17 datasets found
  1. d

    COVID-19 Cases and Deaths by Race/Ethnicity - ARCHIVE

    • catalog.data.gov
    • data.ct.gov
    • +1more
    Updated Aug 12, 2023
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    data.ct.gov (2023). COVID-19 Cases and Deaths by Race/Ethnicity - ARCHIVE [Dataset]. https://catalog.data.gov/dataset/covid-19-cases-and-deaths-by-race-ethnicity
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    Dataset updated
    Aug 12, 2023
    Dataset provided by
    data.ct.gov
    Description

    Note: DPH is updating and streamlining the COVID-19 cases, deaths, and testing data. As of 6/27/2022, the data will be published in four tables instead of twelve. The COVID-19 Cases, Deaths, and Tests by Day dataset contains cases and test data by date of sample submission. The death data are by date of death. This dataset is updated daily and contains information back to the beginning of the pandemic. The data can be found at https://data.ct.gov/Health-and-Human-Services/COVID-19-Cases-Deaths-and-Tests-by-Day/g9vi-2ahj. The COVID-19 State Metrics dataset contains over 93 columns of data. This dataset is updated daily and currently contains information starting June 21, 2022 to the present. The data can be found at https://data.ct.gov/Health-and-Human-Services/COVID-19-State-Level-Data/qmgw-5kp6 . The COVID-19 County Metrics dataset contains 25 columns of data. This dataset is updated daily and currently contains information starting June 16, 2022 to the present. The data can be found at https://data.ct.gov/Health-and-Human-Services/COVID-19-County-Level-Data/ujiq-dy22 . The COVID-19 Town Metrics dataset contains 16 columns of data. This dataset is updated daily and currently contains information starting June 16, 2022 to the present. The data can be found at https://data.ct.gov/Health-and-Human-Services/COVID-19-Town-Level-Data/icxw-cada . To protect confidentiality, if a town has fewer than 5 cases or positive NAAT tests over the past 7 days, those data will be suppressed. COVID-19 cases and associated deaths that have been reported among Connecticut residents, broken down by race and ethnicity. All data in this report are preliminary; data for previous dates will be updated as new reports are received and data errors are corrected. Deaths reported to the either the Office of the Chief Medical Examiner (OCME) or Department of Public Health (DPH) are included in the COVID-19 update. The following data show the number of COVID-19 cases and associated deaths per 100,000 population by race and ethnicity. Crude rates represent the total cases or deaths per 100,000 people. Age-adjusted rates consider the age of the person at diagnosis or death when estimating the rate and use a standardized population to provide a fair comparison between population groups with different age distributions. Age-adjustment is important in Connecticut as the median age of among the non-Hispanic white population is 47 years, whereas it is 34 years among non-Hispanic blacks, and 29 years among Hispanics. Because most non-Hispanic white residents who died were over 75 years of age, the age-adjusted rates are lower than the unadjusted rates. In contrast, Hispanic residents who died tend to be younger than 75 years of age which results in higher age-adjusted rates. The population data used to calculate rates is based on the CT DPH population statistics for 2019, which is available online here: https://portal.ct.gov/DPH/Health-Information-Systems--Reporting/Population/Population-Statistics. Prior to 5/10/2021, the population estimates from 2018 were used. Rates are standardized to the 2000 US Millions Standard population (data available here: https://seer.cancer.gov/stdpopulations/). Standardization was done using 19 age groups (0, 1-4, 5-9, 10-14, ..., 80-84, 85 years and older). More information about direct standardization for age adjustment is available here: https://www.cdc.gov/nchs/data/statnt/statnt06rv.pdf Categories are mutually exclusive. The category “multiracial” includes people who answered ‘yes’ to more than one race category. Counts may not add up to total case counts as data on race and ethnicity may be missing. Age adjusted rates calculated only for groups with more than 20 deaths. Abbreviation: NH=Non-Hispanic. Data on Connecticut deaths were obtained from the Connecticut Deaths Registry maintained by the DPH Office of Vital Records. Cause of death was determined by a death certifier (e.g., physician, APRN, medical

  2. Cancer Registration Data

    • healthdatagateway.org
    unknown
    Updated Apr 8, 2021
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    NHS ENGLAND (2021). Cancer Registration Data [Dataset]. https://healthdatagateway.org/en/dataset/880
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    unknownAvailable download formats
    Dataset updated
    Apr 8, 2021
    Dataset provided by
    National Health Servicehttps://www.nhs.uk/
    Authors
    NHS ENGLAND
    License

    https://digital.nhs.uk/services/data-access-request-service-darshttps://digital.nhs.uk/services/data-access-request-service-dars

    Description

    The National Cancer Registration and Analysis Service (NCRAS) at Public Health England supplies cancer registration data to NHS Digital. This data is available to be linked to other data held by NHS Digital in order to provide notifications on an individual's cancer status, be available to support research studies and to identify potential research participants for clinical trials.

    NCRAS is the population-based cancer registry for England. It collects, quality assures and analyses data on all people living in England who are diagnosed with malignant and pre-malignant neoplasms, with national coverage since 1971.

    The Cancer Registration dataset comprises England data to the present day, and Welsh data up to April 2017.

    Timescales for dissemination of agreed data can be found under 'Our Service Levels' at the following link: https://digital.nhs.uk/services/data-access-request-service-dars/data-access-request-service-dars-process Standard response

  3. Leading causes of death, total population, by age group

    • www150.statcan.gc.ca
    • open.canada.ca
    Updated Feb 19, 2025
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    Government of Canada, Statistics Canada (2025). Leading causes of death, total population, by age group [Dataset]. http://doi.org/10.25318/1310039401-eng
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    Dataset updated
    Feb 19, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Rank, number of deaths, percentage of deaths, and age-specific mortality rates for the leading causes of death, by age group and sex, 2000 to most recent year.

  4. f

    The associations of sitting time and physical activity on total and...

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    pdf
    Updated Jun 1, 2023
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    Vegar Rangul; Erik R. Sund; Paul Jarle Mork; Oluf Dimitri Røe; Adrian Bauman (2023). The associations of sitting time and physical activity on total and site-specific cancer incidence: Results from the HUNT study, Norway [Dataset]. http://doi.org/10.1371/journal.pone.0206015
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    pdfAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Vegar Rangul; Erik R. Sund; Paul Jarle Mork; Oluf Dimitri Røe; Adrian Bauman
    License

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

    Area covered
    Norway
    Description

    BackgroundSedentary behavior is thought to pose different risks to those attributable to physical inactivity. However, few studies have examined the association between physical activity and sitting time with cancer incidence within the same population.MethodsWe followed 38,154 healthy Norwegian adults in the Nord-Trøndelag Health Study (HUNT) for cancer incidence from 1995–97 to 2014. Cox proportional hazards regression was used to estimate risk of site-specific and total cancer incidence by baseline sitting time and physical activity.ResultsDuring the 16-years follow-up, 4,196 (11%) persons were diagnosed with cancer. We found no evidence that people who had prolonged sitting per day or had low levels of physical activity had an increased risk of total cancer incidence, compared to those who had low sitting time and were physically active. In the multivariate model, sitting ≥8 h/day was associated with 22% (95% CI, 1.05–1.42) higher risk of prostate cancer compared to sitting 16.6 MET-h/week). The joint effects of physical activity and sitting time the indicated that prolonged sitting time increased the risk of CRC independent of physical activity in men.ConclusionsOur findings suggest that prolonged sitting and low physical activity are positively associated with colorectal-, prostate- and lung cancer among men. Sitting time and physical activity were not associated with cancer incidence among women. The findings emphasizing the importance of reducing sitting time and increasing physical activity.

  5. f

    DataSheet_1_“Sugar-Sweetened Beverages” Is an Independent Risk From...

