Suppr超能文献

日本新冠疫情监测系统中疫苗接种信息的有效性:对未来大流行中开发高效且高度有效的数据收集系统的启示。

Validity of vaccination information in the COVID-19 surveillance system in Japan: Implications for developing efficient and highly valid data collection systems in future pandemics.

作者信息

Horie Yuki, Ishiguro Chieko, Mimura Wataru, Maeda Megumi, Murata Fumiko, Fukuda Haruhisa

机构信息

Section of Clinical Epidemiology, Department of Data Science, Center for Clinical Sciences, National Center for Global Health and Medicine, Tokyo, Japan.

Department of Health Care Administration and Management, Kyushu University Graduate School of Medical Sciences, Fukuoka, Japan.

出版信息

GHM Open. 2024 Nov 30;4(2):84-90. doi: 10.35772/ghmo.2024.01007.

Abstract

Japan's government developed the Health Center Real-time Information-sharing System on COVID-19 (HER-SYS), the national COVID-19 surveillance system, which relies on manual data entry. Following the COVID-19 vaccination campaign, physicians were mandated to report COVID-19 cases with vaccination history HER-SYS. However, concerns have arisen regarding the accuracy of this vaccination history. This study aimed to assess the validity of vaccination history recorded in HER-SYS. We used data from HER-SYS provided by three municipalities. The study cohort comprised COVID-19 cases registered in HER-SYS from February 2021 to March 2022. The validity of vaccination history in HER-SYS was assessed by cross-referencing with the Vaccination Record System (VRS) of these municipalities. We calculated sensitivity to gauge the extent of missing data in HER-SYS, and positive predictive value (PPV) to evaluate the accuracy of data entered into HER-SYS. Of the 19,260 COVID-19 cases included in the study cohort, HER-SYS and VRS identified 3,257 and 8,323 cases, respectively, as having the first-dose vaccination history. Cross-referencing identified 3,093 cases as true positives in HER-SYS. The sensitivity was 37.2% (95% confidence interval [CI]: 36.1-38.2) and the PPV was 95.0% (95% CI: 94.2-95.7). Collection of vaccination data by HER-SYS was found to be inadequate to obtain information on vaccination history of COVID-19 cases. This suggests that real-time data linkage across different systems such as HER-SYS and VRS would reduce the burden of manual data entry during the pandemic and lead to appropriate infection control measures based on more accurate information.

摘要

日本政府开发了新冠病毒健康中心实时信息共享系统(HER-SYS),这是国家新冠病毒监测系统,依赖人工数据录入。在新冠病毒疫苗接种活动之后,医生被要求在HER-SYS中报告有疫苗接种史的新冠病毒病例。然而,人们对这一疫苗接种史的准确性产生了担忧。本研究旨在评估HER-SYS中记录的疫苗接种史的有效性。我们使用了三个市提供的HER-SYS数据。研究队列包括2021年2月至2022年3月在HER-SYS中登记的新冠病毒病例。通过与这些市的疫苗接种记录系统(VRS)进行交叉核对,评估HER-SYS中疫苗接种史的有效性。我们计算了敏感度以衡量HER-SYS中缺失数据的程度,并计算了阳性预测值(PPV)以评估录入HER-SYS的数据的准确性。在研究队列纳入的19260例新冠病毒病例中,HER-SYS和VRS分别识别出3257例和8323例有首剂疫苗接种史。交叉核对确定HER-SYS中有3093例为真阳性。敏感度为37.2%(95%置信区间[CI]:36.1-38.2),PPV为95.0%(95%CI:94.2-95.7)。发现HER-SYS收集的疫苗接种数据不足以获取新冠病毒病例的疫苗接种史信息。这表明,HER-SYS和VRS等不同系统之间的实时数据链接将减轻疫情期间人工数据录入的负担,并基于更准确的信息采取适当的感染控制措施。

相似文献

9
[Effectiveness of COVID-19 mRNA vaccine against hospitalization during the alpha and delta variant surges in Tokyo].
Nihon Koshu Eisei Zasshi. 2024 Jun 27;71(6):307-313. doi: 10.11236/jph.23-057. Epub 2024 Mar 29.

本文引用的文献

4
Public health responses to COVID-19 in Japan.日本针对新冠疫情的公共卫生应对措施。
Glob Health Med. 2022 Apr 30;4(2):78-82. doi: 10.35772/ghm.2022.01025.
7
WHO Declares COVID-19 a Pandemic.世界卫生组织宣布新冠疫情为大流行病。
Acta Biomed. 2020 Mar 19;91(1):157-160. doi: 10.23750/abm.v91i1.9397.

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