A counterfactual analysis of opioid-involved deaths during the COVID-19 pandemic using a spatiotemporal random forest modeling approach

Author:

Xia ZhiyueORCID,Stewart Kathleen

Publisher

Elsevier BV

Subject

Public Health, Environmental and Occupational Health,Geography, Planning and Development,Health (social science)

Reference64 articles.

1. Issue Brief: Reports of Increases in Opioidrelated Overdose and Other Concerns during COVID Pandemic;American Medical Association,2020

2. Development of QSAR machine learning-based models to forecast the effect of substances on malignant melanoma cells;Ancuceanu;Oncol. Lett.,2019

3. When epidemics collide: coronavirus Disease 2019 (COVID-19) and the opioid crisis;Becker;Ann. Intern. Med.,2020

4. COVID-19 pandemic in the United States;Bergquist;Health Policy Technol.,2020

5. Random forests;Breiman;Mach. Learn.,2001

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