    • datasetcatalog.nlm.nih.gov
    • frontiersin.figshare.com
    Updated Apr 7, 2022
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    Hsu, Chung Y.; Wu, Xifeng; Tsai, Min Kuang; Lin, Ro-Ting; Chen, Chien Hua; Wen, Chi Pang; Lee, June Han; Chu, Ta-Wei; Wen, Christopher (2022). DataSheet_1_“Sugar-Sweetened Beverages” Is an Independent Risk From Pancreatic Cancer: Based on Half a Million Asian Cohort Followed for 25 Years.docx [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0000269582
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    Dataset updated
    Apr 7, 2022
    Authors
    Hsu, Chung Y.; Wu, Xifeng; Tsai, Min Kuang; Lin, Ro-Ting; Chen, Chien Hua; Wen, Chi Pang; Lee, June Han; Chu, Ta-Wei; Wen, Christopher
    Description

    Although the link between sugar-sweetened beverages (SSB) and pancreatic cancer has been suggested for its insulin-stimulating connection, most epidemiological studies showed inconclusive relationship. Whether the result was limited by sample size is explored. This prospective study followed 491,929 adults, consisting of 235,427 men and 256,502 women (mean age: 39.9, standard deviation: 13.2), from a health surveillance program and there were 523 pancreatic cancer deaths between 1994 and 2017. The individual identification numbers of the cohort were matched with the National Death file for mortality, and Cox models were used to assess the risk. The amount of SSB intake was recorded based on the average consumption in the month before interview by a structured questionnaire. We classified the amount of SSB intake into 4 categories: 0–<0.5 serving/day, ≥0.5–<1 serving per day, ≥1–<2 servings per day, and ≥2 servings per day. One serving was defined as equivalent to 12 oz and contained 35 g added sugar. We used the age and the variables at cohort enrolment as the reported risks of pancreatic cancers. The cohort was divided into 3 age groups, 20–39, 40–59, and ≥60. We found young people (age <40) had higher prevalence and frequency of sugar-sweetened beverages than the elderly. Those consuming 2 servings/day had a 50% increase in pancreatic cancer mortality (HR = 1.55, 95% CI: 1.08–2.24) for the total cohort, but a 3-fold increase (HR: 3.09, 95% CI: 1.44–6.62) for the young. The risk started at 1 serving every other day, with a dose–response relationship. The association of SSB intake of ≥2 servings/day with pancreatic cancer mortality among the total cohort remained significant after excluding those who smoke or have diabetes (HR: 2.12, 97% CI: 1.26–3.57), are obese (HR: 1.57, 95% CI: 1.08–2.30), have hypertension (HR: 1.90, 95% CI: 1.20–3.00), or excluding who died within 3 years after enrollment (HR: 1.67, 95% CI: 1.15–2.45). Risks remained in the sensitivity analyses, implying its independent nature. We concluded that frequent drinking of SSB increased pancreatic cancer in adults, with highest risk among young people.

  6. e

    Life Before Death, 1987 - Dataset - B2FIND

    • b2find.eudat.eu
    Updated Apr 27, 2023
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    (2023). Life Before Death, 1987 - Dataset - B2FIND [Dataset]. https://b2find.eudat.eu/dataset/646e919c-0947-51b2-bf74-df3fddcac6a3
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    Dataset updated
    Apr 27, 2023
    Description

    To describe the last year in the lives of a random sample of adults dying in 1987. 2. To make comparisons with an earlier study and identify change in the nature and availability of care and in the attitudes and expectations of lay and professional carers. 3. To make some assessment of the influence of the hospice movement on these changes. 4. To describe in more detail than the previous 1969 study, the institutional care of people in the year preceeding their death. 5. To determine the experience and views of the doctors and nurses involved in the care of these people in the last year of their lives. 6. To describe the care and support given to close relatives both after and before the death. An earlier study Life Before Death, 1969 is held at the Data Archive as Study No. 393. Main Topics: Methodological issues in studying life before death; the roles of professionals, hospitals, hospices, residential and nursing homes, and day centres in caring for the dying; the balance of care; hospice deaths and cancer deaths; experiences of those who died and those who cared for them; changes since 1969. Characteristics of the general practitioners were obtained from DHSS data. One-stage stratified or systematic random sample Local authority areas (or combinations for small numbers of deaths) chosen after stratification into 3 groups: (1) with no hospice or hospice service (2) hospice service but no beds (3) hospice service with beds. For further details see documentation. Face-to-face interview Telephone interview Postal survey Questionnaire interview with person who knew most about those who died; postal questionnaire to general practitioners and consultants about views and experiences; Face to face, postal and telephone interviewing was used for community nurses.

  7. Data from: Chest Xray Images

    • kaggle.com
    Updated Apr 3, 2021
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    Jamie Dowat (2021). Chest Xray Images [Dataset]. https://www.kaggle.com/jamiedowat/chest-xray-images-guangzhou-women-and-childrens/code
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 3, 2021
    Dataset provided by
    Kaggle
    Authors
    Jamie Dowat
    Description

    Context

    According to the American Thoracic Society and the American Lung Association:

    Pneumonia is the world’s leading cause of death among children under 5 years of age.

    Pneumonia killed approximately 2,400 children a day in 2015.

    Pneumonia killed an estimated 880,000 children under the age of five in 2016.

    More than 150,000 people are estimated to die from lung cancer each year.

    Infections, including pneumonia, are the second most common cause of death in people with lung cancer.

    From a recent study by the Association of American Medical Colleges (AAMC):

    “The physician workforce shortages that our nation is facing are being felt even more acutely as we mobilize on the front lines to combat the COVID-19 national emergency.” --David J. Skorton, MD, AAMC president and CEO

    The demographic that is going to suffer most from this shortage is patients over age 65: "While the national population is projected to grow by 10.4% during the 15 years covered by the study, the over-65 population is expected to grow by 45.1%."

    Content

    For the original dataset, click here.

    For the sorted dataset needed to run this notebook, click here.

    • CONTENT: 5856 Posterior to Anterior (PA) Chest X-ray images from pediatric patients of one to five years old from Guangzhou Women and Children’s Medical Center, Guangzhou. All chest X-ray imaging was performed as part of patients’ routine clinical care.

    • PROCESS: “For the analysis of chest X-ray images, all chest radiographs were initially screened for quality control by removing all low quality or unreadable scans. The diagnoses for the images were then graded by two expert physicians before being cleared for training the AI system. In order to account for any grading errors, the evaluation set was also checked by a third expert.” (page 12)

    Acknowledgements

    Here's a link to an example project using this dataset: https://github.com/Luv2bnanook44/flatiron_phase4_project

    This dataset was preprocessed from this Kaggle dataset from Paul Mooney: https://www.kaggle.com/paultimothymooney/chest-xray-pneumonia

  8. Dataset from An Open Label, Phase Ia/Ib Dose Finding Study With BI 894999...

    • data.niaid.nih.gov
    Updated Jul 28, 2025
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    Boehringer Ingelheim (2025). Dataset from An Open Label, Phase Ia/Ib Dose Finding Study With BI 894999 Orally Administered Once a Day in Patients With Advanced Malignancies, With Repeated Administration in Patients With Clinical Benefit [Dataset]. http://doi.org/10.25934/PR00011453
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    Dataset updated
    Jul 28, 2025
    Dataset authored and provided by
    Boehringer Ingelheimhttp://boehringer-ingelheim.com/
    Area covered
    Belgium, Korea, Republic of, France, Spain, Germany, United States
    Variables measured
    Survival, Overall Survival, Dose response measure, Dose Limiting Toxicity, Progression-Free Survival, Prostate Specific Antigen
    Description

    This study is open to adults with different types of advanced cancer (solid tumours). The study is also open to patients with diffuse large B-cell lymphoma in whom previous treatment was not successful. In some countries, adolescents who are at least 15 years old and who are diagnosed with NUT carcinoma can also participate. No standard treatment exists for this rare and aggressive form of cancer.The purpose of this study is to find out the highest dose of BI 894999 that people can tolerate.BI 894999 is tested for the first time in humans. Participants take tablets once daily. The study also tests whether participants can tolerate BI 894999 better when taken continuously or with breaks in between.Participants can stay in the study as long as they benefit from the treatment and can tolerate it.The doctors also regularly check the general health of the participants.

