The System For Opioid Overdose Surveillance (SOS)

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Opioid overdose represents an urgent public health problem in the United States, with Michigan ranking among the states hardest hit by the dramatic escalation over the past 15 years. A key component of addressing this crisis is timely surveillance—and accompanying data analytics—that can be used to guide resource allocation used for rapid response and prevention.

SOS is a web-based tool that offers two level of access. The first level is public, and displays county-level summaries. The second level of access—which is available to authorized public health and public safety users across the state of Michigan —maps non-fatal and fatal opioid overdose incidents in near real-time, and provides demographic briefs. This interactive dashboard includes features that allow users to tailor visualizations to meet their specific needs. Users can select a data source, a zoom window, and a time frame to display points and descriptive summaries of suspected overdoses. Users can also toggle buttons to restrict the visualizations and summaries to only specific subsets (e.g., age groups and/or genders). This previously unavailable tool is designed to inform data-driven opioid overdose prevention and response efforts with the goal of reducing overdose injuries and fatalities.

SOS was created through a partnership between the University of Michigan Injury Prevention Center and Michigan High Intensity Drug Trafficking Areas (HIDTA).

Change in Michigan Overdoses during the COVID-19 Pandemic


The impact of the COVID-19 pandemic on opioid overdose rates is uncertain. This new flyer addresses opioid overdose trends before and during COVID-19 using data from the SOS.


Overall Trends:

  • From counties with available data (Fig. 3), suspected fatal overdoses from 3/1/20-9/16/20 were 15.0% higher than the same period in 2019.
  • Statewide EMS naloxone administrations from 3/1/20-9/16/20 were 28.8% higher than the same period in 2019.
  • Changes from 2019 to 2020 in both data sources varied across both time (Figures 1, 2) and space (Figures 3, 4).

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