Corpus ID: 237532667

Mobility Data Analysis and Applications: A mid-year 2021 Survey

  title={Mobility Data Analysis and Applications: A mid-year 2021 Survey},
  author={Abhishek Singh and Alok Mathur and Alka Asthana and Julia M Maina and Jade Nester and Sai Sri Sathya and Santanu Bhattacharya and Vidyadhar Phalke},
In this work we review recent works analyzing mobility data and its application in understanding the epidemic dynamics for the COVID-19 pandemic and more. We also discuss privacy preserving solutions to analyze the mobility data in order to expand its reach towards a wider population. 


Country-wide Mobility Changes Observed Using Mobile Phone Data During COVID-19 Pandemic
This research indicates that mobile phone usage data permits the moment-by-moment quantification of mobility behavior for a whole country, and emphasizes the need to improve the availability of such data in anonymized form to empower rapid response to combat COVID-19 and future pandemics. Expand
Association between mobility patterns and COVID-19 transmission in the USA: a mathematical modelling study
A role of social distancing as an effective way to mitigate COVID-19 transmission in the USA is strongly supported, and behavioural changes were already underway in many US counties days to weeks before state-level or local-level stay-at-home policies were implemented, implying that individuals anticipated public health directives where social Distancing was adopted. Expand
The impact of COVID-19 on relative changes in aggregated mobility using mobile-phone data
It is seen that the elderly population groups increase relative mobility and that the younger groups especially on weekends also do not decrease their mobility as much as the others. Expand
Effects of human mobility restrictions on the spread of COVID-19 in Shenzhen, China: a modelling study using mobile phone data
Summary Background Restricting human mobility is an effective strategy used to control disease spread. However, whether mobilityExpand
Effects of the COVID-19 Pandemic on Population Mobility under Mild Policies: Causal Evidence from Sweden
Sweden has adopted far less restrictive social distancing policies than most countries following the COVID-19 pandemic. This paper uses data on all mobile phone users, from one major Swedish mobileExpand
Anonymised and aggregated crowd level mobility data from mobile phones suggests that initial compliance with COVID-19 social distancing interventions was high and geographically consistent across the UK
Two mobile phone-based datasets are used to assess changes in average mobility, both overall and broken down into high and low population density areas, and changes in the distribution of journey lengths to inform policy towards the future control of SARS-CoV-2 in the UK. Expand
Cell phone mobility data and manifold learning: Insights into population behavior during the COVID-19 pandemic
As COVID-19 cases resurge in the United States, understanding the complex interplay between human behavior, disease transmission, and non-pharmaceutical interventions during the pandemic couldExpand
Population flow drives spatio-temporal distribution of COVID-19 in China
Modelling of population flows in China enables the forecasting of the distribution of confirmed cases of COVID-19 and the identification of areas at high risk of SARS-CoV-2 transmission at an early stage. Expand
Unveiling hidden migration and mobility patterns in climate stressed regions: A longitudinal study of six million anonymous mobile phone users in Bangladesh
Climate change is likely to drive migration from environmentally stressed areas. However quantifying short and long-term movements across large areas is challenging due to difficulties in theExpand