Evidence map›Paper›PMID 38597469›Full record

ArticleRevista peruana de medicina experimental y salud publica

Geographic areas with the highest concentration of traffic accidents in San Salvador, El Salvador: a spatial analysis of the 2014-2018 period.

Roberto Mejía, Edgar Quinteros, Alexandre Ribó Arnau

Abstract read
In one paragraph

Article in Revista peruana de medicina experimental y salud publica. 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

3 authors.

Roberto MejíaInstituto Nacional de Salud, San Salvador, El Salvador.ORCID http://orcid.org/0000-0003-0690-656X
Edgar QuinterosInstituto Nacional de Salud, San Salvador, El Salvador.ORCID http://orcid.org/0000-0003-0939-7318
Alexandre Ribó ArnauDepartament d'ensenyament, Generalitat de Catalunya, España.ORCID http://orcid.org/0000-0002-1829-038X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

OBJECTIVE.: This study aimed to identify the areas with the highest concentration of traffic accidents and injuries in the San Salvador Metropolitan Area (SSMA). MATERIALS AND METHODS.: Traffic accidents were analyzed spatially by point location and by the sum of events in areas of 200 m2. The point location was analyzed by "nearest neighbor analysis", while the areas with the sum of traffic accidents were analyzed by Getis-Ord Gi* to obtain the hot spots. The resulting hot spots with the highest concentration of traffic accidents in the SSMA were evaluated in the field using an observation form to collect data on infrastructure and road safety characteristics. RESULTS.: Five areas with the highest number of traffic accidents and injuries, mainly containing primary roads, were identified by analyzing 8191 traffic accidents reported between 2014-2018. CONCLUSION.: The sites with the highest concentration of traffic accidents and injuries were characterized by considerably damaged road infrastructure and the lack of safety systems for drivers and pedestrians. The spatial analysis of traffic accidents and injuries can contribute to improve surveillance and road safety in the SSMA.

Indexed as

Accidents, TrafficCluster AnalysisEl SalvadorSpatial Analysis

Identifiers

PMID38597469
PMCPMC11138829

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.