An AI Hunts the Wild Animals Carrying Ebola
the_newsbeagle writes: Outbreaks of infectious diseases like Ebola follow a depressing pattern: People start to get sick, public health authorities get wind of the situation, and an all-out scramble begins to determine where the disease started and how it's spreading. Barbara Han, a code-writing ecologist, hopes her algorithms will put an end to that reactive model. She wants to predict outbreaks and enable authorities to prevent the next pandemic. Han takes a big-data approach, using a machine-learning AI to identify the wild animal species that carry zoonotic diseases and transmit them to humans.
FTFA:
Yeah, nothing to indicate this approach might work in identifying likely reservoir hosts, and also tracking conditions where a disease outbreak is more likely.
Perhaps you should have read the WHOLE article, and not just the first paragraph or two?
Ebola gets a lot of attention because it's high-mortality, spreads fast in the right conditions, and is a wonderfully messy way to die - and that means lots of newspaper sales and TV ratings.
It's the influenzas you have to look out for. People don't pay attention any more after the bird flu and swine flu fizzled out without producing the pandemic everyone was fearing - and perhaps the next one will do likewise. Eventually, though, we'll get another really nasty strain and it'll be 1918 all over again. Fifty million dead last time - people forgot quickly.
Ask most people today about the 1918 pandemic and most wouldn't know about it - and of those that do know, half of it only know it from a passing mention in Twilight.