SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
How Mobility Patterns Drive Disease Spread: A Case Study Using Public Transit Passenger Card Travel Data
8 references·1 citing·33 second hop
How Mobility Patterns Drive Disease Spread: A Case Study Using Public Transit Passenger Card Travel Data (2019)How Mobility Patterns Drive Disease Sprea…Modeling of Human Movement Behavioral Knowledge from GPS Traces for Categorizing Mobile Users (2017)Modeling of Human Movement Be…Unveiling Spatial Epidemiology of HIV with Mobile Phone Data (2016)Unveiling Spatial Epidemiolog…Connecting Mobility to Infectious Diseases: The Promise and Limits of Mobile Phone Data (2016)Connecting Mobility to Infect…A deep dive into location-based communities in social discovery networks (2016)A deep dive into location-bas…Returners and explorers dichotomy in human mobility (2015)Returners and explorers dicho…Quantifying seasonal population fluxes driving rubella transmission dynamics using mobile phone data (2015)Quantifying seasonal populati…Using GPS Technology to Quantify Human Mobility, Dynamic Contacts and Infectious Disease Dynamics in a Resource-Poor Urban Environment (2013)Using GPS Technology to Quant…Understanding individual human mobility patterns (2008)Understanding individual huma…Profiling Residents’ Mobility with Grid-Aggregated Mobile Phone Trace Data Using Chengdu as the Case (2021)Profiling Residents’ Mobility…The origin of bursts and heavy tails in human dynamics (2005)The scaling laws of human travel (2006)A universal model for mobility and migration patterns (2012)Limits of Predictability in Human Mobility (2010)Assessing social anxiety using gps trajectories and point-of-interest data (2016)Using Google Location History data to quantify fine-scale human mobility (2018)Measuring spatio-temporal accessibility to emergency medical services through big GPS data (2019)The impact of biases in mobile phone ownership on estimates of human mobility (2013)Quantifying travel behavior for infectious disease research: a comparison of data from surveys and mobile phones (2014)Multinational patterns of seasonal asymmetry in human movement influence infectious disease dynamics (2017)Computational socioeconomics (2019)Measuring mobility to monitor travel and physical distancing interventions: a common framework for mobile phone data analysis (2020)Friendship and mobility (2011)Human mobility analysis based on social media and fuzzy clustering (2017)Accurate Location Prediction of Social-users using mHMM (2018)Predictability of population displacement after the 2010 Haiti earthquake (2012)Escaping from Cities during the COVID-19 Crisis: Using Mobile Phone Data to Trace Mobility in Finland (2021)Mining correlation between locations using human location history (2009)Understanding transportation modes based on GPS data for web applications (2010)StudentLife (2014)Generating synthetic mobility traffic using RNNs (2017)Exploring the association between mobility behaviours and academic performances of students: a context-aware traj-graph (CTG) analysis (2018)Modeling Individual's Movement Patterns to Infer Next Location from Sparse Trajectory Traces (2018)Stacked Regressions (1996)A survey of results on mobile phone datasets analysis (2015)Uncovering the Relationship between Human Connectivity Dynamics and Land Use (2020)Evaluating the Effect of the Financial Status to the Mobility Customs (2021)Using big data for evaluating development outcomes: A systematic map (2021)Modelling the scaling properties of human mobility (2010)Understanding individual mobility patterns from urban sensing data: A mobile phone trace example (2012)Activity-Based Human Mobility Patterns Inferred from Mobile Phone Data: A Case Study of Singapore (2016)Measuring objective and subjective well-being: dimensions and data sources (2020)The universal visitation law of human mobility (2021)
this work references cited by second hop

References

  • 2008Understanding individual human mobility patterns6,071 cited
  • 2015Returners and explorers dichotomy in human mobility491 cited
  • 2013Using GPS Technology to Quantify Human Mobility, Dynamic Contacts and Infectious Disease Dynamics in a Resource-Poor Urban Environment246 cited
  • 2016Connecting Mobility to Infectious Diseases: The Promise and Limits of Mobile Phone Data212 cited
  • 2015Quantifying seasonal population fluxes driving rubella transmission dynamics using mobile phone data137 cited
  • 2016Unveiling Spatial Epidemiology of HIV with Mobile Phone Data43 cited
  • 2017Modeling of Human Movement Behavioral Knowledge from GPS Traces for Categorizing Mobile Users23 cited
  • 2016A deep dive into location-based communities in social discovery networks20 cited

Cited by

  • 2021Profiling Residents’ Mobility with Grid-Aggregated Mobile Phone Trace Data Using Chengdu as the Case6 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work