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A double epidemic model for the SARS propagation

BACKGROUND: An epidemic of a Severe Acute Respiratory Syndrome (SARS) caused by a new coronavirus has spread from the Guangdong province to the rest of China and to the world, with a puzzling contagion behavior. It is important both for predicting the future of the present outbreak and for implement...

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Autores principales: Ng, Tuen Wai, Turinici, Gabriel, Danchin, Antoine
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2003
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC222908/
https://www.ncbi.nlm.nih.gov/pubmed/12964944
http://dx.doi.org/10.1186/1471-2334-3-19
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author Ng, Tuen Wai
Turinici, Gabriel
Danchin, Antoine
author_facet Ng, Tuen Wai
Turinici, Gabriel
Danchin, Antoine
author_sort Ng, Tuen Wai
collection PubMed
description BACKGROUND: An epidemic of a Severe Acute Respiratory Syndrome (SARS) caused by a new coronavirus has spread from the Guangdong province to the rest of China and to the world, with a puzzling contagion behavior. It is important both for predicting the future of the present outbreak and for implementing effective prophylactic measures, to identify the causes of this behavior. RESULTS: In this report, we show first that the standard Susceptible-Infected-Removed (SIR) model cannot account for the patterns observed in various regions where the disease spread. We develop a model involving two superimposed epidemics to study the recent spread of the SARS in Hong Kong and in the region. We explore the situation where these epidemics may be caused either by a virus and one or several mutants that changed its tropism, or by two unrelated viruses. This has important consequences for the future: the innocuous epidemic might still be there and generate, from time to time, variants that would have properties similar to those of SARS. CONCLUSION: We find that, in order to reconcile the existing data and the spread of the disease, it is convenient to suggest that a first milder outbreak protected against the SARS. Regions that had not seen the first epidemic, or that were affected simultaneously with the SARS suffered much more, with a very high percentage of persons affected. We also find regions where the data appear to be inconsistent, suggesting that they are incomplete or do not reflect an appropriate identification of SARS patients. Finally, we could, within the framework of the model, fix limits to the future development of the epidemic, allowing us to identify landmarks that may be useful to set up a monitoring system to follow the evolution of the epidemic. The model also suggests that there might exist a SARS precursor in a large reservoir, prompting for implementation of precautionary measures when the weather cools down.
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spelling pubmed-2229082003-10-24 A double epidemic model for the SARS propagation Ng, Tuen Wai Turinici, Gabriel Danchin, Antoine BMC Infect Dis Research Article BACKGROUND: An epidemic of a Severe Acute Respiratory Syndrome (SARS) caused by a new coronavirus has spread from the Guangdong province to the rest of China and to the world, with a puzzling contagion behavior. It is important both for predicting the future of the present outbreak and for implementing effective prophylactic measures, to identify the causes of this behavior. RESULTS: In this report, we show first that the standard Susceptible-Infected-Removed (SIR) model cannot account for the patterns observed in various regions where the disease spread. We develop a model involving two superimposed epidemics to study the recent spread of the SARS in Hong Kong and in the region. We explore the situation where these epidemics may be caused either by a virus and one or several mutants that changed its tropism, or by two unrelated viruses. This has important consequences for the future: the innocuous epidemic might still be there and generate, from time to time, variants that would have properties similar to those of SARS. CONCLUSION: We find that, in order to reconcile the existing data and the spread of the disease, it is convenient to suggest that a first milder outbreak protected against the SARS. Regions that had not seen the first epidemic, or that were affected simultaneously with the SARS suffered much more, with a very high percentage of persons affected. We also find regions where the data appear to be inconsistent, suggesting that they are incomplete or do not reflect an appropriate identification of SARS patients. Finally, we could, within the framework of the model, fix limits to the future development of the epidemic, allowing us to identify landmarks that may be useful to set up a monitoring system to follow the evolution of the epidemic. The model also suggests that there might exist a SARS precursor in a large reservoir, prompting for implementation of precautionary measures when the weather cools down. BioMed Central 2003-09-10 /pmc/articles/PMC222908/ /pubmed/12964944 http://dx.doi.org/10.1186/1471-2334-3-19 Text en Copyright © 2003 Ng et al; licensee BioMed Central Ltd. This is an Open Access article: verbatim copying and redistribution of this article are permitted in all media for any purpose, provided this notice is preserved along with the article's original URL.
spellingShingle Research Article
Ng, Tuen Wai
Turinici, Gabriel
Danchin, Antoine
A double epidemic model for the SARS propagation
title A double epidemic model for the SARS propagation
title_full A double epidemic model for the SARS propagation
title_fullStr A double epidemic model for the SARS propagation
title_full_unstemmed A double epidemic model for the SARS propagation
title_short A double epidemic model for the SARS propagation
title_sort double epidemic model for the sars propagation
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC222908/
https://www.ncbi.nlm.nih.gov/pubmed/12964944
http://dx.doi.org/10.1186/1471-2334-3-19
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