About this Research Topic
Infectious diseases have a significant impact on morbidity and mortality worldwide. Moreover, the world is witnessing the emergence of new pathogens, the reemergence of old ones, and the spreading antibiotic resistance. Mathematical modeling is a powerful tool to identify (also forecast) the mechanisms behind biological systems. Formulating the epidemic of ecological models in a mathematical model using ordinary/partial differential equations, fractional differential equations, and stochastic differential of discrete differential equations, researchers, try to identify the background dynamics. To study the epidemic system, organisms, including human, are divided into different compartment, and their spreading dynamics is studied. Nevertheless, different species are considered in the same system of equations in an ecological system and investigate their consumption pattern. A variety of modeling approaches is used through the investigation of stability, bifurcation, or model validation approach.
Infectious diseases and ecological modeling-related articles are encouraged for submission to the journal. We are interested in original research articles that focus on new research directions. According to Frontiers review guidelines, peer review is carried out to ensure that high-quality manuscripts can be published relatively and efficiently. In vast, the articles that will be covered the following topics are the leading motivations for publication on this platform:
- Public health and data analysis
- Infectious disease modeling and model validation
- Vector-borne diseases with single or multiple stain
- Stability and bifurcation analysis
- Eco-epidemic & ecological models
Keywords: Ecological system, Eco-epidemic model, Infectious diseases, Pathogens, Vector-borne diseases, Bifurcation analysis
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.