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Quantification of the severity of an outbreak in human infection control
BACKGROUND: The severity of an outbreak is a priority in decision-making for human infection control. However, there have been no reports on how to quantify the severity of an outbreak. METHODS: We propose a simple method to measure the severity of an infectious disease outbreak. It involves scoring...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
International Society for Infectious Diseases. Published by Elsevier Ltd.
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7110618/ https://www.ncbi.nlm.nih.gov/pubmed/20227902 http://dx.doi.org/10.1016/j.ijid.2009.09.010 |
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author | Chen, Yue-Ying Sun, Ying-Xue Chen, Ji-Wang Chen, Ji-Ming |
author_facet | Chen, Yue-Ying Sun, Ying-Xue Chen, Ji-Wang Chen, Ji-Ming |
author_sort | Chen, Yue-Ying |
collection | PubMed |
description | BACKGROUND: The severity of an outbreak is a priority in decision-making for human infection control. However, there have been no reports on how to quantify the severity of an outbreak. METHODS: We propose a simple method to measure the severity of an infectious disease outbreak. It involves scoring the severity of clinical signs, the transmission of the infection, the number of cases, and the infection source. RESULTS: The method was evaluated using the data available at the early stage of some recent outbreaks of infectious diseases, including the influenza A (H1N1) pandemic in 2009, and the evaluation supports the design idea. CONCLUSION: The method is practical for rating the severity of an infectious disease outbreak, though it should be optimized. It could also be used to judge whether an event constitutes a public health emergency of international concern (PHEIC) or not. |
format | Online Article Text |
id | pubmed-7110618 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | International Society for Infectious Diseases. Published by Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-71106182020-04-02 Quantification of the severity of an outbreak in human infection control Chen, Yue-Ying Sun, Ying-Xue Chen, Ji-Wang Chen, Ji-Ming Int J Infect Dis Perspective BACKGROUND: The severity of an outbreak is a priority in decision-making for human infection control. However, there have been no reports on how to quantify the severity of an outbreak. METHODS: We propose a simple method to measure the severity of an infectious disease outbreak. It involves scoring the severity of clinical signs, the transmission of the infection, the number of cases, and the infection source. RESULTS: The method was evaluated using the data available at the early stage of some recent outbreaks of infectious diseases, including the influenza A (H1N1) pandemic in 2009, and the evaluation supports the design idea. CONCLUSION: The method is practical for rating the severity of an infectious disease outbreak, though it should be optimized. It could also be used to judge whether an event constitutes a public health emergency of international concern (PHEIC) or not. International Society for Infectious Diseases. Published by Elsevier Ltd. 2010-09 2010-03-15 /pmc/articles/PMC7110618/ /pubmed/20227902 http://dx.doi.org/10.1016/j.ijid.2009.09.010 Text en Copyright © 2010 International Society for Infectious Diseases. Published by Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Perspective Chen, Yue-Ying Sun, Ying-Xue Chen, Ji-Wang Chen, Ji-Ming Quantification of the severity of an outbreak in human infection control |
title | Quantification of the severity of an outbreak in human infection control |
title_full | Quantification of the severity of an outbreak in human infection control |
title_fullStr | Quantification of the severity of an outbreak in human infection control |
title_full_unstemmed | Quantification of the severity of an outbreak in human infection control |
title_short | Quantification of the severity of an outbreak in human infection control |
title_sort | quantification of the severity of an outbreak in human infection control |
topic | Perspective |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7110618/ https://www.ncbi.nlm.nih.gov/pubmed/20227902 http://dx.doi.org/10.1016/j.ijid.2009.09.010 |
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