  9. Fruit and Vegetable Consumption, Region - Dataset - data.gov.uk

    • ckan.publishing.service.gov.uk
    Updated Jun 9, 2025
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    ckan.publishing.service.gov.uk (2025). Fruit and Vegetable Consumption, Region - Dataset - data.gov.uk [Dataset]. https://ckan.publishing.service.gov.uk/dataset/fruit-and-vegetable-consumption-region
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    Dataset updated
    Jun 9, 2025
    Dataset provided by
    CKANhttps://ckan.org/
    Description

    Age-standardised proportion of adults (16+) who met the recommended guidelines of consuming five or more portions of fruit and vegetables a day by gender. To help reduce the risk of deaths from chronic diseases such as heart disease, stroke, and cancer. The Five-a-day programme was introduced to increase fruit and vegetable consumption within the general population. Its central message is that people should eat at least five portions of fruit and vegetables a day; that a variety of fruit and vegetables should be consumed and that fresh, frozen, canned and dried fruit, vegetables and pulses all count in making up these portions. The programme includes educational initiatives to increase awareness of the Five-a-day message and the benefits of fruit and vegetable consumption, along with more direct schemes to increase access to fruit and vegetables, such as the school fruit scheme and community initiatives. Monitoring of fruit and vegetable consumption is key to evaluating the success of the policy, both at the level of individual schemes and at a more general level. The England average, at the 95% confidence level (LCL = lower confidence interval; UCL = upper confidence interval). Related to: National Indicator Library - NHS England Digital (editor note: was https://indicators.ic.nhs.uk/webview/)

  10. e

    ONS Omnibus Survey, November 1997 - Dataset - B2FIND

    • b2find.eudat.eu
    Updated Nov 15, 1997
    + more versions
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    (1997). ONS Omnibus Survey, November 1997 - Dataset - B2FIND [Dataset]. https://b2find.eudat.eu/dataset/0465d313-65a2-5b8e-8bda-da57acc72a0f
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    Dataset updated
    Nov 15, 1997
    Description

    Abstract copyright UK Data Service and data collection copyright owner.The Opinions and Lifestyle Survey (formerly known as the ONS Opinions Survey or Omnibus) is an omnibus survey that began in 1990, collecting data on a range of subjects commissioned by both the ONS internally and external clients (limited to other government departments, charities, non-profit organisations and academia).Data are collected from one individual aged 16 or over, selected from each sampled private household. Personal data include data on the individual, their family, address, household, income and education, plus responses and opinions on a variety of subjects within commissioned modules. The questionnaire collects timely data for research and policy analysis evaluation on the social impacts of recent topics of national importance, such as the coronavirus (COVID-19) pandemic and the cost of living, on individuals and households in Great Britain. From April 2018 to November 2019, the design of the OPN changed from face-to-face to a mixed-mode design (online first with telephone interviewing where necessary). Mixed-mode collection allows respondents to complete the survey more flexibly and provides a more cost-effective service for customers. In March 2020, the OPN was adapted to become a weekly survey used to collect data on the social impacts of the coronavirus (COVID-19) pandemic on the lives of people of Great Britain. These data are held in the Secure Access study, SN 8635, ONS Opinions and Lifestyle Survey, Covid-19 Module, 2020-2022: Secure Access. From August 2021, as coronavirus (COVID-19) restrictions were lifting across Great Britain, the OPN moved to fortnightly data collection, sampling around 5,000 households in each survey wave to ensure the survey remains sustainable. The OPN has since expanded to include questions on other topics of national importance, such as health and the cost of living. For more information about the survey and its methodology, see the ONS OPN Quality and Methodology Information webpage.Secure Access Opinions and Lifestyle Survey dataOther Secure Access OPN data cover modules run at various points from 1997-2019, on Census religion (SN 8078), cervical cancer screening (SN 8080), contact after separation (SN 8089), contraception (SN 8095), disability (SNs 8680 and 8096), general lifestyle (SN 8092), illness and activity (SN 8094), and non-resident parental contact (SN 8093). See Opinions and Lifestyle Survey: Secure Access for details. Main Topics:Each month's questionnaire consists of two elements: core questions, covering demographic information, are asked each month together with non-core questions that vary from month to month. The non-core questions for this month were: Televisions (Module 177): this module was asked on behalf of the Department of National Heritage, to ascertain how many households have a television that did not work at the time and did not have another TV set that did work, and whether they intended to get the broken television set repaired in the next seven days after the interview took place. ACAS awareness (Module 187): this module was asked on behalf of ACAS, the Advisory, Conciliation and Arbitration Service, who wished to know how many people had heard of them and how many had a realistic idea of what sort of organisation they are and what they do. The module was asked of all respondents in paid employment. Second homes (Module 4): this module was asked on behalf of the Department of Environment, Transport and the Regions (DETR). It has appeared in previous Omnibus surveys in a slightly different form. The module queried respondents on ownership of a second home by any member of the household and reasons for having the second home. Expectation of house price changes (Module 137): this module asks respondents' views on changes to house prices in the next year and next five years. Fire safety (Module 33): this module covers fire safety and was asked in connection with Fire Safety Week. Questions assess awareness of fire risks and fire safety measures the respondent has taken. Lone mothers (Module 184): this module was asked on behalf of the Department of Social Security. The questions were taken from a British attitudes survey and compare attitudes towards mothers living in couples with children of varying ages with attitudes towards lone mothers. Smoking (Module 130): this module assesses people's smoking habits, past and present, attitudes to smoking in different scenarios, and awareness of cigarette advertising. Unemployment risk (Module 183): this module was asked on behalf of the Centre for Research in Social Policy at Loughborough University. The questions were designed to investigate respondents' assessment of the risks of being unemployed, their attitude towards unemployment insurance and their recent experience of unemployment. Contraception (Module 170): the Special Licence version of this module is held under SN 6475. PEPs and TESSAs (Module 185): this module was asked on behalf of the Inland Revenue, to gain more information about the distribution of PEPs and TESSAs and in particular the extent to which the two groups overlap. Multi-stage stratified random sample Face-to-face interview 1997 ACCIDENTS ADULTS ADVERTISING ADVICE AGE ARBITRATION ASTHMA ATTITUDES BANK ACCOUNTS CANCER CARDIOVASCULAR DISE... CAUSES OF DEATH CHILD BENEFITS CHILD CARE CHILD DAY CARE CHILDREN CINEMA COHABITATION COLOUR TELEVISION R... COMPANIES CONFLICT RESOLUTION COOKING EQUIPMENT COSTS COT DEATHS COURTS CREDIT CARD USE CULTURAL EVENTS Consumption and con... DIABETES DISEASES ECONOMIC ACTIVITY ECONOMIC VALUE EDUCATIONAL BACKGROUND ELECTRICAL EQUIPMENT EMPLOYEES EMPLOYMENT EMPLOYMENT CONTRACTS EMPLOYMENT HISTORY EMPLOYMENT PROGRAMMES ETHNIC GROUPS EXPENDITURE Economic conditions... FAMILY MEMBERS FINANCIAL SERVICES FIRE PROTECTION EQU... FULL TIME EMPLOYMENT FURNISHED ACCOMMODA... Family life and mar... GENDER GENERAL PRACTITIONERS GRANTS HEADS OF HOUSEHOLD HEALTH HEALTH CONSULTATIONS HEALTH PROFESSIONALS HEARING HEATING SYSTEMS HOLIDAYS HOME CONTENTS INSUR... HOME OWNERSHIP HOME SELLING HOSPITAL SERVICES HOURS OF WORK HOUSEHOLDS HOUSES HOUSING TENURE HUMAN SETTLEMENT Health behaviour Housing ILL HEALTH INCOME INCOME TAX INDUSTRIES INFLATION INFORMATION MATERIALS INFORMATION SOURCES INHERITANCE INSURANCE INTEREST FINANCE INVESTMENT Income JOB HUNTING JUDGMENTS LAW LABOUR RELATIONS LANDLORDS Labour relations co... MANAGERS MARITAL STATUS MARRIAGE DISSOLUTION MASS MEDIA MEDICAL CENTRES MEDICAL INSURANCE MEDICAL PRESCRIPTIONS MORTGAGES MOTHERS MOTOR VEHICLES ONE PARENT FAMILIES ORGANIZATIONS PARENTS PART TIME EMPLOYMENT PASSIVE SMOKING PENSIONS PERSONNEL PLACE OF RESIDENCE PRESCHOOL CHILDREN PRICES PRIVATE SECTOR PUBLIC HOUSES PUBLIC INFORMATION PUBLIC SERVICE BUIL... RADIO RECRUITMENT RENTED ACCOMMODATION RESPIRATORY TRACT D... RESTAURANTS RETIREMENT SAVINGS SCHOOLCHILDREN SCHOOLS SECOND HOMES SELF EMPLOYED SHOPS SICK LEAVE SMOKING SMOKING CESSATION SMOKING RESTRICTIONS SOCIAL HOUSING SOCIAL SECURITY BEN... SPORTING EVENTS SPOUSE S ECONOMIC A... SPOUSE S EMPLOYMENT SPOUSES STATE AID SUPERVISORS Social behaviour an... TELEPHONE HELP LINES TELEVISION ADVERTISING TELEVISION RECEIVERS TERMINATION OF SERVICE TIED HOUSING TOBACCO TRAINING TRAVEL UNEMPLOYMENT UNFURNISHED ACCOMMO... UNMARRIED MOTHERS UNWAGED WORKERS Unemployment VOCATIONAL EDUCATIO... WAGES WORKERS RIGHTS WORKING MOTHERS WORKPLACE property and invest...

