Modeling the Ebola zoonotic dynamics: Interplay between enviroclimatic factors and bat ecology
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| Natura: | Recurso digital |
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2017
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| _version_ | 1866901710625046528 |
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| author | Buceta, Javier Johnson, Kaylynn |
| author_facet | Buceta, Javier Johnson, Kaylynn |
| contents | (Uploaded by Plazi for the Bat Literature Project) Understanding Ebola necessarily requires the characterization of the ecology of its main enzootic reservoir, i.e. bats, and its interplay with seasonal and enviroclimatic factors. Here we present a SIR compartmental model where we implement a bidirectional coupling between the available resources and the dynamics of the bat population in order to understand their migration patterns. Our compartmental modeling approach and simulations include transport terms to account for bats mobility and spatiotemporal climate variability. We hypothesize that environmental pressure is the main driving force for bats' migration and our results reveal the appearance of sustained migratory waves of Ebola virus infected bats coupled to resources availability. Ultimately, our study can be relevant to predict hot spots of Ebola outbreaks in space and time and suggest conservation policies to mitigate the risk of spillovers. |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_14822540 |
| institution | Zenodo |
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| publishDate | 2017 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Modeling the Ebola zoonotic dynamics: Interplay between enviroclimatic factors and bat ecology Buceta, Javier Johnson, Kaylynn Algorithms Animal Migration Animal behavior Animal migration Animals Carrying capacity Chiroptera Climate Computer Simulation Ebola virus Ebolavirus Ecological niches Environment Hemorrhagic Fever, Ebola Humans Models, Theoretical Population dynamics Seasons Spatio-Temporal Analysis Theoretical ecology Zoonoses Biodiversity Mammalia Chiroptera Chordata Animalia bats bat (Uploaded by Plazi for the Bat Literature Project) Understanding Ebola necessarily requires the characterization of the ecology of its main enzootic reservoir, i.e. bats, and its interplay with seasonal and enviroclimatic factors. Here we present a SIR compartmental model where we implement a bidirectional coupling between the available resources and the dynamics of the bat population in order to understand their migration patterns. Our compartmental modeling approach and simulations include transport terms to account for bats mobility and spatiotemporal climate variability. We hypothesize that environmental pressure is the main driving force for bats' migration and our results reveal the appearance of sustained migratory waves of Ebola virus infected bats coupled to resources availability. Ultimately, our study can be relevant to predict hot spots of Ebola outbreaks in space and time and suggest conservation policies to mitigate the risk of spillovers. |
| title | Modeling the Ebola zoonotic dynamics: Interplay between enviroclimatic factors and bat ecology |
| topic | Algorithms Animal Migration Animal behavior Animal migration Animals Carrying capacity Chiroptera Climate Computer Simulation Ebola virus Ebolavirus Ecological niches Environment Hemorrhagic Fever, Ebola Humans Models, Theoretical Population dynamics Seasons Spatio-Temporal Analysis Theoretical ecology Zoonoses Biodiversity Mammalia Chiroptera Chordata Animalia bats bat |
| url | https://doi.org/10.5281/zenodo.14822540 |