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...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Journal Article |
| Language: | Inglés |
| Published: |
Wiley
2005
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/29792 |
| _version_ | 1855540212063535104 |
|---|---|
| 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. |
| format | Journal Article |
| id | CGSpace29792 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2005 |
| publishDateRange | 2005 |
| publishDateSort | 2005 |
| publisher | Wiley |
| publisherStr | Wiley |
| record_format | dspace |
| 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 |
| work_keys_str_mv | AT odiitm quantifyingthelevelofunderdetectionoftrypanosomabruceirhodesiensesleepingsicknesscases AT colemanpg quantifyingthelevelofunderdetectionoftrypanosomabruceirhodesiensesleepingsicknesscases AT liuwc quantifyingthelevelofunderdetectionoftrypanosomabruceirhodesiensesleepingsicknesscases AT mcdermottjohnj quantifyingthelevelofunderdetectionoftrypanosomabruceirhodesiensesleepingsicknesscases AT fevreericm quantifyingthelevelofunderdetectionoftrypanosomabruceirhodesiensesleepingsicknesscases AT welburnsc quantifyingthelevelofunderdetectionoftrypanosomabruceirhodesiensesleepingsicknesscases AT woolhousemarkej quantifyingthelevelofunderdetectionoftrypanosomabruceirhodesiensesleepingsicknesscases |