首页> 美国卫生研究院文献>Epidemiology and Infection >Spatial distribution patterns of Echinococcus multilocularis (Leuckart 1863) (Cestoda: Cyclophyllidea: Taeniidae) among red foxes in an endemic focus in Brandenburg Germany.
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Spatial distribution patterns of Echinococcus multilocularis (Leuckart 1863) (Cestoda: Cyclophyllidea: Taeniidae) among red foxes in an endemic focus in Brandenburg Germany.

机译:在德国勃兰登堡州的一个地方性重点的狐狸中Echinococcus multilocularis(Leuckart 1863)(Cestoda:Cyclophyllidea:Taeniidae)的空间分布格局。

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摘要

Over a period of 40 months, 4374 foxes were randomly sampled from an area located in northwestern Brandenburg, Germany, and examined parasitologically for infections with Echinococcus multilocularis. Spatial analysis of the origin of infected animals identified two (one central and one southeastern) high-endemic foci with an estimated prevalence of 23.8%. By contrast, a prevalence of 4.9% was found in the remaining (low-endemic) area. The prevalences among juvenile and adult foxes were compared in the high-endemic and the low-endemic areas. To analyse the central high-endemic focus further, the random sample was stratified by zones representing concentric circles with a radius of 13 km (zone 1) or x(n-1) + 7 km for the remaining three zones from the apparent centre of this focus (anchor point). Prevalences calculated for each zone showed a decrease from zone 1 (18.8%) to zone 4 (2.4%) with significant differences for all zones but zones 3 and 4. The relative risk of an infection decreased rapidly in a distance range of 26 km around the high-endemic focus, whereas the relative risk remained unchanged within a distance of 5 km around the anchor point. The importance of heterogeneous spatial distribution patterns for the diagnosis and epidemiology of the infection is discussed.
机译:在40个月的时间里,从位于德国勃兰登堡州西北部的一个地区随机取样了4374只狐狸,并进行了寄生虫学检查,发现多叶棘球E虫感染。对受感染动物起源的空间分析确定了两个(一个中央和一个东南部)高流行病灶,估计患病率为23.8%。相比之下,在其余(低流行)地区发现该病的患病率为4.9%。在高流行地区和低流行地区比较了幼狐和成年狐狸的患病率。为了进一步分析中心的高端流行病重点,随机样本通过代表半径为13 km(区域1)或x(n-1)+ 7 km的同心圆的区域进行分层,其中三个区域距表观中心点这个重点(锚点)。计算得出的每个区域的患病率均从区域1(18.8%)下降至区域4(2.4%),除区域3和4以外的所有区域都有显着差异。在26 km左右的范围内,感染的相对风险迅速降低高流行病重点,而相对风险在锚点周围5 km的范围内保持不变。讨论了异构空间分布模式对于感染的诊断和流行病学的重要性。

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