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Human mobility data and machine learning reveal geographic differences in alcohol sales and alcohol outlet visits across U.S. states during COVID-19
10 references·4 citing·51 second hop
Human mobility data and machine learning reveal geographic differences in alcohol sales and alcohol outlet visits across U.S. states during COVID-19 (2021)Human mobility data and machine learning …Measuring Movement and Social Contact with Smartphone Data: A Real-Time Application to COVID-19 (2020)Measuring Movement and Social…Mapping county-level mobility pattern changes in the United States in response to COVID-19 (2020)Mapping county-level mobility…Impact of COVID-19 pandemic on mental health in the general population: A systematic review (2020)Impact of COVID-19 pandemic o…Drinking to cope with the pandemic: The unique associations of COVID-19-related perceived threat and psychological distress to drinking behaviors in American men and women (2020)Drinking to cope with the pan…Extracting urban functional regions from points of interest and human activities on location‐based social networks (2017)Extracting urban functional r…Thirty years of research show alcohol to be a cause of intimate partner violence: Future research needs to identify who to treat and how to treat them (2016)Thirty years of research show…POI Pulse: A Multi-granular, Semantic Signature–Based Information Observatory for the Interactive Visualization of Big Geosocial Data (2015)POI Pulse: A Multi-granular, …Limits of Predictability in Commuting Flows in the Absence of Data for Calibration (2014)Limits of Predictability in C…Limits of Predictability in Commuting Flows in the Absence of Data for Calibration (2014)Limits of Predictability in C…Forecasting principles and practiceForecasting principles and pr…Customer Shopping Behavior and the Persistence of Revenues and Earnings (2024)Customer Shopping Behavior an…Market entry opportunities for Pannon Wine Region (2022)Market entry opportunities fo…Deriving neighborhood-level diet and physical activity measurements from anonymized mobile phone location data for enhancing obesity estimation (2022)Deriving neighborhood-level d…The role of alcohol outlet visits derived from mobile phone location data in enhancing domestic violence prediction at the neighborhood level (2021)The role of alcohol outlet vi…The Fourth Paradigm: Data-Intensive Scientific Discovery (2009)Mapping the global Twitter heartbeat: The geography of Twitter (2013)A data-synthesis-driven method for detecting and extracting vague cognitive regions (2017)Extracting human emotions at different places based on facial expressions and spatial clustering analysis (2019)Uncovering inconspicuous places using social media check-ins and street view images (2020)The Livehoods Project: Utilizing Social Media to Understand the Dynamics of a City (2021)Understanding individual human mobility patterns (2008)Limits of Predictability in Human Mobility (2010)A universal model for mobility and migration patterns (2012)Evaluating Spatial Interaction Models for Regional Mobility in Sub-Saharan Africa (2015)Field theory for recurrent mobility (2019)Trip distribution modeling with Twitter data (2019)Intimate partner physical abuse perpetration and victimization risk factors: A meta-analytic review (2003)Alcohol and intimate partner violence: A meta-analytic review (2008)What factors are associated with recent intimate partner violence? 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References

  • 2020Impact of COVID-19 pandemic on mental health in the general population: A systematic review5,198 cited
  • n.d.Forecasting principles and practice4,364 cited
  • 2017Extracting urban functional regions from points of interest and human activities on location‐based social networks470 cited
  • 2020Drinking to cope with the pandemic: The unique associations of COVID-19-related perceived threat and psychological distress to drinking behaviors in American men and women411 cited
  • 2020Mapping county-level mobility pattern changes in the United States in response to COVID-19226 cited
  • 2016Thirty years of research show alcohol to be a cause of intimate partner violence: Future research needs to identify who to treat and how to treat them213 cited
  • 2015POI Pulse: A Multi-granular, Semantic Signature–Based Information Observatory for the Interactive Visualization of Big Geosocial Data112 cited
  • 2014Limits of Predictability in Commuting Flows in the Absence of Data for Calibration101 cited
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  • 2020Measuring Movement and Social Contact with Smartphone Data: A Real-Time Application to COVID-1950 cited

Cited by

  • 2021The role of alcohol outlet visits derived from mobile phone location data in enhancing domestic violence prediction at the neighborhood level28 cited
  • 2024Customer Shopping Behavior and the Persistence of Revenues and Earnings23 cited

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2022
Deriving neighborhood-level diet and physical activity measurements from anonymized mobile phone location data for enhancing obesity estimation
20 cited
  • 2022Market entry opportunities for Pannon Wine Region0 cited