Abstract

Vaccination is a highly effective method to prevent the spread of COVID-19 and mitigate severe disease. In Germany, adult vaccination rates are relatively high at 85.5%, but rates are significantly lower for adolescents (69.6%) and children (20.0%). This discrepancy indicates that not all vaccinated parents choose to vaccinate their children. Analyzing data from a January 2022 online survey of 1,819 parents with children and adolescents, we explore the socio-economic factors influencing parents’ willingness to vaccinate themselves and their children. Our results show that individuals who vote for either side of the political extremes are less likely to vaccinate their children. This pattern is particularly strong for voters on the far right. In addition, we find that better educated parents are more likely to vaccinate both themselves and their children. Parents who vaccinate both themselves and their children demonstrate greater confidence in the vaccine’s effectiveness, while those who vaccinate only themselves are often motivated by a desire to regain personal freedoms. These insights highlight the need for targeted public health strategies to address specific concerns and improve vaccination rates among children and adolescents.

Details

Title
The individual and ecological characteristics of parental COVID-19 vaccination decisions
Author
Hörnig, Lukas 1   VIAFID ORCID Logo  ; Schaffner, Sandra 2   VIAFID ORCID Logo  ; Schmitz, Hendrik 3   VIAFID ORCID Logo 

 RWI – Leibniz-Institute for Economic Research, Essen, Germany (GRID:grid.437257.0) (ISNI:0000 0001 2160 3212); Ruhr-University Bochum, Bochum, Germany (GRID:grid.5570.7) (ISNI:0000 0004 0490 981X) 
 RWI – Leibniz-Institute for Economic Research, Essen, Germany (GRID:grid.437257.0) (ISNI:0000 0001 2160 3212) 
 RWI – Leibniz-Institute for Economic Research, Essen, Germany (GRID:grid.437257.0) (ISNI:0000 0001 2160 3212); Paderborn University, Paderborn, Germany (GRID:grid.5659.f) (ISNI:0000 0001 0940 2872); Leibniz Science Campus Ruhr, Essen, Germany (GRID:grid.5659.f) 
Pages
24194
Publication year
2024
Publication date
2024
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3116760721
Copyright
© The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.