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Study of surveillance data for class B notifiable disease in China from 2005 to 2014
BACKGROUND: The surveillance of infection is very important for public health management and disease control. It has been 10 years since China implemented its new web-based infection surveillance system, which covers the largest population in the world. METHODS: In this study, time series data were...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Authors. Published by Elsevier Ltd on behalf of International Society for Infectious Diseases.
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7110548/ https://www.ncbi.nlm.nih.gov/pubmed/27094249 http://dx.doi.org/10.1016/j.ijid.2016.04.010 |
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author | Zhang, Xingyu Hou, Fengsu Li, Xiaosong Zhou, Lijun Liu, Yuanyuan Zhang, Tao |
author_facet | Zhang, Xingyu Hou, Fengsu Li, Xiaosong Zhou, Lijun Liu, Yuanyuan Zhang, Tao |
author_sort | Zhang, Xingyu |
collection | PubMed |
description | BACKGROUND: The surveillance of infection is very important for public health management and disease control. It has been 10 years since China implemented its new web-based infection surveillance system, which covers the largest population in the world. METHODS: In this study, time series data were collected for 28 infectious diseases reported from 2005 to 2014 . Seasonality and long-term trends were explored using decomposition methods. Seasonality was expressed by calculating the seasonal indices. Long-term trends in the diseases were assessed using a linear regression model on the deseasonalized series. RESULTS: During the 10-year period, 38 982 567 cases and 126 372 deaths were reported in the system. The proportion of deaths caused by AIDS increased from 12% in 2005 to 78% in 2014. There were six diseases for which the seasonal index range was greater than 2: dengue fever, Japanese encephalitis, leptospirosis, anthrax, cerebrospinal meningitis, and measles . Among the 28 diseases, the incidence of syphilis increased fastest, with an average increase of 0.018626/100 000 every month after adjustment for seasonality. CONCLUSIONS: Effective surveillance is helpful in gaining a better understanding of the infection behaviour of infectious diseases; this will greatly facilitate disease control and management. |
format | Online Article Text |
id | pubmed-7110548 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | The Authors. Published by Elsevier Ltd on behalf of International Society for Infectious Diseases. |
record_format | MEDLINE/PubMed |
spelling | pubmed-71105482020-04-02 Study of surveillance data for class B notifiable disease in China from 2005 to 2014 Zhang, Xingyu Hou, Fengsu Li, Xiaosong Zhou, Lijun Liu, Yuanyuan Zhang, Tao Int J Infect Dis Article BACKGROUND: The surveillance of infection is very important for public health management and disease control. It has been 10 years since China implemented its new web-based infection surveillance system, which covers the largest population in the world. METHODS: In this study, time series data were collected for 28 infectious diseases reported from 2005 to 2014 . Seasonality and long-term trends were explored using decomposition methods. Seasonality was expressed by calculating the seasonal indices. Long-term trends in the diseases were assessed using a linear regression model on the deseasonalized series. RESULTS: During the 10-year period, 38 982 567 cases and 126 372 deaths were reported in the system. The proportion of deaths caused by AIDS increased from 12% in 2005 to 78% in 2014. There were six diseases for which the seasonal index range was greater than 2: dengue fever, Japanese encephalitis, leptospirosis, anthrax, cerebrospinal meningitis, and measles . Among the 28 diseases, the incidence of syphilis increased fastest, with an average increase of 0.018626/100 000 every month after adjustment for seasonality. CONCLUSIONS: Effective surveillance is helpful in gaining a better understanding of the infection behaviour of infectious diseases; this will greatly facilitate disease control and management. The Authors. Published by Elsevier Ltd on behalf of International Society for Infectious Diseases. 2016-07 2016-04-14 /pmc/articles/PMC7110548/ /pubmed/27094249 http://dx.doi.org/10.1016/j.ijid.2016.04.010 Text en © 2016 The Authors 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 | Article Zhang, Xingyu Hou, Fengsu Li, Xiaosong Zhou, Lijun Liu, Yuanyuan Zhang, Tao Study of surveillance data for class B notifiable disease in China from 2005 to 2014 |
title | Study of surveillance data for class B notifiable disease in China from 2005 to 2014 |
title_full | Study of surveillance data for class B notifiable disease in China from 2005 to 2014 |
title_fullStr | Study of surveillance data for class B notifiable disease in China from 2005 to 2014 |
title_full_unstemmed | Study of surveillance data for class B notifiable disease in China from 2005 to 2014 |
title_short | Study of surveillance data for class B notifiable disease in China from 2005 to 2014 |
title_sort | study of surveillance data for class b notifiable disease in china from 2005 to 2014 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7110548/ https://www.ncbi.nlm.nih.gov/pubmed/27094249 http://dx.doi.org/10.1016/j.ijid.2016.04.010 |
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