Global Life Expectancy Data

**Overview**
This data package contains datasets on causes, risk factor, deaths, death rate, years of life lost (YLL), years lived with disability (YLD), disability-adjusted life years (DALY), life expectancy and health-adjusted life expectancy (HALE) from the global burden of disease globally.

**Description**
This data package contains datasets on global burdens of disease by cause and risk factor globally. The datasets provide metrics to measure the overall disease burden expressed as Disability-adjusted life year (DALY), the sum of years of life lost (YLLs) and years lived with disability (YLDs), life expectancy and health-adjusted life expectancy (HALE). The datasets provide global, regional, and GBD location-specific and gender-specific data. The datasets included in this data package resulted from the Global Burden of Disease Study 2016.

**Benefits**
- This data is useful for researchers and policymakers to compare very different populations and health conditions across time. this can be used for further research
- public health officials and program managers for potential interventions, setting priority areas for action and evaluating progress
- policymakers for policy use and development
- public health practitioner and clinicians' aid in designing and implementing targeted interventions and monitoring the progress of public health strategies.

**License Information**
The use of John Snow Labs datasets is free for personal and research purposes. For commercial use please subscribe to the [Data Library](https://www.johnsnowlabs.com/marketplace/) on John Snow Labs website. The subscription will allow you to use all John Snow Labs datasets and data packages for commercial purposes.

**Included Datasets**
- [Global Burden of Cancer Disease](https://www.johnsnowlabs.com/marketplace/global-burden-of-cancer-disease)
- This dataset provides estimates for deaths, disability-adjusted life years (DALYs), years lived with disability (YLDs), years of life lost (YLLs), prevalence, and incidence for all Cancers and 29 cancer groups by sociodemographic index quintile, region and
country.
- [Global Burden of Cancer Percent Change 2006 to 2016](https://www.johnsnowlabs.com/marketplace/global-burden-of-cancer-percent-change-2006-to-2016)
- This dataset provides percent change in number and rates of incidence, mortality and disability-adjusted life year between 2006 and 2016 for all cancers and 29 cancer groups by sociodemographic index, quintile, region and country.
- [Global Burden of Disease by Cause 2010](https://www.johnsnowlabs.com/marketplace/global-burden-of-disease-by-cause-2010)
- This dataset provides four metrics with uncertainty intervals for 291 diseases and injuries: deaths, years of life lost (YLLs), years lived with disability (YLDs), and disability-adjusted life years (DALYs) by region, age, and sex.
- [Global Burden of Disease by Risk Factor 2010](https://www.johnsnowlabs.com/marketplace/global-burden-of-disease-by-risk-factor-2010)
- This dataset provides results for the burden of disease and injury attributable to 67 risk factors, including the contribution to specific diseases and injuries. Metrics provided are deaths, years of life lost (YLLs), years lived with disability (YLDs), and disability-adjusted life years (DALYs).
- [Global Burden of Hypertension and Systolic Blood Pressure](https://www.johnsnowlabs.com/marketplace/global-burden-of-hypertension-and-systolic-blood-pressure)
- This dataset provides the estimated number of deaths and age-standardized rates of deaths and disability-adjusted life years (DALYs) and disability-adjusted life years (DALYs) in thousands related to systolic blood pressure > 110-115 mm Hg and systolic blood pressure > 140 mmHg for all causes combined, ages ≥25, and male, female and both sexes combined in 1990 and 2015 for global, Socio-Demographic Index (SDI) groupings at the country and territory level with 95% uncertainty intervals.
- [Global Disability Adjusted Life Year By Cause](https://www.johnsnowlabs.com/marketplace/global-disability-adjusted-life-year-by-cause)
- This dataset provides global all-age DALYs and age-standardized DALY rates in 1990, 2000 and 2016 with mean percentage changes between 1990 and 2016, 2006 and 2016, and 1990 and 2016 for all causes.
- [Global Disability Adjusted Life Year By Location](https://www.johnsnowlabs.com/marketplace/global-disability-adjusted-life-year-by-location)
- This dataset provides Global Burden of Disease (GBD) 2016 age-standardized rate of Disability Adjusted Life Year (DALY) (per 100,000) and all-age DALYs counts for all causes and level 1 cause groups by location for 1990, 2000, 2006 & 2016, both sexes combined.
- [Global Life Expectancy 1970 to 2016](https://www.johnsnowlabs.com/marketplace/global-life-expectancy-1970-to-2016)
- This dataset provides estimates of life expectancy at birth and at 65 years of age and 95% uncertainty interval estimates by location, male, female and both sexes combined, 1970, 1975, 1980, 1985, 1990, 1995, 2000, 2005, 2010, 2016. This age-specific mortality dataset is used to enable health systems to target interventions for the older adult populations.
- [Global Life Expectancy 2016](https://www.johnsnowlabs.com/marketplace/global-life-expectancy-2016)
- This dataset includes estimates for life expectancy at birth and at age 65, age-standardized death rates, and total deaths, by sex, for countries and territories and subnational units globally for the year 2016.
- [Global Life Expectancy and Healthy Life Expectancy](https://www.johnsnowlabs.com/marketplace/global-life-expectancy-and-healthy-life-expectancy)
- This dataset provides global, regional, and GBD location-specific life expectancy and health adjusted life expectancy (HALE) at birth, by sex, in 1990, 2006, and 2016.
- [Global Years Lived with Disability By Cause](https://www.johnsnowlabs.com/marketplace/global-years-lived-with-disability-by-cause)
- This dataset provides estimates for incidence, prevalence, and years lived with disability (YLDs) for 328 diseases and injuries for 195 countries from 1990 and 2016.

