Mathematical Modeling and Forecasting of COVID-19 in Moscow and Novosibirsk Region

Author:

Krivorot’ko O. I.,Kabanikhin S. I.,Zyat’kov N. Yu.,Prikhod’ko A. Yu.,Prokhoshin N. M.,Shishlenin M. A.

Publisher

Pleiades Publishing Ltd

Subject

Numerical Analysis

Reference36 articles.

1. Coronavirus COVID-19 Global Cases by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University, March 21, 2020; https://gisanddata.maps.arcgis.com/apps/opsdashboard/ index.html#/bda7594740fd40299423467b48e9ecf6

2. Tamm, M.V., COVID-19 in Moscow: Prognoses and Scenarios, FARMAKOEKONOMIKA. Sovr. Farmacoeconom. Farmacoepidemiology, 2020, vol 13, no. 1, pp. 43–51; DOI: 10.17749/2070-4909.2020. 13.1.43-51.

3. Koltsova, E.M., Kurkina, E.S., and Vasetsky, A.M., Mathematical Modeling of the Spread of COVID-19 in Moscow and Russian Regions, 2020; arXiv:2004.10118 [q-bio.PE].

4. Zlojutro, A., Rey, D., and Gardner, L., Optimizing Border Control Policies for Global Out-Break Mitigation, Sci. Rep., 2019, vol. 9, p. 2216; https://rdcu.be/bniOs.

5. Chen, Y., Cheng, J., Jiang, Y., and Liu, K., A Time Delay Dynamical Model for Outbreak of 2019-nCoV and the Parameter Identification, J. Inv. Ill-Posed Probl., 2020, vol. 28, iss. 2, pp. 243–250.

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