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Supply, then demand? Health expenditure, political leanings, cost obstacles to care, and vaccine hesitancy predict state-level COVID-19 vaccination rates

OBJECTIVES: To examine predictors of state-level COVID-19 vaccination rates during the first nine months of 2021. METHODS: Using publicly available data, we employ a robust, iteratively re-weighted least squares multivariable regression with state characteristics as the independent variables and vac...

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Autores principales: Teperowski Monrad, Joshua, Quaade, Sebastian, Powell-Jackson, Timothy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author(s). Published by Elsevier Ltd. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9452439/
https://www.ncbi.nlm.nih.gov/pubmed/36202641
http://dx.doi.org/10.1016/j.vaccine.2022.08.050
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author Teperowski Monrad, Joshua
Quaade, Sebastian
Powell-Jackson, Timothy
author_facet Teperowski Monrad, Joshua
Quaade, Sebastian
Powell-Jackson, Timothy
author_sort Teperowski Monrad, Joshua
collection PubMed
description OBJECTIVES: To examine predictors of state-level COVID-19 vaccination rates during the first nine months of 2021. METHODS: Using publicly available data, we employ a robust, iteratively re-weighted least squares multivariable regression with state characteristics as the independent variables and vaccinations per capita as the outcome. We run this regression for each day between February 1 and September 21, the last day before vaccine booster rollout. RESULTS: We identify associations between vaccination rates and several state characteristics, including health expenditure, vaccine hesitancy, cost obstacles to care, Democratic voting, and elderly population share. We show that the determinants of vaccination rates have evolved: while supply-side factors were most clearly associated with early vaccination uptake, demand-side factors have become increasingly salient over time. We find that our results are generally robust to a range of alternative specifications. CONCLUSIONS: Both supply and demand-side factors relate to vaccination coverage and the determinants of success have changed over time. POLICY IMPLICATIONS: Investing in health capacity may improve early vaccine distribution and administration, while overcoming vaccine hesitancy and cost obstacles to care may be crucial for later immunisation campaign stages.
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spelling pubmed-94524392022-09-08 Supply, then demand? Health expenditure, political leanings, cost obstacles to care, and vaccine hesitancy predict state-level COVID-19 vaccination rates Teperowski Monrad, Joshua Quaade, Sebastian Powell-Jackson, Timothy Vaccine Article OBJECTIVES: To examine predictors of state-level COVID-19 vaccination rates during the first nine months of 2021. METHODS: Using publicly available data, we employ a robust, iteratively re-weighted least squares multivariable regression with state characteristics as the independent variables and vaccinations per capita as the outcome. We run this regression for each day between February 1 and September 21, the last day before vaccine booster rollout. RESULTS: We identify associations between vaccination rates and several state characteristics, including health expenditure, vaccine hesitancy, cost obstacles to care, Democratic voting, and elderly population share. We show that the determinants of vaccination rates have evolved: while supply-side factors were most clearly associated with early vaccination uptake, demand-side factors have become increasingly salient over time. We find that our results are generally robust to a range of alternative specifications. CONCLUSIONS: Both supply and demand-side factors relate to vaccination coverage and the determinants of success have changed over time. POLICY IMPLICATIONS: Investing in health capacity may improve early vaccine distribution and administration, while overcoming vaccine hesitancy and cost obstacles to care may be crucial for later immunisation campaign stages. The Author(s). Published by Elsevier Ltd. 2022-10-26 2022-09-08 /pmc/articles/PMC9452439/ /pubmed/36202641 http://dx.doi.org/10.1016/j.vaccine.2022.08.050 Text en © 2022 The Author(s) 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
Teperowski Monrad, Joshua
Quaade, Sebastian
Powell-Jackson, Timothy
Supply, then demand? Health expenditure, political leanings, cost obstacles to care, and vaccine hesitancy predict state-level COVID-19 vaccination rates
title Supply, then demand? Health expenditure, political leanings, cost obstacles to care, and vaccine hesitancy predict state-level COVID-19 vaccination rates
title_full Supply, then demand? Health expenditure, political leanings, cost obstacles to care, and vaccine hesitancy predict state-level COVID-19 vaccination rates
title_fullStr Supply, then demand? Health expenditure, political leanings, cost obstacles to care, and vaccine hesitancy predict state-level COVID-19 vaccination rates
title_full_unstemmed Supply, then demand? Health expenditure, political leanings, cost obstacles to care, and vaccine hesitancy predict state-level COVID-19 vaccination rates
title_short Supply, then demand? Health expenditure, political leanings, cost obstacles to care, and vaccine hesitancy predict state-level COVID-19 vaccination rates
title_sort supply, then demand? health expenditure, political leanings, cost obstacles to care, and vaccine hesitancy predict state-level covid-19 vaccination rates
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9452439/
https://www.ncbi.nlm.nih.gov/pubmed/36202641
http://dx.doi.org/10.1016/j.vaccine.2022.08.050
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