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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
Main Authors: Dey, Samrat Kumar, Rahman, Md. Mahbubur, Siddiqi, Umme Raihan, Howlader, Arpita, Tushar, Md. Arifuzzaman, Qazi, Atika
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container_title Human vaccines & immunotherapeutics
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Rahman, Md. Mahbubur
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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.
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source Taylor & Francis Open Access; PubMed Central
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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