Quantifying the level of under‐detection of Trypanosoma brucei rhodesiense sleeping sickness cases

• Published in: Tropical medicine & international health Vol. 10; no. 9; pp. 840 - 849
• Main Authors: Odiit, M., Coleman, P. G., Liu, W.‐C., McDermott, J. J., Fèvre, E. M., Welburn, S. C., Woolhouse, M. E. J.
• Format: Journal Article
• Language: English
• Published: Oxford, UK Blackwell Science Ltd 01.09.2005; Blackwell Science; Blackwell Publishing Ltd
• Subjects: Animals; Biological and medical sciences; Biostatistics; Decision Trees; Diagnostic Errors; disease burden; Disease control; Disease Outbreaks; Epidemics; Epidemiology; Human protozoal diseases; Humans; Infectious diseases; Medical diagnosis; Medical sciences; Monte Carlo Method; Parasitic diseases; Probability; Protozoal diseases; rhodesiense sleeping sickness; Trypanosoma brucei rhodesiense - isolation & purification; Trypanosomiasis; Trypanosomiasis, African - epidemiology; Trypanosomiasis, African - mortality; Trypanosomiasis, African - parasitology; Uganda; Uganda - epidemiology; under‐detection; Uganda; Africa; Kinetoplastida; Human; Protozoa; Protozoal disease; rhodesiense sleeping sickness; Parasitosis; African sickness; disease burden; Epidemiology; Infection; under-detection; Trypanosoma rhodesiense; Tropical medicine; Uganda; Models; Diagnosis; Detection; Trypanosoma brucei; Trypanosomiasis

Summary To formally quantify the level of under‐detection of Trypanosoma brucei rhodesiense sleeping sickness (SS) during an epidemic in Uganda, a decision tree (under‐detection) model was developed; concurrently, to quantify the subset of undetected cases that sought health care but were not diagno...