**Data Engineering Overview**
**We deliver high-quality data**
- Each dataset goes through 3 levels of quality review
- 2 Manual reviews are done by domain experts
- Then, an automated set of 60+ validations enforces every datum matches metadata & defined constraints
- Data is normalized into one unified type system
- All dates, unites, codes, currencies look the same
- All null values are normalized to the same value
- All dataset and field names are SQL and Hive compliant
- Data and Metadata
- Data is available in both CSV and Apache Parquet format, optimized for high read performance on distributed Hadoop, Spark & MPP clusters
- Metadata is provided in the open Frictionless Data standard, and its every field is normalized & validated
- Data Updates
- Data updates support replace-on-update: outdated foreign keys are deprecated, not deleted

**Our data is curated and enriched by domain experts**

Each dataset is manually curated by our team of doctors, pharmacists, public health & medical billing experts:
- Field names, descriptions, and normalized values are chosen by people who actually understand their meaning
- Healthcare & life science experts add categories, search keywords, descriptions and more to each dataset
- Both manual and automated data enrichment supported for clinical codes, providers, drugs, and geo-locations
- The data is always kept up to date – even when the source requires manual effort to get updates
- Support for data subscribers is provided directly by the domain experts who curated the data sets
- Every data source’s license is manually verified to allow for royalty-free commercial use and redistribution.

**Need Help?**
If you have questions about our products, contact us at [[e-mail]](mailto:[e-mail]).

**概述**
本数据包包含全球范围内与全球疾病负担相关的数据集，涵盖病因、风险因素、死亡人数、死亡率、寿命损失年（YLL）、伤残损失寿命年（YLD）、伤残调整生命年（DALY）、预期寿命及健康调整预期寿命（HALE）等内容。

**描述**
本数据包包含按病因和风险因素分类的全球疾病负担数据集。这些数据集提供了衡量总体疾病负担的指标，以伤残调整生命年（DALY）表示——即寿命损失年（YLL）与伤残损失寿命年（YLD）之和，此外还包括预期寿命和健康调整预期寿命（HALE）。数据集提供全球、区域、全球疾病负担（GBD）特定地区及性别特异性数据。本数据包中的数据集来源于《2016年全球疾病负担研究》。

**益处**
- 研究人员和政策制定者可跨时间比较差异显著的人群与健康状况，支持进一步研究
- 公共卫生官员和项目管理者可借此制定潜在干预措施、确定行动优先领域并评估进展
- 政策制定者可将其用于政策制定与完善
- 公共卫生从业者及临床医生可借助该数据设计和实施针对性干预措施，并监测公共卫生策略的进展

**许可信息**
约翰·斯诺实验室数据集的个人及研究用途免费。商业用途请订阅约翰·斯诺实验室网站的【数据图书馆】（https://www.johnsnowlabs.com/marketplace/）。订阅后可将所有约翰·斯诺实验室数据集用于商业用途。

