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Global and local mobility as a barometer for COVID-19 dynamics
Kevin Linka1, Alain Goriely2, Ellen Kuhl1
1Mechanical Engineering, Stanford University, USA.
Medrxiv : the Preprint Server for Health Sciences
|August 21, 2020
Summary
Human mobility, including driving and air travel, is closely linked to infectious disease spread like COVID-19. Tracking local driving mobility can help forecast disease phases and reproduction numbers.
Area of Science:
- Epidemiology
- Public Health
- Data Science
Background:
- Infectious disease transmission, such as COVID-19, is heavily influenced by human interactions.
- Quantifying these interactions is challenging due to evolving behaviors and regulations.
- Mobility data offers a proxy for human activity and potential disease transmission pathways.
Conclusions:
- Local driving mobility serves as a quantitative metric for understanding and forecasting COVID-19 spread.
- Mobility data can identify pandemic stages where transmission dynamics shift.
- Mobility serves as a valuable indicator for public health interventions and pandemic response.
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