Special Issue: Single-scale and multi-scale models in epidemiology

Guest Editors

Prof. Raluca Eftimie
Université de Franche-Comté, France
Email: raluca.eftimie@univ-fcomte.fr


Prof. Pierre Magal
Université de Bordeaux, France
Email: pierre.magal@u-bordeaux.fr

Manuscript Topics


The importance of mathematical modelling in epidemiology has been known for more than a century. However, the COVID-19 pandemics has brought into public limelight the role of mathematics to study the spread of infectious diseases, and to investigate the impact of various pharmaceutical and non-pharmaceutical interventions aimed to control the spread of such diseases.


This Special Issue aims to bring together new results related to single-scale and multi-scale modelling approaches of various infectious diseases, as well as new analytical and numerical methodologies for the investigation of these mathematical models. We also encourage submissions that connect new mathematical models with real data (epidemiological-level data, immunological-level data, or both).


Key words: Between-host Dynamics; Within-host Dynamics; Ordinary and Partial Differential Equations; Integral and Integro-Differential Equations; Delay differential Equations; Network Models; Sensitivity and Uncertainty Analysis; Model Parametrisation; Temporal, Spatial and Spatio-Temporal Data


Instructions for authors
https://www.aimspress.com/mbe/news/solo-detail/instructionsforauthors
Please submit your manuscript to online submission system
https://aimspress.jams.pub/

Paper Submission

All manuscripts will be peer-reviewed before their acceptance for publication. The deadline for manuscript submission is 30 June 2024

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