDS each year; in some countries, it's the leading cause of death HIV/AIDS is one of the world's most fatal infectious diseases – particularly across Sub-Saharan Africa, where the disease has had a massive impact on health outcomes and life expectancy in recent decades.

    The Global Burden of Disease is a major global study on the causes of death and disease published in the medical journal The Lancet.1 These estimates of the annual number of deaths by cause are shown here. This chart shows the global total but can be explored for any country or region using the "Change country" button.

  11. f

    Data from: Plasma HIV-1 Tropism and the Risk of Short-Term Clinical...

    • datasetcatalog.nlm.nih.gov
    • plos.figshare.com
    Updated Jan 28, 2017
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    Sedlacek, Dalibor; Paredes, Roger; Cozzi-Lepri, Alessandro; Casadellà, Maria; Lundgren, Jens D.; Bickel, Markus; Clotet, Bonaventura; Zilmer, Kai; Noguera-Julian, Marc; Phillips, Andrew (2017). Plasma HIV-1 Tropism and the Risk of Short-Term Clinical Progression to AIDS or Death [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0001762552
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    Dataset updated
    Jan 28, 2017
    Authors
    Sedlacek, Dalibor; Paredes, Roger; Cozzi-Lepri, Alessandro; Casadellà, Maria; Lundgren, Jens D.; Bickel, Markus; Clotet, Bonaventura; Zilmer, Kai; Noguera-Julian, Marc; Phillips, Andrew
    Description

    ObjectiveTo investigate if plasma HIV-1 tropism testing could identify subjects at higher risk for clinical progression and death in routine clinical management.DesignNested case-control study within the EuroSIDA cohort.MethodsCases were subjects with AIDS or who died from any cause, with a plasma sample with HIV-1 RNA >1000 copies/mL available for tropism testing 3 to 12 months prior to the event. At least 1 control matched for age, HIV-1 RNA and HCV status at the time of sampling were selected per each case. Conditional logistic regression was used to investigate exposures associated with clinical progression to AIDS or death. A linear mixed model with random intercept was used to compare CD4+T-cell slopes by HIV tropism over the 12 months following the date of sampling.ResultsThe study included 266 subjects, 100 cases and 166 controls; one quarter had X4 HIV; 26% were ART-naïve. Baseline factors independently associated with clinical progression or death were female gender (OR = 2.13 vs. male, 95CI = 1.04, 4.36), p = 0.038), CD4+T-cell count (OR = 0.90 (95CI = 0.80, 1.00) per 100 cells/mm3 higher, p = 0.058), being on ART (OR = 2.72 vs. being off-ART (95CI = 1.15, 6.41), p = 0.022) and calendar year of sample [OR = 0.84 (95CI = 0.77, 0.91) per more recent year, p<0.001). Baseline tropism was not associated with the risk of clinical progression or death. CD4+T-cell slopes did not differ within or between tropism groups.ConclusionsThe predictive role of plasma tropism determined using 454 sequencing in the context of people receiving cART with detectable VL is not helpful to identify subjects at higher risk for clinical progression to AIDS or death.

  12. f

    Minimal dataset.

