Entropy-Based Methods to Characterize Infectious Diseases
A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Complexity".
Deadline for manuscript submissions: closed (18 May 2022) | Viewed by 2464
Special Issue Editor
Special Issue Information
Dear Colleagues,
The crisis of the COVID-19 pandemic represents a tremendous challenge for the scientific community. It has fostered the development of new approaches in all fields of science to understand the disease and mitigate its propagation. One of the key issues is related to propagation modeling and dynamics characterization. Population behavior, governmental non-drug control measures, and the appearance of virus mutations and variants implies a complex behavior that makes propagation forecasting and dynamics characterization very difficult.
The aim of this Special Issue is to present surveys as well as original and recent developments focusing on how entropy-based approaches can be used to properly address the previously mentioned open topics. The contributions can be theoretical or applied, based on data series.
I look forward for your submissions.
Prof. Dr. Elbert E. N. Macau
Guest Editor
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Keywords
- Covid-19
- epidemiology modelling
- time series analysis
- entropy
- complexity
- dynamics
- forecasting
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