Author: Konstans Wells; Rodrigo K. Hamede; Menna E. Jones; Paul A. Hohenlohe; Andrew Storfer; Hamish I. McCallum
Title: Individual and temporal variation in pathogen load predicts long-term impacts of an emerging infectious disease Document date: 2018_8_15
ID: 5isns5ka_3
Snippet: Here we develop an individual-based model to explore the long-term impact of devil The copyright holder for this preprint (which was not peer-reviewed) is the . https://doi.org/10.1101/392324 doi: bioRxiv preprint 6 (~3 generations) after initial local disease emergence and that the time until death after initial 125 infection may be as long as two years (Wells et al. 2017 ). Therefore, despite high lethality, 126 the rate of epidemic increase ap.....
Document: Here we develop an individual-based model to explore the long-term impact of devil The copyright holder for this preprint (which was not peer-reviewed) is the . https://doi.org/10.1101/392324 doi: bioRxiv preprint 6 (~3 generations) after initial local disease emergence and that the time until death after initial 125 infection may be as long as two years (Wells et al. 2017 ). Therefore, despite high lethality, 126 the rate of epidemic increase appears to be relatively slow, prompting predictive modelling of 127 population level impacts over time spans well beyond those covered by field observations.
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