Water Sanitation and Hygiene

**Overview**
This data package provides data on drinking water supply, sanitation and hygiene (WASH) service levels by country from 2000 to 2015 by the World Health Organization/United Nations Children's Fund (WHO/UNICEF) Joint Monitoring Programme (JMP) for Water Supply, Sanitation, and Hygiene (WASH).

**Description**
The WHO/UNICEF JMP collects data on water, sanitation and hygiene in countries and regions around the world. This data package presents Sustainable Development Goals (SDG) estimates for drinking water supply, sanitation, and hygiene (WASH) services from the Joint Monitoring Programme (JMP) report. The Sustainable Development Goals include global targets to achieve universal access to basic services and to progressively improve the standard of WASH services by 2030. This dataset by JMP is responsible for official reporting on corresponding global SDG indicators related to drinking water, sanitation, and hygiene.

**Benefits**
- This data is useful for public health officials and researchers seeking to improve health and reduce geographic disparities. this can be used for further analysis
- 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's aid in designing and implementing targeted interventions and monitoring the progress of public health strategies specifically for wash.

**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**
- [Disease Prevention Coverage and Quality](https://www.johnsnowlabs.com/marketplace/disease-prevention-coverage-and-quality)
- This dataset provides data on World Development Indicators (WDI) on disease prevention coverage and quality.
- [Drinking Water Service Levels By Country 2000 to 2017](https://www.johnsnowlabs.com/marketplace/drinking-water-service-levels-by-country-2000-to-2017)
- This dataset provides data on drinking water service levels by country from 2000 to 2017 by the World Health Organization/United Nations Children's Fund (WHO/UNICEF) Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (WASH).
- [Hygiene Service Levels By Country 2000 to 2017](https://www.johnsnowlabs.com/marketplace/hygiene-service-levels-by-country-2000-to-2017)
- This dataset provides data on hygiene by country from 2000 to 2015 by the World Health Organization/United Nations Children's Fund (WHO/UNICEF) Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (WASH).
- [Sanitation Service Levels By Country 2000 to 2017](https://www.johnsnowlabs.com/marketplace/sanitation-service-levels-by-country-2000-to-2017)
- This dataset provides data on sanitation service levels by country from 2000 to 2015 by the World Health Organization/United Nations Children's Fund (WHO/UNICEF) Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (WASH).
- [WASH in Schools 2016](https://www.johnsnowlabs.com/marketplace/wash-in-schools-2016)
- This dataset provides estimates on drinking water, sanitation and hygiene (WASH) in schools by region by the World Health Organization/United Nations Children's Fund (WHO/UNICEF) Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene.

**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**
本数据包提供了2000至2015年期间，由世界卫生组织/联合国儿童基金会（WHO/UNICEF）饮用水、环境卫生和个人卫生（WASH）联合监测规划（JMP）发布的各国饮用水供应、环境卫生及个人卫生（WASH）服务水平数据。

**描述**
WHO/UNICEF JMP收集全球各国及地区的水、环境卫生与个人卫生相关数据。本数据包呈现了联合监测规划（JMP）报告中关于饮用水供应、环境卫生及个人卫生（WASH）服务的可持续发展目标（SDG）估算值。可持续发展目标（SDG）包含全球目标，旨在到2030年实现基本服务的普遍可及，并逐步提升WASH服务标准。JMP的此数据集负责官方报告与饮用水、环境卫生及个人卫生相关的全球SDG对应指标。

**益处**
- 该数据对旨在改善健康状况、减少地域差异的公共卫生官员及研究人员具有重要价值，可用于进一步分析
- 为公共卫生官员及项目管理者提供潜在干预措施、优先行动领域设定及进展评估的支持
- 供政策制定者用于政策制定与完善
- 作为公共卫生从业者设计和实施针对性干预措施、监测公共卫生策略（尤其是WASH领域）进展的辅助工具

**许可信息**
约翰·斯诺实验室（John Snow Labs）数据集供个人和研究用途免费使用。商业用途需订阅约翰·斯诺实验室网站上的[数据图书馆](https://www.johnsnowlabs.com/marketplace/)。订阅后可将所有约翰·斯诺实验室数据集及数据包用于商业用途。

**包含的数据集**
- [疾病预防覆盖率与质量](https://www.johnsnowlabs.com/marketplace/disease-prevention-coverage-and-quality)
- 本数据集提供世界发展指标（WDI）中关于疾病预防覆盖率与质量的数据。
- [2000-2017年各国饮用水服务水平](https://www.johnsnowlabs.com/marketplace/drinking-water-service-levels-by-country-2000-to-2017)
- 本数据集提供2000至2017年期间，由WHO/UNICEF JMP发布的各国饮用水服务水平数据。
- [2000-2017年各国卫生服务水平](https://www.johnsnowlabs.com/marketplace/hygiene-service-levels-by-country-2000-to-2017)
- 本数据集提供2000至2015年期间，由WHO/UNICEF JMP发布的各国卫生服务水平数据。
- [2000-2017年各国环境卫生服务水平](https://www.johnsnowlabs.com/marketplace/sanitation-service-levels-by-country-2000-to-2017)
- 本数据集提供2000至2015年期间，由WHO/UNICEF JMP发布的各国环境卫生服务水平数据。
- [2016年学校WASH状况](https://www.johnsnowlabs.com/marketplace/wash-in-schools-2016)
- 本数据集提供由WHO/UNICEF JMP发布的各地区学校饮用水、环境卫生及个人卫生（WASH）估算值。

**数据工程概述**
**我们交付高质量数据**
- 每个数据集经过三级质量审核
- 2次由领域专家执行的人工审核
- 随后通过60余项自动化验证，确保每条数据符合元数据及既定约束条件
- 数据归一化为统一的类型系统
- 所有日期、单位、编码、货币格式保持一致
- 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标准
- 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集群优化了高读取性能
- 元数据遵循开放的无摩擦数据标准（Frictionless Data），且每个字段均经过归一化与验证
- 数据更新
- 数据更新支持更新替换机制：过时外键标记为弃用而非删除

**我们的数据由领域专家精心整理与增强**

每个数据集均由我们的医生、药剂师、公共卫生及医疗计费专家团队人工整理：
- 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
- 医疗健康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
- 支持人工及自动化数据增强，涵盖临床编码、服务提供者、药品及地理位置
- 数据始终保持最新——即使数据源需要人工努力获取更新
- 数据订阅者支持由整理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，确保允许免版税商业使用与再分发

**需要帮助？**
如对我们的产品有疑问，请通过[[e-mail]]联系我们。