How Cone Health is using Facebook data to predict future COVID-19 cases 

Socialization data collected in July nearly showed North Carolinas most significant one-day spike, according to the report. Social interactions based on phone records peaked at 3.2 on July 2, compared to 1.4 interactions during the lockdown; sixteen days after the peak of social interactions, North Carolina tape-recorded the highest number of reported cases to date.

Jackie Drees –
Wednesday, August 26th, 2020
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Cone Health is also using automatic contact tracing to support case forecasts. The method tracks GPS signals on cell phones to see when two people come across each other for more than 5 minutes. The information from the interactions can then be extended to help scientists predict future cases in a specific city or area.

Cone Health is likewise utilizing automated contact tracing to support case forecasts. The method tracks GPS signals on cell phones to see when two people experience each other for more than 5 minutes. The information from the interactions can then be extended to help scientists forecast future cases in a particular city or region.

Greensboro, N.C.-based Cone Health is gathering data from numerous resources including Facebook to much better monitor North Carolinians social interactions and forecast future COVID-19 cases throughout the state, according to CBS affiliate WFMY.

” We use the information to much better comprehend how (people) move, the socializing data allows us to do what we call nowcasting,” Mr. Pro told the network, adding that the information has been really precise which Cone Health typically shares it with North Carolinas state and regional health departments if they are able to identify future clusters.

Led by Cone Healths Chief Data and Analytics Officer Richard Pro, the health systems information science group is using the Facebook socializing data to much better forecast patterns and possible case outbreaks in North Carolina weeks ahead..

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