Understanding human mobility patterns under a public health emergency.

Area of Science:

• Epidemiology
• Mobility Studies
• Public Health

Background:

• Understanding human mobility during epidemics is vital for disease spread prediction and intervention planning.
• Fine-scale mobility dynamics during outbreaks remain challenging to capture.
• The 2022 SARS-CoV-2 Omicron BA.2 outbreak in Shanghai provides a critical case study.

Purpose of the Study:

• To analyze high-resolution human mobility patterns during the SARS-CoV-2 Omicron BA.2 outbreak in Shanghai.
• To investigate mobility shifts across distinct epidemic phases and demographic groups.
• To evaluate the performance of gravity and radiation spatial interaction models in explaining mobility patterns.

Main Methods:

• Utilized large-scale anonymized cellular signaling data for mobility analysis.
• Stratified mobility patterns by age, sex, and travel purpose across five epidemic phases.
• Conducted a comparative evaluation of eight spatial interaction models (four gravity, four radiation).

Main Results:

• Population size and distance were primary mobility drivers, with demographic and travel purpose variations.
• Lockdown significantly reduced mobility, especially for social trips and working-age individuals, increasing the effect of distance.
• Post-lockdown mobility recovered, but a persistent increase in the effect of distance indicated lasting behavioral changes.
• Spatial interaction models showed context-dependent performance across epidemic phases, subgroups, and travel purposes.

Conclusions:

• Integrating diverse mobility models is essential for a comprehensive understanding of population group behavior during epidemics.
• Findings enhance preparedness and response planning by detailing behavioral adaptations during health crises.
• The study advances knowledge on human mobility dynamics in response to public health emergencies.