Evidence map›Paper›PMID 32736649›Full record

ArticleBMC research notes2020

Paediatric, pedestrian road traffic injuries in the city of Mashhad in north-eastern Iran 2015-2019: a data note.

Parinaz Tabari, Hamidreza Shabanikiya, Nasser Bagheri, Robert Bergquist, Soheil Hashtarkhani, Fatemeh Kiani, Alireza Mohammadi, Behzad Kiani

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC research notes, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Parinaz TabariSchool of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran.
Hamidreza ShabanikiyaSocial Determinants of Health Research Centre, Mashhad University of Medical Sciences, Mashhad, Iran.
Nasser BagheriVisualization and Decision Analytics (VIDEA) Lab, Centre for Mental Health Research, Research School of Population Health, College of Health and Medicine, The Australian National University, Canberra, Australia.
Robert BergquistIngerod, Brastad, Sweden.
Soheil HashtarkhaniVisualization and Decision Analytics (VIDEA) Lab, Centre for Mental Health Research, Research School of Population Health, College of Health and Medicine, The Australian National University, Canberra, Australia.
Fatemeh KianiDepartment of Medical Informatics, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Alireza MohammadiDepartment of Geography & Planning, Faculty of Humanities, University of Mohaghegh Ardabili, Ardabil, Iran.
Behzad KianiDepartment of Medical Informatics, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran. kiani.behzad@gmail.com.ORCID http://orcid.org/0000-0002-8816-328X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe leading factors of paediatric, pedestrian road traffic injuries (PPRTIs) are associated with the characteristics of immediate environment. Spatial analysis of data related to PPRTIs could provide useful knowledge for public health specialists to prevent and decrease the number of accidents. Therefore, we aim to release the datasets which have been used to conduct a multiple-scale spatial analysis of PPRTIs in the city of Mashhad, Iran, between 2015-2019. DATA DESCRIPTION: The data include four datasets. The base PPRTIs dataset includes motor vehicle accidents and their attributes in the city of Mashhad between March 2015 and March 2019. The attribute data includes the month, day of the week, hour of the day, place (longitude and latitude) of each accident, age range of the child and gender. Furthermore, three spatial datasets about the city of Mashhad are introduced; (1) the digital boundaries of Neighbourhood, (2) road network dataset (street lines) and (3) urban suburbs of Mashhad.

Indexed as

PedestriansWounds and InjuriesAccidents, TrafficChildCitiesHumansIranSpatial AnalysisGeographic Information SystemsIranMashhadNon-spatial dataPaediatric AccidentPedestrian AccidentRoad Traffic InjuriesSpatial data

Identifiers

PMID32736649
PMCPMC7395334

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Registered trials

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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.