Mathematical Modeling in Epidemiology and Dynamical Systems Theory
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E3: Mathematical Biology".
Deadline for manuscript submissions: closed (20 April 2025) | Viewed by 673
Special Issue Editor
Special Issue Information
Dear Colleagues,
The research on the modeling of the spread of infectious diseases, which had already been in rapid evolution in the pre-COVID era, has received a major impetus by the recent pandemic. In this discipline, various degrees of complexity synergistically interplay so that broad and differentiated expertise is required.
On one hand, mathematical epidemiology had an important theoretical value per se, by bringing advances to various areas of the dynamical systems theory and mathematical analysis. On the other hand, it contributed to the understanding of the spread and control of infectious diseases by also assisting public health decisions and policies.
Nonetheless, there are still many challenges to face. In modern societies, where information is rapidly disseminated and filtered by social media, the dynamics of an infectious disease are much more complex than in the past. This requires the investigations of new mathematical approaches that are able to capture the link between the disease spread and the social structure of the host population, including human behaviour and mobility patterns.
This Special Issue aims to collect papers that introduce novel mathematical approaches to unravel the link between social and epidemiological phenomena. Papers that also provide new insights in the dynamical systems theory are particularly encouraged.
Dr. Rossella Della Marca
Guest Editor
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Keywords
- epidemic models
- qualitative analysis
- social phenomena
- human behaviour
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