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Yield of household contact tracing for tuberculosis in rural South Africa

Overview of attention for article published in BMC Infectious Diseases, July 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

blogs
1 blog
policy
1 policy source
twitter
3 X users

Citations

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34 Dimensions

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132 Mendeley
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Title
Yield of household contact tracing for tuberculosis in rural South Africa
Published in
BMC Infectious Diseases, July 2018
DOI 10.1186/s12879-018-3193-7
Pubmed ID
Authors

Kristen M. Little, Reginah Msandiwa, Neil Martinson, Jonathan Golub, Richard Chaisson, David Dowdy

Abstract

Efficient and effective strategies for identifying cases of active tuberculosis (TB) in rural sub-Saharan Africa are lacking. Household contact tracing offers a potential approach to diagnose more TB cases, and to do so earlier in the disease course. Adults newly diagnosed with active TB were recruited from public clinics in Vhembe District, South Africa. Study staff visited index case households and collected sputum specimens for TB testing via smear microscopy and culture. We calculated the yield and the number of households needed to screen (NHNS) to find one additional case. Predictors of new TB among household contacts were evaluated using multilevel logistic regression. We recruited 130 index cases and 282 household contacts. We identified 11 previously undiagnosed cases of bacteriologically-confirmed TB, giving a prevalence of 3.9% (95% CI: 2.0-6.9%) among contacts, a yield of 8.5 per 100 (95% CI: 4.2-15.1) index cases traced, and NHNS of 12 (95% CI: 7-24). The majority of new TB cases (10/11, 90.9%) were smear negative, culture positive. The presence of TB symptoms was not associated with an increased odds of active TB (aOR: 0.3, 95% CI: 0.1-1.4). Household contacts of recently diagnosed TB patients in rural South Africa have high prevalence of TB and can be feasibly detected through contact tracing, but more sensitive tests than sputum smear are required. Symptom screening among household contacts had low sensitivity and specificity for active TB in this study.

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The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 132 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 132 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 25 19%
Researcher 20 15%
Student > Ph. D. Student 15 11%
Student > Postgraduate 8 6%
Student > Bachelor 7 5%
Other 23 17%
Unknown 34 26%
Readers by discipline Count As %
Medicine and Dentistry 38 29%
Nursing and Health Professions 20 15%
Social Sciences 8 6%
Biochemistry, Genetics and Molecular Biology 5 4%
Mathematics 4 3%
Other 18 14%
Unknown 39 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 March 2021.
All research outputs
#2,333,160
of 23,505,010 outputs
Outputs from BMC Infectious Diseases
#696
of 7,841 outputs
Outputs of similar age
#49,733
of 328,989 outputs
Outputs of similar age from BMC Infectious Diseases
#20
of 162 outputs
Altmetric has tracked 23,505,010 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,841 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.4. This one has done particularly well, scoring higher than 91% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 328,989 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 162 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.