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Prevalence of hemorrhagic fever with renal syndrome in Yiyuan County, China, 2005–2014
BACKGROUND: Hemorrhagic fever with renal syndrome (HFRS) is highly endemic in mainland China, where human cases account for 90 % of the total global cases. Yiyuan County is one of the most serious affected areas in China. Therefore, there is an urgent need for monitoring and predicting HFRS incidenc...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4744626/ https://www.ncbi.nlm.nih.gov/pubmed/26852019 http://dx.doi.org/10.1186/s12879-016-1404-7 |
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author | Wang, Tao Liu, Jie Zhou, Yunping Cui, Feng Huang, Zhenshui Wang, Ling Zhai, Shenyong |
author_facet | Wang, Tao Liu, Jie Zhou, Yunping Cui, Feng Huang, Zhenshui Wang, Ling Zhai, Shenyong |
author_sort | Wang, Tao |
collection | PubMed |
description | BACKGROUND: Hemorrhagic fever with renal syndrome (HFRS) is highly endemic in mainland China, where human cases account for 90 % of the total global cases. Yiyuan County is one of the most serious affected areas in China. Therefore, there is an urgent need for monitoring and predicting HFRS incidence in Yiyuan to make the control of HFRS more effective. METHODS: The study was based on the reported cases of HFRS from the National Notifiable Disease Surveillance System. The demographic and spatial distributions of HFRS in Yiyuan were established. Then we fit autoregressive integrated moving average (ARIMA) models and predict the HFRS epidemic trend. RESULTS: There were 362 cases reported in Yiyuan during the 10-year study period. The human infections in the fall and winter reflected a seasonal characteristic pattern of Hantaan virus (HTNV) transmission. The best model was ARIMA (2, 1, 1) × (0, 1, 1)(12) (AIC value 516.86) with a high validity. CONCLUSION: The ARIMA model fits the fluctuations in HFRS frequency and it can be used for future forecasting when applied to HFRS prevention and control. |
format | Online Article Text |
id | pubmed-4744626 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-47446262016-02-08 Prevalence of hemorrhagic fever with renal syndrome in Yiyuan County, China, 2005–2014 Wang, Tao Liu, Jie Zhou, Yunping Cui, Feng Huang, Zhenshui Wang, Ling Zhai, Shenyong BMC Infect Dis Research Article BACKGROUND: Hemorrhagic fever with renal syndrome (HFRS) is highly endemic in mainland China, where human cases account for 90 % of the total global cases. Yiyuan County is one of the most serious affected areas in China. Therefore, there is an urgent need for monitoring and predicting HFRS incidence in Yiyuan to make the control of HFRS more effective. METHODS: The study was based on the reported cases of HFRS from the National Notifiable Disease Surveillance System. The demographic and spatial distributions of HFRS in Yiyuan were established. Then we fit autoregressive integrated moving average (ARIMA) models and predict the HFRS epidemic trend. RESULTS: There were 362 cases reported in Yiyuan during the 10-year study period. The human infections in the fall and winter reflected a seasonal characteristic pattern of Hantaan virus (HTNV) transmission. The best model was ARIMA (2, 1, 1) × (0, 1, 1)(12) (AIC value 516.86) with a high validity. CONCLUSION: The ARIMA model fits the fluctuations in HFRS frequency and it can be used for future forecasting when applied to HFRS prevention and control. BioMed Central 2016-02-06 /pmc/articles/PMC4744626/ /pubmed/26852019 http://dx.doi.org/10.1186/s12879-016-1404-7 Text en © Wang et al. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Wang, Tao Liu, Jie Zhou, Yunping Cui, Feng Huang, Zhenshui Wang, Ling Zhai, Shenyong Prevalence of hemorrhagic fever with renal syndrome in Yiyuan County, China, 2005–2014 |
title | Prevalence of hemorrhagic fever with renal syndrome in Yiyuan County, China, 2005–2014 |
title_full | Prevalence of hemorrhagic fever with renal syndrome in Yiyuan County, China, 2005–2014 |
title_fullStr | Prevalence of hemorrhagic fever with renal syndrome in Yiyuan County, China, 2005–2014 |
title_full_unstemmed | Prevalence of hemorrhagic fever with renal syndrome in Yiyuan County, China, 2005–2014 |
title_short | Prevalence of hemorrhagic fever with renal syndrome in Yiyuan County, China, 2005–2014 |
title_sort | prevalence of hemorrhagic fever with renal syndrome in yiyuan county, china, 2005–2014 |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4744626/ https://www.ncbi.nlm.nih.gov/pubmed/26852019 http://dx.doi.org/10.1186/s12879-016-1404-7 |
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