Mapping Overdose Risk in Real Time: A Risk Terrain Modeling Analysis of 911 Calls in Detroit, 2022-2024

RTM applied to 911 call data offers a timely, place-based approach to identifying overdose risk. Public health agencies may use this method to prioritize harm reduction strategies and allocate resources more effectively.

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Publication Details

Journal
Journal of Public Health Management and Practice
Published
2025-09-19
DOI
https://doi.org/10.1097/phh.0000000000002238
Primary Topic
Data-Driven Disease Surveillance
Type
article
Field-Weighted Citation Impact
0.00
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article

Mapping Overdose Risk in Real Time: A Risk Terrain Modeling Analysis of 911 Calls in Detroit, 2022-2024

Timothy C. Hart, Kim Michelle Lersch
Journal of Public Health Management and Practice
Data-Driven Disease Surveillance
article

Mapping Overdose Risk in Real Time: A Risk Terrain Modeling Analysis of 911 Calls in Detroit, 2022-2024

Timothy C. Hart, Kim Michelle Lersch
article en

Abstract

RTM applied to 911 call data offers a timely, place-based approach to identifying overdose risk. Public health agencies may use this method to prioritize harm reduction strategies and allocate resources more effectively.

Journal of Public Health Management and PracticeVol. 32(1)
Université de Dschang (CM), University of South Florida (US), University of Tampa (US)
Openalex Percentile: Top 65%
Data-Driven Disease Surveillance
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