Annual Health Survey Clean Datasets and Documentation
收藏NIAID Data Ecosystem2026-03-13 收录
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https://zenodo.org/record/6335590
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Between July of 2010 and May of 2013, the Government of India conducted the Annual Health Survey in the Empowered Action Group states of north India. The purpose of the survey was to study the impact of reforms to maternal and child health services in the nine high-fertility, high-mortality states that comprise the EAG.
The AHS consists of a three-round panel that interviewed over 4 million households in each round, as well as a one-time Clinical, Anthropometric, and Bio-Chemical Survey. These data were released to the public in 2015 as a set of .csv files. Between December of 2019 and May of 2021, a team of researchers from The University of Texas at Austin assembled the publicly available microdata, constructed the necessary identifiers, cleaned the data, and released user-friendly versions of the constituent datasets on the University of Michigan’s Inter-university Consortium for Political and Social Research.
The documentation, code, and data shared here describes how the final datasets were constructed from the original files released by the Government of India’s Ministry of Health and Family Welfare, what information the final datasets contain, how to use the panel structure of the data, and how to link the different datasets together. It also discusses some of the limitations of the data.
The original files released by the Government of India can be accessed here: https://zenodo.org/record/6062984#.YiZTG0ntwdU
2010年7月至2013年5月期间,印度政府在印度北部的赋权行动组(Empowered Action Group, EAG)各邦开展了年度健康调查(Annual Health Survey, AHS)。本次调查旨在研究构成EAG的9个高生育率、高死亡率邦内,母婴健康服务改革所产生的影响。
该年度健康调查包含三轮追踪面板研究,每轮均访问了超400万户家庭,同时附带一项一次性开展的临床、人体测量与生物化学调查。相关数据于2015年以.csv格式文件集合的形式向公众公开。2019年12月至2021年5月期间,来自德克萨斯大学奥斯汀分校的研究团队汇编了公开可得的微观数据,构建了必要的标识符,完成了数据清洗工作,并将各组成数据集的用户友好版发布于密歇根大学的政治与社会研究跨大学联盟(Inter-university Consortium for Political and Social Research, ICPSR)平台。
本次共享的文档、代码与数据,详细说明了如何基于印度卫生与家庭福利部发布的原始文件构建最终数据集,最终数据集包含的信息内容,如何利用数据的面板结构,以及如何实现不同数据集间的关联。同时,文档还探讨了该数据集存在的部分局限性。
印度政府发布的原始文件可通过以下链接获取:https://zenodo.org/record/6062984#.YiZTG0ntwdU
创建时间:
2022-03-10



