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

Health and Fitness

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

E. Bertuzzo, L. Mari, et al.

This research by Enrico Bertuzzo, Lorenzo Mari, Damiano Pasetto, Stefano Miccoli, Renato Casagrandi, Marino Gatto, and Andrea Rinaldo employs a spatially explicit model to dissect the nuances of COVID-19 transmission in Italy. It highlights the critical role of managing inapparent infections and the ramifications of lockdown relaxations, timing critical interventions to avert resurgence.

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~3 min • Beginner • English
Abstract
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 ~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.
Publisher
Nature Communications
Published On
Aug 26, 2020
Authors
Enrico Bertuzzo, Lorenzo Mari, Damiano Pasetto, Stefano Miccoli, Renato Casagrandi, Marino Gatto, Andrea Rinaldo
Tags
COVID-19
infection spread
lockdown relaxation
transmission dynamics
Italy
spatial modeling
epidemiology
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