Receiver operating curve diagram of all candidate syndromic algorithms evaluated.

<p>Each point represents the sensitivity and 1-specificity of a single algorithm. Ideally, the highest performing algorithms would be located in the top left corner of the graph.</p

Presenting symptom data collected and used in algorithm construction.

<p>Presenting symptom data collected and used in algorithm construction.</p

Crude associations between the 13 symptoms used in algorithm construction and a positive HAT test.

*<p>Significantly associated with being identified as a case, at p<0.05. Kerendel's sign (painful tibia) was present in 33.3% of cases and independently significantly associated with a positive test outcome (individual OR 5.9, p-value <0.001) but was combined with other more rare symptoms into the larger category ‘neurological problems’. There were no significant differences in demographic characteristics (age, sex, residency status, location) between cases and non-cases (data not shown). OR: Odds ratio. CI: Confidence interval.</p

Multivariable model of key HAT symptoms associated with unanimous expert referral, adjusted for age, sex and previous HAT treatment history (n = 407).

*<p>An additional symptom, body pains, was moderately significant in the final model (p-value 0.051).</p

Performance of previously published syndromic algorithms.

<p>Performance of previously published syndromic algorithms.</p

Modified algorithms from other HAT studies tested using Nimule Hospital data.

<p>Numbers indicate scores attributed to each symptom, if present.</p>*<p>Data on this symptom were not collected in this study.</p

Performance of expert referrers.

*<p>No decision for 52 patients. Pts: patients. Sens: sensitivity. Spec: specificity.</p