    • plos.figshare.com
    zip
    Updated Jun 3, 2025
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    I-An Jen; Wei-You Li; Shang-Jung Wu; Patricia M. T. Chen; Wei-Lun Liu; Yung-Feng Yen; Cathy Shen Jang Fann; Yi-Ming Arthur Chen (2025). Minimal dataset. [Dataset]. http://doi.org/10.1371/journal.pone.0323250.s002
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    zipAvailable download formats
    Dataset updated
    Jun 3, 2025
    Dataset provided by
    PLOS ONE
    Authors
    I-An Jen; Wei-You Li; Shang-Jung Wu; Patricia M. T. Chen; Wei-Lun Liu; Yung-Feng Yen; Cathy Shen Jang Fann; Yi-Ming Arthur Chen
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Previously, we reported that HIV-1 patients infected with CRF07_BC had significantly lower viral loads than those infected with subtype B. Since HIV-1 viral load is associated with AIDS disease progression, the current study was to link multiple clinical and molecular databases, and compare clinical outcomes of HIV-1patients infected with CRF07_BC, CRF01_AE and subtype B in Taiwan. Molecular genotyping data of 2,982 HIV-1/AIDS patients were submitted to Taiwan CDC HIV-1/AIDS case management database. Then the database was linked to Taiwan National Health Insurance Research database and National Cause of Death database from 2000−2016. Subsequently, a subtype-based HIV/AIDS clinical database containing 1,605 patients including 858 (53.5%) subtype B, 690 (43.0%) CRF07_BC and 57 (3.5%) CRF01_AE patients was successfully established and the clinical outcomes and survival of these patients were analyzed. Analysis of transmission route showed this HIV-1/AIDS cohort consists of 761 (47.4%) men who have sex with men (MSM), 132 (8.2%) heterosexuals and 712 (44.4%) injection drug user (IDUs). Survival analysis showed subtype B patients had a significantly lower death rate (8.2%) than CRF07_BC and CRF01-AE patients (22.8% and 22.8%, respectively). The higher death rate for CRF07_BC versus subtype B patients could be largely influenced by transmission route (IDU: 95.7% vs. 3.9%; MSM: 85.8% vs. 2.0%), as well as lower ART uptake rates (69.9% vs. 96.3%). Indeed, subset analysis among IDU patients, CRF07_BC-infected patients had a better 16-year survival rate than patients infected with subtype B (74.3% vs. 45.7%, p 

  13. h

    Malawi ART Guidelines 3rd Edition 2009

    • dms.hiv.health.gov.mw
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    Malawi ART Guidelines 3rd Edition 2009 [Dataset]. https://dms.hiv.health.gov.mw/dataset/malawi-art-guidelines-3rd-edition-2009
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    Area covered
    Malawi
    Description

    At the end of 2007, 33.2 million adults and children were estimated to be living with HIV / AIDS in the world. Since the start of the epidemic in 1981, nearly 25 million people have died of AIDS. During the year 2007, it was estimated that there were 2.5 million people newly infected with HIV and there were 2.1 million AIDS deaths.

  14. A

    ‘Death Cause by Country’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Feb 13, 2022
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2022). ‘Death Cause by Country’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/kaggle-death-cause-by-country-3051/00ae526f/?iid=001-918&v=presentation
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    Dataset updated
    Feb 13, 2022
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Analysis of ‘Death Cause by Country’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/majyhain/death-cause-by-country on 13 February 2022.

    --- Dataset description provided by original source is as follows ---

    Context

    Across low- and middle-income countries, mortality from infectious disease, malnutrition, nutritional deficiencies, neonatal and maternal deaths are common – and in some cases, dominant. In Kenya, for example, diarrheal infections are still the primary cause of death. HIV/AIDS is the major cause of death in South Africa and Botswana. However, in high-income countries, the proportion of deaths due by these causes is quite low.

    Content

    The dataset contains thirty two columns and contains the death causes by All Genders (Male, Female) and by all age group.

    Acknowledgements

    Users are allowed to use, copy, distribute and cite the dataset as follows: “Majyhain, Death Causes by Country, Kaggle Dataset, February 04, 2022.”

    Inspiration

    The ideas for this data is to: • The amount of people dying by various diseases.

    • What is the death cause reasons by country.

    • Number of People dying by various diseases.

    • Which disease is causing more deaths by country.

    • Which disease is causing more deaths by world.

