2007 - 2011年荷兰32种传染病的疾病负担
Disease Burden of 32 Infectious Diseases in the Netherlands, 2007-2011.
作者信息
van Lier Alies, McDonald Scott A, Bouwknegt Martijn, Kretzschmar Mirjam E, Havelaar Arie H, Mangen Marie-Josée J, Wallinga Jacco, de Melker Hester E
机构信息
Centre for Infectious Disease Control, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands.
Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht (UMCU), Utrecht, The Netherlands.
出版信息
PLoS One. 2016 Apr 20;11(4):e0153106. doi: 10.1371/journal.pone.0153106. eCollection 2016.
BACKGROUND
Infectious disease burden estimates provided by a composite health measure give a balanced view of the true impact of a disease on a population, allowing the relative impact of diseases that differ in severity and mortality to be monitored over time. This article presents the first national disease burden estimates for a comprehensive set of 32 infectious diseases in the Netherlands.
METHODS AND FINDINGS
The average annual disease burden was computed for the period 2007-2011 for selected infectious diseases in the Netherlands using the disability-adjusted life years (DALY) measure. The pathogen- and incidence-based approach was adopted to quantify the burden due to both morbidity and premature mortality associated with all short and long-term consequences of infection. Natural history models, disease progression probabilities, disability weights, and other parameters were adapted from previous research. Annual incidence was obtained from statutory notification and other surveillance systems, which was corrected for under-ascertainment and under-reporting. The highest average annual disease burden was estimated for invasive pneumococcal disease (9444 DALYs/year; 95% uncertainty interval [UI]: 8911-9961) and influenza (8670 DALYs/year; 95% UI: 8468-8874), which represents 16% and 15% of the total burden of all 32 diseases, respectively. The remaining 30 diseases ranked by number of DALYs/year from high to low were: HIV infection, legionellosis, toxoplasmosis, chlamydia, campylobacteriosis, pertussis, tuberculosis, hepatitis C infection, Q fever, norovirus infection, salmonellosis, gonorrhoea, invasive meningococcal disease, hepatitis B infection, invasive Haemophilus influenzae infection, shigellosis, listeriosis, giardiasis, hepatitis A infection, infection with STEC O157, measles, cryptosporidiosis, syphilis, rabies, variant Creutzfeldt-Jakob disease, tetanus, mumps, rubella, diphtheria, and poliomyelitis. The very low burden for the latter five diseases can be attributed to the National Immunisation Programme. The average disease burden per individual varied from 0.2 (95% UI: 0.1-0.4) DALYs per 100 infections for giardiasis, to 5081 and 3581 (95% UI: 3540-3611) DALYs per 100 infections for rabies and variant Creutzfeldt-Jakob disease, respectively.
CONCLUSIONS
For guiding and supporting public health policy decisions regarding the prioritisation of interventions and preventive measures, estimates of disease burden and the comparison of burden between diseases can be informative. Although the collection of disease-specific parameters and estimation of incidence is a process subject to continuous improvement, the current study established a baseline for assessing the impact of future public health initiatives.
背景
通过综合健康指标得出的传染病负担估计值能全面反映一种疾病对人群的真实影响,有助于监测不同严重程度和死亡率的疾病随时间推移的相对影响。本文呈现了荷兰32种传染病综合数据集的首份全国疾病负担估计值。
方法与结果
采用伤残调整生命年(DALY)指标计算了2007 - 2011年荷兰部分选定传染病的年均疾病负担。采用基于病原体和发病率的方法来量化与感染的所有短期和长期后果相关的发病和过早死亡所导致的负担。自然史模型、疾病进展概率、伤残权重及其他参数均借鉴了以往研究。年发病率来自法定报告和其他监测系统,并针对漏报和少报情况进行了校正。侵袭性肺炎球菌疾病的年均疾病负担估计最高(9444 DALYs/年;95%不确定区间[UI]:8911 - 9961),其次是流感(8670 DALYs/年;95% UI:8468 - 8874),分别占32种疾病总负担的16%和15%。其余30种疾病按DALYs/年数量从高到低依次为:艾滋病毒感染、军团菌病、弓形虫病、衣原体感染、弯曲菌病、百日咳、结核病、丙型肝炎感染、Q热、诺如病毒感染、沙门氏菌病、淋病、侵袭性脑膜炎球菌病、乙型肝炎感染、侵袭性流感嗜血杆菌感染、志贺氏菌病、李斯特菌病、贾第虫病、甲型肝炎感染、产志贺毒素大肠杆菌O157感染、麻疹、隐孢子虫病、梅毒、狂犬病、变异型克雅氏病、破伤风、腮腺炎、风疹、白喉和脊髓灰质炎。后五种疾病负担极低可归因于国家免疫规划。每种疾病每100例感染的平均疾病负担各不相同,贾第虫病为每100例感染0.2(95% UI:0.1 - 0.4)DALYs,狂犬病和变异型克雅氏病分别为每100例感染5081和3581(95% UI:3540 - 3611)DALYs。
结论
疾病负担估计值以及不同疾病负担之间的比较对于指导和支持公共卫生政策决策,确定干预措施和预防措施的优先次序具有参考价值。尽管特定疾病参数的收集和发病率估计是一个不断改进的过程,但本研究为评估未来公共卫生举措的影响奠定了基础。
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