Advanced mathematical methodologies to contrast COVID-19 pandemic

2022, Volume 17, Issue 3: i-ii. doi: 10.3934/nhm.2022020

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1.
Department of Mathematics, University of Hawaii at Manoa, USA
2.
Department of Information Engineering, University of Brescia, Italy
3.
Department of Mathematics and its Applications, University of Milano-Bicocca, Italy
4.
Department of Mathematical Sciences and Center for Computational and Integrative Biology, Rutgers University, USA

Citation: Monique Chyba, Rinaldo M. Colombo, Mauro Garavello, Benedetto Piccoli. 2022: Advanced mathematical methodologies to contrast COVID-19 pandemic, Networks and Heterogeneous Media, 17(3): i-ii. doi: 10.3934/nhm.2022020

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