Skip to main content
. 2016 Aug 18;4:e2337. doi: 10.7717/peerj.2337

Table 2. Characteristics and summary statistics of the main experiment and sensitivity analyses.

Description of parameter(s) alterations ORI rate in 10–14 age groupa per model run- years Outbreak rate in all agesb per model run-years Outbreak rate in under 1b per model run-years Outbreak rate in 10–14 age groupb per model run- years Comparability with benchmark cumulative incidencec
Main experiment Reference 0.038 0.315 0.075 0.129 Yes
Sensitivity analysis A Increase vaccine coverage for dose 7 by 20% 0.037 0.315 0.080 0.127 Yes
Sensitivity analysis B Increase value of (τ) to 3 among those born before 1997 0.039 0.323 0.075 0.127 Yes
Sensitivity analysis C Increase value of (α) to 10 0.040 0.341 0.082 0.135 Yes
Sensitivity analysis D Restrict ORI eligibility to those who did not receive vaccine within last 6 months 0.036 0.324 0.078 0.129 Yes
Sensitivity analysis E Implement stronger vaccine boosting effect 0.005 0.047 0.013 0.021 No
Sensitivity analysis F Multi-way sensitivity analysis B and C combined 0.025 0.325 0.083 0.129 Yes

Notes.

a

ORI rate is computed by dividing the number of triggered ORIs by the product of a total number of simulation runs in a given experiment and 30 years in each run. Reciprocal of the ORI rate represents mean time between occurrences of triggering ORIs; for example, the rate of 0.038 per model run-years in the main experiment indicates that ORI in the 10–14 age group was triggered every 26 years in the model (1∕0.038 = 26.3).

b

Outbreak rate is computed by dividing the number of outbreaks within a specified age group (or when judged with respect to all age groups) by the product of a total number of simulation runs in a given experiment and 30 years in each run. Reciprocal of the outbreak rate represents the mean period between outbreaks occurring within a given age group; for example, the rate of 0.315 per model run-years in the main experiment indicates that outbreaks in all age groups were occurring every 3 years in the model (1∕0.315 = 3.17).

c

Comparability with benchmark cumulative incidence was defined as model-generated 30-years cumulative incidence rate falling within 10% of the average empirical cumulative incidence rate derived from 15 years of observations in two jurisdictions in Alberta (15 years of observations were up-scaled to derive 30-year cumulative incidence).