Artificial intelligence reveals undiscovered bat carriers of Ebola and other filoviruses

Artificial intelligence reveals undiscovered bat carriers of Ebola and other filoviruses

IMAGE: This is a map of known and predicted bat hosts of filoviruses, showing hotspots in Southeast Asia. view more Credit: PLOS Neglected Tropical Diseases by Han et al. from the Cary Institute of Ecosystem Studies (Millbrook, NY) A team of scientists has developed a model that can predict bat species most likely to transmit Ebola and other filoviruses. Findings highlight new potential hosts and geographic hotspots worthy of surveillance. So reports a new paper in the journal PLoS Neglected Tropical Diseases. Filoviruses have devastating effects on people and primates, as evidenced by the 2014 Ebola outbreak in West Africa. For nearly 40 years, preventing spillover events has been hampered by an inability to pinpoint which wildlife species harbor and spread the viruses. To date, outbreaks have occurred in areas with…


Link to Full Article: Artificial intelligence reveals undiscovered bat carriers of Ebola and other filoviruses