M
Massimo Ciccozzi
Researcher at Università Campus Bio-Medico
Publications - 474
Citations - 11701
Massimo Ciccozzi is an academic researcher from Università Campus Bio-Medico. The author has contributed to research in topics: Medicine & Population. The author has an hindex of 44, co-authored 404 publications receiving 8554 citations. Previous affiliations of Massimo Ciccozzi include National Research Council & Istituto Superiore di Sanità.
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Journal ArticleDOI
Emerging SARS-CoV-2 mutation hot spots include a novel RNA-dependent-RNA polymerase variant.
Maria Pachetti,Maria Pachetti,Bruna Marini,Francesca Benedetti,Fabiola Giudici,Elisabetta Mauro,Paola Storici,Claudio Masciovecchio,Silvia Angeletti,Massimo Ciccozzi,Robert C. Gallo,Robert C. Gallo,Davide Zella,Davide Zella,Rudy Ippodrino +14 more
TL;DR: The findings suggest that the virus is evolving and European, North American and Asian strains might coexist, each of them characterized by a different mutation pattern.
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The 2019-new coronavirus epidemic: Evidence for virus evolution.
Domenico Benvenuto,Marta Giovanetti,Alessandra Ciccozzi,Silvia Spoto,Silvia Angeletti,Massimo Ciccozzi +5 more
TL;DR: The phylogenetic tree showed that 2019‐nCoV significantly clustered with bat SARS‐like coronavirus sequence isolated in 2015, whereas structural analysis revealed mutation in Spike Glycoprotein and nucleocapsid protein.
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The COVID-19 pandemic
Marco Ciotti,Massimo Ciccozzi,Alessandro Terrinoni,Wen Can Jiang,Cheng Bin Wang,Sergio Bernardini +5 more
TL;DR: The available therapies to fight CO VID-19, the development of vaccines, the role of artificial intelligence in the management of the pandemic and limiting the spread of the virus, the impact of the COVID-19 epidemic on the authors' lifestyle, and preparation for a possible second wave are provided.
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Application of the ARIMA model on the COVID-2019 epidemic dataset
TL;DR: A simple econometric model that could be useful to predict the spread of COVID-2019 is proposed that was performed on the Johns Hopkins epidemiological data and performed Auto Regressive Integrated Moving Average model prediction.
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COVID-2019: The role of the nsp2 and nsp3 in its pathogenesis.
Silvia Angeletti,Domenico Benvenuto,Martina Bianchi,Marta Giovanetti,Stefano Pascarella,Massimo Ciccozzi +5 more
TL;DR: The Open Reading Frame 1ab of COVID‐2019 has been analyzed to evidence the presence of mutation caused by selective pressure on the virus, and the stabilizing mutation falling in the endosome‐associated‐protein‐like domain of the nsp2 protein could account for CO VID‐2019 high ability of contagious, while the destabilizing mutation in nsp3 proteins could suggest a potential mechanism differentiating COVID•2019 from SARS.