Early detection of wildlife morbidity and mortality through an event-based surveillance system.
Early detection of wildlife morbidity and mortality through an event-based surveillance system.
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DOI：
10.1098/rspb.2021.0974
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发表时间：
2021-07-14
期刊：
影响因子：
--
通讯作者：
Johnson CK
中科院分区：
文献类型：
--
作者：
Kelly TR;Pandit PS;Carion N;Dombrowski DF;Rogers KH;McMillin SC;Clifford DL;Riberi A;Ziccardi MH;Donnelly-Greenan EL;Johnson CK
快速发现和应对野生动物发病和死亡事件的能力对于减少对野生动物种群的威胁至关重要。使用诊断前临床数据的监测系统可有助于早期发现由多种威胁（包括疾病和人为干扰）引起的野生动物发病率。在这里，我们展示了使用野生动物疾病监测系统的概念证明，即“野生动物发病率和死亡率事件警报系统”，该系统集成了来自野生动物康复组织网络的近乎实时的诊断前临床数据，用于早期和增强对异常野生动物发病率和死亡率事件的检测。该系统基于自然语言处理算法将临床预诊断数据分类为相关的临床分类，当整个康复网络中记录的病例超过预期数量时产生警报。我们证明了该系统在预警与常见疾病和新发疾病相关事件方面的有效性和效率。利用这种现成的非常规一般监测数据流，通过一种相对有效、低成本的早期发现威胁战略，为现有野生动物疾病监测规划提供了附加价值。
The ability to rapidly detect and respond to wildlife morbidity and mortality events is critical for reducing threats to wildlife populations. Surveillance systems that use pre-diagnostic clinical data can contribute to the early detection of wildlife morbidities caused by a multitude of threats, including disease and anthropogenic disturbances. Here, we demonstrate proof of concept for use of a wildlife disease surveillance system, the ‘Wildlife Morbidity and Mortality Event Alert System’, that integrates pre-diagnostic clinical data in near real-time from a network of wildlife rehabilitation organizations, for early and enhanced detection of unusual wildlife morbidity and mortality events. The system classifies clinical pre-diagnostic data into relevant clinical classifications based on a natural language processing algorithm, generating alerts when more than the expected number of cases is recorded across the rehabilitation network. We demonstrated the effectiveness and efficiency of the system in alerting to events associated with both common and emerging diseases. Tapping into this readily available unconventional general surveillance data stream offers added value to existing wildlife disease surveillance programmes through a relatively efficient, low-cost strategy for the early detection of threats.
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影响因子：
3.7
作者：
Cox-Witton K;Reiss A;Woods R;Grillo V;Baker RT;Blyde DJ;Boardman W;Cutter S;Lacasse C;McCracken H;Pyne M;Smith I;Vitali S;Vogelnest L;Wedd D;Phillips M;Bunn C;Post L
通讯作者：
Post L
影响因子：
5.9
作者：
Murray, Kris A.;Daszak, Peter
通讯作者：
Daszak, Peter
影响因子：
2.3
作者：
Atwood, Todd C.;Vercauteren, Kurt C.;Stevenson, Justin S.
通讯作者：
Stevenson, Justin S.
影响因子：
64.8
作者：
Jones KE;Patel NG;Levy MA;Storeygard A;Balk D;Gittleman JL;Daszak P
通讯作者：
Daszak P
影响因子：
2.7
作者：
Daszak, P;Cunningham, AA;Hyatt, AD
通讯作者：
Hyatt, AD