Mobile Phone Network Data in the COVID-19 era: A systematic review of applications, socioeconomic factors affecting compliance to non-pharmaceutical interventions, privacy implications, and post-pandemic economic recovery strategies.

ABSTRACT:

Background

The use of traditional mobility datasets, such as travel surveys and census data, has significantly impacted various disciplines, including transportation, urban sensing, criminology, and healthcare. However, because these datasets represent only discrete instances of measurement, they miss continuous temporal shifts in human activities, failing to record the majority of human mobility patterns in real-time. Bolstered by the rapid expansion of telecommunication networks and the ubiquitous use of smartphones, mobile phone network data (MPND) played a pivotal role in fighting and controlling the spread of COVID-19.

Methods

We conduct an extensive review of the state-of-the-art and recent advancements in the application of MPND for analyzing the early and post-stages

SUBMITTER: Okmi M 

PROVIDER: S-EPMC12040144 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature