Using observational epidemiology to evaluate COVID-19 vaccines : integrating traditional methods with new data sources and tools

© 2021. The Canadian Public Health Association..

Although clinical trials are necessary for vaccine approval, observational epidemiology will be required to evaluate the long-term effectiveness, safety, and population impacts of newly approved COVID-19 vaccines under real-world field conditions. In this commentary, I argue that a hybrid approach that combines new data sources and tools, including COVID-19 vaccine registries, with traditional epidemiological methods will be needed to evaluate COVID-19 vaccines using observational epidemiology. Wherever possible, primary data collection, active surveillance, and linkage with existing population-based cohorts should be leveraged to supplement secondary data sources and passive surveillance systems. Evidence-informed public health decision making around provincial COVID-19 immunization programs will need to account for potential biases, incomplete or conflicting information, and heterogeneity across subpopulations.

Medienart:

E-Artikel

Erscheinungsjahr:

2021

Erschienen:

2021

Enthalten in:

Zur Gesamtaufnahme - volume:112

Enthalten in:

Canadian journal of public health = Revue canadienne de sante publique - 112(2021), 5 vom: 23. Okt., Seite 867-871

Sprache:

Englisch

Beteiligte Personen:

Chambers, Catharine [VerfasserIn]

Links:

Volltext

Themen:

COVID-19
COVID-19 Vaccines
Epidemiology
Journal Article
Observational study
Public health
Research Support, Non-U.S. Gov't
Vaccine

Anmerkungen:

Date Completed 22.10.2021

Date Revised 07.11.2023

published: Print-Electronic

Citation Status MEDLINE

doi:

10.17269/s41997-021-00554-z

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM32708068X