Evidence map›Paper›PMID 35050838›Full record

ArticleHuman vaccines & immunotherapeutics2022

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

Abstract read
In one paragraph

Article in Human vaccines & immunotherapeutics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. Production and Immunogenicity Assessment of LTp50: AnPharmaceuticals (Basel, Switzerland) · 2024
    Article
  3. Systematic documentation of the introduction of COVID-19 vaccines in Latin America and the Caribbean.Revista panamericana de salud publica = Pan American journal of public health · 2024
    Article
  4. Article
  5. Article
  6. Vaccine-induced immune thrombotic thrombocytopenia.Best practice & research. Clinical haematology · 2022
    Review
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Samrat Kumar DeySchool of Science and Technology (SST), Bangladesh Open University (BOU), Gazipur, Bangladesh.ORCID 0000-0002-7999-8576
Md Mahbubur RahmanDepartment of Computer Science and Engineering (CSE), Military Institute of Science and Technology (MIST), Dhaka, Bangladesh.ORCID 0000-0001-6525-2274
Umme Raihan SiddiqiDepartment of Physiology, Shaheed Suhrawardy Medical College (SHSMC), Dhaka, Bangladesh.ORCID 0000-0001-6550-4179
Arpita HowladerDepartment of Computer and Communication Engineering (CCE), Patuakhali Science and Technology University (PSTU), Patuakhali, Bangladesh.ORCID 0000-0001-5413-2277
Md Arifuzzaman TusharDepartment of Computer Science and Engineering (CSE), Dhaka International University (DIU), Dhaka, Bangladesh.ORCID 0000-0001-5325-3771
Atika QaziCentre for Lifelong Learning, University Brunei Darussalam, Gadong, Brunei.ORCID 0000-0002-3565-6355

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

COVID-19COVID-19 VaccinesData AnalysisHumansPandemicsSARS-CoV-2VaccinationCOVID-19 VaccinesCOVID-19data analysisEDAvaccinationvisualizationworldwide

Identifiers

PMID35050838
PMCPMC8993095

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.