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Detecting a trend change in cross-border epidemic transmission
1Social Design Group, Japan.
Physica A
|April 15, 2020
Summary
A new method using Langevin equations detects epidemic trend changes. Public health alerts effectively managed SARS travelers, but not flu travelers.
Area of Science:
- Epidemiology
- Mathematical Modeling
- Public Health
Background:
- Cross-border epidemic transmission poses significant public health challenges.
- Understanding travel behavior changes during outbreaks is crucial for control.
Purpose of the Study:
- To develop a novel method for detecting trend changes in cross-border epidemic transmission.
- To assess the impact of public health interventions on international travel during epidemics.
Main Methods:
- A system of Langevin equations was developed, integrating a SIR compartment model and a meta-population network model.
- Time series analysis of new case data from multiple regions was employed.
- The method specifically analyzes changes in the probability of travel movements.
Main Results:
- A significant change point in travel movement probability was detected one week after the WHO SARS alert in 2003, indicating intervention effectiveness.
- No change in travel movement probability was observed during the 2009 flu pandemic, despite a WHO alert.
Conclusions:
- The developed method effectively identifies shifts in epidemic transmission dynamics.
- Public health alerts can successfully influence travel behavior, as demonstrated during the SARS outbreak.
- The 2009 flu pandemic's impact on traveler behavior was minimal, suggesting different public response patterns.
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