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research article

The geography of COVID-19 spread in Italy and implications for the relaxation of confinement measures

Bertuzzo, Enrico
•
Mari, Lorenzo
•
Pasetto, Damiano
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August 26, 2020
Nature Communications

The pressing need to restart socioeconomic activities locked-down to control the spread of SARS-CoV-2 in Italy must be coupled with effective methodologies to selectively relax containment measures. Here we employ a spatially explicit model, properly attentive to the role of inapparent infections, capable of: estimating the expected unfolding of the outbreak under continuous lockdown (baseline trajectory); assessing deviations from the baseline, should lockdown relaxations result in increased disease transmission; calculating the isolation effort required to prevent a resurgence of the outbreak. A 40% increase in effective transmission would yield a rebound of infections. A control effort capable of isolating daily similar to 5.5% of the exposed and highly infectious individuals proves necessary to maintain the epidemic curve onto the decreasing baseline trajectory. We finally provide an ex-post assessment based on the epidemiological data that became available after the initial analysis and estimate the actual disease transmission that occurred after weakening the lockdown.

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Type
research article
DOI
10.1038/s41467-020-18050-2
Web of Science ID

WOS:000567552400002

Author(s)
Bertuzzo, Enrico
Mari, Lorenzo
Pasetto, Damiano
Miccoli, Stefano
Casagrandi, Renato
Gatto, Marino
Rinaldo, Andrea  
Date Issued

2020-08-26

Publisher

Nature Research

Published in
Nature Communications
Volume

11

Issue

1

Article Number

4264

Subjects

Multidisciplinary Sciences

•

Science & Technology - Other Topics

Note

This is an Open Access article under the terms of the Creative Commons Attribution License

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
ECHO  
Available on Infoscience
September 24, 2020
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/171873
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