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イタリア

  • 大統領:Sergio Mattarella
  • 首相:Giuseppe Conte
  • 首都:Rome
  • 言語:Italian (official), German (parts of Trentino-Alto Adige region are predominantly German speaking), French (small French-speaking minority in Valle d'Aosta region), Slovene (Slovene-speaking minority in the Trieste-Gorizia area)
  • 政府
  • 統計局
  • 人口、人:60,431,283 (2018)
  • 面積、平方キロメートル:294,140
  • 1人当たりGDP、US $:34,318 (2018)
  • GDP、現在の10億米ドル:2,073.9 (2018)
  • GINI指数:No data
  • ビジネスのしやすさランク:51

Disease

すべてのデータセット:  A B C D G P S V W
  • A
    • 3月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 22 3月, 2019
      データセットを選択
      Data on causes of death (COD) provide information on mortality patterns and form a major element of public health information. COD data refer to the underlying cause which - according to the World Health Organisation (WHO) - is "the disease or injury which initiated the train of morbid events leading directly to death, or the circumstances of the accident or violence which produced the fatal injury". Causes of death are classified by the 86 causes of the "European shortlist" of causes of death. This shortlist is based on the International Statistical Classification of Diseases and Related Health Problems (ICD). COD data are derived from death certificates. The medical certification of death is an obligation in all Member States. Countries code the information provided in the medical certificate of cause of death into ICD codes according to the rules specified in the ICD. Data are broken down by sex, 5-year age groups, cause of death and by residency and country of occurrence. For stillbirths and neonatal deaths additional breakdows might include age of mother. Data are available for EU-28, the former Yugoslav Republic of Macedonia, Albania, Iceland, Norway, Liechtenstein and Switzerland. Regional data (NUTS level 2) are available for most of the countries. Annual national data are provided in absolute number, crude death rates and standardised death rates. At regional level (NUTS level 2) the same is provided in form of 3 years averages. Annual crude death rates are also available at NUTS level 2.
  • B
    • 8月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 23 8月, 2019
      データセットを選択
      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
    • 12月 2018
      ソース: Institute for Health Metrics and Evaluation
      アップロード者: Sandeep Reddy
      以下でアクセス: 02 1月, 2019
      データセットを選択
      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."
    • 11月 2018
      ソース: Institute for Health Metrics and Evaluation
      アップロード者: Knoema
      以下でアクセス: 05 12月, 2018
      データセットを選択
      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.
    • 2月 2019
      ソース: United Nations Children's Fund
      アップロード者: Knoema
      以下でアクセス: 08 4月, 2019
      データセットを選択
      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
    • 9月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 26 9月, 2019
      データセットを選択
      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.
    • 6月 2019
      ソース: Institute for Health Metrics and Evaluation
      アップロード者: Knoema
      以下でアクセス: 30 8月, 2019
      データセットを選択
      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.
    • 8月 2019
      ソース: World Health Organization
      アップロード者: Knoema
      以下でアクセス: 22 8月, 2019
      データセットを選択
      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.
  • G
    • 9月 2017
      ソース: Institute for Health Metrics and Evaluation
      アップロード者: Knoema
      以下でアクセス: 14 11月, 2017
      データセットを選択
      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."
    • 3月 2019
      ソース: World Health Organization
      アップロード者: Knoema
      以下でアクセス: 18 3月, 2019
      データセットを選択
      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.
  • P
  • S
    • 3月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 19 4月, 2019
      データセットを選択
    • 11月 2018
      ソース: United Nations Statistics Division
      アップロード者: Knoema
      以下でアクセス: 10 12月, 2018
      データセットを選択
      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
    • 8月 2019
      ソース: Eurostat
      アップロード者: Knoema
      以下でアクセス: 27 8月, 2019
      データセットを選択
      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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