scholarly journals Football in the third wave of the COVID-19 pandemic – considerations regarding competition organization

Abstract. In this paper, we aim to complement the experience acquired so far in pandemic times by addressing the current problem of football from certain specific directions, in the conditions of COVID-19 infection. This study used some models (SIR, SEIR and SIRD) that tried to determine the evolution of the pandemic on the basis of a few defining aspects. In a championship involving 20 teams and 38 stages, an officially registered squad for each team can consist of 34 players (30 field players and 4 goalkeepers), and competition organization in the form of a tournament can include: 14 days competition period + 7 days break => 4 games scheduled every 3 or 4 days; 10 x 14-day modules with 9 x 7-day recovery modules will be required for the competition. The current context is completely new and, in order to train and play during the pandemic, we need to consider the following aspects: the competition system of national football leagues should take the form of the model proposed by us, promoting young players from the academy; the competitions of the national team should take place in the form of tournaments; the referees’ activity should be reorganized in relation to the competition system.

Hypatia ◽  
1997 ◽  
Vol 12 (3) ◽  
pp. 29-45 ◽  
Author(s):  
Catherine M. Orr
Keyword(s):  

Hypatia ◽  
1997 ◽  
Vol 12 (3) ◽  
pp. 100-115
Author(s):  
David Golumbia
Keyword(s):  

Author(s):  
A.G. Filipova ◽  
A.V. Vysotskaya

The article presents the results of mathematical experiments with the system «Social potential of childhood in the Russian regions». In the structure of system divided into three subsystems – the «Reproduction of children in the region», «Children’s health» and «Education of children», for each defined its target factor (output parameter). The groups of infrastructure factors (education, health, culture and sport, transport), socio-economic, territorial-settlement, demographic and en-vironmental factors are designated as the factors that control the system (input parameters). The aim of the study is to build a model îf «Social potential of childhood in the Russian regions», as well as to conduct experiments to find the optimal ratio of the values of target and control factors. Three waves of experiments were conducted. The first wave is related to the analysis of the dynam-ics of indicators for 6 years. The second – with the selection of optimal values of control factors at fixed ideal values of target factors. The third wave allowed us to calculate the values of the target factors based on the selected optimal values of the control factors of the previous wave.


2021 ◽  
Vol 5 (1) ◽  
pp. 46
Author(s):  
Mostafa Abotaleb ◽  
Tatiana Makarovskikh

COVID-19 is one of the biggest challenges that countries face at the present time, as infections and deaths change daily and because this pandemic has a dynamic spread. Our paper considers two tasks. The first one is to develop a system for modeling COVID-19 based on time-series models due to their accuracy in forecasting COVID-19 cases. We developed an “Epidemic. TA” system using R programming for modeling and forecasting COVID-19 cases. This system contains linear (ARIMA and Holt’s model) and non-linear (BATS, TBATS, and SIR) time-series models and neural network auto-regressive models (NNAR), which allows us to obtain the most accurate forecasts of infections, deaths, and vaccination cases. The second task is the implementation of our system to forecast the risk of the third wave of infections in the Russian Federation.


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