Article

Background Rates of 41 Adverse Events of Special Interest for COVID-19 Vaccines in 10 European Healthcare Databases - An ACCESS Cohort Study

2022-02-16

Abstract excerpt

Background: In May 2020, the ACCESS (The vACCine covid-19 monitoring readinESS) project was launched to prepare real-world monitoring of COVID-19 vaccines. Within this project, this study aimed to generate background incidence rates of 41 adverse events of special interest (AESI) to contextualize potential safety signals detected following administration of COVID-19 vaccines.<br><br>Methods: A dynamic cohort study...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 46c90732-9055-59cf-9c45-752622e642cd
DOI: 10.2139/ssrn.4036376

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Background Rates of 41 Adverse Events of Special Interest for COVID-19 Vaccines in 10 European Healthcare Databases - An ACCESS Cohort StudyDOI 10.2139/ssrn.4036376Read

Background Rates of 41 Adverse Events of Special Interest for COVID-19 Vaccines in 10 European Healthcare Databases - an ACCESS Cohort StudySemantic proximity Read

Cohort monitoring of 29 Adverse Events of Special Interest prior to and after COVID-19 vaccination in four large European electronic healthcare data sourcesSemantic proximity Read

Background rates of five thrombosis with thrombocytopenia syndromes of special interest for COVID-19 vaccine safety surveillance: incidence between 2017 and 2019 and patient profiles from 25.4 million people in six European countriesSemantic proximity Read

Adverse events of special interest for COVID-19 vaccines - background incidences vary by sex, age and time period and are affected by the pandemicSemantic proximity Read

Impact of vaccination on the association of COVID-19 with arterial and venous thrombotic diseases: an OpenSAFELY cohort study using linked electronic health recordsSemantic proximity Read

An objective systematic comparison of the most common adverse events of COVID-19 vaccinesSemantic proximity Read

Phenotype Algorithms for the Identification and Characterization of Vaccine-Induced Thrombotic Thrombocytopenia in Real World Data: A Multinational Network Cohort Study.Semantic proximity Read

A 6-week time period may not be sufficient to identify potential adverse events following COVID-19 vaccinationSemantic proximity Read

Serious adverse events reported from the COVID-19 vaccines: A descriptive study based on WHO databaseSemantic proximity Read

Exploring Temporal and Spatial Characteristics of Serious Adverse Event Reports Following COVID-19 Bivalent VaccinesSemantic proximity Read

Development of Interoperable Computable Phenotype Algorithms for Adverse Events of Special Interest to Be Used for Biologics Safety Surveillance: Validation Study.Semantic proximity Read

Venous and Arterial Thromboembolic Events after COVID-19 During the Omicron Period in three European countriesSemantic proximity Read