  11. f

    Commonly reported beliefs about sun protection methods to reduce sun...

    • figshare.com
    • plos.figshare.com
    xls
    Updated Sep 12, 2025
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    Patricia Jewett; Matia Solomon; Katherine Brown; Deveny Flanagan; Emma Kelly; Kelly Kunkel; Megan Schossow; Zora Radosevich; Pamela Mason; Rehana Ahmed; Rebekah Nagler; Carrie Henning-Smith; DeAnn Lazovich; Marco Yzer; Rachel I. Vogel (2025). Commonly reported beliefs about sun protection methods to reduce sun exposure and prevent sunburn on typical sunny day in the summer. [Dataset]. http://doi.org/10.1371/journal.pone.0331685.t004
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    xlsAvailable download formats
    Dataset updated
    Sep 12, 2025
    Dataset provided by
    PLOS ONE
    Authors
    Patricia Jewett; Matia Solomon; Katherine Brown; Deveny Flanagan; Emma Kelly; Kelly Kunkel; Megan Schossow; Zora Radosevich; Pamela Mason; Rehana Ahmed; Rebekah Nagler; Carrie Henning-Smith; DeAnn Lazovich; Marco Yzer; Rachel I. Vogel
    License

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

    Description

    Commonly reported beliefs about sun protection methods to reduce sun exposure and prevent sunburn on typical sunny day in the summer.

  12. Disability and Mobility, London - Dataset - data.gov.uk

    • ckan.publishing.service.gov.uk
    Updated Jun 9, 2025
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    ckan.publishing.service.gov.uk (2025). Disability and Mobility, London - Dataset - data.gov.uk [Dataset]. https://ckan.publishing.service.gov.uk/dataset/disability-and-mobility-london
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    Dataset updated
    Jun 9, 2025
    Dataset provided by
    CKANhttps://ckan.org/
    Area covered
    London
    Description

    Disability and mobility data for London and Rest of the UK, for working age (16-64) and all adults (16+). Data includes population with mobility difficulties, people who use special equipment to help be mobile, people with a mobility impairment, and people who currently have 'DDA' Disability. The definition of ‘DDA disability’ under the Equality Act 2010 shows a person has a disability if: they have a physical or mental impairment the impairment has a substantial and long-term adverse effect on their ability to perform normal day-to-day activities For the purposes of the Act, these words have the following meanings: 'substantial' means more than minor or trivial 'long-term' means that the effect of the impairment has lasted or is likely to last for at least twelve months (there are special rules covering recurring or fluctuating conditions) 'normal day-to-day activities' include everyday things like eating, washing, walking and going shopping There are additional provisions relating to people with progressive conditions. People with HIV, cancer or multiple sclerosis are protected by the Act from the point of diagnosis. People with some visual impairments are automatically deemed to be disabled. Find out more about the Life Opportunities Survey (LOS).

  13. s

    Public Health Outcomes Framework Indicators - Dataset - data.gov.uk

    • ckan.publishing.service.gov.uk
    Updated Jun 9, 2025
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    (2025). Public Health Outcomes Framework Indicators - Dataset - data.gov.uk [Dataset]. https://ckan.publishing.service.gov.uk/dataset/public-health-outcomes-framework-indicators
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    Dataset updated
    Jun 9, 2025
    Description

