Tuberculosis case detection in Nigeria, the unfinished agenda

Autor: Gidado Mustapha, José Domínguez, Christophe Sola, Lovett Lawson, Luis E. Cuevas, Tubi Abiola, Russell Dacombe, Saddiq T. Abdurrahman, Joshua Obasanya, Nkem Chukwueme, Olanrewaju Oladimeji
Přispěvatelé: National Tuberculosis and Leprosy Control Programme of Nigeria, National Tuberculosis and Leprosy Control Programme of Nigeria, Abuja, Federal Capital Territory Abuja Tuberculosis And Leprosy Control Programme, Abuja, Liverpool School of Tropical Medicine, Zankli Medical Centre, Servei de Microbiologia,Hospital Universitario Germans Trias I Pujol, TB Care, KNCV / TB CARE I, TB Care, KNCV / TB CARE I,Abuja, Institut de Biologie Intégrative de la Cellule ( I2BC ), Université Paris-Sud - Paris 11 ( UP11 ) -Commissariat à l'énergie atomique et aux énergies alternatives ( CEA ) -Université Paris-Saclay-Centre National de la Recherche Scientifique ( CNRS ), Liverpool School of Tropical Medicine (LSTM), Institut de Biologie Intégrative de la Cellule (I2BC), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)
Jazyk: angličtina
Rok vydání: 2015
Předmět:
Zdroj: Tropical Medicine and International Health
Tropical Medicine and International Health, Wiley-Blackwell, 2015, 20 (10), pp.1396-402. 〈10.1111/tmi.12558〉
Tropical Medicine and International Health, 2015, 20 (10), pp.1396-402. ⟨10.1111/tmi.12558⟩
Tropical Medicine and International Health, Wiley-Blackwell, 2015, 20 (10), pp.1396-402. ⟨10.1111/tmi.12558⟩
ISSN: 1360-2276
1365-3156
Popis: International audience; Underdetection of TB is a major problem in sub-Saharan Africa. WHO recommends countries should have at least 1 laboratory per 100,000 population. However, this recommendation is not evidence based.; We analysed surveillance data of the Nigerian National TB Control Programme (2008-2012) to describe TB case detection rates, their geographical distribution and their association with the density of diagnostic laboratories and HIV prevalence.; The median CDR was 17.7 (range 4.7-75.8%) in 2008, increasing to 28.6% (range 10.6-72.4%) in 2012 (P < 0.01). The CDR2012 was associated with the 2008 baseline; however, states with CDR2008 < 30% had larger increases than states with CDR2008 > 30. There were 990 laboratories in 2008 and 1453 in 2012 (46.7% increase, range by state -3% to +118). The state CDR2012 could be predicted by the laboratory density (P < 0.001), but was not associated with HIV prevalence or the proportion of smear-positive cases. CDR2012 and laboratory density were correlated among states having < and > than 1 laboratory per 100,000 population.; There are large variations in laboratory density and CDR across the Nigerian states. The CDR is associated with the laboratory density. A much larger number of diagnostic centres are needed. It is likely that a laboratory density above the recommended WHO guideline would result in even higher case detection, and this ratio should be considered a minimum threshold.
Databáze: OpenAIRE
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