Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Dey, Samrat Kumar, Rahman, Md. Mahbubur, Siddiqi, Umme Raihan, Howlader, Arpita, Tushar, Md. Arifuzzaman, Qazi, Atika
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2022
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
_version_ 1784683843756752896
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
work_keys_str_mv AT deysamratkumar globallandscapeofcovid19vaccinationprogressinsightfromanexploratorydataanalysis
AT rahmanmdmahbubur globallandscapeofcovid19vaccinationprogressinsightfromanexploratorydataanalysis
AT siddiqiummeraihan globallandscapeofcovid19vaccinationprogressinsightfromanexploratorydataanalysis
AT howladerarpita globallandscapeofcovid19vaccinationprogressinsightfromanexploratorydataanalysis
AT tusharmdarifuzzaman globallandscapeofcovid19vaccinationprogressinsightfromanexploratorydataanalysis
AT qaziatika globallandscapeofcovid19vaccinationprogressinsightfromanexploratorydataanalysis