    This data originates from the Public Health Outcomes tool currently presents data for available indicators for upper tier local authority levels, collated by Public Health England (PHE). The data currently published here are the baselines for the Public Health Outcomes Framework, together with more recent data where these are available. The baseline period is 2010 or equivalent, unless these data are unavailable or not deemed to be of sufficient quality. The first data were published in this tool as an official statistics release in November 2012. Future official statistics updates will be published as part of a quarterly update cycle in August, November, February and May. The definition, rationale, source information, and methodology for each indicator can be found within the spreadsheet. Data included in the spreadsheet: 0.1i - Healthy life expectancy at birth0.1ii - Life Expectancy at 650.1ii - Life Expectancy at birth0.2i - Slope index of inequality in life expectancy at birth based on national deprivation deciles within England0.2ii - Number of upper tier local authorities for which the local slope index of inequality in life expectancy (as defined in 0.2iii) has decreased0.2iii - Slope index of inequality in life expectancy at birth within English local authorities, based on local deprivation deciles within each area0.2iv - Gap in life expectancy at birth between each local authority and England as a whole0.2v - Slope index of inequality in healthy life expectancy at birth based on national deprivation deciles within England0.2vii - Slope index of inequality in life expectancy at birth within English regions, based on regional deprivation deciles within each area1.01i - Children in poverty (all dependent children under 20)1.01ii - Children in poverty (under 16s)1.02i - School Readiness: The percentage of children achieving a good level of development at the end of reception1.02i - School Readiness: The percentage of children with free school meal status achieving a good level of development at the end of reception1.02ii - School Readiness: The percentage of Year 1 pupils achieving the expected level in the phonics screening check1.02ii - School Readiness: The percentage of Year 1 pupils with free school meal status achieving the expected level in the phonics screening check1.03 - Pupil absence1.04 - First time entrants to the youth justice system1.05 - 16-18 year olds not in education employment or training1.06i - Adults with a learning disability who live in stable and appropriate accommodation1.06ii - % of adults in contact with secondary mental health services who live in stable and appropriate accommodation1.07 - People in prison who have a mental illness or a significant mental illness1.08i - Gap in the employment rate between those with a long-term health condition and the overall employment rate1.08ii - Gap in the employment rate between those with a learning disability and the overall employment rate1.08iii - Gap in the employment rate for those in contact with secondary mental health services and the overall employment rate1.09i - Sickness absence - The percentage of employees who had at least one day off in the previous week1.09ii - Sickness absence - The percent of working days lost due to sickness absence1.10 - Killed and seriously injured (KSI) casualties on England's roads1.11 - Domestic Abuse1.12i - Violent crime (including sexual violence) - hospital admissions for violence1.12ii - Violent crime (including sexual violence) - violence offences per 1,000 population1.12iii- Violent crime (including sexual violence) - Rate of sexual offences per 1,000 population1.13i - Re-offending levels - percentage of offenders who re-offend1.13ii - Re-offending levels - average number of re-offences per offender1.14i - The rate of complaints about noise1.14ii - The percentage of the population exposed to road, rail and air transport noise of 65dB(A) or more, during the daytime1.14iii - The percentage of the population exposed to road, rail and air transport noise of 55 dB(A) or more during the night-time1.15i - Statutory homelessness - homelessness acceptances1.15ii - Statutory homelessness - households in temporary accommodation1.16 - Utilisation of outdoor space for exercise/health reasons1.17 - Fuel Poverty1.18i - Social Isolation: % of adult social care users who have as much social contact as they would like1.18ii - Social Isolation: % of adult carers who have as much social contact as they would like1.19i - Older people's perception of community safety - safe in local area during the day1.19ii - Older people's perception of community safety - safe in local area after dark1.19iii - Older people's perception of community safety - safe in own home at night2.01 - Low birth weight of term babies2.02i - Breastfeeding - Breastfeeding initiation2.02ii - Breastfeeding - Breastfeeding prevalence at 6-8 weeks after birth2.03 - Smoking status at time of delivery2.04 - Under 18 conceptions2.04 - Under 18 conceptions: conceptions in those aged under 162.06i - Excess weight in 4-5 and 10-11 year olds - 4-5 year olds2.06ii - Excess weight in 4-5 and 10-11 year olds - 10-11 year olds2.07i - Hospital admissions caused by unintentional and deliberate injuries in children (aged 0-14 years)2.07i - Hospital admissions caused by unintentional and deliberate injuries in children (aged 0-4 years)2.07ii - Hospital admissions caused by unintentional and deliberate injuries in young people (aged 15-24)2.08 - Emotional well-being of looked after children2.09i - Smoking prevalence at age 15 - current smokers (WAY survey)2.09ii - Smoking prevalence at age 15 - regular smokers (WAY survey)2.09iii - Smoking prevalence at age 15 - occasional smokers (WAY survey)2.09iv - Smoking prevalence at age 15 years - regular smokers (SDD survey)2.09v - Smoking prevalence at age 15 years - occasional smokers (SDD survey)2.12 - Excess Weight in Adults2.13i - Percentage of physically active and inactive adults - active adults2.13ii - Percentage of physically active and inactive adults - inactive adults2.14 - Smoking Prevalence2.14 - Smoking prevalence - routine & manual2.15i - Successful completion of drug treatment - opiate users2.15ii - Successful completion of drug treatment - non-opiate users2.16 - People entering prison with substance dependence issues who are previously not known to community treatment2.17 - Recorded diabetes2.18 - Admission episodes for alcohol-related conditions - narrow definition2.19 - Cancer diagnosed at early stage (Experimental Statistics)2.20i - Cancer screening coverage - breast cancer2.20ii - Cancer screening coverage - cervical cancer2.21i - Antenatal infectious disease screening – HIV coverage2.21iii - Antenatal Sickle Cell and Thalassaemia Screening - coverage2.21iv - Newborn bloodspot screening - coverage2.21v - Newborn Hearing screening - Coverage2.21vii - Access to non-cancer screening programmes - diabetic retinopathy2.21viii - Abdominal Aortic Aneurysm Screening2.22iii - Cumulative % of the eligible population aged 40-74 offered an NHS Health Check2.22iv - Cumulative % of the eligible population aged 40-74 offered an NHS Health Check who received an NHS Health Check2.22v - Cumulative % of the eligible population aged 40-74 who received an NHS Health check2.23i - Self-reported well-being - people with a low satisfaction score2.23ii - Self-reported well-being - people with a low worthwhile score2.23iii - Self-reported well-being - people with a low happiness score2.23iv - Self-reported well-being - people with a high anxiety score2.23v - Average Warwick-Edinburgh Mental Well-Being Scale (WEMWBS) score2.24i - Injuries due to falls in people aged 65 and over2.24ii - Injuries due to falls in people aged 65 and over - aged 65-792.24iii - Injuries due to falls in people aged 65 and over - aged 80+3.01 - Fraction of mortality attributable to particulate air pollution3.02 - Chlamydia detection rate (15-24 year olds)3.02 - Chlamydia detection rate (15-24 year olds)3.03i - Population vaccination coverage - Hepatitis B (1 year old)3.03i - Population vaccination coverage - Hepatitis B (2 years old)3.03iii - Population vaccination coverage - Dtap / IPV / Hib (1 year old)3.03iii - Population vaccination coverage - Dtap / IPV / Hib (2 years old)3.03iv - Population vaccination coverage - MenC3.03ix - Population vaccination coverage - MMR for one dose (5 years old)3.03v - Population vaccination coverage - PCV3.03vi - Population vaccination coverage - Hib / Men C booster (5 years)3.03vi - Population vaccination coverage - Hib / MenC booster (2 years old)3.03vii - Population vaccination coverage - PCV booster3.03viii - Population vaccination coverage - MMR for one dose (2 years old)3.03x - Population vaccination coverage - MMR for two doses (5 years old)3.03xii - Population vaccination coverage - HPV3.03xiii - Population vaccination coverage - PPV3.03xiv - Population vaccination coverage - Flu (aged 65+)3.03xv - Population vaccination coverage - Flu (at risk individuals)3.04 - People presenting with HIV at a late stage of infection3.05i - Treatment completion for TB3.05ii - Incidence of TB3.06 - NHS organisations with a board approved sustainable development management plan3.07 - Comprehensive, agreed inter-agency plans for responding to health protection incidents and emergencies4.01 - Infant mortality4.02 - Tooth decay in children aged 54.03 - Mortality rate from causes considered preventable4.04i - Under 75 mortality rate from all cardiovascular diseases4.04ii - Under 75 mortality rate from cardiovascular diseases considered preventable4.05i - Under 75 mortality rate from cancer4.05ii - Under 75 mortality rate from cancer considered preventable4.06i - Under 75 mortality rate from liver disease4.06ii - Under 75 mortality rate from liver disease considered preventable4.07i - Under 75 mortality rate from respiratory disease4.07ii - Under 75 mortality rate from respiratory disease considered preventable4.08 - Mortality

  14. e

    OPCS Omnibus Survey, November 1995 - Dataset - B2FIND

    • b2find.eudat.eu
    Updated Apr 9, 2023
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    (2023). OPCS Omnibus Survey, November 1995 - Dataset - B2FIND [Dataset]. https://b2find.eudat.eu/dataset/8469c556-d824-560c-a265-c0fc407c7fb0
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    Dataset updated
    Apr 9, 2023
    Description

