Tracking the opioid epidemic with social media: an early warning system
Tracking the opioid epidemic with social media: an early warning system
批准号:
10588908
负责人:
RUSS BIAGIO ALTMAN
金额:
$43.29万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2022
资助国家:
美国
项目状态:
已结题
起止时间:
2022-09-30 至 2024-09-29
关键词:
AlcoholsAmericanAreaBenzodiazepinesCensusesCenters for Disease Control and Prevention (U.S.)Cessation of lifeClinical Laboratory Information SystemsComplexCountyDangerousnessDataData AggregationData ScienceData SourcesDeath RateDetectionDimensionsDisease OutbreaksDrug ModelingsEcosystemEpidemicFeedsFentanylForensic MedicineGoalsGrantHealthHealth Services AccessibilityHealth StatusHeart DiseasesInformation CentersInfrastructureMeasuresMedicineMental DepressionMethamphetamineModelingMonitorMorbidity - disease rateNaloxoneOpioidOverdosePharmaceutical PreparationsPolicy MakerPolypharmacyPopulationPositioning AttributeProxyPsychiatryPsychologyPublic HealthPublished CommentReportingResolutionResourcesRiskRisk FactorsSignal TransductionSourceSpeedSubstance Use DisorderSystemTimeTwitterUnited StatesVital StatisticsWorkcohortcomorbiditydigitalepidemiologic dataimprovedinsightmetropolitanmortalityopioid epidemicopioid mortalityopioid usepandemic diseasepopulation healthresponsesocialsocial mediastemsuccesssynthetic opioidtemporal measurementtooltrend
中文摘要
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英文摘要
Project Summary
The opioid epidemic has continued to take a high death toll within the US, even accelerating
during the pandemic. Stemming and stopping the pandemic will require a multi-prong effort
along many health, social, even cultural dimensions. One important goal is to improve our ability
to monitor the epidemic–both the speed of detection of opioid-use hotspots and precise geo-
localization. Social media data represents an intriguing opportunity as it provides direct-report
posts from the population–which may be useful for detecting and localizing opioid activity.
However there has not been a careful systematic assessment of the utility (and pitfalls) for
broad use of social media. In this proposal, we outline a plan to combine Reddit and Twitter to
assess the ability to track opioid-associated mortality. We will focus on extracting mentions of
fentanyl in social media, as it is responsible for the majority of deaths. We will also focus on
modifiers that may be predictive of deadly use, particularly the use of opioids alone or in groups,
the functional availability of naloxone, and the use of comorbid drugs. We will explore the limits
of utility of social media data by aggregating it at multiple geo-spatial scales: national, regional,
state and county (or county-sets that aggregate sparsely populated counties). We will also
explore the time scales at which we can see relevant signals: annual, semi-annual, quarterly
and monthly. Thus, we have two aims:
1. To assess the ability of social media together to provide signals of opioid use (through
mentions of fentanyl and related synthetic opioids) that are correlated with mortality or proxies of
mortality at multiple geo-spatial and temporal resolutions.
2. To assess the utility of social media to provide information about group vs. solo use,
functional availability of naloxone and polypharmacy to modify the strength or urgency of opioid-
use signals.
