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Alemanha

  • População, pessoas:82.927.922 (2018)
  • Área, km2:349.360
  • PIB per capita, US$:48.196 (2018)
  • PIB, bilhões em US$ atuais:3.996,8 (2018)
  • Índice de GINI:No data
  • Facilidade para Fazer Negócios:24

Disease

Todos os conjuntos de dados:  B C D E G M P S V W
  • B
    • agosto 2019
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 23 agosto, 2019
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      Non-expenditure health care data provide information on institutions providing health care in countries, on resources used and on output produced in the framework of health care provision. Data on health care form a major element of public health information as they describe the capacities available for different types of health care provision as well as potential 'bottlenecks' observed. The quantity and quality of health care services provided and the work sharing established between the different institutions are a subject of ongoing debate in all countries. Sustainability - continuously providing the necessary monetary and personal resources needed - and meeting the challenges of ageing societies are the primary perspectives used when analysing and using the data. The output-related data ('activities') refer to contacts between patients and the health care system, and to the treatment thereby received. Data are available for hospital discharges of in-patients and day cases, average length of stay of in-patients and medical procedures performed in hospitals. Annual national and regional data are provided in absolute numbers and in population-standardised rates (per 100 000 inhabitants). Wherever applicable, the definitions and classifications of the System of Health Accounts (SHA) are followed, e.g. International Classification for Health Accounts - Providers of health care (ICHA-HP). For hospital discharges, the International Shortlist for Hospital Morbidity Tabulation (ISHMT) is used. Health care data on activities are largely based on administrative data sources in the countries. Therefore, they reflect the country-specific way of organising health care and may not always be completely comparable.
  • C
    • dezembro 2018
      Fonte: Institute for Health Metrics and Evaluation
      Carregamento por: Knoema
      Acesso em 02 janeiro, 2019
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      Data cited: Global Burden of Disease Collaborative Network. Global Burden of Disease Study 2016 (GBD 2016) Cancer Incidence, Mortality, Years of Life Lost, Years Lived with Disability, and Disability-Adjusted Life Years 1990-2016. Seattle, United States: Institute for Health Metrics and Evaluation (IHME), 2018.   The Global Burden of Disease Study 2016 (GBD 2016), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors for 195 countries and territories and at the subnational level for a subset of countries. Estimates for deaths, disability-adjusted life years (DALYs), years lived with disability (YLDs), years of life lost (YLLs), prevalence, and incidence for 29 cancer groups by age and sex for 1990-2016 are available from the GBD Results Tool. Files available in this record are the web tables published in JAMA Oncology in June 2018 in "Global, Regional, and National Cancer Incidence, Mortality, Years of Life Lost, Years Lived With Disability, and Disability-Adjusted Life-years for 29 Cancer Groups, 1990 to 2016."
    • novembro 2018
      Fonte: Institute for Health Metrics and Evaluation
      Carregamento por: Knoema
      Acesso em 05 dezembro, 2018
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      The Global Burden of Disease Study 2017 (GBD 2017), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors for 195 countries and territories, and at the subnational level for a subset of countries.
    • fevereiro 2019
      Fonte: United Nations Children's Fund
      Carregamento por: Knoema
      Acesso em 08 abril, 2019
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      Global and regional deaths of children under 5 years of age by cause. Estimates generated by the WHO and Maternal and Child Epidemiology Estimation Group (MCEE) 2018.
  • D
    • setembro 2019
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 26 setembro, 2019
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      This indicator is defined as the standardised death rate of certain chronic diseases for persons aged less than 65 years, by sex. The following diseases have been considered: malignant neoplasms, diabetes mellitus, ischaemic heart diseases, cerebrovascular diseases, chronic lower respiratory diseases, and chronic liver diseases. As the incidence of chronic diseases varies significantly with age and sex, the indicator is expressed using age-standardised rates which improve comparability over time and between countries, as they adjust raw incidence rates according to a standard European age structure.
    • junho 2019
      Fonte: Institute for Health Metrics and Evaluation
      Carregamento por: Knoema
      Acesso em 30 agosto, 2019
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      GBD 2017 - Disability-Adjusted Life Years and Healthy Life Expectancy 1990-2017 The Global Burden of Disease Study 2016 (GBD 2016), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors for 195 countries and territories and at the subnational level for a subset of countries. Estimates for disability-adjusted life years (DALYs) by cause, age, and sex and healthy life expectancy (HALE) by age and sex are available from the GBD Results Tool for 1990-2016 (quinquennial). Select tables published in The Lancet in September 2017 in "Global, regional, and national disability-adjusted life-years (DALYs) for 333 diseases and injuries and healthy life expectancy (HALE) for 195 countries and territories, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016" are also available for download via the “Files” tab above.
