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Hence, we have to investigate the potential changes in values of model variables.
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Our analyses were based on both numerical simulations and the next generation matrix method, which was used to calculate R0 and to assess the sensitivity of R0 to changes in the values of model parameters [31] [33].
Statistical significance was judged by calculating the difference in -2LogLikelihod values of models using the maximum likelihood function (ML) with and without the factor.
In particular, for certain values of model parameters, the mean excitatory synaptic drive has an asymptotically stable equilibrium point.
Table 2 showed the mean values of model performance in dataset 1.
Modelling resulted in values of £10,000-£70,000 £10,000-£70,000
Additional sensitivity analyses explored the sensitivity of the base case scenario to changes in the values of key model parameters including the number of index cases, duration of infectious periods, and infectious contact rates.
Table 4. Search range, grid interval, and estimated value of model parameters in the grid search.
Co-efficient: estimated co-efficient of the predictor variable; R2 = co-efficient of determination; d.f: degrees of freedom in model; P value: significance of value of model; Significance: * = P < 0.05, ** = P < 0.005.
Figure 4 Changes in average values of covariance models after HEQ-MA.
The cost-effectiveness scatter plot demonstrates the high confi-dence in the input values of the model, which have resulted in a limited spread of results.
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