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A sub-national analysis of the rate of transmission of COVID-19 in Italy

Authors :
Neil M. Ferguson
Marc Baguelin
Lorenzo Cattarino
Giovanni Charles
Harrison Zhu
Haowei Wang
Axel Gandy
Oliver Ratmann
Samir Bhatt
Caroline E. Walters
Oliver J Watson
Michael Pickles
Valerie C. Bradley
Andria Mousa
C. R. Whittaker
Thomas A. Mellan
Kylie E. C. Ainslie
Michaela A. C. Vollmer
Lilith K Whittles
Tara D. Mangal
Bimandra A Djaafara
K. J. Fraser
Patrick G T Walker
Daniel J Laydon
Michael Hutchinson
Natsuko Imai
Christl A. Donnelly
H. Juliette T. Unwin
Kris V Parag
Richard G. FitzJohn
Gemma Nedjati-Gilani
Jeff Eaton
Seth Flaxman
Sangeeta N. Bhatia
W Green
Ilaria Dorigatti
Azra A M Ghani
Steven Riley
Iwona Hawryluk
Katy A. M. Gaythorpe
Zulma M. Cucunubá
Lucy C Okell
Xiaoyue Xi
Amy Dighe
Nicholas F Brazeau
Sabine L van Elsland
Lucia Cilloni
A Boonyasiri
Pierre Nouvellet
Hayley A Thompson
Swapnil Mishra
Sarah Hayes
Constance Ciavarella
John A. Lees
Daniela Olivera
Laura V Cooper
Ben Jeffrey
Gina Cuomo-Dannenburg
Edward Knock
Helen Coupland
Melodie Monod
Y Wang
Robert Verity
Publication Year :
2020
Publisher :
Cold Spring Harbor Laboratory, 2020.

Abstract

Summary Italy was the first European country to experience sustained local transmission of COVID-19. As of 1st May 2020, the Italian health authorities reported 28,238 deaths nationally. To control the epidemic, the Italian government implemented a suite of non-pharmaceutical interventions (NPIs), including school and university closures, social distancing and full lockdown involving banning of public gatherings and non essential movement. In this report, we model the effect of NPIs on transmission using data on average mobility. We estimate that the average reproduction number (a measure of transmission intensity) is currently below one for all Italian regions, and significantly so for the majority of the regions. Despite the large number of deaths, the proportion of population that has been infected by SARS-CoV-2 (the attack rate) is far from the herd immunity threshold in all Italian regions, with the highest attack rate observed in Lombardy (13.18% [10.66%-16.70%]). Italy is set to relax the currently implemented NPIs from 4th May 2020. Given the control achieved by NPIs, we consider three scenarios for the next 8 weeks: a scenario in which mobility remains the same as during the lockdown, a scenario in which mobility returns to pre-lockdown levels by 20%, and a scenario in which mobility returns to pre-lockdown levels by 40%. The scenarios explored assume that mobility is scaled evenly across all dimensions, that behaviour stays the same as before NPIs were implemented, that no pharmaceutical interventions are introduced, and it does not include transmission reduction from contact tracing, testing and the isolation of confirmed or suspected cases. New interventions, such as enhanced testing and contact tracing are going to be introduced and will likely contribute to reductions in transmission; therefore our estimates should be viewed as pessimistic projections. We find that, in the absence of additional interventions, even a 20% return to pre-lockdown mobility could lead to a resurgence in the number of deaths far greater than experienced in the current wave in several regions. Future increases in the number of deaths will lag behind the increase in transmission intensity and so a second wave will not be immediately apparent from just monitoring of the daily number of deaths. Our results suggest that SARS-CoV-2 transmission as well as mobility should be closely monitored in the next weeks and months. To compensate for the increase in mobility that will occur due to the relaxation of the currently implemented NPIs, adherence to the recommended social distancing measures alongside enhanced community surveillance including swab testing, contact tracing and the early isolation of infections are of paramount importance to reduce the risk of resurgence in transmission. SUGGESTED CITATION Michaela A. C. Vollmer, Swapnil Mishra, H Juliette T Unwin, Axel Gandy et al. Using mobility to estimate the transmission intensity of COVID-19 in Italy: a subnational analysis with future scenarios. Imperial College London (2020) doi:https://doi.org/10.25561/78677 This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Details

Language :
English
Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....529e4582c2e6f1a7406d3d70e68607e3
Full Text :
https://doi.org/10.1101/2020.05.05.20089359