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The study on the early warning period of varicella outbreaks based on logistic differential equation model
Chickenpox is a common acute and highly contagious disease in childhood; moreover, there is currently no targeted treatment. Carrying out an early warning on chickenpox plays an important role in taking targeted measures in advance as well as preventing the outbreak of the disease. In recent years,...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cambridge University Press
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6518620/ https://www.ncbi.nlm.nih.gov/pubmed/30868977 http://dx.doi.org/10.1017/S0950268818002868 |
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author | Pang, Feng-Rui Luo, Qing-Hong Hong, Xiu-Qin Wu, Bin Zhou, Jun-Hua Zha, Wen-Ting Lv, Yuan |
author_facet | Pang, Feng-Rui Luo, Qing-Hong Hong, Xiu-Qin Wu, Bin Zhou, Jun-Hua Zha, Wen-Ting Lv, Yuan |
author_sort | Pang, Feng-Rui |
collection | PubMed |
description | Chickenpox is a common acute and highly contagious disease in childhood; moreover, there is currently no targeted treatment. Carrying out an early warning on chickenpox plays an important role in taking targeted measures in advance as well as preventing the outbreak of the disease. In recent years, the infectious disease dynamic model has been widely used in the research of various infectious diseases. The logistic differential equation model can well demonstrate the epidemic characteristics of epidemic outbreaks, gives the point at which the early epidemic rate changes from slow to fast. Therefore, our study aims to use the logistic differential equation model to explore the epidemic characteristics and early-warning time of varicella. Meanwhile, the data of varicella cases were collected from first week of 2008 to 52nd week of 2017 in Changsha. Finally, our study found that the logistic model can be well fitted with varicella data, besides the model illustrated that there are two peaks of varicella at each year in Changsha City. One is the peak in summer–autumn corresponding to the 8th–38th week; the other is in winter–spring corresponding to the time from the 38th to the seventh week next year. The ‘epidemic acceleration week’ average value of summer–autumn and winter–spring are about the 16th week (ranging from the 15th to 17th week) and 45th week (ranging from the 44th to 47th week), respectively. What is more, taking warning measures during the acceleration week, the preventive effect will be delayed; thus, we recommend intervene during recommended warning weeks which are the 15th and 44th weeks instead. |
format | Online Article Text |
id | pubmed-6518620 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Cambridge University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-65186202019-06-04 The study on the early warning period of varicella outbreaks based on logistic differential equation model Pang, Feng-Rui Luo, Qing-Hong Hong, Xiu-Qin Wu, Bin Zhou, Jun-Hua Zha, Wen-Ting Lv, Yuan Epidemiol Infect Original Paper Chickenpox is a common acute and highly contagious disease in childhood; moreover, there is currently no targeted treatment. Carrying out an early warning on chickenpox plays an important role in taking targeted measures in advance as well as preventing the outbreak of the disease. In recent years, the infectious disease dynamic model has been widely used in the research of various infectious diseases. The logistic differential equation model can well demonstrate the epidemic characteristics of epidemic outbreaks, gives the point at which the early epidemic rate changes from slow to fast. Therefore, our study aims to use the logistic differential equation model to explore the epidemic characteristics and early-warning time of varicella. Meanwhile, the data of varicella cases were collected from first week of 2008 to 52nd week of 2017 in Changsha. Finally, our study found that the logistic model can be well fitted with varicella data, besides the model illustrated that there are two peaks of varicella at each year in Changsha City. One is the peak in summer–autumn corresponding to the 8th–38th week; the other is in winter–spring corresponding to the time from the 38th to the seventh week next year. The ‘epidemic acceleration week’ average value of summer–autumn and winter–spring are about the 16th week (ranging from the 15th to 17th week) and 45th week (ranging from the 44th to 47th week), respectively. What is more, taking warning measures during the acceleration week, the preventive effect will be delayed; thus, we recommend intervene during recommended warning weeks which are the 15th and 44th weeks instead. Cambridge University Press 2019-01-25 /pmc/articles/PMC6518620/ /pubmed/30868977 http://dx.doi.org/10.1017/S0950268818002868 Text en © The Author(s) 2019 http://creativecommons.org/licenses/by/4.0/ This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Paper Pang, Feng-Rui Luo, Qing-Hong Hong, Xiu-Qin Wu, Bin Zhou, Jun-Hua Zha, Wen-Ting Lv, Yuan The study on the early warning period of varicella outbreaks based on logistic differential equation model |
title | The study on the early warning period of varicella outbreaks based on logistic differential equation model |
title_full | The study on the early warning period of varicella outbreaks based on logistic differential equation model |
title_fullStr | The study on the early warning period of varicella outbreaks based on logistic differential equation model |
title_full_unstemmed | The study on the early warning period of varicella outbreaks based on logistic differential equation model |
title_short | The study on the early warning period of varicella outbreaks based on logistic differential equation model |
title_sort | study on the early warning period of varicella outbreaks based on logistic differential equation model |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6518620/ https://www.ncbi.nlm.nih.gov/pubmed/30868977 http://dx.doi.org/10.1017/S0950268818002868 |
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