    Abstract copyright UK Data Service and data collection copyright owner.The Opinions and Lifestyle Survey (formerly known as the ONS Opinions Survey or Omnibus) is an omnibus survey that began in 1990, collecting data on a range of subjects commissioned by both the ONS internally and external clients (limited to other government departments, charities, non-profit organisations and academia).Data are collected from one individual aged 16 or over, selected from each sampled private household. Personal data include data on the individual, their family, address, household, income and education, plus responses and opinions on a variety of subjects within commissioned modules. The questionnaire collects timely data for research and policy analysis evaluation on the social impacts of recent topics of national importance, such as the coronavirus (COVID-19) pandemic and the cost of living, on individuals and households in Great Britain. From April 2018 to November 2019, the design of the OPN changed from face-to-face to a mixed-mode design (online first with telephone interviewing where necessary). Mixed-mode collection allows respondents to complete the survey more flexibly and provides a more cost-effective service for customers. In March 2020, the OPN was adapted to become a weekly survey used to collect data on the social impacts of the coronavirus (COVID-19) pandemic on the lives of people of Great Britain. These data are held in the Secure Access study, SN 8635, ONS Opinions and Lifestyle Survey, Covid-19 Module, 2020-2022: Secure Access. From August 2021, as coronavirus (COVID-19) restrictions were lifting across Great Britain, the OPN moved to fortnightly data collection, sampling around 5,000 households in each survey wave to ensure the survey remains sustainable. The OPN has since expanded to include questions on other topics of national importance, such as health and the cost of living. For more information about the survey and its methodology, see the ONS OPN Quality and Methodology Information webpage.Secure Access Opinions and Lifestyle Survey dataOther Secure Access OPN data cover modules run at various points from 1997-2019, on Census religion (SN 8078), cervical cancer screening (SN 8080), contact after separation (SN 8089), contraception (SN 8095), disability (SNs 8680 and 8096), general lifestyle (SN 8092), illness and activity (SN 8094), and non-resident parental contact (SN 8093). See Opinions and Lifestyle Survey: Secure Access for details. Main Topics:Each month's questionnaire consists of two elements: core questions, covering demographic information, are asked each month together with non-core questions that vary from month to month. The non-core questions for this month were: Investment Income (Module 7a): ownership of shares and income from shares, bank accounts and building society accounts. Also question about investments in TESSAs. Fire Safety (Module 33): Awareness of Fire Safety Week, knowledge of facts about fire safety and precautions taken. Alcohol and Tobacco from EU (Module 64): alcohol and/or tobacco products brought back from European Union Countries during previous two months; quantity bought. GP Accidents (Module 78): accidents in previous three months that resulted in seeing a doctor or going to hospital; where accident happened; whether saw a GP or went straight to hospital. For accidents involving either the respondent or other household member, that resulted in a GP being seen, details of items of equipment involved in the accident were recorded. Risk Behaviour (Module 94): perceived risk of, and experience of: heart disease; being mugged; being involved in a road accident; cancer or lung cancer; having home burgled; bronchitis; winning a large sum of money. Perceived risk of a smoker dying of smoking related disease as opposed to being murdered or killed in a road accident. World AIDS Day (Module 98): Awareness of World AIDS Day; sources of information. Contraception (Module 106): method of birth control used and reasons for choice; changes in methods used; views on reliability of methods; the use of Family Planning Clinics; awareness of emergency methods for use after intercourse has taken place; views on contraceptive implants. Workplace Accidents (Module 128): accidents resulting in an injury at work or in the course of work; amount of time not able to work as a result of accident. Smoking (Module 130): whether smokes cigarettes now or has ever smoked; how many cigarettes smoked; type of cigarettes smoked (filter, non-filter or hand-rolled); pipe or cigar smoking; whether would like to give up smoking and reasons; how many times tried to give up smoking, or succeeded in giving up smoking; advice on smoking received from doctor or health worker; whether partner smokes and attitudes to this; attitudes to tobacco advertising, sponsoring by tobacco companies and taxation on cigarettes; perceived risks associated with smoking and passive smoking; attitudes to smoking restrictions in public places.

  15. f

    DataSheet_1_Development of new bioactive molecules to treat breast and lung...

    • frontiersin.figshare.com
    • datasetcatalog.nlm.nih.gov
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    Updated Jun 16, 2023
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    Shopnil Akash; Ajoy Kumer; Md. Mominur Rahman; Talha Bin Emran; Rohit Sharma; Rajeev K. Singla; Fahad A. Alhumaydhi; Mayeen Uddin Khandaker; Moon Nyeo Park; Abubakr M. Idris; Polrat Wilairatana; Bonglee Kim (2023). DataSheet_1_Development of new bioactive molecules to treat breast and lung cancer with natural myricetin and its derivatives: A computational and SAR approach.pdf [Dataset]. http://doi.org/10.3389/fcimb.2022.952297.s001
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    pdfAvailable download formats
    Dataset updated
    Jun 16, 2023
    Dataset provided by
    Frontiers
    Authors
    Shopnil Akash; Ajoy Kumer; Md. Mominur Rahman; Talha Bin Emran; Rohit Sharma; Rajeev K. Singla; Fahad A. Alhumaydhi; Mayeen Uddin Khandaker; Moon Nyeo Park; Abubakr M. Idris; Polrat Wilairatana; Bonglee Kim
    License

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

    Description

    Each biopharmaceutical research and new drug development investigation is targeted at discovering novel and potent medications for managing specific ailments. Thus, to discover and develop new potent medications, it should be performed sequentially or step by step. This is because drug development is a lengthy and risky work that requires significant money, resources, and labor. Breast and lung cancer contributes to the death of millions of people throughout the world each year, according to the report of the World Health Organization, and has been a public threat worldwide, although the global medical sector is developed and updated day by day. However, no proper treatment has been found until now. Therefore, this research has been conducted to find a new bioactive molecule to treat breast and lung cancer—such as natural myricetin and its derivatives—by using the latest and most authentic computer-aided drug-design approaches. At the beginning of this study, the biological pass prediction spectrum was calculated to select the target protein. It is noted that the probability of active (Pa) score is better in the antineoplastic (Pa: 0.788–0.938) in comparison with antiviral (Pa: 0.236–0.343), antibacterial (Pa: 0.274–0.421), and antifungal (Pa: 0.226–0.508). Thus, cancerous proteins, such as in breast and lung cancer, were picked up, and the computational investigation was continued. Furthermore, the docking score was found to be -7.3 to -10.4 kcal/mol for breast cancer (standard epirubicin hydrochloride, -8.3 kcal/mol), whereas for lung cancer, the score was -8.2 to -9.6 kcal/mol (standard carboplatin, -5.5 kcal/mol). The docking score is the primary concern, revealing that myricetin derivatives have better docking scores than standard chemotherapeutic agents epirubicin hydrochloride and carboplatin. Finally, drug-likeness, ADME, and toxicity prediction were fulfilled in this investigation, and it is noted that all the derivatives were highly soluble in a water medium, whereas they were totally free from AMES toxicity, hepatotoxicity, and skin sensitization, excluding only ligands 1 and 7. Thus, we proposed that the natural myricetin derivatives could be a better inhibitor for treating breast and lung cancer.

  16. f

    Data_Sheet_1_Age-Adjusted Associations Between Comorbidity and Outcomes of...

