Table 2 Epidemiologically-relevant behaviors captured in mobile phone data.
From: The use of mobile phone data to inform analysis of COVID-19 pandemic epidemiology
| Â | What is captured? | What is not captured? |
|---|---|---|
Spatially and temporally aggregated mobility (CDRs, GPS) | • Changes in population-level mobility and clustering behaviors in response to NPIs • Rates at which individuals move between locations • Potential transmission links between locations • Hourly or daily movements | • Changes in individual behavior, trajectories, or specific routes • Differences in how individuals use their phone • Distinction between movement with high vs low risk of transmission • Transmission chains within locations |
Proximity networks (Bluetooth, contact tracing applications) | • Relationship between individual’s behavior and infection status • Fine-scale clustering and contact data | • Distinction between proximate individuals who are in direct contact or not in contact • Non-proximal interactions that may be involved in transmission |
