2 Matching Annotations
- Dec 2021
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www.medrxiv.org www.medrxiv.org
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Lai, J., German, J., Hong, F., Tai, S.-H. S., McPhaul, K. M., Milton, D. K., & Group, for the U. of M. S. R. (2021). Comparison of Saliva and Mid-Turbinate Swabs for Detection of COVID-19 (p. 2021.12.01.21267147). https://doi.org/10.1101/2021.12.01.21267147
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- Nov 2016
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journals.plos.org journals.plos.org
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Finally, by assuming the non-detection of a species to indicate absence from a given grid cell, we introduced an extra level of error into our models. This error depends on the probability of false absence given imperfect detection (i.e., the probability that a species was present but remained undetected in a given grid cell [73]): the higher this probability, the higher the risk of incorrectly quantifying species-climate relationships [73].
This will be an ongoing challenge for species distribution modeling, because most of the data appropriate for these purposes is not collected in such a way as to allow the straightforward application of standard detection probability/occupancy models. This could potentially be addressed by developing models for detection probability based on species and habitat type. These models could be built on smaller/different datasets that include the required data for estimating detectability.
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