    References:

    The Data is collected from the following sites:

    https://www.who.int/

    --- Original source retains full ownership of the source dataset ---

  15. d

    World's Women Reports

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Nov 21, 2023
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    Harvard Dataverse (2023). World's Women Reports [Dataset]. http://doi.org/10.7910/DVN/EVWPN6
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    Dataset updated
    Nov 21, 2023
    Dataset provided by
    Harvard Dataverse
    Description

    Users can access data related to international women’s health as well as data on population and families, education, work, power and decision making, violence against women, poverty, and environment. Background World’s Women Reports are prepared by the Statistics Division of the United Nations Department for Economic and Social Affairs (UNDESA). Reports are produced in five year intervals and began in 1990. A major theme of the reports is comparing women’s situation globally to that of men in a variety of fields. Health data is available related to life expectancy, cause of death, chronic disease, HIV/AIDS, prenatal care, maternal morbidity, reproductive health, contraceptive use, induced abortion, mortality of children under 5, and immunization. User functionality Users can download full text or specific chapter versions of the reports in color and black and white. A limited number of graphs are available for download directly from the website. Topics include obesity and underweight children. Data Notes The report and data tables are available for download in PDF format. The next report is scheduled to be released in 2015. The most recent report was released in 2010.

  16. Estimated rate of annual AIDS-related deaths (per 100,000 population)

    • data.humdata.org
    csv, xml
    Updated Nov 18, 2024
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    UNICEF Data and Analytics (HQ) (2024). Estimated rate of annual AIDS-related deaths (per 100,000 population) [Dataset]. https://data.humdata.org/dataset/unicef-hva-epi-dth-rt
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    xml, csvAvailable download formats
    Dataset updated
    Nov 18, 2024
    Dataset provided by
    UNICEFhttp://www.unicef.org/
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Description

    Number of AIDS-related deaths per 100,000 people

  17. Countries Life Expectancy

    • kaggle.com
    Updated Jun 30, 2023
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    AmirHossein Mirzaei (2023). Countries Life Expectancy [Dataset]. https://www.kaggle.com/datasets/amirhosseinmirzaie/countries-life-expectancy
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jun 30, 2023
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    AmirHossein Mirzaei
    License

    https://cdla.io/sharing-1-0/https://cdla.io/sharing-1-0/

    Description

    The research on life expectancy in countries takes the spotlight in the notebook's machine learning model. Substantial data analysis and predictive algorithms are used to uncover the reasons causing differences in longevity among countries. With the aid of strong statistical tools, valuable insights into the complex link between healthcare, socioeconomic factors, and life expectancy are sought |Description|Column| |:------:|:--------:| |Country under study|Country| |year|Year| |Status of the country's development|Status| |Population of country|Population| |Percentage of people finally one year old who were immunized against hepatitis B|Hepatitis B| |The number of reported measles cases per 1000 people|Measles| |Percentage of 1-year-olds immunized against polio|Polio| |Percentage of people finally one year old who were immunized against diphtheria|Diphtheria| |The number of deaths caused by AIDS of the last 4-year-olds who were born alive per 1000 people|HIV/AIDS| |The number of infant deaths per 1000 people|infant deaths| |he number of deaths of people under 5 years old per 1000 people|under-five deaths| |The ratio of government medical-health expenses to total government expenses in percentage|Total expenditure| |Gross domestic product|GDP| |The average body mass index of the entire population of the country|BMI| |Prevalence of thinness among people 19 years old in percentage|thinness 1-19 years| |Liters of alcohol consumption among people over 15 years old|Alcohol| |The number of years that people study|Schooling| |Country life expectancy|Life expectancy [target variable]|

  18. e

    Concepts of AIDS in Germany: Stability and Change - Dataset - B2FIND

    • b2find.eudat.eu
    Updated Sep 22, 2018
    + more versions
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    (2018). Concepts of AIDS in Germany: Stability and Change - Dataset - B2FIND [Dataset]. https://b2find.eudat.eu/dataset/a29c1f88-4070-5a7c-9bc3-2e7f617136f9
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    Dataset updated
    Sep 22, 2018
    Area covered
    Germany
    Description

