Evidence map›Paper›PMID 28684714›Full record

ArticleInternational journal of environmental research and public health2017

Spatio-Temporal Analysis of Suicide-Related Emergency Calls.

Miriam Marco, Antonio López-Quílez, David Conesa, Enrique Gracia, Marisol Lila

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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.

Miriam MarcoDepartment of Social Psychology, University of Valencia, Avda. Blasco Ibáñez, 21, 46010 Valencia, Spain. miriam.marco-francisco@uv.es.
Antonio López-QuílezDepartment of Statistics and Operations Research, University of Valencia, Dr. Moliner, 50, 46100 Burjassot, Spain. antonio.lopez@uv.es.
David ConesaDepartment of Statistics and Operations Research, University of Valencia, Dr. Moliner, 50, 46100 Burjassot, Spain. david.v.conesa@uv.es.
Enrique GraciaDepartment of Social Psychology, University of Valencia, Avda. Blasco Ibáñez, 21, 46010 Valencia, Spain. enrique.gracia@uv.es.
Marisol LilaDepartment of Social Psychology, University of Valencia, Avda. Blasco Ibáñez, 21, 46010 Valencia, Spain. marisol.lila@uv.es.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Considerable effort has been devoted to incorporate temporal trends in disease mapping. In this line, this work describes the importance of including the effect of the seasonality in a particular setting related with suicides. In particular, the number of suicide-related emergency calls is modeled by means of an autoregressive approach to spatio-temporal disease mapping that allows for incorporating the possible interaction between both temporal and spatial effects. Results show the importance of including seasonality effect, as there are differences between the number of suicide-related emergency calls between the four seasons of each year.

Indexed as

Emergency Medical DispatchHumansSeasonsSpatio-Temporal AnalysisSuicidebayesian modelingdisease mappingpolice calls-for-serviceseasonalitysocial epidemiology

Identifiers

PMID28684714
PMCPMC5551173

What OpenQuestion holds

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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.