Lockdown timing and efficacy in controlling COVID-19 using mobile phone tracking

Autor: Marco Vinceti, Tommaso Filippini, Kenneth J. Rothman, Fabrizio Ferrari, Alessia Goffi, Giuseppe Maffeis, Nicola Orsini

Publikováno v: EClinicalMedicine, Vol 25, Iss , Pp 100457- (2020)

Background: Italy's severe COVID-19 outbreak was addressed by a lockdown that gradually increased in space, time and intensity. The effectiveness of the lockdown has not been precisely assessed with respect to the intensity of mobility restriction an

Externí odkaz: https://doaj.org/article/bd1605a9e4664b1484d9d6242888498f

Knowledge and Data-Driven Mapping of Environmental Status Indicators from Remote Sensing and VGI

Autor: Alessia Goffi, Gloria Bordogna, Daniela Stroppiana, Mirco Boschetti, Pietro Alessandro Brivio

Publikováno v: Remote Sensing, Vol 12, Iss 3, p 495 (2020)

The paper proposes a transparent approach for mapping the status of environmental phenomena from multisource information based on both soft computing and machine learning. It is transparent, intended as human understandable as far as the employed cri

Externí odkaz: https://doaj.org/article/ca2ba0d1d31a4b4690f8d7a77a813ddc

Dynamic causal modeling of the COVID-19 pandemic in northern Italy predicts possible scenarios for the second wave

Autor: Egidio D'Angelo, Alessia Goffi, Tommaso Filippini, Daniela Gandolfi, Giuseppe Pagnoni, Marco Vinceti, Jonathan Mapelli

The COVID-19 pandemic has sparked an intense debate about the factors underlying the dynamics of the outbreak. Mitigating virus spread could benefit from reliable predictive models that inform effective social and healthcare strategies. Crucially, th

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f4852e670ace340a64fa8663857d4320
https://doi.org/10.1101/2020.08.20.20178798

A Scalable Synthesis of Multiple Models of Geo Big Data Interpretation

Autor: Daniela Stroppiana, Mirco Boschetti, Alessia Goffi, Pietro Alessandro Brivio, Gloria Bordogna

Publikováno v: Journal of software engineering and applications (Online) 13 (2020): 104–128. doi:10.4236/jsea.2020.136008
info:cnr-pdr/source/autori:Alessia Goffi, Gloria Bordogna, Daniela Stroppiana, Mirco Boschetti, Pietro Alessandro Brivio/titolo:A Scalable Synthesis of Multiple Models of Geo Big Data Interpretation/doi:10.4236%2Fjsea.2020.136008/rivista:Journal of software engineering and applications (Online)/anno:2020/pagina_da:104/pagina_a:128/intervallo_pagine:104–128/volume:13

The paper proposes a scalable fuzzy approach for mapping the status of the environment integrating several distinct models exploiting geo big data. The process is structured into two phases: the first one can exploit products yielded by distinct mode

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b2d3d338f60f7a0f12d1b68a137e1377
http://www.cnr.it/prodotto/i/424431

Associations between mortality from COVID-19 in two Italian regions and outdoor air pollution as assessed through tropospheric nitrogen dioxide

Autor: Alessia Goffi, Mario Saia, Nicola Orsini, Tommaso Filippini, Silvia Cocchio, Kenneth J. Rothman, Marco Vinceti, Fabrizio Ferrari, Giuseppe Maffeis, Vincenzo Baldo, Elena Narne, Domenico Mantoan

Publikováno v: Science of The Total Environment
The Science of the Total Environment

After the appearance of COVID-19 in China last December 2019, Italy was the first European country to be severely affected by the outbreak. The first diagnosis in Italy was on February 20, 2020, followed by the establishment of a light and a tight lo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4e4522c5823bd0f4b798ef282185a860
https://doi.org/10.1016/j.scitotenv.2020.143355