Evidence map›Paper›PMID 34831801›Full record

ArticleInternational journal of environmental research and public health2021

Spatial Analysis of COVID-19 Vaccination: A Scoping Review.

Abolfazl Mollalo, Alireza Mohammadi, Sara Mavaddati, Behzad Kiani

Open access · goldAbstract readScoping Review
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 11% of its field
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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Spatial and Temporal Analysis of COVID-19 Cases in West Java, Indonesia and Its Influencing Factors.International journal of environmental research and public health · 2023
    Article
  10. Article
  11. Article
  12. Article
  13. 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

4 authors at 4 institutions in 3 countries.

Abolfazl MollaloDepartment of Public Health and Prevention Science, School of Health Sciences, Baldwin Wallace University, Berea, OH 44017, USA.ORCID 0000-0001-5092-0698
Alireza MohammadiDepartment of Geography and Urban Planning, Faculty of Social Sciences, University of Mohaghegh Ardabili, Ardabil 56199, Iran.ORCID 0000-0002-3327-0942
Sara MavaddatiFaculty of Medicine & Surgery, Policlinic University Hospital of Bari Aldo Moro, 70124 Bari, Italy.
Behzad KianiDepartment of Medical Informatics, School of Medicine, Mashhad University of Medical Sciences, Mashhad 91779, Iran.
Baldwin Wallace University · USMashhad University of Medical Sciences · IRUniversity of Bari Aldo Moro · ITUniversity of Mohaghegh Ardabili · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Spatial analysis of COVID-19 vaccination research is increasing in recent literature due to the availability of COVID-19 vaccination data that usually contain location components. However, to our knowledge, no previous study has provided a comprehensive review of this research area. Therefore, in this scoping review, we examined the breadth of spatial and spatiotemporal vaccination studies to summarize previous findings, highlight research gaps, and provide guidelines for future research. We performed this review according to the five-stage methodological framework developed by Arksey and O'Malley. We screened all articles published in PubMed/MEDLINE, Scopus, and Web of Science databases, as of 21 September 2021, that had employed at least one form of spatial analysis of COVID-19 vaccination. In total, 36 articles met the inclusion criteria and were organized into four main themes: disease surveillance (n = 35); risk analysis (n = 14); health access (n = 16); and community health profiling (n = 2). Our findings suggested that most studies utilized preliminary spatial analysis techniques, such as disease mapping, which might not lead to robust inferences. Moreover, few studies addressed data quality, modifiable areal unit problems, and spatial dependence, highlighting the need for more sophisticated spatial and spatiotemporal analysis techniques.

Indexed as

COVID-19COVID-19 VaccinesHumansSARS-CoV-2Spatial AnalysisVaccinationCOVID-19 VaccinesCOVID-19GISscoping reviewspatial analysisvaccination

Identifiers

PMID34831801
PMCPMC8624385
OpenAlexW3211746467

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.