1 / 15

Modeling the Cholera Outbreak in Haiti: a Multi-patch Disease Model

amber
Download Presentation

Modeling the Cholera Outbreak in Haiti: a Multi-patch Disease Model

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

    1. Modeling the Cholera Outbreak in Haiti: a Multi-patch Disease Model Leah Campbell Steve Fassino Kyle Frank Michael Kelly Shishi Luo Rachel Taylor

    2. Cholera Infection of the small intestine caused by bacterium Vibria cholerae Transmission is primarily through consumption of contaminated drinking water or food Person-to-person transmission very rare Estimated 3-5 million Cholera cases and 100,000 to 120,000 deaths due to Cholera per year

    4. SIWR Model

    5. Analytical approach

    6. Example: 3-patch hub system

    9. Parameter dependence

    10. Contribution to R0Haiti from I High betaI for satellites has larger impact on R0 compared to high BetaI for Ouest. The quantity of satellites with large infected rates outweighs the contribution of movement into Ouest.High betaI for satellites has larger impact on R0 compared to high BetaI for Ouest. The quantity of satellites with large infected rates outweighs the contribution of movement into Ouest.

    11. Small gamma=larger R0 Higher hub and low other satellites produces low R0 While lower hub and higher other satellites produces high R0Small gamma=larger R0 Higher hub and low other satellites produces low R0 While lower hub and higher other satellites produces high R0

    12. Disease dynamics

    15. Conclusion

    16. Thanks to: MBI-NIMBioS-CAMBAM Marisa Eisenberg Joe Tien

More Related