“Eva” was used by Greece at the borders to limit the influx of asymptomatic travelers infected with Sars-CoV-2 and to provide information on the prevalence of the virus
“Eva” (not an acronym) was the first artificial intelligence deployed with border health services. In the summer of 2020, Eva was used by Greece at the borders to limit the influx of asymptomatic travelers infected with Sars-CoV-2 and to provide information, through real-time estimates, of the prevalence of Covid-19. Rather than performing sweep tests, Eva drove the tests based on demographic information from arriving travelers and test results from previous travelers. Eva identified an average of 1.85 more asymptomatic travelers who were infected than the sample tests carried out on those who came from areas at risk, with a maximum of 2 to 4 times greater accuracy during pandemic peaks, almost double the number of infected people identified by sample tests. An accuracy greater than 1.25-1.45 was obtained (one third more) on the survey of asymptomatic infected travelers compared to the use of epidemiological data only from the areas of origin.
The publication in “Nature”
The work, published in the prestigious magazine Nature, shows that at the population level epidemiological metrics have a limited predictive value on the prevalence of Sars-CoV-2 among asymptomatic travelers. The work is a good example of the potential of artificial intelligence and machine learning tools integrated with the use of real-time data to safeguard public health.
* Coordinator of digital transformation ASL Frosinone, Lazio region
December 28, 2021 (change December 28, 2021 | 10:05)
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