Use of Routinely Collected "Real-world" Data for the Postlicensure Safety Assessment of Vaccination During Pregnancy

被引：0

作者：

Regan, Annette K. ^{[1
,2
]}

Rowe, Stacey L. ^{[1
,3
]}

机构：

[1] Univ San Francisco, Sch Nursing & Hlth Profess, Dept Hlth Profess, San Francisco, CA USA

[2] Univ Calif Los Angeles, Fielding Sch Publ Hlth, Dept Epidemiol, Los Angeles, CA USA

[3] Monash Univ, Sch Med Nursing & Hlth Sci, Dept Publ Hlth & Prevent Med, Melbourne, Vic, Australia

来源：

PEDIATRIC INFECTIOUS DISEASE JOURNAL | 2025年 / 44卷 / 02期

关键词：

vaccine safety; pregnancy; maternal vaccination; vaccine surveillance; observational studies; real-world data;

D O I：

10.1097/INF.0000000000004606

中图分类号：

R392 [医学免疫学]; Q939.91 [免疫学];

学科分类号：

100102 ;

摘要：

Real-world data can be used to evaluate the postlicensure safety of vaccines during pregnancy. However, these studies often require special design considerations to minimize bias. We offer 4 recommendations for maximizing the use of real-world data for vaccine safety evaluations during pregnancy, including the application of robust methodology, standardized outcome definitions, global collaboration and platforms for data sharing.

引用

页码：S108 / S110

页数：3

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