Fig 1.
Household size distribution (median and 2.5–97.5 quantiles) of simulated data (blue) and Indigenous communities household size distribution taken from Australian Bureau of Statistics 2016 census data (red) [37] are presented.
Fig 2.
Age distribution (median and 2.5–97.5 quantiles) of simulated data (blue) and age distribution taken from Aboriginal and Torres Strait Islander Health Performance Framework 2017 (red) [39] are presented.
Table 1.
Model Parameters.
Fig 3.
Pseudo code of our algorithm.
Fig 4.
(A) Distribution of scabies prevalence in age groups for different scabies assignment methods, (B) Distribution of scabies prevalence across household size groups for different methods of scabies status assignment.
The results (median and 2.5% to 97.5% quantiles) are plotted for an exemplar input prevalence percentage between 20–30% across all population sizes. In the legend, “HH” refers to household.
Fig 5.
The percentage of households where there are 0, 1, 2, 3, 4, 5+ cases across the different methods of scabies status assignment.
The results (median and 2.5% to 97.5% quantiles) are plotted for an exemplar input prevalence percentage between 20–30% across all population sizes.
Fig 6.
Observed scabies prevalence in samples selected using. different (a) assignment methods and (B) sampling percentages.
The results (median and 2.5% to 97.5% quantiles) are plotted for an exemplar input prevalence percentage between 20–30% across all population sizes with a sampling percentage between 20–30%. Red dashed lines represent 20% and 30% prevalence. Additional results with differing input prevalence and differing population sizes are presented in S2, S3 and S4 Figs. In panel B, the highest sampling percentages could not be achieved in the school-based sampling strategy due to insufficient population size in the school aged group.
Table 2.
Required sample sizes estimated from simulation results for the simple random, household, and school sampling methods to achieve a given precision, combined across all scabies assignment methods.