    Assessment of the dangers from AIDS. Attitude to the social consequences of AIDS. Topics: 1. As oral survey: general assessment of the dangers and temptations for young people in large cities; assessment of the danger of AIDS infection in large cities; expected jeopardy from crime in Germany to the extent of American cities; probability of personally isolating oneself in future due to AIDS; assessment of the degree of infection of selected illnesses; attitude to handicapped and sick persons; importance and consciousness of the dangers from AIDS; assumed effectiveness of possibilities of protection against AIDS; perceived threat to personal circle of friends and family from selected illnesses; perceived threat from technical developments such as nuclear energy, gene technology as well as from the ozone hole and environmental pollution; attitude to AIDS and the AIDS-infected as well as attributing blame to the primary risk groups; satisfaction with the German public health system; earning money or helping as primary motive among those active in the public health system; risk of HIV infection in the hospital; self-assessment of the certainty with which one would recognize someone infected with HIV; trust in the public health system and especially in blood preparations and blood transfusions after the so-called blood scandal in which AIDS-infected blood preparations came into use; influence of AIDS on daily behavior with people as well as feeling of safety; dealing with the AIDS-infected or isolation; state of knowledge about possibilities of infection with AIDS; active or casual gathering of information on AIDS; tolerance or isolation of the AIDS-infected (scale); compulsory measures or education as promising measures against AIDS; attitude to selected measures to combat AIDS (scale); willingness to help regarding AIDS-infected people; preference for protection of privacy of AIDS patients or protection of the healthy at the cost of those infected with AIDS; trust in statements of science regarding the familiar paths of infection of AIDS; general assessment of the AIDS problem for the respondent; thoughts of AIDS infection with intimate contacts with random acquaintances; use of condom; attitude to use of condom with future relations with unknown partners; not using a condom only after an AIDS test. 2. As a written form to be filled out the respondent answered the following: psychological self-characterization: fatalism or personal responsibility (scale); attitude to condom use and fidelity in a partnership; information on sexual conduct in the last 12 months with changing partners and random acquaintances. 3. Demography: sex; month of birth; year of birth; school education; age at leaving the school providing all-round education; vocational training; full-time employment; occupational position; employment in the civil service; marital status; living together with a partner; self-assessment of social class; religious denomination; religiousness; election participation at the last Federal Parliament election and second vote; party preference (Sunday question); size of household; composition of household; net income; number of person contributing to household income; number of employed in household and total household income; origins from the GDR or the old Federal Republic; possession of a telephone. Einschätzung der Gefahren durch