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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8993095/ https://www.ncbi.nlm.nih.gov/pubmed/35050838 http://dx.doi.org/10.1080/21645515.2021.2025009 |
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author | Dey, Samrat Kumar Rahman, Md. Mahbubur Siddiqi, Umme Raihan Howlader, Arpita Tushar, Md. Arifuzzaman Qazi, Atika |
author_facet | Dey, Samrat Kumar Rahman, Md. Mahbubur Siddiqi, Umme Raihan Howlader, Arpita Tushar, Md. Arifuzzaman Qazi, Atika |
author_sort | Dey, Samrat Kumar |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-8993095 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Taylor & Francis |
record_format | MEDLINE/PubMed |
spelling | pubmed-89930952022-04-09 Global landscape of COVID-19 vaccination progress: insight from an exploratory data analysis Dey, Samrat Kumar Rahman, Md. Mahbubur Siddiqi, Umme Raihan Howlader, Arpita Tushar, Md. Arifuzzaman Qazi, Atika Hum Vaccin Immunother Coronavirus – Review 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. Taylor & Francis 2022-01-20 /pmc/articles/PMC8993095/ /pubmed/35050838 http://dx.doi.org/10.1080/21645515.2021.2025009 Text en © 2022 The Author(s). Published with license by Taylor & Francis Group, LLC. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) ), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way. |
spellingShingle | Coronavirus – Review Dey, Samrat Kumar Rahman, Md. Mahbubur Siddiqi, Umme Raihan Howlader, Arpita Tushar, Md. Arifuzzaman Qazi, Atika Global landscape of COVID-19 vaccination progress: insight from an exploratory data analysis |
title | Global landscape of COVID-19 vaccination progress: insight from an exploratory data analysis |
title_full | Global landscape of COVID-19 vaccination progress: insight from an exploratory data analysis |
title_fullStr | Global landscape of COVID-19 vaccination progress: insight from an exploratory data analysis |
title_full_unstemmed | Global landscape of COVID-19 vaccination progress: insight from an exploratory data analysis |
title_short | Global landscape of COVID-19 vaccination progress: insight from an exploratory data analysis |
title_sort | global landscape of covid-19 vaccination progress: insight from an exploratory data analysis |
topic | Coronavirus – Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8993095/ https://www.ncbi.nlm.nih.gov/pubmed/35050838 http://dx.doi.org/10.1080/21645515.2021.2025009 |
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