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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SAGE Publishing,
2021-11-01T00:00:00Z.
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LEADER | 00000 am a22000003u 4500 | ||
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001 | doaj_49295ff2f79f496384e8d07f97d24d4c | ||
042 | |a dc | ||
100 | 1 | 0 | |a Marcos Felipe Falcão Sobral DSc |e author |
700 | 1 | 0 | |a Brigitte Renata Bezerra de Oliveira DSc |e author |
700 | 1 | 0 | |a Ana Iza Gomes da Penha Sobral DSc |e author |
700 | 1 | 0 | |a Marcelo Luiz Monteiro Marinho DSc |e author |
700 | 1 | 0 | |a Gisleia Benini Duarte DSc |e author |
700 | 1 | 0 | |a André de Souza Melo DSc |e author |
245 | 0 | 0 | |a SARS-COV-2 Vaccines: What Indicators are Associated with the Worldwide Distribution of the First Doses |
260 | |b SAGE Publishing, |c 2021-11-01T00:00:00Z. | ||
500 | |a 0046-9580 | ||
500 | |a 1945-7243 | ||
500 | |a 10.1177/00469580211060184 | ||
520 | |a 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. | ||
546 | |a EN | ||
690 | |a Public aspects of medicine | ||
690 | |a RA1-1270 | ||
655 | 7 | |a article |2 local | |
786 | 0 | |n Inquiry: The Journal of Health Care Organization, Provision, and Financing, Vol 58 (2021) | |
787 | 0 | |n https://doi.org/10.1177/00469580211060184 | |
787 | 0 | |n https://doaj.org/toc/0046-9580 | |
787 | 0 | |n https://doaj.org/toc/1945-7243 | |
856 | 4 | 1 | |u https://doaj.org/article/49295ff2f79f496384e8d07f97d24d4c |z Connect to this object online. |