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Detalle de: Modeling the Ebola zoonotic dynamics: Interplay between enviroclimatic factors and bat ecology

Title Modeling the Ebola zoonotic dynamics: Interplay between enviroclimatic factors and bat ecology
Abstract

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.

Apa Reference Buceta, J., & Johnson, K. (2017). Modeling the Ebola zoonotic dynamics: Interplay between enviroclimatic factors and bat ecology. PLOS ONE, 12(6), e0179559. 10.1371/journal.pone.0179559
Doi 10.1371/journal.pone.0179559
Publication Date 12 Jun 2017
Publication Type Article
Researcher Javier Buceta
Ontology Computational models and simulations, Behavioral Ecology, Animal health
Research Groups TheSiMBioSys (Theoretical and In Silico Modeling of Biological Systems)
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