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Development and comparison of forecast models of hand-foot-mouth disease with meteorological factors

Hand-foot-mouth disease (HFMD) is an acute intestinal virus infectious disease which is one of major public health problems in mainland China. Previous studies indicated that HFMD was significantly influenced by climatic factors, but the associated factors were different in different areas and few s...

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Autores principales: Fu, Tao, Chen, Ting, Dong, Zhen-Bin, Luo, Shu-Ying, Miao, Ziping, Song, Xiu-Ping, Huang, Ru-Ting, Sun, Ji-Min
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6821763/
https://www.ncbi.nlm.nih.gov/pubmed/31666565
http://dx.doi.org/10.1038/s41598-019-52044-5
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author Fu, Tao
Chen, Ting
Dong, Zhen-Bin
Luo, Shu-Ying
Miao, Ziping
Song, Xiu-Ping
Huang, Ru-Ting
Sun, Ji-Min
author_facet Fu, Tao
Chen, Ting
Dong, Zhen-Bin
Luo, Shu-Ying
Miao, Ziping
Song, Xiu-Ping
Huang, Ru-Ting
Sun, Ji-Min
author_sort Fu, Tao
collection PubMed
description Hand-foot-mouth disease (HFMD) is an acute intestinal virus infectious disease which is one of major public health problems in mainland China. Previous studies indicated that HFMD was significantly influenced by climatic factors, but the associated factors were different in different areas and few study on HFMD forecast models was conducted. Here, we analyzed epidemiological characteristics of HFMD in Yiwu City, Zhejiang Province and constructed three forecast models. Overall, a total of 32554 HFMD cases were reported and 12 cases deceased in Yiwu City, Zhejiang Province. The incidence of HFMD peaked every other year and the curve of HFMD incidence had an approximately W-shape. The majority of HFMD cases were children and 95.76% cases aged ≤5 years old from 2008 to 2016. Furthermore, we constructed and compared three forecast models using autoregressive integrated moving average (ARIMA) model, negative binomial regression model (NBM), and quasi-Poisson generalized additive model (GAM). All the three models had high agreements between predicted values and observed values, while GAM fitted best. The exposure-response curve of monthly mean temperature and HFMD was approximately V-shaped. Our study explored epidemiological characteristics of HFMD in Yiwu City and provided accurate methods for early warning which would be great importance for the control and prevention of HFMD.
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spelling pubmed-68217632019-11-05 Development and comparison of forecast models of hand-foot-mouth disease with meteorological factors Fu, Tao Chen, Ting Dong, Zhen-Bin Luo, Shu-Ying Miao, Ziping Song, Xiu-Ping Huang, Ru-Ting Sun, Ji-Min Sci Rep Article Hand-foot-mouth disease (HFMD) is an acute intestinal virus infectious disease which is one of major public health problems in mainland China. Previous studies indicated that HFMD was significantly influenced by climatic factors, but the associated factors were different in different areas and few study on HFMD forecast models was conducted. Here, we analyzed epidemiological characteristics of HFMD in Yiwu City, Zhejiang Province and constructed three forecast models. Overall, a total of 32554 HFMD cases were reported and 12 cases deceased in Yiwu City, Zhejiang Province. The incidence of HFMD peaked every other year and the curve of HFMD incidence had an approximately W-shape. The majority of HFMD cases were children and 95.76% cases aged ≤5 years old from 2008 to 2016. Furthermore, we constructed and compared three forecast models using autoregressive integrated moving average (ARIMA) model, negative binomial regression model (NBM), and quasi-Poisson generalized additive model (GAM). All the three models had high agreements between predicted values and observed values, while GAM fitted best. The exposure-response curve of monthly mean temperature and HFMD was approximately V-shaped. Our study explored epidemiological characteristics of HFMD in Yiwu City and provided accurate methods for early warning which would be great importance for the control and prevention of HFMD. Nature Publishing Group UK 2019-10-30 /pmc/articles/PMC6821763/ /pubmed/31666565 http://dx.doi.org/10.1038/s41598-019-52044-5 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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 images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Fu, Tao
Chen, Ting
Dong, Zhen-Bin
Luo, Shu-Ying
Miao, Ziping
Song, Xiu-Ping
Huang, Ru-Ting
Sun, Ji-Min
Development and comparison of forecast models of hand-foot-mouth disease with meteorological factors
title Development and comparison of forecast models of hand-foot-mouth disease with meteorological factors
title_full Development and comparison of forecast models of hand-foot-mouth disease with meteorological factors
title_fullStr Development and comparison of forecast models of hand-foot-mouth disease with meteorological factors
title_full_unstemmed Development and comparison of forecast models of hand-foot-mouth disease with meteorological factors
title_short Development and comparison of forecast models of hand-foot-mouth disease with meteorological factors
title_sort development and comparison of forecast models of hand-foot-mouth disease with meteorological factors
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6821763/
https://www.ncbi.nlm.nih.gov/pubmed/31666565
http://dx.doi.org/10.1038/s41598-019-52044-5
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