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

Journals

  1. Tosi D, Chiappa M. Understanding the Geographical Spread of COVID-19 in Relation with Goods Regional Routes and Governmental Decrees: The Lombardy Region Case Study. SN Computer Science 2021;2(3) View
  2. Lee K, Chien T, Yeh Y, Chou W, Wang H. An online time-to-event dashboard comparing the effective control of COVID-19 among continents using the inflection point on an ogive curve. Medicine 2021;100(10):e24749 View
  3. Tosi D, Campi A. How Schools Affected the COVID-19 Pandemic in Italy: Data Analysis for Lombardy Region, Campania Region, and Emilia Region. Future Internet 2021;13(5):109 View
  4. Wang L, Alexander C. COVID-19: a pandemic challenging healthcare systems. IISE Transactions on Healthcare Systems Engineering 2021:1 View
  5. Baksh S, Volodko N, Soucie M, Geier S, Diep A, Rozak K, Chan T, Mustapha J, Lai R, Estey M, Verity B, Lee M. Extractionless nucleic acid detection: a high capacity solution to COVID-19 testing. Diagnostic Microbiology and Infectious Disease 2021;101(2):115458 View
  6. Riswantini D, Nugraheni E, Arisal A, Khotimah P, Munandar D, Suwarningsih W. Big Data Research in Fighting COVID-19: Contributions and Techniques. Big Data and Cognitive Computing 2021;5(3):30 View