Willeberg Preben, Perez Andres, Thurmond Mark, Ascher Mike, Carpenter Tim, AlKhamis Mohammad
Center for Animal Disease Modeling and Surveillance (CADMS), School of Veterinary Medicine, One Shields Avenue, University of California, Davis, CA 95616, USA.
Avian Dis. 2010 Mar;54(1 Suppl):433-9. doi: 10.1637/8820-040209-Reg.1.
Infection with highly pathogenic avian influenza virus H5N1 occurred for the first time in Denmark in 2006 during the last part of the European epidemic that mainly affected migrating wild birds. The total number of Danish wild bird cases was 45, of which only one was found through active surveillance using fecal sampling from resting areas for migrating species, whereas passive surveillance of dead wild birds provided 44 cases. One backyard, mixed poultry flock also became infected late in the epidemic. This study describes the spatial and temporal distribution of cases, initially characterized by a spatial-temporal cluster of affected tufted ducks that led to further spread to other wild bird species in the vicinity. The surveillance data also indicate an apparent die-off of the regional epidemic. As a tool in visualizing the spatial and temporal development of the epidemic, a prototype avian influenza (AI) BioPortal was used to provide online web-based access to the data. The AI BioPortal tools include mapping, graphing, phylogenetic tree construction, playback scenarios, and visualization of results of temporal-spatial analyses. Several of the features of this surveillance system compare favorably to the design of existing national and international surveillance information systems, and the AI BioPortal may become a useful tool for disease surveillance and for decision support in the event of future AI epidemics, both at national and international levels.
2006年,高致病性禽流感病毒H5N1在丹麦首次出现,当时正值欧洲疫情的最后阶段,主要影响候鸟。丹麦野生鸟类病例总数为45例,其中只有1例是通过对候鸟休息区粪便样本进行主动监测发现的,而对死亡野生鸟类的被动监测发现了44例。一个后院的混合家禽群也在疫情后期受到感染。本研究描述了病例的时空分布,最初表现为受感染的凤头潜鸭的时空聚集,随后导致附近其他野生鸟类物种的进一步传播。监测数据还表明该地区疫情明显消退。作为可视化疫情时空发展的工具,一个禽流感(AI)生物门户网站原型被用于提供基于网络的在线数据访问。AI生物门户网站工具包括绘图、制图、系统发育树构建、回放场景以及时空分析结果的可视化。该监测系统的几个特点优于现有国家和国际监测信息系统的设计,并且AI生物门户网站可能成为未来国家和国际层面禽流感疫情疾病监测和决策支持的有用工具。