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Space-time personalized short message service (SMS) for infectious disease control – Policies for precise public health
12 references·3 citing·39 second hop
Space-time personalized short message service (SMS) for infectious disease control – Policies for precise public health (2019)Space-time personalized short message ser…Measuring mobility, disease connectivity and individual risk: a review of using mobile phone data and mHealth for travel medicine (2019)Measuring mobility, disease c…Population mobility reductions associated with travel restrictions during the Ebola epidemic in Sierra Leone: use of mobile phone data (2018)Population mobility reduction…Multinational patterns of seasonal asymmetry in human movement influence infectious disease dynamics (2017)Multinational patterns of sea…Assessing the use of mobile phone data to describe recurrent mobility patterns in spatial epidemic models (2017)Assessing the use of mobile p…Mobile phone data highlights the role of mass gatherings in the spreading of cholera outbreaks (2016)Mobile phone data highlights …Connecting Mobility to Infectious Diseases: The Promise and Limits of Mobile Phone Data (2016)Connecting Mobility to Infect…Another Tale of Two Cities: Understanding Human Activity Space Using Actively Tracked Cellphone Location Data (2016)Another Tale of Two Cities: U…A survey of results on mobile phone datasets analysis (2015)A survey of results on mobile…Dynamic population mapping using mobile phone data (2014)Dynamic population mapping us…Unravelling daily human mobility motifs (2013)Unravelling daily human mobil…Limits of Predictability in Human Mobility (2010)Limits of Predictability in H…Understanding individual human mobility patterns (2008)Understanding individual huma…The Study on Public-Interest Short Message Service (SMS) in China during the COVID-19 Pandemic: Mobile User Survey and Content Analysis (2021)The Study on Public-Interest …Revealing temporal stay patterns in human mobility using large‐scale mobile phone location data (2021)Revealing temporal stay patte…Spatial Accuracy Evaluation for Mobile Phone Location Data With Consideration of Geographical Context (2020)Spatial Accuracy Evaluation f…Reality mining: sensing complex social systems (2005)Origin–destination trips by purpose and time of day inferred from mobile phone data (2015)Returners and explorers dichotomy in human mobility (2015)The promises of big data and small data for travel behavior (aka human mobility) analysis (2016)The origin of bursts and heavy tails in human dynamics (2005)The scaling laws of human travel (2006)Friendship and mobility (2011)Computational Social Science (2009)Human development report 2015: work for human development (2015)Predicting poverty and wealth from mobile phone metadata (2015)The Strength of Weak Ties (1973)Power-Law Distributions in Empirical Data (2009)A multi-source dataset of urban life in the city of Milan and the Province of Trentino (2015)Activity-Based Human Mobility Patterns Inferred from Mobile Phone Data: A Case Study of Singapore (2016)Power-law distributions in empirical data (2018)The universal visitation law of human mobility (2021)WHAT ABOUT PEOPLE IN REGIONAL SCIENCE? (1970)Do different datasets tell the same story about urban mobility — A comparative study of public transit and taxi usage (2018)Understanding the Impacts of Human Mobility on Accessibility Using Massive Mobile Phone Tracking Data (2018)Does low income translate into lower mobility? An investigation of activity space in Hong Kong between 2002 and 2011 (2019)Improved Response to Disasters and Outbreaks by Tracking Population Movements with Mobile Phone Network Data: A Post-Earthquake Geospatial Study in Haiti (2011)A universal model for mobility and migration patterns (2012)Predictability of population displacement after the 2010 Haiti earthquake (2012)Big Data and Business Analytics: Trends, Platforms, Success Factors and Applications (2019)Measuring objective and subjective well-being: dimensions and data sources (2020)Mobile phone location data for disasters: A review from natural hazards and epidemics (2022)The impact of biases in mobile phone ownership on estimates of human mobility (2013)Computational socioeconomics (2019)A Review of Human Mobility Research Based on Big Data and Its Implication for Smart City Development (2020)Escaping from Cities during the COVID-19 Crisis: Using Mobile Phone Data to Trace Mobility in Finland (2021)Forms of religious tourism (1992)Accessibility based on Gravity-Radiation model and Google Maps API: A case study in Australia (2018)Measuring mobility to monitor travel and physical distancing interventions: a common framework for mobile phone data analysis (2020)Automatic Time Series Forecasting: The forecast Package for R (2008)Applied Spatial Data Analysis with R (2013)Is Lockdown Bad for Social Anxiety in COVID-19 Regions?: A National Study in The SOR Perspective (2020)Role of Transport during Outbreak of Infectious Diseases: Evidence from the Past (2020)Exploring the travel behavior changes caused by the COVID-19 crisis: A case study for a developing country (2021)Modelling the scaling properties of human mobility (2010)
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References

  • 2008Understanding individual human mobility patterns6,071 cited
  • 2010Limits of Predictability in Human Mobility3,230 cited
  • 2014Dynamic population mapping using mobile phone data908 cited
  • 2015A survey of results on mobile phone datasets analysis652 cited
  • 2013Unravelling daily human mobility motifs584 cited
  • 2016Connecting Mobility to Infectious Diseases: The Promise and Limits of Mobile Phone Data212 cited
  • 2016Mobile phone data highlights the role of mass gatherings in the spreading of cholera outbreaks176 cited
  • 2018Population mobility reductions associated with travel restrictions during the Ebola epidemic in Sierra Leone: use of mobile phone data141 cited
  • 2016Another Tale of Two Cities: Understanding Human Activity Space Using Actively Tracked Cellphone Location Data121 cited
  • 2017Multinational patterns of seasonal asymmetry in human movement influence infectious disease dynamics109 cited
  • 2019Measuring mobility, disease connectivity and individual risk: a review of using mobile phone data and mHealth for travel medicine93 cited
  • 2017Assessing the use of mobile phone data to describe recurrent mobility patterns in spatial epidemic models70 cited

Cited by

  • 2021The Study on Public-Interest Short Message Service (SMS) in China during the COVID-19 Pandemic: Mobile User Survey and Content Analysis14 cited

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  • 2021Revealing temporal stay patterns in human mobility using large‐scale mobile phone location data13 cited
  • 2020Spatial Accuracy Evaluation for Mobile Phone Location Data With Consideration of Geographical Context8 cited