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The variable "survey" was included in the prevalence model and represents the possible time-related variables not covered by the parameters included in the vector density and prevalence analyses.
The model was adjusted for the same confounders as in the pain prevalence model.
For further information on the Dementia Prevalence Model, including a sensitivity analysis, see [ 2][ 14].
We used the prevalence model in SeqSIMLA to simulate the disease status.
In the prevalence model, the odds ratios for the disease loci and disease prevalence were specified.
We carried out this study to create a prevalence model for CKD.
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All prevalence modeling analyses were based on zero-adjusted Bray-Curtis similarity matrices [47] and conducted in PRIMER v6 [48] and PERMANOVA+ [45].
Each of these fatty acid exposures were categorized in quartiles for prevalence models.
We've attempted to account for these differences with covariates in the parasite prevalence models; a restricted randomization would have been a more robust design.
Hence, using network-based behavior prevalence models is crucial for obtaining more accurate predictions about disease spread, evaluating different control measures and developing appropriate vaccination policies.
The estimated within-postcode correlations in the disease prevalence models were negligible (<0.012 in absolute value in all cases), suggesting little benefit in estimating this additional parameter.
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