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Mathematical Epidemiology of Infectious Diseases: Model Building, Analysis and Interpretation
Abstract
This book is primarily a self-study text for those who want to learn about mathematical modelling concepts in the area of infectious diseases. It is therefore of most interest to applied mathematicians, epidemiologists and theoretical biologists, although others may find some of the content of interest. The book takes a very hands-on approach to learning. Each of its ten chapters are littered with examples and exercises, all of which are aimed at reinforcing the concepts introduced. The book is split into two halves—the first half is the main portion of the text that contains all of the theory and exercises, whilst the second half is the elaborations (outline solutions) to the exercises. Personally, I feel that this structure makes for the ideal use of the book as a self-study text since one can work through it chapter by chapter, using the elaborations as and when necessary to help overcome any difficulties that may be encountered.
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Citations
Cited by
Wu, J. T., Leung, K., & Leung, G. M. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30260-9 · Cited by 4,389
Epidemic processes in complex networks
Pastor-Satorras, R., Castellano, C., Van Mieghem, P., & Vespignani, A. (2015) · Reviews of Modern Physics · doi:10.1103/revmodphys.87.925 · Cited by 3,697
Superspreading and the effect of individual variation on disease emergence
Lloyd-Smith, J. O., Schreiber, S. J., Kopp, P. E., & Getz, W. M. (2005) · Nature · doi:10.1038/nature04153 · Cited by 2,514
The construction of next-generation matrices for compartmental epidemic models
Diekmann, O., Heesterbeek, J. A. P., & Roberts, M. G. (2010) · Journal of The Royal Society Interface · doi:10.1098/rsif.2009.0386 · Cited by 2,119
Evaluating the Effects of SARS-CoV-2 Spike Mutation D614G on Transmissibility and Pathogenicity
Volz, E., Hill, V., McCrone, J. T., Price, A., Jorgensen, D., O’Toole, Á., Southgate, J., Johnson, R., Jackson, B., Nascimento, F. F., et al. (2021) · Cell · doi:10.1016/j.cell.2020.11.020 · Cited by 1,006
Metadata
- Authors
- Roddam, A. W.
- Venue
- International Journal of Epidemiology
- Publisher
- Oxford University Press (OUP)
- Published
- 2001-02
- Volume
- 30
- Issue
- 1
- Pages
- 186-186
- ISSN
- 0300-5771 (ISSN-L)
- 1464-3685
- OpenAlex
- W2163966557
- Cited by
- 1,443
- References
- 0
- FWCI
- 19.93
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Mathematical Epidemiology of Infectious Diseases: Model Building, Analysis and Interpretation. https://app.cochat.ai/papers/10.1093/ije/30.1.186
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- Roddam, A. W. (2001). Mathematical Epidemiology of Infectious Diseases: Model Building, Analysis and Interpretation. International Journal of Epidemiology. https://doi.org/10.1093/ije/30.1.186
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
