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dc.contributor.authorKu, Chu-Chang
dc.contributor.authorMacpherson, Peter
dc.contributor.authorKhundi, Mcewen
dc.contributor.authorNzawa Soko, Rebecca H.
dc.contributor.authorFeasey, Helena
dc.contributor.authorNliwasa, Marriott
dc.contributor.authorHorton, Katherine C.
dc.contributor.authorCorbett, Elizabeth L.
dc.contributor.authorDodd, Peter J.
dc.date.accessioned2024-04-24T11:30:04Z
dc.date.available2024-04-24T11:30:04Z
dc.date.issued2021-12-01
dc.identifier297120058
dc.identifier3f84f7e4-3077-4556-aa87-4331eef5c492
dc.identifier85118765944
dc.identifier.citationKu , C-C , Macpherson , P , Khundi , M , Nzawa Soko , R H , Feasey , H , Nliwasa , M , Horton , K C , Corbett , E L & Dodd , P J 2021 , ' Durations of asymptomatic, symptomatic, and care-seeking phases of tuberculosis disease with a Bayesian analysis of prevalence survey and notification data ' , BMC Medicine , vol. 19 , no. 1 , 298 . https://doi.org/10.1186/s12916-021-02128-9en
dc.identifier.issn1741-7015
dc.identifier.othercrossref: 10.1186/s12916-021-02128-9
dc.identifier.otherORCID: /0000-0003-3109-6722/work/148420985
dc.identifier.urihttps://hdl.handle.net/10023/29740
dc.descriptionThis work was supported by the Wellcome Trust (206575/Z/17/Z to PM, 200901/Z/16/Z to ELC) and the UK MRC (MR/P022081/1 to PJD). This UK funded award (PJD) is part of the EDCTP2 programme supported by the European Union. KCH is supported by the European Research Council (757699) and UK FCDO (“Leaving no-one behind: transforming gendered pathways to health for TB”). This research has been partially funded by UK aid from the UK government (to KCH).en
dc.description.abstractBackground Ratios of bacteriologically positive tuberculosis (TB) prevalence to notification rates are used to characterise typical durations of TB disease. However, this ignores the clinical spectrum of tuberculosis disease and potentially long infectious periods with minimal or no symptoms prior to care-seeking. Methods We developed novel statistical models to estimate progression from initial bacteriological positivity including smear conversion, symptom onset and initial care-seeking. Case-detection ratios, TB incidence, durations, and other parameters were estimated by fitting the model to tuberculosis prevalence survey and notification data (one subnational and 11 national datasets) within a Bayesian framework using Markov chain Monte Carlo methods. Results Analysis across 11 national datasets found asymptomatic tuberculosis durations in the range 4–8 months for African countries; three countries in Asia (Cambodia, Lao PDR, and Philippines) showed longer durations of > 1 year. For the six countries with relevant data, care-seeking typically began half-way between symptom onset and notification. For Kenya and Blantyre, Malawi, individual-level data were available. The sex-specific durations of asymptomatic bacteriologically-positive tuberculosis were 9.0 months (95% credible interval [CrI]: 7.2–11.2) for men and 8.1 months (95% CrI: 6.2–10.3) for women in Kenya, and 4.9 months (95% CrI: 2.6–7.9) for men and 3.5 months (95% CrI: 1.3–6.2) for women in Blantyre. Age-stratified analysis of data for Kenya showed no strong age-dependence in durations. For Blantyre, HIV-stratified analysis estimated an asymptomatic duration of 1.3 months (95% CrI: 0.3–3.0) for HIV-positive people, shorter than the 8.5 months (95% CrI: 5.0–12.7) for HIV-negative people. Additionally, case-detection ratios were higher for people living with HIV than HIV-negative people (93% vs 71%). Conclusion Asymptomatic TB disease typically lasts around 6 months. We found no evidence of age-dependence, but much shorter durations among people living with HIV, and longer durations in some Asian settings. To eradicate TB transmission, greater gains may be achieved by proactively screening people without symptoms through active case finding interventions.
dc.format.extent1932002
dc.language.isoeng
dc.relation.ispartofBMC Medicineen
dc.subjectDASen
dc.subjectSDG 3 - Good Health and Well-beingen
dc.titleDurations of asymptomatic, symptomatic, and care-seeking phases of tuberculosis disease with a Bayesian analysis of prevalence survey and notification dataen
dc.typeJournal articleen
dc.contributor.institutionUniversity of St Andrews. School of Medicineen
dc.identifier.doihttps://doi.org/10.1186/s12916-021-02128-9
dc.description.statusPeer revieweden


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