Symposium “Mathematical Problems of Covid-19”

Novosibirsk, July 10, 2019

Co-Chairs

Jin Cheng, Fudan University, Shanghai, China
Sergey Kabanikhin, Novosibirsk State University, Russia

Programm Committee

Gennady Bocharov, Marchuk Institute of Numerical Mathematics, Moscow, Russia

Olga Kriovorotko, Novosibirsk State University, Russia
Alexey Romanyukha, Marchuk Institute of Numerical Mathematics, Moscow, Russia

Alexander Shananin, Moscow Institute of Physics and Technology, Russia
Maxim Shishlenin, Novosibirsk State University, Russia

Jujiang Yuan, Fudan University, Shanghai, China

 

Scientific Secretary

Aleksey Prikhodko, Novosibirsk State University, Russia
a.prikhodko@g.nsu.ru

 

Program

9:30-10:00 A linear nonlocal model for outbreak of COVID-19 and parameter identification
Jin Cheng
Fudan University, China
10:05-10:35 The dynamical model for COVID-19 with asymptotic analysis and numerical implementations

Jijun Liu

School of Mathematics, Southeast University, Nanjing Center for Applied Mathematics, China

10:40-11:10 Macro scenarios of the US state-monopoly capitalism dynamics through the corona-crisis
Alexander Ryzhenkov
Institute of Economics and Industrial Engineering, SB RAS, Novosibirsk, Russia
11:15-11:35 Impact of the pandemic Covid-19 on economic growth
Alexander Sokolov1, Maxim Shishlenin2
1Institute of Economics and Industrial Engineering, SB RAS, Novosibirsk, Russia
2Novosibirsk State University, Novosibirsk, Russia
11:40-12:00 Mathematical models of US economy during the crises caused by COVID-19
Nikolay Zyatkov1, Olga Krivorotko2
1Institute of Computational Mathematics and Mathematical Geophysics, Novosibirsk, Russia2Novosibirsk State University, Novosibirsk, Russia
12:05-12:25 Acoustic sounding in the detecting of pneumonia
Nikita Novikov1, Maxim Shishlenin1
1Novosibirsk State University, Novosibirsk, Russia
12:30-12:50 Modernization of the SEIR-D model
Alexey Prikhodko1, Maxim Shishlenin1, Sergey Kabanikhin1
1Novosibirsk State University, Novosibirsk, Russia
12:55-13:15 Mathematics of online social networks
Tatyana Zvonareva1, Olga Krivorotko1
1Novosibirsk State University, Novosibirsk, Russia
13:30-14:30 Lunch
14:30-15:00 Epidemics: challenges and  responses

Alexey Romanykha
Marchuk Institute of Numerical Mathematics, Moscow, Russia

Lomonosov Moscow State University

15:05-15:35 Mathematical problems driven by COVID-19
Sergey Kabanikhin
Novosibirsk State University, Novosibirsk, Russia
15:40-16:10 Mathematical modeling of the consequences of the Covid19 pandemic for the Russian economy
Natalia Obrosova, Alexander Shananin, Nikolay Trusov
Moscow Institute of Physics and Technology, Moscow, Russia
16:15-16:45 Mathematical immunology of virus infections
Gennady Bocharov
Marchuk Institute of Numerical Mathematics, Moscow, Russia
16:50-17:10 Mathematical modeling and scenarios of COVID-19 epidemy in Moscow and Novosibirsk region based on SEIR-HCD model
Olga Krivorotko1, Nikolay Zyatkov2, Daria Andornaya3, Sergey Kabanikhin1
1Novosibirsk State University, Novosibirsk, Russia
2Institute of Computational Mathematics and Mathematical Geophysics, Novosibirsk, Russia
3Baker Hughes Company
17:15-17:35 Analysis of COVID-19 data used in SEIR models
Olga Krivorotko1, Nikita Prokhoshin1
1Novosibirsk State University, Novosibirsk, Russia
17:40-18:00 Inverse problems for systems of nonlinear ordinary differential equations
Alexey Prikhodko1, Maxim Shishlenin1
1Novosibirsk State University, Novosibirsk, Russia