Open AccessPredicting the Future Course of Opioid Overdose Mortality: An Example From Two US States
Author(s) -
Natalie Sumetsky,
Christina Mair,
Katherine Wheeler-Martin,
Magdalena Cerdá,
Lance A. Waller,
William R. Ponicki,
Paul J. Gruenewald
Publication year - 2020
Publication title -
epidemiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.901
H-Index - 173
eISSN - 1531-5487
pISSN - 1044-3983
DOI - 10.1097/ede.0000000000001264
Subject(s) - demography , poisson regression , opioid overdose , medicine , logistic regression , population , statistics , poisson distribution , mortality rate , population growth , case fatality rate , geography , econometrics , opioid , environmental health , mathematics , surgery , (+) naloxone , receptor , sociology
The rapid growth of opioid abuse and the related mortality across the United States has spurred the development of predictive models for the allocation of public health resources. These models should characterize heterogeneous growth across states using a drug epidemic framework that enables assessments of epidemic onset, rates of growth, and limited capacities for epidemic growth.