AIDS. Einstellung zu den gesellschaftlichen Folgen von AIDS. Themen: 1. Als mündliche Befragung: Allgemeine Einschätzung der Gefahren und Versuchungen junger Menschen in Großstädten; Einschätzung der AIDS-Ansteckungsgefahr in großen Städten; erwartete Kriminalitätsgefährdung in Deutschland im Ausmaß von amerikanischen Städten; Wahrscheinlichkeit einer zukünftigen persönlichen Abschottung wegen AIDS; Einschätzung des Ansteckungsgrades ausgewählter Krankheiten; Einstellung zu Behinderten und Kranken; Zentralität und Bewußtheit der Gefahren durch AIDS; vermutete Wirksamkeit der Schutzmöglichkeiten vor AIDS; empfundene Bedrohung des eigenen Freundeskreises und der Familie durch ausgewählte Krankheiten; empfundene Bedrohung durch technische Entwicklungen wie Kernenergie, Gentechnologie sowie durch das Ozonloch und die Umweltverschmutzung; Einstellung zu AIDS und AIDS-Infizierten sowie Schuldzuschreibung zu Hauptrisikogruppen; Zufriedenheit mit dem deutschen Gesundheitssystem; Geldverdienen oder Helfen als Hauptmotiv bei den im Gesundheitssystem Tätigen; HIV-Infektionsgefahr im Krankenhaus; Selbsteinschätzung der Sicherheit, mit der man einen HIV-Infizierten erkennen würde; Vertrauen in das Gesundheitssystem und speziell in Blutpräparate und Bluttransfusionen nach dem sogenannten Blutskandal, bei dem AIDS-infizierte Blutpräparate in den Handel kamen; Einfluß von AIDS auf den täglichen Umgang mit Menschen sowie Sicherheitsempfinden; Umgang mit AIDS-Infizierten oder Ausgrenzung; Kenntnisstand über die Ansteckungsmöglichkeiten mit AIDS; aktive oder beiläufige Informationsbeschaffung über AIDS; Toleranz oder Ausgrenzung von AIDS-Infizierten (Skala); Zwangsmaßnahmen oder Aufklärung als erfolgversprechende Maßnahmen gegen AIDS; Einstellung zu ausgewählten Maßnahmen zur AIDS-Bekämpfung (Skala); Hilfsbereitschaft gegenüber AIDS-Infizierten; Präferenz für Persönlichkeitsschutz der AIDS-Kranken oder Schutz der Gesunden auf Kosten der AIDS-Infizierten; Vertrauen in die Aussagen der Wissenschaft bezüglich der bekannten Ansteckungswege von AIDS; allgemeine Einschätzung des AIDS-Problems für den Befragten; Gedanken an AIDS-Ansteckung bei Intimkontakten mit Zufallsbekanntschaften; Kondomverwendung; Einstellung zur Kondombenutzung bei zukünftigen Beziehungen mit unbekannten Partnern; Verzicht auf Kondombenutzung erst nach AIDS-Test. 2. Als schriftlicher Selbstausfüller wurde vom Befragten beantwortet: Psychologische Selbstcharakterisierung: Fatalismus oder Eigenverantwortlichkeit (Skala); Einstellung zur Kondombenutzung und zur Treue in der Partnerschaft; Angaben über das Sexualverhalten in den letzten 12 Monaten mit wechselnden Partnern und Zufallsbekanntschaften. 3. Demographie: Geschlecht; Geburtsmonat; Geburtsjahr; Schulbildung; Alter beim Verlassen der allgemeinbildenden Schule; Berufsausbildung; Vollzeitbeschäftigung; berufliche Position; Beschäftigung im öffentlichen Dienst; Familienstand; Zusammenleben mit einem Partner; Selbsteinschätzung der Schichtzugehörigkeit; Konfession; Religiosität; Wahlbeteiligung bei der letzten Bundestagswahl und abgegebene Zweitstimme; Parteipräferenz (Sonntagsfrage); Haushaltsgröße; Haushaltszusammensetzung; Nettoeinkommen; Anzahl der Personen, die am Haushaltseinkommen beitragen; Anzahl der Erwerbstätigen im Haushalt und gesamtes Haushaltseinkommen; Herkunft aus der DDR oder der alten Bundesrepublik; Telefonbesitz.

