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
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 4 | 50% |
New Zealand | 1 | 13% |
Canada | 1 | 13% |
Unknown | 2 | 25% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 8 | 100% |
Mendeley readers
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% |