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GCRF- PPF 20 Forecasting Ebola Spillovers

People Involved

Project Description

Since the 1970s, the Ebola virus recurrently emerges from the Afrotropics. The 2014 epidemic alone
affected around 40,000 people and cost over $5bn. As viruses cannot survive outside their host species, the transfer
from species that naturally harbor it to other susceptible species via so-called spillover events might involve the host’s
ecosystem. Consequently, properties of the ecosystem could be used to predict future spillovers. In 2017, we
provided a proof of concept for the idea that phenology characteristics such as flowering can be used for predicting
Ebola spillover events, which represents a cost-effective way to locally monitor conditions favourable for spillovers.
However, phenology monitoring is underdeveloped in West and Central Africa. Here, we will extend the phenology
model with more ubiquitously available pollen data, and scope the implementation of a forecasting system based on
pollen count in Lagos, Nigeria, a large city affected by the 2014 Ebola epidemic.

Status Project Complete
Funder(s) 00 University of Hull
Value £19,157.00
Project Dates Feb 1, 2018 - Jul 31, 2018
Partner Organisations University of Lagos
Cross River State Forestry Commission
Bethune-Cookman University

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