Suppr超能文献

合并群组调查以估计疫苗接种率:来自尼日利亚多指标群组调查/国家免疫覆盖调查(MICS/NICS)的经验,2016-17 年。

Combining cluster surveys to estimate vaccination coverage: Experiences from Nigeria's multiple indicator cluster survey / national immunization coverage survey (MICS/NICS), 2016-17.

机构信息

Biostat Global Consulting, Worthington, OH, USA.

Independent Consultant, Nairobi, Kenya.

出版信息

Vaccine. 2020 Sep 3;38(39):6174-6183. doi: 10.1016/j.vaccine.2020.05.058. Epub 2020 Jul 11.

Abstract

In 2015 immunization stakeholders in Nigeria were proceeding with plans that would have fielded two nationally representative surveys to estimate vaccination coverage at the same time. Rather than duplicate efforts and generate either conflicting or redundant results, the stakeholders collaborated to conduct a combined Multiple Indicator Cluster Survey (MICS) / National Immunization Coverage Survey (NICS) with MICS focusing on core sampling clusters and NICS adding supplementary clusters in 20 states, to improve precision of outcomes there. This paper describes the organizational and technical aspects of that collaboration, including details on design of the sample supplement and analysis of the pooled dataset. While complicated, the collaboration was successful; it yielded a unified set of relevant coverage estimates and fostered some novel sub-national results dissemination work.

摘要

2015 年,尼日利亚的免疫利益相关者正在推进计划,将同时开展两项具有全国代表性的调查,以估计疫苗接种覆盖率。为避免重复工作并产生相互冲突或冗余的结果,利益相关者合作开展了一次综合多指标类集调查(MICS)/国家免疫覆盖率调查(NICS),其中 MICS 侧重于核心抽样类集,NICS 在 20 个州增加补充类集,以提高这些地区结果的准确性。本文描述了这种合作的组织和技术方面,包括样本补充设计的详细信息和合并数据集的分析。虽然复杂,但合作是成功的;它产生了一套统一的相关覆盖估计,并促进了一些新的国家以下一级结果传播工作。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b6b1/7450266/fac9dcee9cf7/gr1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验