Plant phenology supports the multi-emergence hypothesis for ebola spillover events

Wollenberg Valero, Katharina C.; Douglas, Noah E.; Isokpehi, Raphael D.; Johnson, Brianna; McGill, Ayana; Sivasundaram, Seenith; Wootson, Kiara

Abstract

Ebola virus disease outbreaks in animals (including humans and great apes) start with sporadic host switches from unknown reservoir species. The factors leading to such spillover events are little explored. Filoviridae viruses have a wide range of natural hosts and are unstable once outside hosts. Spillover events, which involve the physical transfer of viral particles across species, could therefore be directly promoted by conditions of host ecology and environment. In this report we outline a proof of concept that temporal fluctuations of a set of ecological and environmental variables describing the dynamics of the host ecosystem are able to predict such events of Ebola virus spillover to humans and animals. We compiled a dataset of climate and plant phenology variables and Ebola virus disease spillovers in humans and animals. We identified critical biotic and abiotic conditions for spillovers via multiple regression and neural networks based time series regression. Phenology variables proved to be overall better predictors than climate variables. African phenology variables are not yet available as a comprehensive online resource. Given the likely importance of phenology for forecasting the likelihood of future Ebola spillover events, our results highlight the need for cost-effective transect surveys to supply phenology data for predictive modelling efforts.

Citation

Wollenberg Valero, K. C., Douglas, N. E., Isokpehi, R. D., Johnson, B., McGill, A., Sivasundaram, S., & Wootson, K. (2018). Plant phenology supports the multi-emergence hypothesis for ebola spillover events. EcoHealth, 15(3), 497–508. https://doi.org/10.1007/s10393-017-1288-z

• Journal Article Type: Article
• Acceptance Date: Oct 29, 2017
• Online Publication Date: Nov 13, 2017
• Publication Date: 2018-09
• Deposit Date: Nov 1, 2017
• Publicly Available Date: Dec 12, 2017
• Journal: EcoHealth
• Print ISSN: 1612-9202
• Electronic ISSN: 1612-9210
• Publisher: Springer Verlag
• Peer Reviewed: Peer Reviewed
• Volume: 15
• Issue: 3
• Pages: 497–508
• DOI: https://doi.org/10.1007/s10393-017-1288-z
• Keywords: Emerging infectious disease, Phenology, Normalized difference vegetation index, Climate, Cimate change, Spillover
• Public URL: https://hull-repository.worktribe.com/output/456183
• Publisher URL: https://link.springer.com/article/10.1007/s10393-017-1288-z
• Additional Information: This is a description of an article which has been accepted for future publication in: EcoHealth. The article itself is not yet available for consultation.