English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

With unprecedented speed, 192,248,678 doses of Covid-19 vaccines wereadministered in Germany by July 11, 2023 to combat the pandemic. Limitations ofclinical trials imply that the safety profile of these vaccines is not fullyknown before marketing. However, routine health-care data can help addressthese issues. Despite the high proportion of insured people, the analysis ofvaccination-related data is challenging in Germany. Generally, the Covid-19vaccination status and other health-care data are stored in separate databases,without persistent and database-independent person identifiers. Error-pronerecord-linkage techniques must be used to merge these databases. Our aim was toquantify the impact of record-linkage errors on the power and bias of differentanalysis methods designed to assess Covid-19 vaccine safety when using Germanhealth-care data with a Monte-Carlo simulation study. We used a discrete-timesimulation and empirical data to generate realistic data with varying amountsof record-linkage errors. Afterwards, we analysed this data using a Cox modeland the self-controlled case series (SCCS) method. Realistic proportions ofrandom linkage errors only had little effect on the power of either method. TheSCCS method produced unbiased results even with a high percentage of linkageerrors, while the Cox model underestimated the true effect.

Impact of Record-Linkage Errors in Covid-19 Vaccine-Safety Analyses using German Health-Care Data: A Simulation Study