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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

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          Abstract

          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.

          Author Summary

          Scrub typhus, also known as tsutsugamushi disease, is a zoonosis transmitted by chigger bites (larval trombiculid mites) and the pathogen Orientia tsutsugamushi (O. tsutsugamushi), a Gram-negative obligate intracellular bacterium. It is distributed widely in the Pacific regions of Asia, and the islands of the western Pacific and Indian Oceans. People with outdoor activities that involve contact with grasses or shrubs are at highest risk. Scrub typhus has existed in Southern China for thousands of years, but it has been noted to spread from the South to the North of China in recent decades. Though this research we studied the disease burden of scrub typhus with disability-adjusted life years (DALYs), and developed a forecasting time series model for human clinical disease in Laiwu, China. Results demonstrated that the disease burden of scrub typhus was increasing year by year in Laiwu, and it was higher in females than males. Moreover, DALY rates in females and males were highest for persons in the 60–69 years age group. Of all the seasonal autoregressive integrated moving average (SARIMA) models tested, the SARIMA(2,1,0)(0,1,0) 12 model was the best fit for scrub typhus cases in Laiwu. The disease occurred mainly in autumn, with a peak in October.

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          Most cited references29

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          A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010

          The Lancet, 380(9859), 2224-2260
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            Quantifying the burden of disease: the technical basis for disability-adjusted life years.

            C. Murray (1994)
            Detailed assumptions used in constructing a new indicator of the burden of disease, the disability-adjusted life year (DALY), are presented. Four key social choices in any indicator of the burden of disease are carefully reviewed. First, the advantages and disadvantages of various methods of calculating the duration of life lost due to a death at each age are discussed. DALYs use a standard expected-life lost based on model life-table West Level 26. Second, the value of time lived at different ages is captured in DALYs using an exponential function which reflects the dependence of the young and the elderly on adults. Third, the time lived with a disability is made comparable with the time lost due to premature mortality by defining six classes of disability severity. Assigned to each class is a severity weight between 0 and 1. Finally, a three percent discount rate is used in the calculation of DALYs. The formula for calculating DALYs based on these assumptions is provided.
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              Scrub typhus: the geographic distribution of phenotypic and genotypic variants of Orientia tsutsugamushi.

              Orientia tsutsugamushi is the etiological agent of scrub typhus, an acute, mite-borne, febrile illness that occurs in the Asia-Pacific region. Historically, strain characterization used serological analysis and revealed dramatic antigenic diversity. Eyeing a recommendation of potential vaccine candidates for broad protection, we review geographic diversity and serological and DNA prevalences. DNA analysis together with immunological analysis suggest that the prototype Karp strain and closely related strains are the most common throughout the region of endemicity. According to serological analysis, approximately 50% of isolates are seroreactive to Karp antisera, and approximately one-quarter of isolates are seroreactive to antisera against the prototype Gilliam strain. Molecular methods reveal greater diversity. By molecular methods, strains phylogenetically similar to Karp make up approximately 40% of all genotyped isolates, followed by the JG genotype group (Japan strains serotypically similar to the Gilliam strain but genetically non-Gilliam; 18% of all genotyped isolates). Three other genotype groups (Kato-related, Kawasaki-like, and TA763-like) each represent approximately 10% of genotyped isolates. Strains genetically similar to the Gilliam strain make up only 5% of isolates. Strains from these groups should be included in any potential vaccine.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS Negl Trop Dis
                PLoS Negl Trop Dis
                plos
                plosntds
                PLoS Neglected Tropical Diseases
                Public Library of Science (San Francisco, USA )
                1935-2727
                1935-2735
                January 2015
                8 January 2015
                : 9
                : 1
                : e3420
                Affiliations
                [1 ]Department of Epidemiology and Health Statistics, School of Public Health, Shandong University, Jinan, Shandong, People's Republic of China
                [2 ]Shandong Center for Disease Control and Prevention, Jinan, Shandong, People's Republic of China
                Institut Pasteur, France
                Author notes

                The authors have declared that no competing interests exist.

                Conceived and designed the experiments: LPY SYL XJW XJL YLW WM. Performed the experiments: LPY SYL. Analyzed the data: LPY SYL. Contributed reagents/materials/analysis tools: XJW. Wrote the paper: LPY SYL XJW XJL YLW WM.

                Article
                PNTD-D-14-00898
                10.1371/journal.pntd.0003420
                4288724
                25569248
                fc030308-e1ff-426f-a53a-2b1f33b21770
                Copyright @ 2015

                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 credited.

                History
                : 27 May 2014
                : 15 November 2014
                Page count
                Pages: 9
                Funding
                The study was designed by the National Basic Research Program of China (973 Program http://124.127.202.241/Share/index.jsp, No. 2012CB955502) received by WM. Data collection and analysis, preparation of the manuscript were supported by the funds of Independent Innovation Foundation of Shandong University (No. 2012TS087) and Youth Innovation Foundation of School of Public health, Shandong University (No. 201101) which were received by LPY.
                Categories
                Research Article
                Biology and Life Sciences
                Plant Science
                Plant Pathology
                Infectious Disease Epidemiology
                Medicine and Health Sciences
                Epidemiology
                Custom metadata
                The authors confirm that all data underlying the findings are fully available without restriction. The disease data are available from Shandong Center for Disease Control and Prevention Data Access for researchers who meet the criteria for access to confidential data. (tel: 86-531-82679681).

                Infectious disease & Microbiology
                Infectious disease & Microbiology

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