Date of Award
4-4-2019
Document Type
Honors Thesis
Department
Mathematics
First Advisor
Shandelle M. Henson
Abstract
White-nose syndrome (WNS), caused by the invasive fungal pathogen Pseudogymnoascus destructans, is a virulent disease that has plagued North American bat populations since 2006. Over the past decade WNS has rapidly spread throughout much of the Eastern and Mid western United States, leading to mass mortality and threatening regional extinction in a number of bat species. Thus, the need for development and implementation of effective control strategies has become increasingly exigent. While previous mathematical modelling studies have evaluated the efficacy of several proposed treatment methods, nothing is known about the impact of seasonal bat dispersal on such potential interventions. We investigate how spatial disease dynamics could affect the success of five promising WNS control strategies by posing and analysing a two-subpopulation mathematical model with migration. We demonstrate that the most effective management decisions must take interpopulation movement into account, and find that the effect of dispersal on control efficacy is mostly negative but depends on both the control combination and the primary mode of disease transmission.
Recommended Citation
Malakhov, Mykhaylo M., "Managing White-nose Syndrome in Bats: A Spatially Dynamic Modelling Approach" (2019). Honors Theses. 216.
https://dx.doi.org/10.32597/honors/216
https://digitalcommons.andrews.edu/honors/216
Subject Area
White-nose syndrome; Bats--Diseases; Pseudogymnoasus destructans
Creative Commons License
This work is licensed under a Creative Commons Attribution-No Derivative Works 4.0 International License.
DOI
https://dx.doi.org/10.32597/honors/216
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