Clough Helen E, Fenton Sarah E, French Nigel P, Miller Alexander J, Cook Alasdair J C
National Centre for Zoonosis Research, Leahurst, University of Liverpool, Liverpool CH64 7TE, UK.
Prev Vet Med. 2009 May 1;89(1-2):67-74. doi: 10.1016/j.prevetmed.2009.01.008. Epub 2009 Mar 19.
Salmonella spp. are important food-borne pathogens. Abattoir studies demonstrated that almost a quarter of British finisher pigs might carry Salmonella, which led to the introduction by the British Pig Executive of their Zoonoses Action Plan (ZAP) to monitor the Salmonella status of United Kingdom pig farms by testing meat juice samples using an ELISA system. We used the K-function and approaches from the field of geostatistics to study routine data from ZAP. We demonstrated that there is statistical evidence that geographically localized anomalies of Salmonella infection were present in one of three regions studied. The physical mechanisms underlying this structure remain unclear: spatial structure might be present as a result of shared spatially structured (second-order) or non-spatially structured (first-order) risk factors, transmission processes, or a combination of both. We have demonstrated a way to use routinely collected surveillance data to enhance the knowledge of spatial disease epidemiology.
沙门氏菌属是重要的食源性病原体。屠宰场研究表明,近四分之一的英国育肥猪可能携带沙门氏菌,这促使英国养猪管理局出台了人畜共患病行动计划(ZAP),通过使用酶联免疫吸附测定(ELISA)系统检测肉汁样本,来监测英国养猪场的沙门氏菌感染状况。我们运用K函数和地统计学领域的方法,对人畜共患病行动计划的常规数据进行研究。我们证明,有统计证据表明,在所研究的三个地区之一存在沙门氏菌感染的地理局部异常情况。这种结构背后的物理机制仍不清楚:空间结构可能是由于共享的空间结构(二阶)或非空间结构(一阶)风险因素、传播过程或两者的组合而存在。我们展示了一种利用常规收集的监测数据来增强对空间疾病流行病学认识的方法。