【摘 要】
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It is only possible to describe,understand and predict the transmission of an infection if sufficient data are available.The incidence (the number of new in
【机 构】
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University of Antwerp,Evolutionary Ecology Group,Antwerp,Belgium
【出 处】
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The 5th International Conference on Rodent Biology and Manag
论文部分内容阅读
It is only possible to describe,understand and predict the transmission of an infection if sufficient data are available.The incidence (the number of new infections per time unit) is a pivotal epidemiological measure to study infectious disease occurrence.However,the efforts required to frequently sample a large subset of a population can be too demanding to obtain reliable incidence data.For instance,for infections in rodent populations,time and logistics efforts of capture-mark-recapture fieldwork often result in a lower than optimal sample size and sampling frequency,and a low-resolution longitudinal dataset.Serological data may provide opportunities to improve this.When per-host antibody or infectious agent quantities vary over time in a predictable manner,the quantity at a given time can be used to back-calculate the time since infection,thereby strongly increasing the temporal resolution of the data.Using Morogoro virus infection in Mastomys natalensis in a standard monthly capture-mark-recapture setting as a case study,we show how this method can significantly improve the quality of incidence data without additional sampling.
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