Simulating the Spread of West Nile Virus Using Multi-Agent Geosimulation
Author Information
Author(s): Bouden Mondher, Moulin Bernard, Gosselin Pierre
Primary Institution: Laval University
Hypothesis
Can a multi-agent geosimulation approach effectively forecast the spread of West Nile virus and assist in public health decision-making?
Conclusion
The developed system can support decision-making for West Nile virus control by simulating infection spread under various climate scenarios.
Supporting Evidence
- The system allows users to visualize the progression of infection on a digital map.
- Calibration of the model was based on real-life data from public health monitoring.
- The approach can be adapted for other zoonotic diseases beyond West Nile virus.
Takeaway
This study created a computer program that helps predict how the West Nile virus spreads by simulating how mosquitoes and birds interact in different weather conditions.
Methodology
A multi-agent geosimulation system was developed to model the interactions of mosquito and bird populations in relation to West Nile virus spread, using climate data and larviciding scenarios.
Potential Biases
Potential biases may arise from the simplifications made in modeling species interactions and environmental factors.
Limitations
The model's accuracy is limited by the availability of field data and the complexity of estimating parameters related to mosquito and bird populations.
Participant Demographics
The study focuses on mosquito (Culex sp.) and bird (American crows) populations in southern Quebec, Canada.
Digital Object Identifier (DOI)
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