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Make it or break it: On-time vaccination intent at the time of Covid-19
On-time effective vaccination is critical to curbing a pandemic, but this is often hampered by citizens' hesitancy to get quickly vaccinated. This research concentrates on the hypothesis that, besides traditional factors in the literature, vaccination success would hinge on two dimensions: a) a...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9905100/ https://www.ncbi.nlm.nih.gov/pubmed/36803893 http://dx.doi.org/10.1016/j.vaccine.2023.02.014 |
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author | Bughin, Jacques Cincera, Michele Peters, Kelly Reykowska, Dorota Żyszkiewicz, Marcin Ohme, Rafal |
author_facet | Bughin, Jacques Cincera, Michele Peters, Kelly Reykowska, Dorota Żyszkiewicz, Marcin Ohme, Rafal |
author_sort | Bughin, Jacques |
collection | PubMed |
description | On-time effective vaccination is critical to curbing a pandemic, but this is often hampered by citizens' hesitancy to get quickly vaccinated. This research concentrates on the hypothesis that, besides traditional factors in the literature, vaccination success would hinge on two dimensions: a) addressing a broader set of risk perception factors than health-related issues only, and b) securing sufficient social and institutional trust at the time of vaccination campaign launch. We test this hypothesis regarding Covid-19 vaccination preferences in six European countries and at the early stage of the pandemic by April 2020. We find that addressing the two roadblock dimensions could further boost Covid-19 vaccination coverage by 22%. The study also offers three extra innovations. The first is that the traditional segmentation logic between vaccine “acceptors”, “hesitants” and “refusers” is further justified by the fact that segments have different attitudes: refusers care less about health issues than they are worried about family tensions and finance (dimension 1 of our hypothesis). In contrast, hesitants are the battlefield for more transparency by media and government actions (dimension 2 of our hypothesis). The second added value is that we extend our hypothesis testing with a supervised non-parametric machine learning technique (Random Forests). Again, consistent with our hypothesis, this method picks up higher-order interaction between risk and trust variables that strongly predict on-time vaccination intent. We finally explicitly adjust survey responses to account for possible reporting bias. Among others, vaccine-reluctant citizens may under-report their limited will to get vaccinated. |
format | Online Article Text |
id | pubmed-9905100 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-99051002023-02-08 Make it or break it: On-time vaccination intent at the time of Covid-19 Bughin, Jacques Cincera, Michele Peters, Kelly Reykowska, Dorota Żyszkiewicz, Marcin Ohme, Rafal Vaccine Article On-time effective vaccination is critical to curbing a pandemic, but this is often hampered by citizens' hesitancy to get quickly vaccinated. This research concentrates on the hypothesis that, besides traditional factors in the literature, vaccination success would hinge on two dimensions: a) addressing a broader set of risk perception factors than health-related issues only, and b) securing sufficient social and institutional trust at the time of vaccination campaign launch. We test this hypothesis regarding Covid-19 vaccination preferences in six European countries and at the early stage of the pandemic by April 2020. We find that addressing the two roadblock dimensions could further boost Covid-19 vaccination coverage by 22%. The study also offers three extra innovations. The first is that the traditional segmentation logic between vaccine “acceptors”, “hesitants” and “refusers” is further justified by the fact that segments have different attitudes: refusers care less about health issues than they are worried about family tensions and finance (dimension 1 of our hypothesis). In contrast, hesitants are the battlefield for more transparency by media and government actions (dimension 2 of our hypothesis). The second added value is that we extend our hypothesis testing with a supervised non-parametric machine learning technique (Random Forests). Again, consistent with our hypothesis, this method picks up higher-order interaction between risk and trust variables that strongly predict on-time vaccination intent. We finally explicitly adjust survey responses to account for possible reporting bias. Among others, vaccine-reluctant citizens may under-report their limited will to get vaccinated. Elsevier Ltd. 2023-03-17 2023-02-08 /pmc/articles/PMC9905100/ /pubmed/36803893 http://dx.doi.org/10.1016/j.vaccine.2023.02.014 Text en © 2023 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Bughin, Jacques Cincera, Michele Peters, Kelly Reykowska, Dorota Żyszkiewicz, Marcin Ohme, Rafal Make it or break it: On-time vaccination intent at the time of Covid-19 |
title | Make it or break it: On-time vaccination intent at the time of Covid-19 |
title_full | Make it or break it: On-time vaccination intent at the time of Covid-19 |
title_fullStr | Make it or break it: On-time vaccination intent at the time of Covid-19 |
title_full_unstemmed | Make it or break it: On-time vaccination intent at the time of Covid-19 |
title_short | Make it or break it: On-time vaccination intent at the time of Covid-19 |
title_sort | make it or break it: on-time vaccination intent at the time of covid-19 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9905100/ https://www.ncbi.nlm.nih.gov/pubmed/36803893 http://dx.doi.org/10.1016/j.vaccine.2023.02.014 |
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