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Global landscape of COVID-19 vaccination progress: insight from an exploratory data analysis
The next big step in combating the COVID-19 pandemic will be gaining widespread acceptance of a vaccination campaign for SARS-CoV-2. This study aims to report detailed Spatiotemporal analysis and result-oriented storytelling of the COVID-19 vaccination campaign across the globe. An exploratory data...
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Published in: | Human vaccines & immunotherapeutics 2022-12, Vol.18 (1), p.2025009 |
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container_title | Human vaccines & immunotherapeutics |
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creator | Dey, Samrat Kumar Rahman, Md. Mahbubur Siddiqi, Umme Raihan Howlader, Arpita Tushar, Md. Arifuzzaman Qazi, Atika |
description | The next big step in combating the COVID-19 pandemic will be gaining widespread acceptance of a vaccination campaign for SARS-CoV-2. This study aims to report detailed Spatiotemporal analysis and result-oriented storytelling of the COVID-19 vaccination campaign across the globe. An exploratory data analysis (EDA) with interactive data visualization using various python libraries was conducted. The results show that, globally, with the rapid vaccine development and distribution, people from the different regions are also getting vaccinated and revealing their positive intent toward the COVID-19 vaccination. The outcomes of this exploration also established that mass vaccination campaigns in populated countries including Brazil, China, India, and the US reduced the number of daily COVID-19 deaths and confirmed cases. Overall, our findings contribute to current policy-relevant research by establishing a link between increasing immunization rates and lowering COVID-19's rising curve. |
doi_str_mv | 10.1080/21645515.2021.2025009 |
format | article |
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subjects | Coronavirus – Review COVID-19 COVID-19 - epidemiology COVID-19 - prevention & control COVID-19 Vaccines Data Analysis EDA Humans Pandemics - prevention & control Review SARS-CoV-2 Vaccination visualization worldwide |
title | Global landscape of COVID-19 vaccination progress: insight from an exploratory data analysis |
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