**包含的数据集**
- 【全球癌症疾病负担】（https://www.johnsnowlabs.com/marketplace/global-burden-of-cancer-disease）
- 该数据集提供所有癌症及29个癌症组别的死亡人数、伤残调整生命年（DALY）、伤残损失寿命年（YLD）、寿命损失年（YLL）、患病率及发病率估算值，按社会人口指数五分位数、区域和国家分类。
- 【2006-2016年全球癌症负担百分比变化】（https://www.johnsnowlabs.com/marketplace/global-burden-of-cancer-percent-change-2006-to-2016）
- 该数据集提供2006年至2016年间所有癌症及29个癌症组别的发病率、死亡率和伤残调整生命年（DALY）的数量与率的百分比变化，按社会人口指数、五分位数、区域和国家分类。
- 【2010年按病因分类的全球疾病负担】（https://www.johnsnowlabs.com/marketplace/global-burden-of-disease-by-cause-2010）
- 该数据集提供291种疾病和伤害的四项指标（含不确定性区间）：死亡人数、寿命损失年（YLL）、伤残损失寿命年（YLD）及伤残调整生命年（DALY），按区域、年龄和性别分类。
- 【2010年按风险因素分类的全球疾病负担】（https://www.johnsnowlabs.com/marketplace/global-burden-of-disease-by-risk-factor-2010）
- 该数据集提供67种风险因素所致疾病和伤害负担的结果，包括对特定疾病和伤害的贡献。提供的指标包括死亡人数、寿命损失年（YLL）、伤残损失寿命年（YLD）及伤残调整生命年（DALY）。
- 【全球高血压与收缩压负担】（https://www.johnsnowlabs.com/marketplace/global-burden-of-hypertension-and-systolic-blood-pressure）
- 该数据集提供1990年和2015年全球、国家及地区层面社会人口指数（SDI）分组中，年龄≥25岁人群因收缩压>110-115 mmHg和>140 mmHg导致的死亡人数估算值、死亡年龄标化率、伤残调整生命年（DALY）及以千为单位的伤残调整生命年（DALY），涵盖男性、女性及两性合计，含95%不确定性区间。
- 【按病因分类的全球伤残调整生命年】（https://www.johnsnowlabs.com/marketplace/global-disability-adjusted-life-year-by-cause）
- 该数据集提供1990年、2000年和2016年全球全年龄伤残调整生命年（DALY）及年龄标化DALY率，以及1990-2016年、2006-2016年和1990-2016年所有病因的平均百分比变化。
- 【按地区分类的全球伤残调整生命年】（https://www.johnsnowlabs.com/marketplace/global-disability-adjusted-life-year-by-location）
- 该数据集提供1990年、2000年、2006年及2016年全球疾病负担（GBD）2016的年龄标化伤残调整生命年（DALY）率（每10万人）及全年龄DALY计数，按地区分类所有病因及一级病因组，涵盖两性合计。
- 【1970-2016年全球预期寿命】（https://www.johnsnowlabs.com/marketplace/global-life-expectancy-1970-to-2016）
- 该数据集提供1970年、1975年、1980年、1985年、1990年、1995年、2000年、2005年、2010年及2016年全球各地区、男性、女性及两性合计的出生时及65岁时预期寿命估算值（含95%不确定性区间）。该年龄特异性死亡率数据集可帮助卫生系统针对老年人群制定干预措施。
- 【2016年全球预期寿命】（https://www.johnsnowlabs.com/marketplace/global-life-expectancy-2016）
- 该数据集包含2016年全球各国、地区及次国家单位按性别分类的出生时及65岁时预期寿命、年龄标化死亡率及总死亡人数估算值。
- 【全球预期寿命与健康预期寿命】（https://www.johnsnowlabs.com/marketplace/global-life-expectancy-and-healthy-life-expectancy）
- 该数据集提供1990年、2006年及2016年全球、区域及全球疾病负担（GBD）特定地区按性别分类的出生时预期寿命和健康调整预期寿命（HALE）。
- 【按病因分类的全球伤残损失寿命年】（https://www.johnsnowlabs.com/marketplace/global-years-lived-with-disability-by-cause）
- 该数据集提供1990年至2016年195个国家328种疾病和伤害的发病率、患病率及伤残损失寿命年（YLD）估算值。

**数据工程概述**
**我们交付高质量数据**
- 每个数据集均经过三级质量审核
- 2次由领域专家完成的人工审核
- 随后通过60余项自动化验证，确保每条数据符合元数据及定义的约束条件
- 数据归一化为统一的类型系统
- 所有日期、单位、代码、货币格式一致
- 所有空值归一化为同一值
- 所有数据集及字段名称符合SQL和Hive规范
- 数据与元数据
- 数据以CSV和Apache Parquet格式提供，针对分布式Hadoop、Spark及MPP集群优化，具有高读取性能
- 元数据遵循开放的无摩擦数据（Frictionless Data）标准，每个字段均经过归一化与验证
- 数据更新
- 数据更新支持更新时替换机制：过时的外键会被弃用，而非删除

**我们的数据由领域专家精心策划与丰富**

每个数据集均由我们的医生、药剂师、公共卫生及医疗账单专家团队人工策划：
- 字段名称、描述及归一化值由真正理解其含义的专业人员选定
- 医疗保健与生命科学专家为每个数据集添加类别、搜索关键词、描述等信息
- 支持人工与自动化数据丰富，涵盖临床代码、医疗服务提供者、药物及地理位置
- 数据始终保持最新——即使来源需要人工努力获取更新
- 数据订阅者支持由策划数据集的领域专家直接提供
- 每个数据源的许可均经过人工验证，允许免版税商业使用和再分发

**需要帮助？**
如对我们的产品有疑问，请联系我们：[e-mail]

搜集汇总

背景与挑战

背景概述

该数据集源自2016年全球疾病负担研究，提供全球范围的生命预期、健康调整寿命及疾病负担指标（DALY/YLL/YLD等），涵盖区域和性别维度。数据经过三级质量审核，适用于公共卫生研究和政策制定。