Evidence map›Paper›PMID 31394778›Full record

ArticleInternational journal of environmental research and public health2019

Noise Disturbances and Calls for Police Service in València (Spain): A Logistic Model with Spatial and Temporal Effects.

Lia Seguí, Adina Iftimi, Álvaro Briz-Redón, Lucía Martínez-Garay, Francisco Montes

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Lia SeguíDepartment of Statistics and Operations Research, University of València, 46100 Burjassot, Spain.
Adina IftimiHealth Services Research Unit, Foundation for the Promotion of Health and Biomedical Research of València Region (FISABIO), 46020 València, Spain.ORCID 0000-0001-8117-3461
Álvaro Briz-RedónDepartment of Statistics and Operations Research, University of València, 46100 Burjassot, Spain.ORCID 0000-0001-7976-3534
Lucía Martínez-GarayDepartment of Criminal Law, University of València, 46022 València, Spain.
Francisco MontesDepartment of Statistics and Operations Research, University of València, 46100 Burjassot, Spain. Francisco.Montes@uv.es.ORCID 0000-0002-1708-9385

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of this paper is to explore the presence of spatial and temporal effects on the calls for noise disturbance service reported to the Local Police of València (Spain) in the time period from 2014 to 2015, and investigate how some socio-demographic and environmental variables affect the noise phenomenon. The analysis is performed at the level of València's boroughs. It has been carried out using a logistic model after dichotomization of the noise incidence variable. The spatial effects consider first- and second-order neighbors. The temporal effects are included in the model by means of one- and two-week temporal lags. Our model confirms the presence of strong spatio-temporal effects. We also find significant associations between noise incidence and specific age groups, socio-economic status, land uses, and recreational activities, among other variables. The results suggest that there is a problem of "social" noise in València that is not exclusively a consequence of coexistence between local residents. External factors such as the increasing number of people on the streets during weekend nights or during summer months severely increase the chances of expecting a noise incident.

Indexed as

NoiseSocial ClassAge FactorsHumansLogistic ModelsPoliceRecreationSpainGISlogistic regressionnoise disturbancesresident complaintssocio-demographic and environmental effectsspatio-temporal effects

Identifiers

PMID31394778
PMCPMC6720910

What OpenQuestion holds

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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.