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Socioeconomic and environmental patterns behind H1N1 spreading in Sweden
András Bota1,2, Martin Holmberg3, Lauren Gardner4
1Integrated Science Lab, Department of Physics, Umeå University, 90187, Umeå, Sweden. andras.bota@ltu.se.
Scientific Reports
|November 19, 2021
Summary
This study used the Generalized Inverse Infection Method (GIIM) to analyze the 2009 A(H1N1) influenza outbreak in Sweden. Results show large population centers and climate significantly drive spread, while travel and socioeconomic factors have minimal impact.
Area of Science:
- Epidemiology
- Network Science
- Public Health
Background:
- Understanding influenza spread is vital for epidemic prediction and control.
- Identifying key risk factors like socioeconomic, mobility, and climate data is crucial for pinpointing outbreak drivers.
Purpose of the Study:
- To assess significant risk factors contributing to the 2009 A(H1N1) influenza outbreaks in Sweden.
- To analyze the relationship between epidemic onset and various risk indicators.
Main Methods:
- Utilized the Generalized Inverse Infection Method (GIIM) to model epidemic spread on a network.
- Nodes represented geographical areas, links represented travel routes, and transmission probabilities guided the infection process.
Main Results:
- Influenza outbreaks were primarily driven by major population centers and significantly influenced by meteorological factors.
- Socioeconomic and travel indicators demonstrated a negligible effect on disease spread.
Conclusions:
- The study successfully predicted subsequent influenza epidemic onsets with high accuracy after training the model on the 2009 outbreak.
- Findings highlight the importance of population density and climate in influenza transmission dynamics.
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