This paper is in the following e-collection/theme issue:

JMIR Theme Issue: COVID-19 Special Issue (2006) Big Data (166) Infectious Diseases (non-STD/STI) (1201) Outbreak and Pandemic Preparedness and Management (1397) Statistical Methods for Surveillance and Population Health (110) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1299)

Published on in Vol 22 , No 10 (2020) :October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/21081, first published .
How Data Analytics and Big Data Can Help Scientists in Managing COVID-19 Diffusion: Modeling Study to Predict the COVID-19 Diffusion in Italy and the Lombardy Region

How Data Analytics and Big Data Can Help Scientists in Managing COVID-19 Diffusion: Modeling Study to Predict the COVID-19 Diffusion in Italy and the Lombardy Region

How Data Analytics and Big Data Can Help Scientists in Managing COVID-19 Diffusion: Modeling Study to Predict the COVID-19 Diffusion in Italy and the Lombardy Region

Authors of this article:

Davide Tosi 1 Author Orcid Image ;   Alessandro Campi 2 Author Orcid Image
Article Authors Cited by (7) Tweetations (9) Metrics
Davide Tosi 1 , DPhil ;   Alessandro Campi 2 , DPhil

1 Università degli Studi dell'Insubria , Varese , IT

2 Politecnico di Milano , Milano , IT

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