1% [17.0–38.6% 95% CI]). As low-degree individuals are far less likely to be infected 17-AAG than high-degree individuals, error in their degrees affects the denominator in the estimator without a comparable effect on the numerator (recall Eq. (1)). The extent of bias due to mis-reporting degrees also depends on the contact network in the population being studied. Networks with a long-tailed degree distribution have a strong correlation between degree and infection status and we showed that inaccurate degrees can lead to
substantial bias in the estimation of sero-prevalence. However, in a network with a lower variance in degrees, such as a Poisson degree distribution, the correlation was much weaker and there was a correspondingly weaker effect on prevalence estimates when degrees were inaccurate (see Fig. S6). Other differences between real RDS surveys and the idealised circumstances from which the mathematics of RDS is derived did not cause any substantial error in the estimates
of incidence or prevalence Selleckchem Inhibitor Library in our simulations (lower half of Fig. 2). The fact that real RDS surveys use sampling without replacement, multiple original seeds rather than just one, and that individuals can recruit more than one contact into the study can be expected to lead to relatively minor differences between the theoretically unbiased estimates Phosphatidylinositol diacylglycerol-lyase and
estimates from data. While nearly all of the simulated consecutive samples correctly identified that prevalence increased between the two times points, there were marked differences in the estimates of the sampled trend (Fig. 3 and Table S5). The true simulated prevalence on average increased from 19% to 30% in the two year gap. The raw sample data overestimated prevalence, but identified the trend correctly. When the sample was adjusted using the Volz–Heckathorn estimator with accurate degrees the average difference across all 100 repeats was very close to the actual increase (3rd boxplot from the top in Fig. 3). However, the variation between individual paired samples was very large, indicating large inaccuracies in individual runs. As repeated samples are impractical in reality, this implies that conclusions from consecutive studies have a high probability of being quite inaccurate, even if degrees are correctly given. This is the case for all of the rounding methods we compared. All scenarios with mis-reported degrees had a large variance in the estimated trend in prevalence. When degrees were rounded up to 5, to 10 or increased by 5, the prevalence and the increase in prevalence between the two surveys was over-estimated.
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