The DOI matches its Crossref record.
A Note on the Derivation of Epidemic Final Sizes
Open accessAbstract
Final size relations are known for many epidemic models. The derivations are often tedious and difficult, involving indirect methods to solve a system of integro-differential equations. Often when the details of the disease or population change, the final size relation does not. An alternate approach to deriving final sizes has been suggested. This approach directly considers the underlying stochastic process of the epidemic rather than the approximating deterministic equations and gives insight into why the relations hold. It has not been widely used. We suspect that this is because it appears to be less rigorous. In this article, we investigate this approach more fully and show that under very weak assumptions (which are satisfied in all conditions we are aware of for which final size relations exist) it can be made rigorous. In particular, the assumptions must hold whenever integro-differential equations exist, but they may also hold in cases without such equations. Thus, the use of integro-differential equations to find a final size relation is unnecessary and a simpler, more general method can be applied.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Estimating the effects of non-pharmaceutical interventions on COVID-19 in Europe
Flaxman, S., Mishra, S., Gandy, A., Unwin, H. J. T., Mellan, T. A., Coupland, H., Whittaker, C., Zhu, H., Berah, T., Eaton, J. W., et al. (2020) · Nature · doi:10.1038/s41586-020-2405-7 · Cited by 3,350
COVID-19 Pandemic Prediction for Hungary; A Hybrid Machine Learning Approach
Pinter, G., Felde, I., Mosavi, A., Ghamisi, P., & Gloaguen, R. (2020) · Mathematics · doi:10.3390/math8060890 · Cited by 328
Cross-reactive memory T cells and herd immunity to SARS-CoV-2
Lipsitch, M., Grad, Y. H., Sette, A., & Crotty, S. (2020) · Nature Reviews Immunology · doi:10.1038/s41577-020-00460-4 · Cited by 260
Schnyder, S. K., Molina, J. J., Yamamoto, R., & Turner, M. S. (2025) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2409362122 · Cited by 12
Metadata
- Authors
- Miller, J. C.
- Venue
- Bulletin of Mathematical Biology
- Published
- 2012-07-25
- Volume
- 74
- Issue
- 9
- Pages
- 2125-2141
- ISSN
- 0092-8240 (ISSN-L)
- 1522-9602
- OpenAlex
- W2035886603
- Cited by
- 179
- References
- 0
- FWCI
- 2.03
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A Note on the Derivation of Epidemic Final Sizes. https://app.cochat.ai/papers/10.1007/s11538-012-9749-6
- The paper
- Miller, J. C. (2012). A Note on the Derivation of Epidemic Final Sizes. Bulletin of Mathematical Biology. https://doi.org/10.1007/s11538-012-9749-6
Data sources
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.