  19. e

    AIDS in the Public Consciousness of the Federal Republic 1987-1990...

    • b2find.eudat.eu
    Updated May 6, 2023
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    (2023). AIDS in the Public Consciousness of the Federal Republic 1987-1990 (Cumulated Data Set) - Dataset - B2FIND [Dataset]. https://b2find.eudat.eu/dataset/09f1024e-d6b3-5937-a8f5-275d2e707156
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    Dataset updated
    May 6, 2023
    Description

    Knowledge about AIDS, readiness for protection against AIDS, attitude to HIV-infected people. Topics: Satisfaction with personal condition of health; greatest health dangers for the German population; most dangerous illnesses in the Federal Republic; knowledge about the illness AIDS; knowledge about AIDS; use of sources of information about AIDS; assessment of the danger originating with AIDS; assessment of the danger of infection with AIDS in selected situations (scale); assumed number of HIV-infected people in the Federal Republic; knowledge about the abbreviation for the cause of AIDS; conducting an HIV test; desired or received counseling before conducting an HIV test; risk groups; personal contact with AIDS patients or HIV-infected people; behavioral changes or changes in daily dealing with people due to the danger of AIDS; concern for personal AIDS illness or AIDS illness in one´s circle of friends; assessment of the personal risk of infection due to sexual intercourse; participation in an AIDS consultation as well as place of consultation; conversations with one´s partner about protective measures in sexual intercourse; expectation of a new intimate relation in the next few months and intent to talk with the new partner about the topic of AIDS; sexual activity; changing sex partners in the last 12 months; attitude to use of condoms and other protective measures; consequences of the AIDS danger for personal sexual behavior; attitude to open reporting about possible protective measures; attitude to compulsory registration by name and assumed consequences with introduction of such a compulsory registration; attitude to legal obligation for HIV tests; readiness for financial support of AIDS advice and AIDS help institutions; personal willingness to care for HIV-infected people; attitude to isolation of AIDS patients; expected influence of the AIDS problem on prejudices regarding homosexuals; influence of AIDS on sexual morals; subjective extent to which informed about protective measures; desire for additional information about the topic of AIDS; living together with a partner; self-classification of religiousness; party preference. Wissen über Aids, Bereitschaft zum Schutz vor Aids, Einstellung zu HIV-Infizierten. Kumulierter Datensatz der jährlich durchgeführten Untersuchung. Themen: Zufriedenheit mit dem eigenen Gesundheitszustand; größte Gesundheitsgefahren für die deutsche Bevölkerung; gefährlichste Krankheiten in der Bundesrepublik; Kenntnis der Krankheit Aids; Wissen über Aids; Nutzung von Informationsquellen über Aids; Einschätzung der von Aids ausgehenden Gefahr; Einschätzung der Ansteckungsgefahr von Aids in ausgewählten Situationen (Skala); vermutete Anzahl von HIVInfizierten in der Bundesrepublik; Kenntnis der Abkürzung für den Aids-Erreger; Durchführung eines HIV-Tests; gewünschte bzw. erhaltene Beratungsleistungen vor der Durchführung eines HIV-Tests; Risikogruppen; eigener Kontakt zu Aids-Kranken bzw. HIV-Infizierten; Verhaltensänderungen bzw. Veränderungen im täglichen Umgang mit Menschen aufgrund der Aids-Gefahr; Sorge vor einer eigenen Aids-Erkrankung bzw. einer Aids-Erkrankung im Bekanntenkreis; Einschätzung der eigenen Infektionsgefahr aufgrund von Geschlechtsverkehr; Teilnahme an einer Aids-Beratung sowie Beratungsort; Gespräche mit dem eigenen Partner über Schutzmaßnahmen beim Geschlechtsverkehr; Erwartung einer neuen Intimbeziehung in den nächsten Monaten und Absicht, mit dem neuen Partner über das Thema Aids zu sprechen; sexuelle Aktivität; wechselnde Geschlechtspartner in den letzten 12 Monaten; Einstellung zur Verwendung von Kondomen und zu anderen Schutzmaßnahmen; Konsequenzen der Aids-Gefahr für das eigene Sexualverhalten; Einstellung zu einer offenen Berichterstattung über mögliche Schutzmaßnahmen; Einstellung zur namentlichen Meldepflicht und vermutete Konsequenzen bei Einführung einer solchen Meldepflicht; Einstellung zur gesetzlichen Verpflichtung zu HIV-Tests; Bereitschaft zur finanziellen Unterstützung von Aids-Beratungs- und Aids-Hilfsinstitutionen; eigene Bereitschaft zur Betreuung von HIV-Infizierten; Einstellung zur Isolierung von Aids-Kranken; vermuteter Einfluß der Aids-Problematik auf die Vorurteile gegenüber Homosexuellen; Einfluß von Aids auf die Sexualmoral; subjektiver Informiertheitsgrad über Schutzmaßnahmen; Wunsch nach zusätzlichen Informationen über das Thema Aids; Zusammenleben mit einem Partner; Selbsteinstufung der Religiosität; Parteipräferenz. The sample of persons to be interviewed took place according to a random procedure in which computer-generated random numbers were used as telephone numbers with subsequent random selection of the persons to be interviewed in the household. Die Auswahl der zu befragenden Personen erfolgte nach einem Zufallsverfahren, bei dem computergenerierte Zufallszahlen als Telefonnummern verwendet wurden, mit anschließender Zufallsauswahl der jeweils im Haushalt zu befragenden Personen.

