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Beyond Infection: Integrating Competence into Reservoir Host Prediction.
Trends in Ecology & Evolution ( IF 16.8 ) Pub Date : 2020-09-11 , DOI: 10.1016/j.tree.2020.08.014
Daniel J Becker 1 , Stephanie N Seifert 2 , Colin J Carlson 3
Affiliation  

Most efforts to predict novel reservoirs of zoonotic pathogens use information about host exposure and infection rather than competence, defined as the ability to transmit pathogens. Better obtaining and integrating competence data into statistical models as covariates, as the response variable, and through postmodel validation should improve predictive research.



中文翻译:

超越感染:将能力整合到储层宿主预测中。

预测人畜共患病原体新储库的大多数工作都使用有关宿主暴露和感染的信息,而不是能力,即传播病原体的能力。更好地获得能力数据并将其作为协变量,响应变量并通过后模型验证整合到统计模型中,应该可以改善预测性研究。

更新日期:2020-11-18
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