anpatton/overdoseR: Predictive Modeling for Opioid Overdoses from EMS Data

This package is intended to be the first step in developing an in-house opioid overdose surveillance system for research and/or outreach based on Emergency Medical Services (EMS) data. It is an improvement of work conducted from 2017-2019 for the Marin County Department of Health and Human Services that created a near real-time surveillance and outreach system for multiple drugs of public health concern from EMS data (Development of Text-Based Algorithm for Opioid Overdose Identification in EMS Data. International Society for Disease Surveillance Annual Meeting 2019. Oral Presentation. Patton, A). Surveillance systems from overdoseR can created from custom models based on data from your own jurisdiction and can also directly use pre-validated and tuned models from Marin County Department of Health and Human Services. In practice from 2017-2019 in a live surveillance system, these models and their variations were over 99% specific and 95% sensitive for opioid overdoses and opioid related events.

install.packages("remotes")
remotes::install_github("anpatton/overdoseR")