  20. e

    AIDS and the Social Consequences (Representative Survey East, Winter...

    • b2find.eudat.eu
    Updated Jul 2, 2023
    + more versions
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    (2023). AIDS and the Social Consequences (Representative Survey East, Winter 1991/1992) - Dataset - B2FIND [Dataset]. https://b2find.eudat.eu/dataset/5e3b8b47-4272-59f1-8951-0c1e76beffb6
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    Dataset updated
    Jul 2, 2023
    Description

    Assessment of the dangers from AIDS. Attitude to the social consequences of AIDS. Topics: 1. as oral survey: degree of urbanization of place of residence; general assessment of dangers and temptations for young people in large cities; assessment of the danger of AIDS infection in large cities; expected risk of crime in Germany in the extent of American cities; probability of future personal isolation due to AIDS; assessment of current and future social menace from AIDS; general attitude to the handicapped and illnesses as well as perceived feeling of threat from AIDS and readiness for risk (scale); personal ideas on AIDS prevention; centrality of the illness AIDS in the ideas of respondent in comparison to other illness risks; dealing with AIDS and assignment of blame to fringe groups (scale); perceived threat from AIDS in one´s family and circle of friends; influence of AIDS on daily behavior with people as well as feeling of safety; dealing with AIDS patients or isolation (scale); state of knowledge about possibilities of infection with AIDS; state of knowledge about the number of AIDS-infected people in Germany; active or casual gathering of information on AIDS; assessment of danger of AIDS-infection in selected situations in daily life; attitude to selected statements on social as well as personal dealing with AIDS (scale); governmental or personal responsibility for protection from AIDS and assumed attitude of the population on this question; compulsory measures or education as promising measure to contain AIDS as well as assumed attitude of the population on this question; attitude to compulsory registration, to entry prohibition for AIDS-infected people as well as compulsory tests for main risk groups or for everyone as well as assumed attitude of the population on this question; government, health insurance companies or those impacted themselves as bearers of the costs for care of AIDS patients; willingness to pay higher health insurance fees for care of AIDS-infected people and AIDS patients; attitude to a special AIDS tax for everyone; preferred compulsory measures to protect the healthy against AIDS-infected people (scale) and assumed view of the population on these questions; preference for privacy protection for AIDS patients or protection of the healthy at the cost of AIDS-infected people; assumed general overestimate or underestimate of the AIDS danger in Germany. 2. As written form to be filled out the respondent answered the following: AIDS-infected people in one´s circle of friends; perceived certainty currently and in the future of respondent´s not being infected with AIDS; promiscuity and marital fidelity (scale); information on sexual behavior in the last 12 months with changing partners and random acquaintances; consciousness of the danger of AIDS infection and considerations for protection; condom use; attitude to condom use in future relations with unknown partners. 