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. 2020 Jul 1;15(7):e0235206.
doi: 10.1371/journal.pone.0235206. eCollection 2020.

Regional changes in tuberculosis disease burden among adolescents in South Africa (2005-2015)

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Regional changes in tuberculosis disease burden among adolescents in South Africa (2005-2015)

Erick Wekesa Bunyasi et al. PLoS One. .

Abstract

Background: Adolescents in the Western Cape Province of South Africa had high force of Mycobacterium tuberculosis (MTB) infection (14% per annum) and high TB incidence (710 per 100,000 person-years) in 2005. We describe subsequent temporal changes in adolescent TB disease notification rates for the decade 2005-2015.

Method: We conducted an analysis of patient-level adolescent (age 10-19 years) TB disease data, obtained from an electronic TB register in the Breede Valley sub-district, Western Cape Province, South Africa, for 2005-2015. Numerators were annual TB notifications (HIV-related and HIV-unrelated); denominators were mid-year population estimates. Period averages of TB rates were obtained using time series modeling. Temporal trends in TB rates were explored using the Mann-Kendall test.

Findings: The average adolescent TB disease notification rate was 477 per 100,000 for all TB patients (all-TB) and 361 per 100,000 for microbiologically-confirmed patients. The adolescent all-TB rate declined by 45% from 662 to 361 per 100,000 and the microbiologically-confirmed TB rate by 38% from 492 to 305 per 100,000 between 2005-2015, driven mainly by rapid decreases for the period 2005-2009. There was a statistically significant negative temporal trend in both all-TB (per 100,000) (declined by 48%; from 662 to 343; p = 0·028) and microbiologically confirmed TB (per 100,000) (declined by 49%; from 492 to 252; p = 0·027) for 2005-2009, which was not observed for the period 2009-2015 (rose 5%; from 343 to 361; p = 0·764 and rose 21%; from 252 to 305; p = 1·000, respectively).

Interpretation: We observed an encouraging fall in adolescent TB disease rates between 2005-2009 with a subsequent plateau during 2010-2015, suggesting that additional interventions are needed to sustain initial advances in TB control.

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Conflict of interest statement

The authors have declared that no competing interests exist.

Figures

Fig 1
Fig 1. General population TB rates by age in 2005, 2010 and 2015.
Legend: TB = Tuberculosis disease (all patients). TB rates reduced from 379 to 188 to 151 patients per 100,000 among adolescents aged 10–14 years old; and from 938 to 663 to 566 patients per 100,000 among adolescents aged 15–19 years old, in 2005, 2010 and 2015 respectively.
Fig 2
Fig 2. Comparison of adult and adolescent TB trends 2005–2015.
Legend: TB = Tuberculosis disease (all TB). A = The period of rollout of Xpert MTB/RIF assay as a replacement for sputum smear microscopy. Between 2005–2015 all–TB rates declined by 15% from 2,750 to 2,331 per 100,000 among children; by 45% from 662 to 361 per 100,000 among adolescents; and by 30% from 1,423 to 994 per 100,000 among adults. P–value is for temporal trend between 2005–2015.
Fig 3
Fig 3. Adolescent TB temporal trends by age and year.
Legend: TB = Tuberculosis disease (all–TB). Panel 3A. Adolescent TB disease rates by age and year. Between 2005–2015, TB rates declined by 63% (from 429 to 157 per 100,000; p–value for temporal trend (p–value) = 0·350) among adolescents aged 10 years old; by 29% (from 560 to 400 per 100,000; p–value = 0·640 among adolescents aged 15 years old; and by 40% (from 1120 to 677 per 100,000; p–value = 0·020) among adolescents aged 19 years old. Panel 3B. Adolescent TB disease rates by five–year age groups. TB rates declined by 60% (from 379 to 151 per 100,000) among adolescents aged 10–14 years old; and by 40% (from 938 to 566 per 100,000) among adolescents aged 15–19 years old. P–value is for temporal trend between 2005–2015.
Fig 4
Fig 4. Adolescent TB temporal trends by sex.
Legend: TB = Tuberculosis disease. Respectively among female and male adolescents, TB rates declined by 49% (from 696 to 353 patients per 100,000) and by 41% (from 627 to 369 patients per 100,000) from 2005 to 2015. P–value is for temporal trend between 2005 and 2015.

References

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