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. 2018 Mar 26;98(5):1526–1533. doi: 10.4269/ajtmh.17-0571

Table 4.

Estimates of acute febrile illness diagnoses using a Bayesian model of published test characteristics

Test Sensitivity % Specificity % Adults Children
Positive tests, n/N (%) True prevalence estimate, n (%, 95% CI) Positive tests, n/N (%) True prevalence estimate, n (%, 95% CI)
Dengue22 66–72 97–98 201/905 (22) 270 (30, 26–34) 51/630 (8) 55 (9, 6–12)
Chikungunya28 20 93 30/829 (4) 15 (2, 0–6) 5/605 (1) 8 (1, 0–5)
Bacteremia after antibiotic exposure29 50–64 100 40/1,018 (4) 64 (6, 4–9) 11/357 (3) 5 (2–9)
Leptospirosis30 31–52 66–91 18/155 (12) 14 (9, 0–28) 0/9 (0) 3 (0–81)
Influenza31 36–70 96–100 8/672 (1) 10 (2, 0–4) 5/503 (1) 7 (1, 0–4)
Malaria RDT32,33 24–89 81–99 86/929 (9) 98 (8, 0–30) 14/703 (2) 12 (2, 0–6)
Malaria microscopy32,34 29–91 98–100 74/933 (8) 142 (15, 7–27) 11/733 (2) 14 (2, 0–6)

CI = confidence interval; RDT = rapid diagnostic test.