    • frontiersin.figshare.com
    • datasetcatalog.nlm.nih.gov
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    Updated May 30, 2023
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    Kate E. Mason; Gillian Maudsley; Philip McHale; Andy Pennington; Jennifer Day; Ben Barr (2023). Data_Sheet_1_Age-Adjusted Associations Between Comorbidity and Outcomes of COVID-19: A Review of the Evidence From the Early Stages of the Pandemic.PDF [Dataset]. http://doi.org/10.3389/fpubh.2021.584182.s001
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    pdfAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    Frontiers
    Authors
    Kate E. Mason; Gillian Maudsley; Philip McHale; Andy Pennington; Jennifer Day; Ben Barr
    License

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

    Description

    Objectives: Early in the COVID-19 pandemic, people with underlying comorbidities were overrepresented in hospitalised cases of COVID-19, but the relationship between comorbidity and COVID-19 outcomes was complicated by potential confounding by age. This review therefore sought to characterise the international evidence base available in the early stages of the pandemic on the association between comorbidities and progression to severe disease, critical care, or death, after accounting for age, among hospitalised patients with COVID-19.Methods: We conducted a rapid, comprehensive review of the literature (to 14 May 2020), to assess the international evidence on the age-adjusted association between comorbidities and severe COVID-19 progression or death, among hospitalised COVID-19 patients – the only population for whom studies were available at that time.Results: After screening 1,100 studies, we identified 14 eligible for inclusion. Overall, evidence for obesity and cancer increasing risk of severe disease or death was most consistent. Most studies found that having at least one of obesity, diabetes mellitus, hypertension, heart disease, cancer, or chronic lung disease was significantly associated with worse outcomes following hospitalisation. Associations were more consistent for mortality than other outcomes. Increasing numbers of comorbidities and obesity both showed a dose-response relationship. Quality and reporting were suboptimal in these rapidly conducted studies, and there was a clear need for additional studies using population-based samples.Conclusions: This review summarises the most robust evidence on this topic that was available in the first few months of the pandemic. It was clear at this early stage that COVID-19 would go on to exacerbate existing health inequalities unless actions were taken to reduce pre-existing vulnerabilities and target control measures to protect groups with chronic health conditions.

  17. e

    Eurobarometer 44.0 (Oct-Nov 1995) - Dataset - B2FIND

    • b2find.eudat.eu
    Updated May 24, 2008
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    (2008). Eurobarometer 44.0 (Oct-Nov 1995) - Dataset - B2FIND [Dataset]. https://b2find.eudat.eu/dataset/3720b636-25cc-506b-85a9-e6ed7602439e
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    Dataset updated
    May 24, 2008
    Description

    Beurteilung der Europäischen Währung; Gesundheitsfragen; Europäische Union; Schule und Weiterbildung; Familie und Altersversorgung. Themen: Politikinteresse; eigene Meinungsführerschaft; Einstellung zur Vereinigung Europas; Beurteilung der Mitgliedschaft des eigenen Landes in der EU. 1. Europäische Währung: Einstellung zur europäischen Währung; Gründe für bzw. gegen die Einführung einer europäischen Währung; Selbsteinstufung der Informiertheit über die europäische Währung; Kenntnis der Maastrichtkriterien zur Einführung einer gemeinsamen europäischen Währung; Kenntnis der Länder, die nicht der Währungsunion beitreten möchten; erwartetes Jahr der Einführung der gemeinsamen Währung; erwartete ökonomische Folgen der gemeinsamen Währung; Präferenz für eine Stichtagslösung oder eine längere Übergangsphase bei der Einführung der europäischen Banknoten; Wunsch nach einer längeren Übergangsfrist für die duale Preisauszeichnung in Geschäften, bei Rechnungen, bei Bankauszügen und Gehaltsabrechnungen; erwartete Umstellungsprobleme; Präferenz für eine spezielle Informationskampagne zur Einführung der europäischen Währung; präferierte Institutionen und Medien für eine solche Informationskampagne. 2. Gesundheit: Kenntnis der europäischen Woche gegen den Krebs; Medien, über die diese Information an den Befragten kam; Kenntnis des europäischen Programms gegen den Krebs; Möglichkeiten zur Krebsvermeidung durch entsprechende Vorsorge; Beurteilung von ausgewählten Konsumgewohnheiten als krebserregend; Einstellung zur Vorsorgeuntersuchung bei Frauen zur Früherkennung von Brustkrebs; eigene Beteiligung an solchen Vorsorgeuntersuchungen. 3. Europafragen: Vorteilhaftigkeit der EU-Mitgliedschaft für das eigene Land; Einschätzung der Notwendigkeit einer gemeinsamen Währung für den europäischen Integrationsprozeß; Einstellung zur Bezeichnung EURO unter Hinzufügung des Namens der Landeswährung; Einstellung zur Bekämpfung der organisierten Kriminalität, der illegalen Einwanderung und zur Formulierung einer Verteidigungspolitik auf europäischer Ebene; Personen, die geeignet wären, die europäische Integration zu forcieren; eigene Fremdsprachenkenntnisse und Einschätzung der bedeutendsten Fremdsprachen; Vertrauen in die Menschen der einzelnen europäischen Staaten sowie in die Amerikaner, Russen, Polen, Ungarn und Tschechen (Länderimage); Einschätzung der Bedeutung der deutsch-französischen Kooperation für den europäischen Integrationsprozeß; Interesse an Informationen über Deutschland; präferierte Medien und Informationskanäle über Deutschland; Bundeskanzler Kohl als Integrationsfigur für Europa; Assoziationen zu Deutschland. 4. Schule und Bildung: Hauptaufgabe der Schule; Kinder im schulpflichtigen Alter; Zufriedenheit mit der Persönlichkeitsentwicklung und sozialen Entwicklung in der Schule; Wichtigkeit ausgewählter Persönlichkeitsmerkmale; Beurteilung der Rolle der Eltern, der Schule und der Arbeitswelt in Hinblick auf die Entwicklung dieser Persönlichkeitsmerkmale bei Kindern; ausreichende Einbeziehung von Eltern und Unternehmen in schulische Entscheidungen und in die schulische Ausbildung; Zufriedenheit mit der eigenen Ausbildung; fehlende Aspekte bei der eigenen Ausbildung; Beurteilung der Schule als Einrichtung zur Vorbereitung auf die Anforderungen der heutigen Gesellschaft; Einfluß der sich schnell ändernden Gesellschaft auf die eigenen Ausbildungspläne und Entscheidungen; Einstellung zum lebenslangen Lernen und präferierte Wege zur Verbesserung des eigenen Bildungsstands; Gründe für die Beendigung der eigenen Fortbildung; Sinnhaftigkeit von Weiterbildung für die Arbeitswelt und das Privatleben; freiwillige oder unfreiwillige Beteiligung an Weiterbildungsmaßnahmen; Beurteilung ausgewählter Vorschläge zur staatlichen Unterstützung von Weiterbildungsmaßnahmen; Präferenz für Staat, Land, Stadt, Unternehmen oder Teilnehmer als Finanzierende für Weiterbildung; eigene Bereitschaft zur Zahlung anteiliger Kosten einer Weiterbildung; Möglichkeit der Europäischen Union in der Weiterbildung; Notwendigkeit lebenslangen Lernens für den Befragten selbst und Bedeutung für die eigene Beschäftigungssituation; Einschätzung ausreichender Vorbereitung der Schüler durch die Schule auf die heutige Informationsgesellschaft; Einfluß der modernen Kommunikationstechniken auf die Qualität der Ausbildung und erwartete grundsätzliche Veränderung der Wissensvermittlung. 5. Familie und Altersversorgung: Wünschbarkeit eines Bevölkerungswachstums im eigenen Lande; Einstellung zur staatlichen Unterstützung von Familien mit Kindern; Staat oder Individuum als Hauptverantwortliche für die eigene Altersversorgung; Präferenz für eine Erhöhung der Sozialbeiträge oder Reduktion der Renten im Falle fehlender staatlicher Unterstützungsmöglichkeiten; Präferenz für die Unterbringung älterer Personen in Seniorenhäusern oder in der eigenen Familie; staatliche oder individuelle Verantwortlichkeit für die Pflege älterer Personen; eigene Kinderzahl; Vorstellungen über die eigene Familienplanung; normative Vorstellungen über das Verheiratetsein von Eltern und die Altersspanne (für Männer und Frauen getrennt), in der sie Eltern werden sollten; Präferenz für die Namenswahl von Frauen bei der Heirat; bei Verheirateten wurde gefragt, ob die Befragte oder im Falle eines Befragten seine Partnerin den Mädchennamen, den Namen des Mannes oder beide Namen benutzt. 6. Fragen zur Struktur EU: Einstellung zu einer Europäischen Union mit gemeinsamer Außen- und Verteidigungspolitik; präferierte Kontrolle der europäischen Regierung durch das europäische Parlament oder durch den Ministerrat; Einstellung zu einer föderal organisierten Europäischen Union; präferiertes Verhalten bei einer nicht einstimmigen Haltung der Länder zu einer solchen föderalen Organisationsstruktur. Demographie: Nationalität; Selbsteinschätzung auf einem Links-Rechts-Kontinuum; Parteipräferenz (Sonntagsfrage); Alter bei Ende der Ausbildung; Geschlecht; Alter; Anzahl der Personen im Haushalt; Anzahl der Kinder im Haushalt; Besitz ausgewählter Güter von Personen im Haushalt (elektrische Geräte, zwei oder mehr Autos, zweite Wohnung oder Urlaubsresidenz); berufliche Position; Haushaltsvorstand; berufliche Position des Haushaltsvorstandes sowie dessen Alter bei Ende der Ausbildung; Konfession; monatliches Haushaltseinkommen. Zusätzlich verkodet wurden: Interviewdatum und Interviewbeginn; Interviewdauer; Anzahl der beim Interview anwesenden Personen; Kooperationsbereitschaft des Befragten; Ortsgröße; Region; Postleitzahl; Intervieweridentifikation; Telefonbesitz. In Luxemburg, Belgien und Finnland: Interviewsprache. Judgement on the European currency; health questions; European Union; school and further education; family and provision for old age. Topics: interest in politics; personal opinion leadership; attitude to unification of Europe; judgement on membership of one´s own country in the EU. 1. European currency: attitude to the European currency; reasons for or against introduction of a European currency; self-classification of extent to which informed about the European currency; knowledge about the Maastricht criteria for introduction of a common European currency; knowledge about the countries that do not want to join the currency union; expected year of introduction of the common currency; expected economic consequences of the common currency; preference for introduction on one day or a longer transition phase in introduction of the European bank notes; desire for a longer transition period for dual pricing in stores, on bills, on bank statements and salary statements; expected conversion problems; preference for a special information campaign on the introduction of the European currency; preferred institutions and media for such an information campaign. 2. Health: knowledge about the European week against cancer; media through which the respondent received this information; knowledge about the European program against cancer; opportunities for cancer prevention through corresponding precaution; judgement on selected consumer habits as cancer-causing; attitude to medical check-ups for women for early diagnosis of breast cancer; personal participation in such medical check-ups. 3. Europe questions: advantageousness of EU membership for one´s own country; assessment of the necessity of a common currency for the European integration process; attitude to the term EURO with appending the name of the national currency; attitude to the fight against organized crime, illegal immigration and to formulating a defense policy on the European level; persons who would be suitable to push European integration; personal knowledge of a foreign language and assessment of the most significant foreign languages; trust in the people of individual European countries as well as in the Americans, Russians, Poles, Hungarians and Czechs (country image); assessment of the significance of German-French cooperation for the European integration process; interest in information about Germany; preferred media and information channels about Germany; Federal Chancellor Kohl as integration figure for Europe; associations with Germany. 4. School and education: primary task of the school; school-age children; satisfaction with personality development and social development in school; importance of selected personality characteristics; judgement on the role of parents, the school and the working world in view of development of these personality characteristics among children; adequate inclusion of parents and companies in school decisions and in school training; satisfaction with personal training; missing aspects in personal training; judgement on the school as facility to prepare for demands of today´s society; influence of a rapidly changing society on one´s own training plans and decisions; attitude to

