Department of Epidemiology and Health Care Atlas, Central Research Institute of Ambulatory Health Care, Berlin, Germany.
Department of Epidemiology, Helmholtz Centre for Infection Research, Braunschweig, Germany.
Euro Surveill. 2022 Aug;27(32). doi: 10.2807/1560-7917.ES.2022.27.32.2101193.
IntroductionEvidence of nationwide and regional morbidity of Lyme borreliosis (LB) in Germany is lacking.AimsWe calculated the total number of incident LB cases in Germany in 2019, compared regional variations, investigated the extent of possible under-reporting in notification data and examined the association between high incidence areas and land cover composition.MethodsWe used outpatient claims data comprising information for people with statutory health insurance who visited a physician at least once between 2010 and 2019 in Germany (n = 71,411,504). The ICD-10 code A69.2 was used to identify incident LB patients. Spatial variations of LB were assessed by means of Global and Local Moran's Index at district level. Notification data were obtained for nine federal states with mandatory notification from the Robert Koch Institute (RKI).ResultsOf all insured, 128,177 were diagnosed with LB in 2019, corresponding to an incidence of 179 per 100,000 insured. The incidence varied across districts by a factor of 16 (range: 40-646 per 100,000). We identified four spatial clusters with high incidences. These clusters were associated with a significantly larger proportion of forests and agricultural areas than low incidence clusters. In 2019, 12,264 LB cases were reported to the RKI from nine federal states, while 69,623 patients with LB were found in claims data for those states. This difference varied considerably across districts.ConclusionsThese findings serve as a solid basis for regionally tailored population-based intervention programmes and can support modelling studies assessing the development of LB epidemiology under various climate change scenarios.
引言
德国缺乏全国和地区莱姆病(LB)发病率的证据。
目的
我们计算了 2019 年德国 LB 病例的总数,比较了区域差异,调查了报告数据中可能存在的漏报程度,并研究了高发地区与土地覆盖组成之间的关系。
方法
我们使用了门诊索赔数据,其中包含了 2010 年至 2019 年期间在德国至少看过一次医生的参加法定健康保险的人群的信息(n=71411504)。使用 ICD-10 代码 A69.2 来识别新发病例 LB 患者。采用全局和局部 Moran 指数在地区层面评估 LB 的空间变化。我们从罗伯特科赫研究所(RKI)获得了九个联邦州的强制性报告数据。
结果
在所有参保者中,2019 年有 128177 人被诊断患有 LB,发病率为每 10 万人 179 人。发病率在地区之间的差异高达 16 倍(范围:每 10 万人 40-646 人)。我们确定了四个发病率较高的空间集群。这些集群与森林和农业区的比例显著高于低发病率集群有关。2019 年,从九个联邦州向 RKI 报告了 12264 例 LB 病例,而在这些州的索赔数据中发现了 69623 例 LB 患者。这一差异在各地区之间差异很大。
结论
这些发现为基于地区的人群干预计划提供了坚实的基础,并可以支持评估在各种气候变化情景下 LB 流行病学发展的建模研究。