Simulation Study of the Effect of Influenza and Influenza Vaccination on Risk of Acquiring Guillain-Barré Syndrome
Steven Hawken, Jeffrey C. Kwong, Shelley L. Deeks, Natasha S. Crowcroft, Allison McGeer, Robin Ducharme, Michael A. Campitelli, Doug Coyle, and Kumanan Wilson
Author affiliations: Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada (S. Hawken, J.C. Kwong, R. Ducharme, M.A. Campitelli, K. Wilson); Ottawa Hospital Research Institute, Ottawa, Ontario, Canada (S. Hawken, R. Ducharme, K. Wilson); University of Ottawa, Ottawa (S. Hawken, D. Coyle, K. Wilson); Public Health Ontario, Toronto (J.C. Kwong, S.L. Deeks, N.S. Crowcroft); Dalla Lana School of Public Health, University of Toronto, Toronto (J.C. Kwong, S.L. Deeks, N.S. Crowcroft, A.J. McGeer); University of Toronto, Toronto (J.C. Kwong, N.S. Crowcroft, A.J. McGeer)
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Figure 2
Figure 2. Sensitivity analyses for the excess risk of Guillain-Barré syndrome (GBS) per 1,000,000 influenza vaccinations. A) 45-year-old woman, assuming a 10% influenza incidence rate, 61% vaccine effectiveness, and combined relative risk (RR) of GBS of 17.33. B) 75-year-old man, assuming a 10% influenza incidence rate, vaccine effectiveness of 50% and combined RR of GBS of 17.33. Depending on the joint distribution of the probabilistic inputs to the simulation, these deterministic sensitivity analyses will not necessarily yield identical mean/median estimates to those from the probabilistic simulation for the same age, sex, and influenza incidence rate.
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