Albu, Lucian-Liviu (2020): How much will the Coronavirus pandemic expand?
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Abstract
The Covid-19 pandemic is going to provoke a huge global crisis in all fields (humanitarian, social, economic). To evaluate its impact is difficult until the pandemic crisis will be stopped or at least its peak will be reached. In order to contribute to such work, we propose in this study a new estimation-simulation model, as an alternative to those models coming from probabilistic, genetic algorithms or other approach. Inspired by classical mechanic dynamics of systems, our model tries to formalize the dynamics of affected population by Covid-19 pandemic. By using a logistic model, in order to find the main characteristics of the system’s dynamics we resort to the first two differentiate function by time for four basic indicators (variables). Essentially for obtaining a solution to estimate the system’s dynamics, we used a balance equation for the variable of active cases, as the difference between the total number of infected and the sum between the number of healed (recovered) and the number of deaths, on the one hand, and the hypothesis that at the end of pandemic this variable must be zero, on the other hand. Because for this key-variable doesn't exist an analytical solution we used a numerical method to obtain some key-values for it. Finally, based on such methodology we classified the Covid-19 pandemic evolution in four phases.
Item Type: | MPRA Paper |
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Original Title: | How much will the Coronavirus pandemic expand? |
Language: | English |
Keywords: | Epidemic, Coronavirus, Infected population structure, Logistic function, Simultaneous equations, Concavity |
Subjects: | C - Mathematical and Quantitative Methods > C6 - Mathematical Methods ; Programming Models ; Mathematical and Simulation Modeling > C61 - Optimization Techniques ; Programming Models ; Dynamic Analysis I - Health, Education, and Welfare > I1 - Health > I10 - General I - Health, Education, and Welfare > I1 - Health > I18 - Government Policy ; Regulation ; Public Health J - Labor and Demographic Economics > J1 - Demographic Economics > J10 - General |
Item ID: | 99862 |
Depositing User: | Lucian Liviu Albu |
Date Deposited: | 06 May 2020 14:05 |
Last Modified: | 06 May 2020 14:05 |
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URI: | https://mpra.ub.uni-muenchen.de/id/eprint/99862 |