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Generality of the Final Size Formula for an Epidemic of a Newly Invading Infectious Disease
The well-known formula for the final size of an epidemic was published by Kermack and McKendrick in 1927. Their analysis was based on a simple susceptible-infected-recovered (SIR) model that assumes exponentially distributed infectious periods. More recent analyses have established that the standard...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer-Verlag
2006
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7088645/ https://www.ncbi.nlm.nih.gov/pubmed/16794950 http://dx.doi.org/10.1007/s11538-005-9047-7 |
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author | Ma, Junling Earn, David J. D. |
author_facet | Ma, Junling Earn, David J. D. |
author_sort | Ma, Junling |
collection | PubMed |
description | The well-known formula for the final size of an epidemic was published by Kermack and McKendrick in 1927. Their analysis was based on a simple susceptible-infected-recovered (SIR) model that assumes exponentially distributed infectious periods. More recent analyses have established that the standard final size formula is valid regardless of the distribution of infectious periods, but that it fails to be correct in the presence of certain kinds of heterogeneous mixing (e.g., if there is a core group, as for sexually transmitted diseases). We review previous work and establish more general conditions under which Kermack and McKendrick's formula is valid. We show that the final size formula is unchanged if there is a latent stage, any number of distinct infectious stages and/or a stage during which infectives are isolated (the durations of each stage can be drawn from any integrable distribution). We also consider the possibility that the transmission rates of infectious individuals are arbitrarily distributed—allowing, in particular, for the existence of super-spreaders—and prove that this potential complexity has no impact on the final size formula. Finally, we show that the final size formula is unchanged even for a general class of spatial contact structures. We conclude that whenever a new respiratory pathogen emerges, an estimate of the expected magnitude of the epidemic can be made as soon the basic reproduction number ℝ(0) can be approximated, and this estimate is likely to be improved only by more accurate estimates of ℝ(0), not by knowledge of any other epidemiological details. |
format | Online Article Text |
id | pubmed-7088645 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2006 |
publisher | Springer-Verlag |
record_format | MEDLINE/PubMed |
spelling | pubmed-70886452020-03-23 Generality of the Final Size Formula for an Epidemic of a Newly Invading Infectious Disease Ma, Junling Earn, David J. D. Bull Math Biol Article The well-known formula for the final size of an epidemic was published by Kermack and McKendrick in 1927. Their analysis was based on a simple susceptible-infected-recovered (SIR) model that assumes exponentially distributed infectious periods. More recent analyses have established that the standard final size formula is valid regardless of the distribution of infectious periods, but that it fails to be correct in the presence of certain kinds of heterogeneous mixing (e.g., if there is a core group, as for sexually transmitted diseases). We review previous work and establish more general conditions under which Kermack and McKendrick's formula is valid. We show that the final size formula is unchanged if there is a latent stage, any number of distinct infectious stages and/or a stage during which infectives are isolated (the durations of each stage can be drawn from any integrable distribution). We also consider the possibility that the transmission rates of infectious individuals are arbitrarily distributed—allowing, in particular, for the existence of super-spreaders—and prove that this potential complexity has no impact on the final size formula. Finally, we show that the final size formula is unchanged even for a general class of spatial contact structures. We conclude that whenever a new respiratory pathogen emerges, an estimate of the expected magnitude of the epidemic can be made as soon the basic reproduction number ℝ(0) can be approximated, and this estimate is likely to be improved only by more accurate estimates of ℝ(0), not by knowledge of any other epidemiological details. Springer-Verlag 2006-04-08 2006 /pmc/articles/PMC7088645/ /pubmed/16794950 http://dx.doi.org/10.1007/s11538-005-9047-7 Text en © Society for Mathematical Biology 2006 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Ma, Junling Earn, David J. D. Generality of the Final Size Formula for an Epidemic of a Newly Invading Infectious Disease |
title | Generality of the Final Size Formula for an Epidemic of a Newly Invading Infectious Disease |
title_full | Generality of the Final Size Formula for an Epidemic of a Newly Invading Infectious Disease |
title_fullStr | Generality of the Final Size Formula for an Epidemic of a Newly Invading Infectious Disease |
title_full_unstemmed | Generality of the Final Size Formula for an Epidemic of a Newly Invading Infectious Disease |
title_short | Generality of the Final Size Formula for an Epidemic of a Newly Invading Infectious Disease |
title_sort | generality of the final size formula for an epidemic of a newly invading infectious disease |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7088645/ https://www.ncbi.nlm.nih.gov/pubmed/16794950 http://dx.doi.org/10.1007/s11538-005-9047-7 |
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