The goal of our work is to generate a comprehensive preliminary assessment of the utility of
social media, as it exists in the real world and at multiple scales, as a component of the opioid
use surveillance system. Direct reports from the population may provide a useful “early warning”
system that when combined with other sources, will provide policy makers and public health
officials with a powerful set of tools for monitoring this public health crisis.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
UCSF-Stanford Center of Excellence in Regulatory Science
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批准号:10005040
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项目类别:
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资助金额:$307.15万
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财政年份:2016
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负责人:RUSS BIAGIO ALTMAN
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依托单位:
UCSF-Stanford Center of Excellence in Regulatory Science
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批准号:10325446
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项目类别:
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资助金额:$3.66万
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财政年份:2016
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负责人:RUSS BIAGIO ALTMAN
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依托单位:
UCSF-Stanford Center of Excellence in Regulatory Science
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批准号:9524938
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项目类别:
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资助金额:$6.0万
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财政年份:2016
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负责人:RUSS BIAGIO ALTMAN
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依托单位:
UCSF-Stanford Center of Excellence in Regulatory Science
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批准号:9931720
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项目类别:
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资助金额:$5.0万
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财政年份:2016
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负责人:RUSS BIAGIO ALTMAN
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依托单位:
UCSF-Stanford Center of Excellence in Regulatory Science and Innovation
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批准号:10690881
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项目类别:
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资助金额:$4.33万
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财政年份:2016
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负责人:RUSS BIAGIO ALTMAN
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依托单位:
UCSF-Stanford Center of Excellence in Regulatory Science and Innovation
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批准号:10755484
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项目类别:
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资助金额:$191.3万
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财政年份:2016
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负责人:RUSS BIAGIO ALTMAN
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依托单位:
UCSF-Stanford Center of Excellence in Regulatory Science and Innovation
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批准号:10615295
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项目类别:
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资助金额:$20.0万
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财政年份:2016
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负责人:RUSS BIAGIO ALTMAN
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依托单位:
UCSF-Stanford Center of Excellence in Regulatory Science and Innovation
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批准号:10610497
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项目类别:
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资助金额:$43.53万
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财政年份:2016
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负责人:RUSS BIAGIO ALTMAN
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依托单位:
UCSF-Stanford Center of Excellence in Regulatory Science
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批准号:10089673
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项目类别:
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资助金额:$4.76万
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财政年份:2016
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负责人:RUSS BIAGIO ALTMAN
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依托单位:
UCSF-Stanford Center of Excellence in Regulatory Science
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批准号:9306720
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项目类别:
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资助金额:$231.38万
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财政年份:2016
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负责人:RUSS BIAGIO ALTMAN
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依托单位:
UCSF-Stanford Center of Excellence in Regulatory Science
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批准号:10398365
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项目类别:
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资助金额:$28.01万
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财政年份:2016
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负责人:RUSS BIAGIO ALTMAN
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依托单位:
UCSF-Stanford Center of Excellence in Regulatory Science
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批准号:9762577
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项目类别:
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资助金额:$364.01万
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财政年份:2016
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负责人:RUSS BIAGIO ALTMAN
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依托单位:
UCSF-Stanford Center of Excellence in Regulatory Science and Innovation
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批准号:10584698
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项目类别:
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资助金额:$15.56万
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财政年份:2016
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负责人:RUSS BIAGIO ALTMAN
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依托单位:
UCSF-Stanford Center of Excellence in Regulatory Science and Innovation
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批准号:10409389
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项目类别:
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资助金额:$635.89万
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财政年份:2016
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负责人:RUSS BIAGIO ALTMAN
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依托单位:
UCSF-Stanford Center of Excellence in Regulatory Science
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批准号:10174158
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项目类别:
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资助金额:$38.11万
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财政年份:2016
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负责人:RUSS BIAGIO ALTMAN
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依托单位:
UCSF-Stanford Center of Excellence in Regulatory Science
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批准号:10119341
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项目类别:
-
资助金额:$28.01万
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财政年份:2016
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负责人:RUSS BIAGIO ALTMAN
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依托单位:
Biomedical Data Science Graduate Training at Stanford
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批准号:9117248
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项目类别:
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资助金额:$29.58万
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财政年份:2016
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负责人:RUSS BIAGIO ALTMAN
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依托单位:
UCSF-Stanford Center of Excellence in Regulatory Science and Innovation
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批准号:10470196
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项目类别:
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资助金额:$498.6万
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财政年份:2016
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负责人:RUSS BIAGIO ALTMAN
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依托单位:
Biomedical Data Science Graduate Training at Stanford
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批准号:9248421
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项目类别:
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资助金额:$29.88万
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财政年份:2016
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负责人:RUSS BIAGIO ALTMAN
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依托单位:
UCSF-Stanford Center of Excellence in Regulatory Science and Innovation
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批准号:10616050
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项目类别:
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资助金额:$58.0万
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财政年份:2016
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负责人:RUSS BIAGIO ALTMAN
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依托单位:
海外基金