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Association between Gross National Income per capita and COVID-19 vaccination coverage: a global ecological study
BACKGROUND: Coronavirus 2019 (COVID-19) pandemic has claimed over six million lives and infected more than 650 million people globally. Public health agencies have deployed several strategies, including rolling out vaccination campaigns to curb the pandemic, yet a significant proportion of the globa...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10696801/ https://www.ncbi.nlm.nih.gov/pubmed/38049821 http://dx.doi.org/10.1186/s12889-023-17241-y |
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author | Nyachoti, Dennis Ogeto Fwelo, Pierre Springer, Andrew E. Kelder, Steven H. |
author_facet | Nyachoti, Dennis Ogeto Fwelo, Pierre Springer, Andrew E. Kelder, Steven H. |
author_sort | Nyachoti, Dennis Ogeto |
collection | PubMed |
description | BACKGROUND: Coronavirus 2019 (COVID-19) pandemic has claimed over six million lives and infected more than 650 million people globally. Public health agencies have deployed several strategies, including rolling out vaccination campaigns to curb the pandemic, yet a significant proportion of the global population has not received the COVID-19 vaccine. We assessed differences in COVID-19 vaccination coverage by Gross National Income (GNI) per capita of WHO members (i.e., countries, areas, and territories, n = 192) and by WHO member regions (n = 6). METHODS: Using an ecological study design, we analyzed publicly available data from the WHO website merged with the World Bank’s GNI per capita data. We included a total of 192 WHO members and six WHO regions in the analysis. We utilized negative binomial regression to assess the associations between the GNI per capita and COVID-19 vaccination coverage (cumulative number of persons fully vaccinated and/or received at least one dose of the vaccine per 100 population), and ANOVA test to assess the differences in vaccination coverage per WHO regions. RESULTS: Low GNI per capita WHO members had significantly lower full vaccination coverage (aRR 0.30, 95% CI 0.22—0.40) compared to high GNI per capita WHO members. These members were also 66% less likely to receive at least one dose of the vaccine (aRR 0.34, 0.26—0.44) relative to high GNI per capita WHO members. Africa region had a significantly lower fully vaccination coverage (aRR 0.71, 95% CI 0.36—0.54) and received at least one dose of the COVID-19 vaccine (aRR 0.78, 95% CI 0.62—0.99) than Europe region. Conversely, the Western Pacific region had significantly higher fully vaccination coverage (aRR 1.40 95% CI 1.12—1.74) and received at least one dose of COVID-19 vaccines (aRR 1.40 95% CI 1.14—1.73) relative to European region. CONCLUSION: WHO members with low GNI per capita and the African region reported significantly lower COVID-19 vaccination coverage than those with high GNI per capita or other regions. Efforts to strengthen and promote COVID-19 vaccination in low-income WHO countries and African region should be scaled up. |
format | Online Article Text |
id | pubmed-10696801 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-106968012023-12-06 Association between Gross National Income per capita and COVID-19 vaccination coverage: a global ecological study Nyachoti, Dennis Ogeto Fwelo, Pierre Springer, Andrew E. Kelder, Steven H. BMC Public Health Research BACKGROUND: Coronavirus 2019 (COVID-19) pandemic has claimed over six million lives and infected more than 650 million people globally. Public health agencies have deployed several strategies, including rolling out vaccination campaigns to curb the pandemic, yet a significant proportion of the global population has not received the COVID-19 vaccine. We assessed differences in COVID-19 vaccination coverage by Gross National Income (GNI) per capita of WHO members (i.e., countries, areas, and territories, n = 192) and by WHO member regions (n = 6). METHODS: Using an ecological study design, we analyzed publicly available data from the WHO website merged with the World Bank’s GNI per capita data. We included a total of 192 WHO members and six WHO regions in the analysis. We utilized negative binomial regression to assess the associations between the GNI per capita and COVID-19 vaccination coverage (cumulative number of persons fully vaccinated and/or received at least one dose of the vaccine per 100 population), and ANOVA test to assess the differences in vaccination coverage per WHO regions. RESULTS: Low GNI per capita WHO members had significantly lower full vaccination coverage (aRR 0.30, 95% CI 0.22—0.40) compared to high GNI per capita WHO members. These members were also 66% less likely to receive at least one dose of the vaccine (aRR 0.34, 0.26—0.44) relative to high GNI per capita WHO members. Africa region had a significantly lower fully vaccination coverage (aRR 0.71, 95% CI 0.36—0.54) and received at least one dose of the COVID-19 vaccine (aRR 0.78, 95% CI 0.62—0.99) than Europe region. Conversely, the Western Pacific region had significantly higher fully vaccination coverage (aRR 1.40 95% CI 1.12—1.74) and received at least one dose of COVID-19 vaccines (aRR 1.40 95% CI 1.14—1.73) relative to European region. CONCLUSION: WHO members with low GNI per capita and the African region reported significantly lower COVID-19 vaccination coverage than those with high GNI per capita or other regions. Efforts to strengthen and promote COVID-19 vaccination in low-income WHO countries and African region should be scaled up. BioMed Central 2023-12-04 /pmc/articles/PMC10696801/ /pubmed/38049821 http://dx.doi.org/10.1186/s12889-023-17241-y Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Nyachoti, Dennis Ogeto Fwelo, Pierre Springer, Andrew E. Kelder, Steven H. Association between Gross National Income per capita and COVID-19 vaccination coverage: a global ecological study |
title | Association between Gross National Income per capita and COVID-19 vaccination coverage: a global ecological study |
title_full | Association between Gross National Income per capita and COVID-19 vaccination coverage: a global ecological study |
title_fullStr | Association between Gross National Income per capita and COVID-19 vaccination coverage: a global ecological study |
title_full_unstemmed | Association between Gross National Income per capita and COVID-19 vaccination coverage: a global ecological study |
title_short | Association between Gross National Income per capita and COVID-19 vaccination coverage: a global ecological study |
title_sort | association between gross national income per capita and covid-19 vaccination coverage: a global ecological study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10696801/ https://www.ncbi.nlm.nih.gov/pubmed/38049821 http://dx.doi.org/10.1186/s12889-023-17241-y |
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