Global landscape of COVID-19 vaccination progress: insight from an exploratory data analysis.

Samrat Kumar Dey, Md Mahbubur Rahman, Umme Raihan Siddiqi, Arpita Howlader, Md Arifuzzaman Tushar, Atika Qazi
Author Information
  1. Samrat Kumar Dey: School of Science and Technology (SST), Bangladesh Open University (BOU), Gazipur, Bangladesh. ORCID
  2. Md Mahbubur Rahman: Department of Computer Science and Engineering (CSE), Military Institute of Science and Technology (MIST), Dhaka, Bangladesh. ORCID
  3. Umme Raihan Siddiqi: Department of Physiology, Shaheed Suhrawardy Medical College (SHSMC), Dhaka, Bangladesh. ORCID
  4. Arpita Howlader: Department of Computer and Communication Engineering (CCE), Patuakhali Science and Technology University (PSTU), Patuakhali, Bangladesh. ORCID
  5. Md Arifuzzaman Tushar: Department of Computer Science and Engineering (CSE), Dhaka International University (DIU), Dhaka, Bangladesh. ORCID
  6. Atika Qazi: Centre for Lifelong Learning, University Brunei Darussalam, Gadong, Brunei. ORCID

Abstract

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.

Keywords

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MeSH Term

COVID-19
COVID-19 Vaccines
Data Analysis
Humans
Pandemics
SARS-CoV-2
Vaccination

Chemicals

COVID-19 Vaccines

Word Cloud

Created with Highcharts 10.0.0COVID-19vaccinationanalysisdatacampaignexploratoryEDAvisualizationalsonextbigstepcombatingpandemicwillgainingwidespreadacceptanceSARS-CoV-2studyaimsreportdetailedSpatiotemporalresult-orientedstorytellingacrossglobeinteractiveusingvariouspythonlibrariesconductedresultsshowgloballyrapidvaccinedevelopmentdistributionpeopledifferentregionsgettingvaccinatedrevealingpositiveintenttowardoutcomesexplorationestablishedmasscampaignspopulatedcountriesincludingBrazilChinaIndiaUSreducednumberdailydeathsconfirmedcasesOverallfindingscontributecurrentpolicy-relevantresearchestablishinglinkincreasingimmunizationratesloweringCOVID-19'srisingcurveGloballandscapeprogress:insightworldwide

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