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Sticha, C.* ; Picasso, F.* ; Kuttler, C.* ; Hoelscher, M. ; Wieser, A.* ; Castelletti, N.

A general deterministic model of ordinary differential equations for a broad variety of different diseases.

Chaos Solitons Fractals 188:115475 (2024)
Publ. Version/Full Text DOI
Open Access Gold (Paid Option)
Creative Commons Lizenzvertrag
The COVID-19 pandemic underscored the pivotal role of mathematical models in comprehending pandemic dynamics and making accurate predictions under diverse interventions. Various mathematical models, particularly deterministic ones, have proven valuable for analyzing the impact of political, social, and medical measures during ongoing pandemics. In this study, we aim to formulate and characterize a comprehensive model applicable to different infectious diseases. Reviewing numerous disease-specific models reveals a common foundation in the Kermack–McKendrick model (SIR model). While there are more general versions incorporating population dynamics, vector populations, and vaccination, none encompass all attributes simultaneously. To address this gap, we propose a comprehensive general model capable of accommodating different transmission modes, pandemic control measures, and diverse pathogens. Unlike disease-specific models, having such a pre-established model with foundational mathematical properties analyzed eliminates the need to reevaluate these characteristics for each new disease-specific model. This article presents our comprehensive general model, supported by mathematical analysis and numerical simulations, offering a versatile tool for understanding the dynamics of emerging infectious diseases and guiding intervention strategies. The applicability of the model is demonstrated through simulations.
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Publication type Article: Journal article
Document type Scientific Article
Corresponding Author
Keywords Compartmental Model ; Epidemic Control ; General Epidemic Model ; Numerical Simulation ; Ordinary Differential Equations ; Reproduction Rate; Dynamics
ISSN (print) / ISBN 0960-0779
e-ISSN 0960-0779
Quellenangaben Volume: 188, Issue: , Pages: , Article Number: 115475 Supplement: ,
Publisher Elsevier
Publishing Place The Boulevard, Langford Lane, Kidlington, Oxford Ox5 1gb, England
Non-patent literature Publications
Reviewing status Peer reviewed
Institute(s) Institute of Radiation Medicine (IRM)
Research Unit Global Health (UGH)
Grants German Federal Ministry of Education and Research (BMBF)