Author: Nicholas G Reich; Justin Lessler; Jay K Varma; Neil M Vora
Title: Quantifying the Risk and Cost of Active Monitoring for Infectious Diseases Document date: 2017_6_28
ID: h89scli5_17
Snippet: . CC-BY-NC-ND 4.0 International license is made available under a The copyright holder for this preprint (which was not peer-reviewed) is the author/funder. It . https://doi.org/10.1101/156497 doi: bioRxiv preprint Incorporating these probabilities into our model, for each pathogen we calculated the probability of symptomatic illness developing in an individual after they were no longer being actively monitored. To standardize the results across .....
Document: . CC-BY-NC-ND 4.0 International license is made available under a The copyright holder for this preprint (which was not peer-reviewed) is the author/funder. It . https://doi.org/10.1101/156497 doi: bioRxiv preprint Incorporating these probabilities into our model, for each pathogen we calculated the probability of symptomatic illness developing in an individual after they were no longer being actively monitored. To standardize the results across diseases, we present the risk estimates across a range of different active monitoring period durations, shown as multiples of the median incubation period for each disease (Figure 3) .
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