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孟加拉国高致病性禽流感 H5N1 暴发的风险因素和聚集情况。

Risk factors and clusters of Highly Pathogenic Avian Influenza H5N1 outbreaks in Bangladesh.

机构信息

Food and Agriculture Organization of the United Nations, Dhaka 1215, Bangladesh.

出版信息

Prev Vet Med. 2010 Aug 1;96(1-2):104-13. doi: 10.1016/j.prevetmed.2010.05.013. Epub 2010 Jun 15.

Abstract

Between March 2007 and July 2009, 325 Highly Pathogenic Avian Influenza (HPAI, subtype H5N1) outbreaks in poultry were reported in 154 out of a total of 486 sub-districts in Bangladesh. This study analyzed the temporal and spatial patterns of HPAI H5N1 outbreaks and quantified the relationship between several spatial risk factors and HPAI outbreaks in sub-districts in Bangladesh. We assessed spatial autocorrelation and spatial dependence, and identified clustering sub-districts with disease statistically similar to or dissimilar from their neighbors. Three significant risk factors associated to HPAI H5N1 virus outbreaks were identified; the quadratic log-transformation of human population density [humans per square kilometer, P=0.01, OR 1.15 (95% CI: 1.03-1.28)], the log-transformation of the total commercial poultry population [number of commercial poultry per sub-district, P<0.002, OR 1.40 (95% CI: 1.12-1.74)], and the number of roads per sub-district [P=0.02, OR 1.07 (95% CI: 1.01-1.14)]. The distinct clusters of HPAI outbreaks and risk factors identified could assist the Government of Bangladesh to target surveillance and to concentrate response efforts in areas where disease is likely to occur. Concentrating response efforts may help to combat HPAI more effectively, reducing the environmental viral load and so reducing the number of disease incidents.

摘要

2007 年 3 月至 2009 年 7 月期间,孟加拉国 486 个分区中有 154 个分区报告了 325 起高致病性禽流感(HPAI,H5N1 亚型)疫情。本研究分析了 HPAI H5N1 疫情的时空模式,并量化了几个空间风险因素与孟加拉国分区内 HPAI 疫情之间的关系。我们评估了空间自相关和空间依赖性,并确定了具有与相邻地区疾病在统计学上相似或不同的聚类分区。确定了与 HPAI H5N1 病毒疫情相关的三个重要风险因素;人口密度的二次对数转换[每平方公里的人数,P=0.01,比值比(OR)为 1.15(95%置信区间:1.03-1.28)],商业家禽总数的对数转换[每分区的商业家禽数量,P<0.002,OR 为 1.40(95%置信区间:1.12-1.74)],以及每个分区的道路数量[P=0.02,OR 为 1.07(95%置信区间:1.01-1.14)]。确定的 HPAI 疫情和风险因素的明显聚类可能有助于孟加拉国政府针对监测目标,并将应对工作集中在疾病可能发生的地区。集中应对工作可能有助于更有效地对抗 HPAI,减少环境病毒载量,从而减少疾病事件的数量。

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