3. Demography: sex; age in years; school education; vocational training; employment; occupational position; marital status; self-assessment of social class; religious denomination; religiousness; party preference; income; size of household; composition of household; household income; telephone; possession of telephone answering device. Einschätzung der Gefahren durch AIDS. Einstellung zu den gesellschaftlichen Folgen von AIDS. Themen: 1. Als mündliche Befragung: Urbanisierungsgrad des Wohnortes; allgemeine Einschätzung der Gefahren und Versuchungen junger Menschen in Großstädten; Einschätzung der AIDS-Ansteckungsgefahr in großen Städten; erwartete Kriminalitätsgefährdung in Deutschland im Ausmaß von amerikanischen Städten; Wahrscheinlichkeit einer zukünftigen persönlichen Abschottung wegen AIDS; Einschätzung einer gegenwärtigen und zukünftigen gesellschaftlichen Bedrohung durch AIDS; allgemeine Einstellung zu Behinderten und Krankheiten sowie empfundenes Bedrohtheitsgefühl durch AIDS und Risikobereitschaft (Skala); persönliche Vorstellungen zur AIDS-Prävention; Zentralität der Krankheit AIDS in den Vorstellungen des Befragten im Vergleich zu übrigen Krankheitsrisiken; Umgang mit AIDS und Schuldzuschreibung zu Randgruppen (Skala); empfundene Bedrohung durch AIDS im eigenen Familien- und Freundeskreis; Einfluß von AIDS auf den täglichen Umgang mit Menschen sowie Sicherheitsempfinden; Umgang mit AIDS-Kranken oder Ausgrenzung (Skala); Kenntnisstand über Ansteckungsmöglichkeiten mit AIDS; Kenntnisstand über die Anzahl der AIDS-Infizierten in Deutschland; aktive oder beiläufige Informationsbeschaffung über AIDS; Einschätzung der Ansteckungsgefahr mit AIDS in ausgewählten Alltagssituationen; Einstellung zu ausgewählten Aussagen zum gesellschaftlichen wie auch persönlichen Umgang mit AIDS (Skala); staatliche oder persönliche Verantwortung für den Schutz vor AIDS und vermutete Einstellung der Bevölkerung in dieser Frage; Zwangsmaßnahmen oder Aufklärung als erfolgsversprechende Maßnahme zur Eindämmung von AIDS sowie vermutete Einstellung der Bevölkerung in dieser Frage; Einstellung zur Meldepflicht, zu Einreiseverboten von AIDS-Infizierten sowie Zwangstests für die Hauptrisikogruppen bzw. für alle sowie vermutete Einstellung der Bevölkerung in dieser Frage; Staat, Krankenkassen oder die betroffenen selbst als Kostenträger für die Betreuung von AIDS-Kranken; Bereitschaft zur Zahlung höherer Krankenkassenbeiträge zur Betreuung von AIDS-Infizierten und AIDS-Kranken; Einstellung zu einer AIDS-Sonderabgabe für alle; präferierte Zwangsmaßnahmen zum Schutz von Gesunden vor AIDS-Infizierten (Skala) und vermutete Ansicht der Bevölkerung zu diesen Fragen; Präferenz für Persönlichkeitsschutz der AIDS-Kranken oder Schutz der Gesunden auf Kosten der AIDS-Infizierten; vermutete allgemeine Überschätzung bzw. Unterschätzung der AIDS-Gefahr in Deutschland. 2. Als schriftlicher Selbstausfüller wurde vom Befragten beantwortet: AIDS-Infizierte im Bekanntenkreis; empfundene Sicherheit der gegenwärtigen und zukünftigen Nichtansteckung des Befragten mit AIDS; Promiskuität und eheliche Treue (Skala); Angaben über das Sexualverhalten in den letzten 12 Monaten mit wechselnden Partnern und Zufallsbekanntschaften; Bewußtsein der Gefahr einer AIDS-Ansteckung und Schutzüberlegungen; Kondombenutzung; Einstellung zur Kondombenutzung bei zukünftigen Beziehungen zu unbekannten Partnern. 3. Demographie: Geschlecht; Alter in Jahren; Schulbildung; Berufsausbildung; Berufstätigkeit; berufliche Position; Familienstand; Selbsteinschätzung der Schichtzugehörigkeit; Konfession; Religiosität; Parteipräferenz; Einkommen; Haushaltsgröße; Haushaltszusammensetzung; Haushaltseinkommen; Telefonanschluß; Besitz eines Anrufbeantworters.

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California Department of Public Health (2024). HIV/AIDS Cases [Dataset]. https://data.chhs.ca.gov/dataset/hiv-aids-cases
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HIV/AIDS Cases

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xlsx(18441), xlsx(15897), xlsx(18803), xlsx, zipAvailable download formats
Dataset updated
Aug 28, 2024
Dataset authored and provided by
California Department of Public Healthhttps://www.cdph.ca.gov/
Description

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.

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