scholarly journals Mathematical and computer modeling of COVID-19 transmission dynamics in Bulgaria by time-depended inverse SEIR model

2021 ◽  
Author(s):  
Svetozar Margenov ◽  
Nedyu Popivanov ◽  
Iva Ugrinova ◽  
Stanislav Harizanov ◽  
Tsvetan Hristov
2017 ◽  
Vol 38 (4) ◽  
pp. 15-28 ◽  
Author(s):  
Małgorzata Sikora ◽  
Tadeusz Bohdal

Abstract Investigations of refrigerant condensation in pipe minichannels are very challenging and complicated issue. Due to the multitude of influences very important is mathematical and computer modeling. Its allows for performing calculations for many different refrigerants under different flow conditions. A large number of experimental results published in the literature allows for experimental verification of correctness of the models. In this work is presented a mathematical model for calculation of flow resistance during condensation of refrigerants in the pipe minichannel. The model was developed in environment based on conservation equations. The results of calculations were verified by authors own experimental investigations results.


2020 ◽  
Vol 0 (1) ◽  
pp. 46-53
Author(s):  
Mykola Korzh ◽  
Volodymyr Radchenko ◽  
Volodymyr Kutsenko ◽  
Andrey Popov ◽  
Oleg Veretelnik ◽  
...  

2020 ◽  
Author(s):  
BRAHMATHEJA REDDY MALI REDDY ◽  
ANUJ SINGH ◽  
PRADEEP SRIVASTAVA

India is one of the most harshly affected countries due to COVID epidemic. Early implementation of lockdown protocols were useful to control certain parameters of transmission dynamics, but the numbers are consistently increasing in later months. India population is divided into different clusters on the basis of population density and population mobility, even varying resource availability and since the recent cases are coming from throughout the country, it allows us to model an overall average of the country. In this study, we try to prove the efficiency of using the SEIR epidemiological model for different rate study analysis for COVID epidemic in India. Along with it we derived newer components for better forecast of the pandemic in India. We found that there is a decrease in R0 value, but still the epidemic is not under control. The percentage of infected patients being admitted into ICU for critical care is around 9.986%, while the chances of recovery of critical patients being admitted to the ICU seem to be slim at 79.9% of the admitted being dead.


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