Corpus ID: 219402090

The relationship between human mobility and viral transmissibility during the COVID-19 epidemics in Italy

@article{Cintia2020TheRB,
  title={The relationship between human mobility and viral transmissibility during the COVID-19 epidemics in Italy},
  author={Paolo Cintia and Daniele Fadda and Fosca Giannotti and Luca Pappalardo and Giulio Rossetti and Dino Pedreschi and Salvo Rinzivillo and Pietro Bonato and Francesco Fabbri and Francesco Penone and Marcello Savarese and Daniele Checchi and Francesca Chiaromonte and Paolo Vineis and Giorgio Guzzetta and Flavia Riccardo and Valentina Marziano and Piero Poletti and Filippo Trentini and Antonino Bella and X. Andrianou and Martina Del Manso and Massimo Fabiani and Stefania Bellino and Stefano Boros and Alberto Mateo Urdiales and Maria Fenicia Vescio and Silvio Brusaferro and Giovanni Rezza and Patrizio Pezzotti and Marco Ajelli and Stefano Merler},
  journal={ArXiv},
  year={2020},
  volume={abs/2006.03141}
}
We describe in this report our studies to understand the relationship between human mobility and the spreading of COVID-19, as an aid to manage the restart of the social and economic activities after the lockdown and monitor the epidemics in the coming weeks and months. We compare the evolution (from January to May 2020) of the daily mobility flows in Italy, measured by means of nation-wide mobile phone data, and the evolution of transmissibility, measured by the net reproduction number, i.e… Expand
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References

SHOWING 1-10 OF 20 REFERENCES
Epidemiological characteristics of COVID-19 cases in Italy and estimates of the reproductive numbers one month into the epidemic
TLDR
The COVID-19 infection in Italy emerged with a clustering onset similar to the one described in Wuhan, China and likewise showed worse outcomes in older males with comorbidities, supporting the importance of combined non-pharmacological control measures. Expand
Mobile phone data analytics against the COVID-19 epidemics in Italy: flow diversity and local job markets during the national lockdown
TLDR
This report uses mobile phone data to infer the movements of people between Italian provinces and municipalities, and analyzes the incoming, outcoming and internal mobility flows before and during the national lockdown and after the closure of non-necessary productive and economic activities. Expand
Measurability of the epidemic reproduction number in data-driven contact networks
TLDR
It is found that the classical concept of the basic reproduction number is untenable in realistic populations, and it does not provide any conceptual understanding of the epidemic evolution, and evidence is provided that methodologies aimed at estimating the instantaneous reproduction number can operationally be used to characterize the correct epidemic dynamics from incidence data. Expand
Human mobility in response to COVID-19 in France, Italy and UK
TLDR
A framework to quantify the substantial impact of the mobility restrictions is provided and a percolation model mimicking mobility network disruption is introduced, finding that node persistence in the percolations process is significantly correlated with the economic and demographic characteristics of countries. Expand
A New Framework and Software to Estimate Time-Varying Reproduction Numbers During Epidemics
TLDR
This tool produces novel, statistically robust analytical estimates of R that incorporates uncertainty in the distribution of the serial interval and should help epidemiologists quantify temporal changes in the transmission intensity of future epidemics by using surveillance data. Expand
Early Transmission Dynamics in Wuhan, China, of Novel Coronavirus–Infected Pneumonia
TLDR
There is evidence that human-to-human transmission has occurred among close contacts since the middle of December 2019 and considerable efforts to reduce transmission will be required to control outbreaks if similar dynamics apply elsewhere. Expand
Estimating clinical severity of COVID-19 from the transmission dynamics in Wuhan, China
TLDR
An estimation of the clinical severity of COVID-19, based on the data available so far, can help to inform the public health response during the ongoing SARS-CoV-2 pandemic. Expand
Serial interval of novel coronavirus (COVID-19) infections
TLDR
The serial interval of COVID-19 is close to or shorter than its median incubation period, indicating that a substantial proportion of secondary transmission may occur prior to illness onset and that calculations made using the SARS serial interval may introduce bias. Expand
Mobile phone data and COVID-19: Missing an opportunity?
This paper describes how mobile phone data can guide government and public health authorities in determining the best course of action to control the COVID-19 pandemic and in assessing theExpand
Aggregated mobility data could help fight COVID-19
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