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Burden of Disease Measured by Disability-Adjusted Life Years and a Disease Forecasting Time Series Model of Scrub Typhus in Laiwu, China
BACKGROUND: Laiwu District is recognized as a hyper-endemic region for scrub typhus in Shandong Province, but the seriousness of this problem has been neglected in public health circles. METHODOLOGY/PRINCIPAL FINDINGS: A disability-adjusted life years (DALYs) approach was adopted to measure the burd...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4288724/ https://www.ncbi.nlm.nih.gov/pubmed/25569248 http://dx.doi.org/10.1371/journal.pntd.0003420 |
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author | Yang, Li-Ping Liang, Si-Yuan Wang, Xian-Jun Li, Xiu-Jun Wu, Yan-Ling Ma, Wei |
author_facet | Yang, Li-Ping Liang, Si-Yuan Wang, Xian-Jun Li, Xiu-Jun Wu, Yan-Ling Ma, Wei |
author_sort | Yang, Li-Ping |
collection | PubMed |
description | BACKGROUND: Laiwu District is recognized as a hyper-endemic region for scrub typhus in Shandong Province, but the seriousness of this problem has been neglected in public health circles. METHODOLOGY/PRINCIPAL FINDINGS: A disability-adjusted life years (DALYs) approach was adopted to measure the burden of scrub typhus in Laiwu, China during the period 2006 to 2012. A multiple seasonal autoregressive integrated moving average model (SARIMA) was used to identify the most suitable forecasting model for scrub typhus in Laiwu. Results showed that the disease burden of scrub typhus is increasing yearly in Laiwu, and which is higher in females than males. For both females and males, DALY rates were highest for the 60–69 age group. Of all the SARIMA models tested, the SARIMA(2,1,0)(0,1,0)(12) model was the best fit for scrub typhus cases in Laiwu. Human infections occurred mainly in autumn with peaks in October. CONCLUSIONS/SIGNIFICANCE: Females, especially those of 60 to 69 years of age, were at highest risk of developing scrub typhus in Laiwu, China. The SARIMA (2,1,0)(0,1,0)(12) model was the best fit forecasting model for scrub typhus in Laiwu, China. These data are useful for developing public health education and intervention programs to reduce disease. |
format | Online Article Text |
id | pubmed-4288724 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-42887242015-01-12 Burden of Disease Measured by Disability-Adjusted Life Years and a Disease Forecasting Time Series Model of Scrub Typhus in Laiwu, China Yang, Li-Ping Liang, Si-Yuan Wang, Xian-Jun Li, Xiu-Jun Wu, Yan-Ling Ma, Wei PLoS Negl Trop Dis Research Article BACKGROUND: Laiwu District is recognized as a hyper-endemic region for scrub typhus in Shandong Province, but the seriousness of this problem has been neglected in public health circles. METHODOLOGY/PRINCIPAL FINDINGS: A disability-adjusted life years (DALYs) approach was adopted to measure the burden of scrub typhus in Laiwu, China during the period 2006 to 2012. A multiple seasonal autoregressive integrated moving average model (SARIMA) was used to identify the most suitable forecasting model for scrub typhus in Laiwu. Results showed that the disease burden of scrub typhus is increasing yearly in Laiwu, and which is higher in females than males. For both females and males, DALY rates were highest for the 60–69 age group. Of all the SARIMA models tested, the SARIMA(2,1,0)(0,1,0)(12) model was the best fit for scrub typhus cases in Laiwu. Human infections occurred mainly in autumn with peaks in October. CONCLUSIONS/SIGNIFICANCE: Females, especially those of 60 to 69 years of age, were at highest risk of developing scrub typhus in Laiwu, China. The SARIMA (2,1,0)(0,1,0)(12) model was the best fit forecasting model for scrub typhus in Laiwu, China. These data are useful for developing public health education and intervention programs to reduce disease. Public Library of Science 2015-01-08 /pmc/articles/PMC4288724/ /pubmed/25569248 http://dx.doi.org/10.1371/journal.pntd.0003420 Text en © 2015 Yang et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Yang, Li-Ping Liang, Si-Yuan Wang, Xian-Jun Li, Xiu-Jun Wu, Yan-Ling Ma, Wei Burden of Disease Measured by Disability-Adjusted Life Years and a Disease Forecasting Time Series Model of Scrub Typhus in Laiwu, China |
title | Burden of Disease Measured by Disability-Adjusted Life Years and a Disease Forecasting Time Series Model of Scrub Typhus in Laiwu, China |
title_full | Burden of Disease Measured by Disability-Adjusted Life Years and a Disease Forecasting Time Series Model of Scrub Typhus in Laiwu, China |
title_fullStr | Burden of Disease Measured by Disability-Adjusted Life Years and a Disease Forecasting Time Series Model of Scrub Typhus in Laiwu, China |
title_full_unstemmed | Burden of Disease Measured by Disability-Adjusted Life Years and a Disease Forecasting Time Series Model of Scrub Typhus in Laiwu, China |
title_short | Burden of Disease Measured by Disability-Adjusted Life Years and a Disease Forecasting Time Series Model of Scrub Typhus in Laiwu, China |
title_sort | burden of disease measured by disability-adjusted life years and a disease forecasting time series model of scrub typhus in laiwu, china |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4288724/ https://www.ncbi.nlm.nih.gov/pubmed/25569248 http://dx.doi.org/10.1371/journal.pntd.0003420 |
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