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Impact of Later-Stages COVID-19 Response Measures on Spatiotemporal Mobile Service Usage
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Impact of Later-Stages COVID-19 Response Measures on Spatiotemporal Mobile Service Usage (2022)Impact of Later-Stages COVID-19 Response …A global database of COVID-19 vaccinations (2021)A global database of COVID-19…Evaluating the effect of demographic factors, socioeconomic factors, and risk aversion on mobility during the COVID-19 epidemic in France under lockdown: a population-based study (2020)Evaluating the effect of demo…Campus traffic and e-Learning during COVID-19 pandemic (2020)Campus traffic and e-Learning…A Characterization of the COVID-19 Pandemic Impact on a Mobile Network Operator Traffic (2020)A Characterization of the COV…A Tale of Ten Cities: Characterizing Signatures of Mobile Traffic in Urban Areas (2016)A Tale of Ten Cities: Charact…Estimating Origin-Destination Flows Using Mobile Phone Location Data (2011)Estimating Origin-Destination…A Theoretical Foundation for the Gravity Equation. (1979)Understanding individual human mobility patterns (2008)Real-Time Urban Monitoring Using Cell Phones: A Case Study in Rome (2010)Understanding individual mobility patterns from urban sensing data: A mobile phone trace example (2012)A new insight into land use classification based on aggregated mobile phone data (2014)Development of origin–destination matrices using mobile phone call data (2014)OpenStreetMap: User-Generated Street Maps (2008)Discovering regions of different functions in a city using human mobility and POIs (2012)Not All Apps Are Created Equal (2017)Estimation of Static and Dynamic Urban Populations with Mobile Network Metadata (2018)TRANSIT: Fine-grained human mobility trajectory inference at scale with mobile network signaling data (2021)Limits of Predictability in Human Mobility (2010)Locked-in during lock-down (2021)Modeling international mobility using roaming cell phone traces during COVID-19 pandemic (2022)Pandemic in the digital age: analyzing WhatsApp communication behavior before, during, and after the COVID-19 lockdown (2022)Lockdowned: Everyday mobility changes in response to COVID-19 (2020)Mobile phone data for informing public health actions across the COVID-19 pandemic life cycle (2020)Multiscale dynamic human mobility flow dataset in the U.S. during the COVID-19 epidemic (2020)Mobility Behaviour in View of the Impact of the COVID-19 Pandemic—Public Transport Users in Gdansk Case Study (2021)COVID-19 vaccination intention in the UK: results from the COVID-19 vaccination acceptability study (CoVAccS), a nationally representative cross-sectional survey (2020)Factors Associated With US Adults’ Likelihood of Accepting COVID-19 Vaccination (2020)COVID-19 Vaccine Hesitancy—A Scoping Review of Literature in High-Income Countries (2021)Looking beyond COVID-19 vaccine phase 3 trials (2021)Revisiting COVID-19 vaccine hesitancy around the world using data from 23 countries in 2021 (2022)The impact of misinformation on the COVID-19 pandemic (2022)An Exploratory Study of the Obstacles for Achieving Quality in Distance Learning during the COVID-19 Pandemic (2020)E‐learning: Depression, anxiety, and stress symptomatology among Lebanese university students during COVID‐19 quarantine (2020)Evaluation online learning of undergraduate students under lockdown amidst COVID-19 Pandemic: The online learning experience and students’ satisfaction (2021)
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References

  • 2021A global database of COVID-19 vaccinations1,975 cited
  • 2020Campus traffic and e-Learning during COVID-19 pandemic618 cited
  • 2011Estimating Origin-Destination Flows Using Mobile Phone Location Data511 cited
  • 2020Evaluating the effect of demographic factors, socioeconomic factors, and risk aversion on mobility during the COVID-19 epidemic in France under lockdown: a population-based study366 cited
  • 2020A Characterization of the COVID-19 Pandemic Impact on a Mobile Network Operator Traffic106 cited
  • 2016A Tale of Ten Cities: Characterizing Signatures of Mobile Traffic in Urban Areas100 cited

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