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Formal kinetics of H1N1 epidemic
BACKGROUND: The formal kinetics of the H1N1 epidemic seems to take the form of an exponential curve. There is a good correlation between this theoretical model and epidemiological data on the number of H1N1-infected people. But this formal model leads to paradoxes about the dates when everyone becom...
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2009
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2751748/ https://www.ncbi.nlm.nih.gov/pubmed/19754945 http://dx.doi.org/10.1186/1742-4682-6-23 |
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author | Gurevich, Konstantin G |
author_facet | Gurevich, Konstantin G |
author_sort | Gurevich, Konstantin G |
collection | PubMed |
description | BACKGROUND: The formal kinetics of the H1N1 epidemic seems to take the form of an exponential curve. There is a good correlation between this theoretical model and epidemiological data on the number of H1N1-infected people. But this formal model leads to paradoxes about the dates when everyone becomes infected: in Mexico this will happen after one year, then in the rest of the world. FURTHER IMPLICATIONS OF THE FORMAL MODEL: The general limitations of this formal kinetics model are discussed. More detailed modeling is examined and the implications are examined in the light of currently available data. The evidence indicates that not more than 10% of the population is initially resistant to the H1N1 virus. CONCLUSION: We are probably only at the initial stage of development of the H1N1 epidemic. Increasing the number of H1N1-resistant people in future (e.g. due to vaccination) may influence the dynamics of epidemic development. At present, the development of the epidemic depends only on the number of people in the population who are initially resistant to the virus. |
format | Text |
id | pubmed-2751748 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-27517482009-09-25 Formal kinetics of H1N1 epidemic Gurevich, Konstantin G Theor Biol Med Model Commentary BACKGROUND: The formal kinetics of the H1N1 epidemic seems to take the form of an exponential curve. There is a good correlation between this theoretical model and epidemiological data on the number of H1N1-infected people. But this formal model leads to paradoxes about the dates when everyone becomes infected: in Mexico this will happen after one year, then in the rest of the world. FURTHER IMPLICATIONS OF THE FORMAL MODEL: The general limitations of this formal kinetics model are discussed. More detailed modeling is examined and the implications are examined in the light of currently available data. The evidence indicates that not more than 10% of the population is initially resistant to the H1N1 virus. CONCLUSION: We are probably only at the initial stage of development of the H1N1 epidemic. Increasing the number of H1N1-resistant people in future (e.g. due to vaccination) may influence the dynamics of epidemic development. At present, the development of the epidemic depends only on the number of people in the population who are initially resistant to the virus. BioMed Central 2009-09-15 /pmc/articles/PMC2751748/ /pubmed/19754945 http://dx.doi.org/10.1186/1742-4682-6-23 Text en Copyright © 2009 Gurevich; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Commentary Gurevich, Konstantin G Formal kinetics of H1N1 epidemic |
title | Formal kinetics of H1N1 epidemic |
title_full | Formal kinetics of H1N1 epidemic |
title_fullStr | Formal kinetics of H1N1 epidemic |
title_full_unstemmed | Formal kinetics of H1N1 epidemic |
title_short | Formal kinetics of H1N1 epidemic |
title_sort | formal kinetics of h1n1 epidemic |
topic | Commentary |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2751748/ https://www.ncbi.nlm.nih.gov/pubmed/19754945 http://dx.doi.org/10.1186/1742-4682-6-23 |
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