    • agosto 2019
      Fonte: World Health Organization
      Carregamento por: Knoema
      Acesso em 22 agosto, 2019
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      Note: All data contained within is provisional. The annual number of cases of measles and rubella officially reported by a member state is only available by July of each following year (through the joint WHO UNICEF annual data collection exercise). “provisional data based on monthly data reported to WHO (Geneva) as of April 2019”. Measles cases are defined as laboratory confirmed, epidemiologically linked, and clinical cases as reported to the World Health Organization. Some countries report cases at irregular intervals, providing multiple months of data in a one month period. Future months are reported as 0 and will be updated as data is available. When data is used in public settings, please acknowledge the data source is the World Health Organization.
  • E
  • G
    • setembro 2017
      Fonte: Institute for Health Metrics and Evaluation
      Carregamento por: Knoema
      Acesso em 14 novembro, 2017
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      The Global Burden of Disease Study 2015 (GBD 2015), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors at the global, regional, national, territorial, and, for a subset of countries, subnational level. As part of this study, estimates for obesity and overweight prevalence and the disease burden attributable to high body mass index (BMI) were produced by sex, age group, and year for 195 countries and territories. Estimates for high BMI-attributable deaths, DALYs, and other measures (1990-2015) are available from the GBD Results Tool. Files available in this record include obesity and overweight prevalence estimates for 1980-2015. Study results were published in The New England Journal of Medicine in June 2017 in "Health Effects of Overweight and Obesity in 195 Countries over 25 Years."
    • março 2019
      Fonte: World Health Organization
      Carregamento por: Knoema
      Acesso em 18 março, 2019
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      Restrictions apply: https://www.who.int/publishing/openaccess/en/   Citation: Global Health Observatory (GHO) Data: https://www.who.int/gho/en/: World Health Organization; 2019. Licence: CC BY-NC-SA 3.0 IGO   The GHO data provides access to indicators on priority health topics including mortality and burden of diseases, the Millennium Development Goals (child nutrition, child health, maternal and reproductive health, immunization, HIV/AIDS, tuberculosis, malaria, neglected diseases, water and sanitation), non communicable diseases and risk factors, epidemic-prone diseases, health systems, environmental health, violence and injuries, equity among others.
  • M
  • P
    • outubro 2019
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 16 outubro, 2019
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      The domain "Income and living conditions" covers four topics: people at risk of poverty or social exclusion, income distribution and monetary poverty, living conditions and material deprivation, which are again structured into collections of indicators on specific topics. The collection "People at risk of poverty or social exclusion" houses main indicator on risk of poverty or social inclusion included in the Europe 2020 strategy as well as the intersections between sub-populations of all Europe 2020 indicators on poverty and social exclusion. The collection "Income distribution and monetary poverty" houses collections of indicators relating to poverty risk, poverty risk of working individuals as well as the distribution of income. The collection "Living conditions" hosts indicators relating to characteristics and living conditions of households, characteristics of the population according to different breakdowns, health and labour conditions, housing conditions as well as childcare related indicators. The collection "Material deprivation" covers indicators relating to economic strain, durables, housing deprivation and environment of the dwelling.
    • março 2014
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 28 novembro, 2015
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      The European Health Interview Survey (EHIS) aims at measuring on a harmonised basis and with a high degree of comparability among MS the health status, lifestyle (health determinants) and health care services use of the EU citizens. The European Health Interview Survey (EHIS) was developed between 2003 and 2006, during a process in which all the EU Member States (MS) were largely involved. It consists of four modules on health status, health care, health determinants, and background variables. Those modules may be implemented at the national level either as one specific survey or as elements of existing surveys (i.e. national health interview survey, labour force survey, other household surveys). The final version of the questionnaire for the first wave of EHIS was adopted by the MS at the Working Group on Public Health Statistics in November 2006. The survey contained around 130 questions split among the four modules covering the following topics: Background variables on demography and socio-economic status Health status: Minimum European Health Module (MEHM): self-perceived health, chronic health problems and activity limitationDisease specific morbidityAccidents and injuriesWork-related health problemsHealth related absenteeism from workPhysical and sensory functional limitationsActivities of daily living (ADL - feeding, bathing, etc.) and help receivedInstrumental activities of daily living (IADL - preparing meals, shopping, etc.) and help receivedPainAspect of mental health (psychological distress and mental well-being) Health care: Hospitalisation (inpatient and day care)Consultations with doctors and dentistsUnmet needs for hospitalization and for consultation with a specialistVisits to specific non-medical health professionalsVisits to specific categories of alternative medicine practitionersUse of home care and home help servicesSatisfaction with services provided by health care providersUse of medicines (prescribed and non-prescribed)Health