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Institute for Health Metrics and Evaluation

The Institute for Health Metrics and Evaluation (IHME) is an independent global health research center at the University of Washington that provides rigorous and comparable measurement of the world's most important health problems and evaluates the strategies used to address them. IHME makes this information freely available so that policymakers have the evidence they need to make informed decisions about how to allocate resources to best improve population health.

所有数据集:  G I U
  • G
    • 十一月 2018
      来源: Institute for Health Metrics and Evaluation
      上传者: Knoema
      访问日期: 23 十一月, 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. Developed by GBD researchers and used to help produce these estimates, the Socio-demographic Index (SDI) is a composite indicator of development status strongly correlated with health outcomes. It is the geometric mean of 0 to 1 indices of total fertility rate under the age of 25 (TFU25), mean education for those ages 15 and older (EDU15+), and lag distributed income (LDI) per capita. As a composite, a location with an SDI of 0 would have a theoretical minimum level of development relevant to health, while a location with an SDI of 1 would have a theoretical maximum level. This dataset provides tables with SDI values for all estimated GBD 2017 locations for 1950–2017 and groupings by location based on their 2017 values.
  • I
    • 二月 2011
      来源: Institute for Health Metrics and Evaluation
      上传者: Knoema
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      IHME results from paper, Worldwide mortality in men and women aged 15–59 years from 1970 to 2010: a systematic analysis, published online in The Lancet on April 30 2010. This dataset provides global estimates of adult mortality risk, 45q15 (probability of death between the ages of 15 years and 60 years), between 1970 and 2010.
    • 二月 2011
      来源: Institute for Health Metrics and Evaluation
      上传者: Knoema
      选择数据集
      IHME results from paper, Neonatal, post neonatal, childhood, and under-5 mortality for 187 countries, 1970-2010: a systematic analysis of progress towards Millennium Development Goal 4, published online in The Lancet on May 24 2010. This dataset provides estimates of neonatal, post neonatal, childhood, and under-5 mortality for 187 countries between 1970 and 2010.
    • 十二月 2010
      来源: Institute for Health Metrics and Evaluation
      上传者: Knoema
      访问日期: 31 七月, 2013
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      IHME research, published online in The Lancet in April 2010, with data from a global assessment of levels and trends in maternal mortality for the years 1980-2008. The study, Maternal mortality for 181 countries, 1980-2008: a systematic analysis of progress towards Millennium Development Goal 5, provides global, regional, and national level estimates of the maternal mortality ratio (MMR - the number of maternal deaths per 100,000 live births) as well as the number of maternal deaths.
    • 九月 2011
      来源: Institute for Health Metrics and Evaluation
      上传者: Knoema
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      IHME results data from global analysis of maternal mortality for years 1990-2011 published online in The Lancet in September 2011. The study, Progress towards Millennium Development Goals 4 and 5 on maternal and child mortality: an updated systematic analysis, provides global and country level estimates of the maternal mortality ratio (MMR - the number of maternal deaths per 100,000 live births) and the number of maternal deaths.
  • U
    • 九月 2014
      来源: Institute for Health Metrics and Evaluation
      上传者: Knoema
      访问日期: 18 九月, 2014
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      This is a complete annual time series for life expectancy from 1987 to 2009 by US state and US county. The datasets provide life expectancy estimates by sex and race (total, white, black). These numbers update the 1987-2007 life expectancy results published by IHME in 2011. The updated results still show large disparities nationwide whether urban or rural, with men's lifespans improving faster than women, and life expectancy for black Americans (both male and female) improving faster than for white Americans.