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SARS-COV-2 Vaccines: What Indicators are Associated with the Worldwide Distribution of the First Doses
The present study aimed to identify the factors associated with the distribution of the first doses of the COVID-19 vaccine. In this study, we used 9 variables: human development index (HDI), gross domestic product (GDP per capita), Gini index, population density, extreme poverty, life expectancy, C...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8649438/ https://www.ncbi.nlm.nih.gov/pubmed/34823403 http://dx.doi.org/10.1177/00469580211060184 |
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author | Sobral, Marcos Felipe Falcão Bezerra de Oliveira, Brigitte Renata Gomes da Penha Sobral, Ana Iza Monteiro Marinho, Marcelo Luiz Duarte, Gisleia Benini de Souza Melo, André |
author_facet | Sobral, Marcos Felipe Falcão Bezerra de Oliveira, Brigitte Renata Gomes da Penha Sobral, Ana Iza Monteiro Marinho, Marcelo Luiz Duarte, Gisleia Benini de Souza Melo, André |
author_sort | Sobral, Marcos Felipe Falcão |
collection | PubMed |
description | The present study aimed to identify the factors associated with the distribution of the first doses of the COVID-19 vaccine. In this study, we used 9 variables: human development index (HDI), gross domestic product (GDP per capita), Gini index, population density, extreme poverty, life expectancy, COVID cases, COVID deaths, and reproduction rate. The time period was until February 1, 2021. The variable of interest was the sum of the days after the vaccine arrived in the countries. Pearson’s correlation coefficients were calculated, and t-test was performed between the groups that received and did not receive the immunizer, and finally, a stepwise linear regression model was used. 58 (30.4%) of the 191 countries received the SARS-CoV-2 vaccine. The countries that received the most doses were the United States, China, the United Kingdom, and Israel. Vaccine access in days showed a positive Pearson correlation HDI, GDP, life expectancy, COVID-19 cases, deaths, and reproduction rate. Human development level, COVID-19 deaths, GDP per capita, and population density are able to explain almost 50% of the speed of access to immunizers. Countries with higher HDI and per capita income obtained priority access. |
format | Online Article Text |
id | pubmed-8649438 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-86494382021-12-08 SARS-COV-2 Vaccines: What Indicators are Associated with the Worldwide Distribution of the First Doses Sobral, Marcos Felipe Falcão Bezerra de Oliveira, Brigitte Renata Gomes da Penha Sobral, Ana Iza Monteiro Marinho, Marcelo Luiz Duarte, Gisleia Benini de Souza Melo, André Inquiry Original Research Article The present study aimed to identify the factors associated with the distribution of the first doses of the COVID-19 vaccine. In this study, we used 9 variables: human development index (HDI), gross domestic product (GDP per capita), Gini index, population density, extreme poverty, life expectancy, COVID cases, COVID deaths, and reproduction rate. The time period was until February 1, 2021. The variable of interest was the sum of the days after the vaccine arrived in the countries. Pearson’s correlation coefficients were calculated, and t-test was performed between the groups that received and did not receive the immunizer, and finally, a stepwise linear regression model was used. 58 (30.4%) of the 191 countries received the SARS-CoV-2 vaccine. The countries that received the most doses were the United States, China, the United Kingdom, and Israel. Vaccine access in days showed a positive Pearson correlation HDI, GDP, life expectancy, COVID-19 cases, deaths, and reproduction rate. Human development level, COVID-19 deaths, GDP per capita, and population density are able to explain almost 50% of the speed of access to immunizers. Countries with higher HDI and per capita income obtained priority access. SAGE Publications 2021-11-25 /pmc/articles/PMC8649438/ /pubmed/34823403 http://dx.doi.org/10.1177/00469580211060184 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Original Research Article Sobral, Marcos Felipe Falcão Bezerra de Oliveira, Brigitte Renata Gomes da Penha Sobral, Ana Iza Monteiro Marinho, Marcelo Luiz Duarte, Gisleia Benini de Souza Melo, André SARS-COV-2 Vaccines: What Indicators are Associated with the Worldwide Distribution of the First Doses |
title | SARS-COV-2 Vaccines: What Indicators are Associated with the
Worldwide Distribution of the First Doses |
title_full | SARS-COV-2 Vaccines: What Indicators are Associated with the
Worldwide Distribution of the First Doses |
title_fullStr | SARS-COV-2 Vaccines: What Indicators are Associated with the
Worldwide Distribution of the First Doses |
title_full_unstemmed | SARS-COV-2 Vaccines: What Indicators are Associated with the
Worldwide Distribution of the First Doses |
title_short | SARS-COV-2 Vaccines: What Indicators are Associated with the
Worldwide Distribution of the First Doses |
title_sort | sars-cov-2 vaccines: what indicators are associated with the
worldwide distribution of the first doses |
topic | Original Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8649438/ https://www.ncbi.nlm.nih.gov/pubmed/34823403 http://dx.doi.org/10.1177/00469580211060184 |
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