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data.ct.gov (2023). COVID-19 Cases and Deaths by Race/Ethnicity - ARCHIVE [Dataset]. https://catalog.data.gov/dataset/covid-19-cases-and-deaths-by-race-ethnicity

COVID-19 Cases and Deaths by Race/Ethnicity - ARCHIVE

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Dataset updated
Aug 12, 2023
Dataset provided by
data.ct.gov
Description

Note: DPH is updating and streamlining the COVID-19 cases, deaths, and testing data. As of 6/27/2022, the data will be published in four tables instead of twelve. The COVID-19 Cases, Deaths, and Tests by Day dataset contains cases and test data by date of sample submission. The death data are by date of death. This dataset is updated daily and contains information back to the beginning of the pandemic. The data can be found at https://data.ct.gov/Health-and-Human-Services/COVID-19-Cases-Deaths-and-Tests-by-Day/g9vi-2ahj. The COVID-19 State Metrics dataset contains over 93 columns of data. This dataset is updated daily and currently contains information starting June 21, 2022 to the present. The data can be found at https://data.ct.gov/Health-and-Human-Services/COVID-19-State-Level-Data/qmgw-5kp6 . The COVID-19 County Metrics dataset contains 25 columns of data. This dataset is updated daily and currently contains information starting June 16, 2022 to the present. The data can be found at https://data.ct.gov/Health-and-Human-Services/COVID-19-County-Level-Data/ujiq-dy22 . The COVID-19 Town Metrics dataset contains 16 columns of data. This dataset is updated daily and currently contains information starting June 16, 2022 to the present. The data can be found at https://data.ct.gov/Health-and-Human-Services/COVID-19-Town-Level-Data/icxw-cada . To protect confidentiality, if a town has fewer than 5 cases or positive NAAT tests over the past 7 days, those data will be suppressed. COVID-19 cases and associated deaths that have been reported among Connecticut residents, broken down by race and ethnicity. All data in this report are preliminary; data for previous dates will be updated as new reports are received and data errors are corrected. Deaths reported to the either the Office of the Chief Medical Examiner (OCME) or Department of Public Health (DPH) are included in the COVID-19 update. The following data show the number of COVID-19 cases and associated deaths per 100,000 population by race and ethnicity. Crude rates represent the total cases or deaths per 100,000 people. Age-adjusted rates consider the age of the person at diagnosis or death when estimating the rate and use a standardized population to provide a fair comparison between population groups with different age distributions. Age-adjustment is important in Connecticut as the median age of among the non-Hispanic white population is 47 years, whereas it is 34 years among non-Hispanic blacks, and 29 years among Hispanics. Because most non-Hispanic white residents who died were over 75 years of age, the age-adjusted rates are lower than the unadjusted rates. In contrast, Hispanic residents who died tend to be younger than 75 years of age which results in higher age-adjusted rates. The population data used to calculate rates is based on the CT DPH population statistics for 2019, which is available online here: https://portal.ct.gov/DPH/Health-Information-Systems--Reporting/Population/Population-Statistics. Prior to 5/10/2021, the population estimates from 2018 were used. Rates are standardized to the 2000 US Millions Standard population (data available here: https://seer.cancer.gov/stdpopulations/). Standardization was done using 19 age groups (0, 1-4, 5-9, 10-14, ..., 80-84, 85 years and older). More information about direct standardization for age adjustment is available here: https://www.cdc.gov/nchs/data/statnt/statnt06rv.pdf Categories are mutually exclusive. The category “multiracial” includes people who answered ‘yes’ to more than one race category. Counts may not add up to total case counts as data on race and ethnicity may be missing. Age adjusted rates calculated only for groups with more than 20 deaths. Abbreviation: NH=Non-Hispanic. Data on Connecticut deaths were obtained from the Connecticut Deaths Registry maintained by the DPH Office of Vital Records. Cause of death was determined by a death certifier (e.g., physician, APRN, medical

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