Modelling the spreading rate of controlled communicable epidemics through an entropy-based thermodynamic model
arXiv:1304.5603 · doi:10.1007/s11433-013-5321-0
Abstract
A model based on a thermodynamic approach is proposed for predicting the dynamics of communicable epidemics in a city, when the epidemic is governed by controlling efforts of multiple scales so that an entropy is associated with the system. All the epidemic details are factored into a single parameter that is determined by maximizing the rate of entropy production. Despite the simplicity of the final model, it predicts the number of hospitalized cases with a reasonable accuracy, using the data of SARS of the year 2003, once the inflexion point characterizing the effect of multiple controlling efforts is known. This model is supposed to be of potential usefulness since epidemics such as avian influenza like H7H9 in China this year have the risk to become communicable among human beings.
12 pages, 13 figures
References in corpus (1)
Cited by in corpus (5)
- Phase-resolved electrical detection of coherently coupled magnonic devices
- Monitoring and Forecasting COVID-19: Statistical Heuristic Regression, Susceptible-Infected-Removed model and, Spatial Stochastics
- SIS Epidemic Spreading with Heterogeneous Infection Rates
- The Accuracy of Mean-Field Approximation for Susceptible-Infected-Susceptible Epidemic Spreading
- The number e^{(1/2)} is the ratio between the time of maximum value and the time of maximum growth rate for restricted growth phenomena?