Evidence map›Paper›PMID 41536361›Full record

ArticleGeographical analysis2025

Exploring Space-Time Interactions in Fatal Opioid Overdoses.

Sergio J Rey, Elijah Knaap, Alejandra Cabral, Jennifer Syvertsen

Abstract read
In one paragraph

Article in Geographical analysis, 2025. 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

4 authors.

Sergio J ReyCenter for Open Geographical Science, San Diego State University, San Diego, California, USA.
Elijah KnaapCenter for Open Geographical Science, San Diego State University, San Diego, California, USA.
Alejandra CabralDepartment of Community Health Sciences, University of California, Los Angeles, California, USA.
Jennifer SyvertsenDepartment of Anthropology, University of California, Riverside, California, USA.

Funding

Building an innovative Ethno-Geographic Information System (EGIS) to address opioid overdose disparities in Inland So CaR21DA054611 · NIDA · UNIVERSITY OF CALIFORNIA RIVERSIDE · PI SYVERTSEN, JENNIFER LEIGH · 2021 to 2022
$422k
NIDA NIH HHS R21 DA054611
6 · The paper itself

Abstract

This study investigates fatal opioid overdoses in Riverside County, California, between January 2020 and March 2023, employing advanced spatial-temporal analysis methods to uncover significant clusters and their underlying contexts. By integrating global and local Knox tests, the research identifies both broad trends and specific hotspots of fatal overdoses. The findings reveal substantial spatial disparities, with higher overdose rates in rural areas and neighborhoods characterized by lower socioeconomic status and larger Hispanic populations. Despite a lower overall overdose risk among Hispanics, their neighborhoods exhibit a higher occurrence of fatal overdoses, highlighting complex interactions between individual and environmental factors. These insights underscore the need for targeted, contextually informed public health interventions and policies to effectively address the opioid crisis.

Indexed as

harm reduction strategiesopioid overdose clusterspace-time analysisspatial epidemiology

Identifiers

PMID41536361
PMCPMC12799247

What OpenQuestion holds

Textmetadata
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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.