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Forecasting drug-overdose mortality by age in the United States at the national and county levels.

Lucas BöttcherTom ChouMaria R D'Orsogna
Published in: PNAS nexus (2024)
The drug-overdose crisis in the United States continues to intensify. Fatalities have increased 5-fold since 1999 reaching a record high of 108,000 deaths in 2021. The epidemic has unfolded through distinct waves of different drug types, uniquely impacting various age, gender, race, and ethnic groups in specific geographical areas. One major challenge in designing interventions and efficiently delivering treatment is forecasting age-specific overdose patterns at the local level. To address this need, we develop a forecasting method that assimilates observational data obtained from the CDC WONDER database with an age-structured model of addiction and overdose mortality. We apply our method nationwide and to three select areas: Los Angeles County, Cook County, and the five boroughs of New York City, providing forecasts of drug-overdose mortality and estimates of relevant epidemiological quantities, such as mortality and age-specific addiction rates.
Keyphrases
  • cardiovascular events
  • adverse drug
  • risk factors
  • public health
  • mental health
  • emergency department
  • cell proliferation
  • cross sectional
  • machine learning
  • quality improvement
  • big data
  • replacement therapy