- Joined
- Feb 6, 2015
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- 134
The whole thing was too long so here's a cut/paste:
[SIZE=14.3787px]Conclusion[/SIZE]
[SIZE=13.6807px]We examined real-world, longitudinal social media data[/SIZE]
[SIZE=13.6807px]from online opioid-related forum[/SIZE]s to explore patterns
[SIZE=13.6807px]in opioid and stimulant discussions and found large[/SIZE]
[SIZE=13.6807px]increases in co-mentions of opioids or opioid-related[/SIZE]
[SIZE=13.6807px]medications and stimulants. These findings are consist-[/SIZE]
[SIZE=13.6807px]ent with those from other health data sources suggesting[/SIZE]
[SIZE=13.6807px]growing co-use of these substances and resultant harms.[/SIZE]
[SIZE=13.6807px]Although a multitude of factors may influence substance[/SIZE]
[SIZE=13.6807px]use trends, many are difficult to elucidate and explore[/SIZE]
[SIZE=13.6807px]using traditional data sources such as survey records[/SIZE]
[SIZE=13.6807px]or health care data. The social media data we explored[/SIZE]
[SIZE=13.6807px]offer important exploratory insights into which opioids[/SIZE]
[SIZE=13.6807px]or opioid-related medications and stimulants are most[/SIZE]
[SIZE=13.6807px]frequently co-mentioned and how these patterns have[/SIZE]
[SIZE=13.6807px]changed over time. These data derived from real-world[/SIZE]
[SIZE=13.6807px]conversations may help in hypothesis generation and[/SIZE]
[SIZE=13.6807px]yield early insights to shape prevention activities address-[/SIZE]
[SIZE=13.6807px]ing health harms associated with opioid and stimulant[/SIZE]
[SIZE=13.6807px]co-use[/SIZE]
[SIZE=14.3787px]Conclusion[/SIZE]
[SIZE=13.6807px]We examined real-world, longitudinal social media data[/SIZE]
[SIZE=13.6807px]from online opioid-related forum[/SIZE]s to explore patterns
[SIZE=13.6807px]in opioid and stimulant discussions and found large[/SIZE]
[SIZE=13.6807px]increases in co-mentions of opioids or opioid-related[/SIZE]
[SIZE=13.6807px]medications and stimulants. These findings are consist-[/SIZE]
[SIZE=13.6807px]ent with those from other health data sources suggesting[/SIZE]
[SIZE=13.6807px]growing co-use of these substances and resultant harms.[/SIZE]
[SIZE=13.6807px]Although a multitude of factors may influence substance[/SIZE]
[SIZE=13.6807px]use trends, many are difficult to elucidate and explore[/SIZE]
[SIZE=13.6807px]using traditional data sources such as survey records[/SIZE]
[SIZE=13.6807px]or health care data. The social media data we explored[/SIZE]
[SIZE=13.6807px]offer important exploratory insights into which opioids[/SIZE]
[SIZE=13.6807px]or opioid-related medications and stimulants are most[/SIZE]
[SIZE=13.6807px]frequently co-mentioned and how these patterns have[/SIZE]
[SIZE=13.6807px]changed over time. These data derived from real-world[/SIZE]
[SIZE=13.6807px]conversations may help in hypothesis generation and[/SIZE]
[SIZE=13.6807px]yield early insights to shape prevention activities address-[/SIZE]
[SIZE=13.6807px]ing health harms associated with opioid and stimulant[/SIZE]
[SIZE=13.6807px]co-use[/SIZE]