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Investigating spillover of multidrug-resistant tuberculosis from a prison: a spatial and molecular epidemiological analysis

Overview of attention for article published in BMC Medicine, August 2018
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  • Good Attention Score compared to outputs of the same age (67th percentile)

Mentioned by

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8 tweeters
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1 Redditor

Citations

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28 Dimensions

Readers on

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87 Mendeley
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Title
Investigating spillover of multidrug-resistant tuberculosis from a prison: a spatial and molecular epidemiological analysis
Published in
BMC Medicine, August 2018
DOI 10.1186/s12916-018-1111-x
Pubmed ID
Authors

Joshua L. Warren, Louis Grandjean, David A. J. Moore, Anna Lithgow, Jorge Coronel, Patricia Sheen, Jonathan L. Zelner, Jason R. Andrews, Ted Cohen

Abstract

Congregate settings may serve as institutional amplifiers of tuberculosis (TB) and multidrug-resistant tuberculosis (MDR-TB). We analyze spatial, epidemiological, and pathogen genetic data prospectively collected from neighborhoods surrounding a prison in Lima, Peru, where inmates experience a high risk of MDR-TB, to investigate the risk of spillover into the surrounding community. Using hierarchical Bayesian statistical modeling, we address three questions regarding the MDR-TB risk: (i) Does the excess risk observed among prisoners also extend outside the prison? (ii) If so, what is the magnitude, shape, and spatial range of this spillover effect? (iii) Is there evidence of additional transmission across the region? The region of spillover risk extends for 5.47 km outside of the prison (95% credible interval: 1.38, 9.63 km). Within this spillover region, we find that nine of the 467 non-inmate patients (35 with MDR-TB) have MDR-TB strains that are genetic matches to strains collected from current inmates with MDR-TB, compared to seven out of 1080 patients (89 with MDR-TB) outside the spillover region (p values: 0.022 and 0.008). We also identify eight spatially aggregated genetic clusters of MDR-TB, four within the spillover region, consistent with local transmission among individuals living close to the prison. We demonstrate a clear prison spillover effect in this population, which suggests that interventions in the prison may have benefits that extend to the surrounding community.

Twitter Demographics

The data shown below were collected from the profiles of 8 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 87 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 14%
Student > Ph. D. Student 9 10%
Other 8 9%
Student > Master 7 8%
Student > Bachelor 6 7%
Other 16 18%
Unknown 29 33%
Readers by discipline Count As %
Medicine and Dentistry 19 22%
Biochemistry, Genetics and Molecular Biology 8 9%
Nursing and Health Professions 7 8%
Agricultural and Biological Sciences 5 6%
Social Sciences 3 3%
Other 16 18%
Unknown 29 33%

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 28 September 2020.
All research outputs
#5,011,577
of 18,974,311 outputs
Outputs from BMC Medicine
#1,992
of 2,845 outputs
Outputs of similar age
#92,783
of 289,519 outputs
Outputs of similar age from BMC Medicine
#1
of 1 outputs
Altmetric has tracked 18,974,311 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 2,845 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.4. This one is in the 29th percentile – i.e., 29% of its peers scored the same or lower than it.
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 289,519 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them