Work

Author Correction: Opioid death projections with AI-based forecasts using social media language

Year: 2023

Type: erratum

Abstract: The Acknowledgements statement is now amended to: ‘Support for this research was provided by the following grants: (1) Large-scale Data Scientific Assessment of Unhealthy Alcohol Consumption Among Front-Line Restaurant Workers (NIH-NIAAA R01 AA028032) and (2) Advancing Language-based Analyses of Social Media to Reliably Monitor Variation in Population Mental Health (NIH-NIMH R01 MH125702). Additionally, this research was in part supported by the Intramural Research Program of the NIH (ZIA DA000628).’ The original Article has been corrected.

Source: npj Digital Medicine

DOI: 10.1038/s41746-023-00793-z

Authors: Matthew Matero, Salvatore Giorgi, Brenda Curtis, Lyle H. Ungar, H. Andrew Schwartz

Institutions: Stony Brook University, National Institutes of Health, National Institute on Drug Abuse, University of Pennsylvania

Language: English

Topic: Opioid Use Disorder Treatment

Subfield: Public Health, Environmental and Occupational Health

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $3,590