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Complex networks, infectious diseases, data science || Science is what you understand well enough to explain to a computer [D.Knuth]

May 12, 2020, 7 tweets

In Italy, the lockdown was lifted one week ago. #Phase2 has started. In our fourth report, we present the results of the analysis of @Cuebiq mobility data in the past week: covid19mm.github.io/in-progress/20… w/ @laetitiagvn @ciro @social_pepe P.Bajardi @ISI_Fondazione

Overall, average mobility and proximity metrics have reached levels similar to those that were observed at the beginning of the week of March 9-15, which is immediately after the first nationwide stay-at-home order was issued (March 8).

Users’ movements between different provinces are now at -48%, on average, with respect to the baseline. The increase in mobility has mainly occurred between provinces within the same regions. In the lockdown, the largest average reduction observed was -71% at the national level.

The median radius of gyration has increased in all provinces. On average, the radius of gyration (rog) has reached levels that are -73% below baseline. During the lockdown, the largest average reduction observed was -91%.

The average degree of the proximity network has reached levels equal to -40% with respect to the baseline, increasing faster than the rog, and suggesting that lifting the lockdown has led to an increase in short-range mobility rather than in long-range mobility.

We will continue to monitor mobility patterns as we move into the next steps and more restrictions will be lifted. Meanwhile, thanks to @Cuebiq @FondazioneCRT for continuous support.

Correct link to the report: covid19mm.github.io/in-progress/20…

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