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

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 diagnosed, a d...

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Main Authors: Odiit, M., Coleman, P.G., Liu, W.C., McDermott, John J., Fèvre, Eric M., Welburn, S.C., Woolhouse, Mark E.J.
Format: Journal Article
Language:Inglés
Published: Wiley 2005
Subjects:
Online Access:https://hdl.handle.net/10568/29792
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author Odiit, M.
Coleman, P.G.
Liu, W.C.
McDermott, John J.
Fèvre, Eric M.
Welburn, S.C.
Woolhouse, Mark E.J.
author_browse Coleman, P.G.
Fèvre, Eric M.
Liu, W.C.
McDermott, John J.
Odiit, M.
Welburn, S.C.
Woolhouse, Mark E.J.
author_facet Odiit, M.
Coleman, P.G.
Liu, W.C.
McDermott, John J.
Fèvre, Eric M.
Welburn, S.C.
Woolhouse, Mark E.J.
author_sort Odiit, M.
collection Repository of Agricultural Research Outputs (CGSpace)
description 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 diagnosed, a deterministic (subset) model was developed. The values of the under-detection model parameters were estimated from previously published records of the duration of symptoms prior to presentation and the ratio of early to late stage cases in 760 SS patients presenting at LIRI hospital, Tororo, Uganda during the 1988–1990 epidemic of SS. For the observed early to late stage ratio of 0.47, we estimate that the proportion of under-detection in the catchment area of LIRI hospital was 0.39 (95% CI 0.37–0.41) i.e. 39% of cases are not reported. Based on this value, it is calculated that for every one reported death of SS, 12.0 (95% CI 11.0–13.0) deaths went undetected in the LIRI hospital catchment area – i.e. 92% of deaths are not reported. The deterministic (subset) model structured on the possible routes of a SS infection to either diagnosis or death through the health system or out of it, showed that of a total of 73 undetected deaths, 62 (CI 60–64) (85%) entered the health care system but were not diagnosed, and 11 (CI 11–12) died without seeking health care from a recognized health unit. The measure of early to late stage presentation provides a tractable measure to determine the level of rhodesiense SS under-detection and to gauge the effects of interventions aimed at increasing treatment coverage.
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spelling CGSpace297922023-12-27T20:00:36Z Quantifying the level of under-detection of Trypanosoma brucei rhodesiense sleeping sickness cases Odiit, M. Coleman, P.G. Liu, W.C. McDermott, John J. Fèvre, Eric M. Welburn, S.C. Woolhouse, Mark E.J. trypanosoma brucei trypanosoma rhodesiense trypanosomiasis 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 diagnosed, a deterministic (subset) model was developed. The values of the under-detection model parameters were estimated from previously published records of the duration of symptoms prior to presentation and the ratio of early to late stage cases in 760 SS patients presenting at LIRI hospital, Tororo, Uganda during the 1988–1990 epidemic of SS. For the observed early to late stage ratio of 0.47, we estimate that the proportion of under-detection in the catchment area of LIRI hospital was 0.39 (95% CI 0.37–0.41) i.e. 39% of cases are not reported. Based on this value, it is calculated that for every one reported death of SS, 12.0 (95% CI 11.0–13.0) deaths went undetected in the LIRI hospital catchment area – i.e. 92% of deaths are not reported. The deterministic (subset) model structured on the possible routes of a SS infection to either diagnosis or death through the health system or out of it, showed that of a total of 73 undetected deaths, 62 (CI 60–64) (85%) entered the health care system but were not diagnosed, and 11 (CI 11–12) died without seeking health care from a recognized health unit. The measure of early to late stage presentation provides a tractable measure to determine the level of rhodesiense SS under-detection and to gauge the effects of interventions aimed at increasing treatment coverage. 2005-09 2013-06-11T09:24:55Z 2013-06-11T09:24:55Z Journal Article https://hdl.handle.net/10568/29792 en Limited Access Wiley Tropical Medicine & International Health;10(9): 840-849
spellingShingle trypanosoma brucei
trypanosoma rhodesiense
trypanosomiasis
Odiit, M.
Coleman, P.G.
Liu, W.C.
McDermott, John J.
Fèvre, Eric M.
Welburn, S.C.
Woolhouse, Mark E.J.
Quantifying the level of under-detection of Trypanosoma brucei rhodesiense sleeping sickness cases
title Quantifying the level of under-detection of Trypanosoma brucei rhodesiense sleeping sickness cases
title_full Quantifying the level of under-detection of Trypanosoma brucei rhodesiense sleeping sickness cases
title_fullStr Quantifying the level of under-detection of Trypanosoma brucei rhodesiense sleeping sickness cases
title_full_unstemmed Quantifying the level of under-detection of Trypanosoma brucei rhodesiense sleeping sickness cases
title_short Quantifying the level of under-detection of Trypanosoma brucei rhodesiense sleeping sickness cases
title_sort quantifying the level of under detection of trypanosoma brucei rhodesiense sleeping sickness cases
topic trypanosoma brucei
trypanosoma rhodesiense
trypanosomiasis
url https://hdl.handle.net/10568/29792
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