Updated estimate of the duration of the meningo-encephalitic stage in gambiense human African trypanosomiasis

Checchi, F; Funk, S; Chandramohan, D; Haydon, D T; Chappuis, F

dc.contributor.author	Checchi, F
dc.contributor.author	Funk, S
dc.contributor.author	Chandramohan, D
dc.contributor.author	Haydon, D T
dc.contributor.author	Chappuis, F
dc.date.accessioned	2015-07-15T19:08:53Z
dc.date.available	2015-07-15T19:08:53Z
dc.date.issued	2015-07-04
dc.identifier.citation	Updated estimate of the duration of the meningo-encephalitic stage in gambiense human African trypanosomiasis., 8 (1):292 BMC Res Notes	en_GB
dc.identifier.issn	1756-0500
dc.identifier.pmid	26140922
dc.identifier.doi	10.1186/s13104-015-1244-3
dc.identifier.uri	http://hdl.handle.net/10144/560514
dc.description.abstract	The duration of the stages of HAT is an important factor in epidemiological studies and intervention planning. Previously, we published estimates of the duration of the haemo-lymphatic stage 1 and meningo-encephalitic stage 2 of the gambiense form of human African trypanosomiasis (HAT), in the absence of treatment. Here we revise the estimate of stage 2 duration, computed based on data from Uganda and South Sudan, by adjusting observed infection prevalence for incomplete case detection coverage and diagnostic inaccuracy.
dc.language	ENG
dc.language.iso	en	en
dc.publisher	BMC	en_GB
dc.rights	Archived with thanks to BMC Research Notes and Open Access	en_GB
dc.title	Updated estimate of the duration of the meningo-encephalitic stage in gambiense human African trypanosomiasis	en
dc.identifier.journal	BMC Research Notes	en_GB
refterms.dateFOA	2019-03-04T12:27:14Z
html.description.abstract	The duration of the stages of HAT is an important factor in epidemiological studies and intervention planning. Previously, we published estimates of the duration of the haemo-lymphatic stage 1 and meningo-encephalitic stage 2 of the gambiense form of human African trypanosomiasis (HAT), in the absence of treatment. Here we revise the estimate of stage 2 duration, computed based on data from Uganda and South Sudan, by adjusting observed infection prevalence for incomplete case detection coverage and diagnostic inaccuracy.