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...

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Autores principales:	Marcos Felipe Falcão Sobral DSc, Brigitte Renata Bezerra de Oliveira DSc, Ana Iza Gomes da Penha Sobral DSc, Marcelo Luiz Monteiro Marinho DSc, Gisleia Benini Duarte DSc, André de Souza Melo DSc
Formato:	article
Lenguaje:	EN
Publicado:	SAGE Publishing 2021
Materias:	Public aspects of medicine RA1-1270
Acceso en línea:	https://doaj.org/article/49295ff2f79f496384e8d07f97d24d4c
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spelling	oai:doaj.org-article:49295ff2f79f496384e8d07f97d24d4c2021-12-01T22:34:48ZSARS-COV-2 Vaccines: What Indicators are Associated with the Worldwide Distribution of the First Doses0046-95801945-724310.1177/00469580211060184https://doaj.org/article/49295ff2f79f496384e8d07f97d24d4c2021-11-01T00:00:00Zhttps://doi.org/10.1177/00469580211060184https://doaj.org/toc/0046-9580https://doaj.org/toc/1945-7243The 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.Marcos Felipe Falcão Sobral DScBrigitte Renata Bezerra de Oliveira DScAna Iza Gomes da Penha Sobral DScMarcelo Luiz Monteiro Marinho DScGisleia Benini Duarte DScAndré de Souza Melo DScSAGE PublishingarticlePublic aspects of medicineRA1-1270ENInquiry: The Journal of Health Care Organization, Provision, and Financing, Vol 58 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Public aspects of medicine RA1-1270
spellingShingle	Public aspects of medicine RA1-1270 Marcos Felipe Falcão Sobral DSc Brigitte Renata Bezerra de Oliveira DSc Ana Iza Gomes da Penha Sobral DSc Marcelo Luiz Monteiro Marinho DSc Gisleia Benini Duarte DSc André de Souza Melo DSc SARS-COV-2 Vaccines: What Indicators are Associated with the Worldwide Distribution of the First Doses
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	article
author	Marcos Felipe Falcão Sobral DSc Brigitte Renata Bezerra de Oliveira DSc Ana Iza Gomes da Penha Sobral DSc Marcelo Luiz Monteiro Marinho DSc Gisleia Benini Duarte DSc André de Souza Melo DSc
author_facet	Marcos Felipe Falcão Sobral DSc Brigitte Renata Bezerra de Oliveira DSc Ana Iza Gomes da Penha Sobral DSc Marcelo Luiz Monteiro Marinho DSc Gisleia Benini Duarte DSc André de Souza Melo DSc
author_sort	Marcos Felipe Falcão Sobral DSc
title	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_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_sort	sars-cov-2 vaccines: what indicators are associated with the worldwide distribution of the first doses
publisher	SAGE Publishing
publishDate	2021
url	https://doaj.org/article/49295ff2f79f496384e8d07f97d24d4c
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SARS-COV-2 Vaccines: What Indicators are Associated with the Worldwide Distribution of the First Doses

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