care preventive actions (influenza vaccination, breast examination, cervical smear test, blood tests, etc.)Out-of-pocket payments for medical care (self-completion form) Health determinants: Height and weightPhysical activityConsumption of fruits, vegetables and juiceEnvironnent (home and workplace exposures, criminality exposure, social support)Smoking behaviour and exposure to tobacco smoke (self-completion form)Alcohol consumption (self-completion form)Illicit drug use (self-completion form). The first wave of the EHIS was implemented during the period 2006-2009 under a gentlemen's agreement. Nineteen countries have carried out it: 2006: AT, EE2007: SI, CH2008: BE, BG, CZ, CY, FR, LV, MT, RO, TR2009: DE, EL, ES, HU, PL, SK. Germany provided aggregated data and for breakdowns with a strata size less than 20, the values were marked as confidential (flag ~c). No data have been received for Switzerland. In total, 26 indicators based on DG SANCO and DG EMPL needs and covering health status, health determinants and health care are disseminated on Eurostat website. For more information on indicators see document EHIS indicators guidelines. The indicators present distribution percentages and are calculated with different breakdown according to the indicator: sex, age group (10-years intervals, 15 – 24, 25 – 34, …, 75 – 84, 85 or over) and educational attainment levels (ISCED0-2, ISCED3-4, ISCED5-6);sex, age group (18-44, 45-54, 55-64, 65-74, 75 or over) and income quintiles. For example: 4.5 % of Latvian women aged 25-34 are obese (BMI is equal or greater than 30). Records with missing values on age and sex were excluded from the calculation of indicators. Most of the indicators are worked out for the population aged 15 or over. Nevertheless, for some specific indicators, frequencies are calculated on different populations: the Body Mass Index (BMI) (tables hlth_ehis_de1 and hlth_ehis_de2) is calculated for adults only (18+);the self-reported prevalence of high blood pressure (table hlth_ehis_st1) is computed for people aged 25+;the self-reported vaccination against influenza (table hlth_ehis_hc1) is computed for people aged 65+;the self-reported breast examination by X-ray (table hlth_ehis_hc2) is computed for women aged 50-69;the self-reported cervical smear test (table hlth_ehis_hc3) is computed for women aged 20-69;the self-reported colorectal cancer screening test (table hlth_ehis_hc4) is computed for people aged 50-74.
    • março 2019
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 16 abril, 2019
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    • março 2019
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 16 abril, 2019
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    • março 2019
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 19 abril, 2019
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    • março 2019
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 15 maio, 2019
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    • março 2019
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 19 abril, 2019
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  • S
    • novembro 2018
      Fonte: United Nations Statistics Division
      Carregamento por: Knoema
      Acesso em 10 dezembro, 2018
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      The Sustainable Development Goals Report 2018 reviews progress in the third year of implementation of the 2030 Agenda presenting an overview with charts and info-graphics of highlights of the 17 Goals, followed by chapters that focus in more depth on the Goals under review at the high-level political forum in July 2018. This report follows the recently published report of the United Nations Secretary-General on "Progress towards the Sustainable Development Goals" (E/2018/64), both of which are based on the global indicator framework developed by the Inter-Agency and Expert Group on SDG Indicators (IAEG-SDGs) and agreed by the General Assembly in July 2017 in resolution 71/313. The launch of The Sustainable Development Goals Report 2018 is accompanied by the Global SDG Indicators Database, which presents country level data and global and regional aggregates compiled through the UN System and other international organizations.
  • V
    • agosto 2019
      Fonte: Eurostat
      Carregamento por: Knoema
      Acesso em 27 agosto, 2019
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      Non-expenditure health care data provide information on institutions providing health care in countries, on resources used and on output produced in the framework of health care provision. Data on health care form a major element of public health information as they describe the capacities available for different types of health care provision as well as potential 'bottlenecks' observed. The quantity and quality of health care services provided and the work sharing established between the different institutions are a subject of ongoing debate in all countries. Sustainability - continuously providing the necessary monetary and personal resources needed - and meeting the challenges of ageing societies are the primary perspectives used when analysing and using the data. The output-related data ('activities') refer to contacts between patients and the health care system, and to the treatment thereby received. Data are available for hospital discharges of in-patients and day cases, average length of stay of in-patients and medical procedures performed in hospitals. Annual national and regional data are provided in absolute numbers and in population-standardised rates (per 100 000 inhabitants). Wherever applicable, the definitions and classifications of the System of Health Accounts (SHA) are followed, e.g. International Classification for Health Accounts - Providers of health care (ICHA-HP). For hospital discharges, the International Shortlist for Hospital Morbidity Tabulation (ISHMT) is used. Health care data on activities are largely based on administrative data sources in the countries. Therefore, they reflect the country-specific way of organising health care and may not always be completely comparable.
  • W

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