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Epidemiological and genomic determinants of tuberculosis outbreaks in First Nations communities in Canada

Overview of attention for article published in BMC Medicine, August 2018
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Title
Epidemiological and genomic determinants of tuberculosis outbreaks in First Nations communities in Canada
Published in
BMC Medicine, August 2018
DOI 10.1186/s12916-018-1112-9
Pubmed ID
Authors

Alexander Doroshenko, Caitlin S. Pepperell, Courtney Heffernan, Mary Lou Egedahl, Tatum D. Mortimer, Tracy M. Smith, Hailey E. Bussan, Gregory J. Tyrrell, Richard Long

Abstract

In Canada, tuberculosis disproportionately affects foreign-born and First Nations populations. Within First Nations' peoples, a high proportion of cases occur in association with outbreaks. Tuberculosis transmission in the context of outbreaks is thought to result from the convergence of several factors including characteristics of the cases, contacts, the environment, and the pathogen. We examined the epidemiological and genomic determinants of two well-characterized tuberculosis outbreaks attributed to two super-spreaders among First Nations in the province of Alberta. These outbreaks were associated with two distinct DNA fingerprints (restriction fragment-length polymorphisms or RFLPs 0.0142 and 0.0728). We compared outbreak isolates with endemic isolates not spatio-temporarily linked to outbreak cases. We extracted epidemiological variables pertaining to tuberculosis cases and contacts from individual public health records and the provincial tuberculosis registry. We conducted group analyses using parametric and non-parametric statistical tests. We carried out whole-genome sequencing and bioinformatic analysis using validated protocols. We observed differences between outbreak and endemic groups in the mean number of total and child-aged contacts and the number of contacts with new positive and converted tuberculin skin tests in all group comparisons (p < 0.05). Differences were also detected in the proportion of cases with cavitation on a chest radiograph and the mean number of close contacts in selected group comparisons (p < 0.02). A phylogenetic network analysis of whole-genome sequencing data indicated that most outbreak and endemic strains were closely related to the source case for the 0.0142 fingerprint. For the 0.0728 fingerprint, the source case haplotype was circulating among endemic cases prior to the outbreak. Genetic and temporal distances were not correlated for either RFLP 0.0142 (r2 = - 0.05) or RFLP 0.0728 (r2 = 0.09) when all isolates were analyzed. We found no evidence that endemic strains acquired mutations resulting in their emergence in outbreak form. We conclude that the propagation of these outbreaks was likely driven by the combination of characteristics of the source cases, contacts, and the environment. The role of whole-genome sequencing in understanding mycobacterial evolution and in assisting public health authorities in conducting contact investigations and managing outbreaks is important and expected to grow in the future.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 42 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 17%
Researcher 5 12%
Student > Bachelor 3 7%
Student > Postgraduate 2 5%
Student > Doctoral Student 2 5%
Other 8 19%
Unknown 15 36%
Readers by discipline Count As %
Medicine and Dentistry 9 21%
Immunology and Microbiology 3 7%
Nursing and Health Professions 2 5%
Arts and Humanities 2 5%
Computer Science 2 5%
Other 5 12%
Unknown 19 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 14 August 2018.
All research outputs
#14,138,420
of 23,099,576 outputs
Outputs from BMC Medicine
#2,904
of 3,466 outputs
Outputs of similar age
#179,592
of 331,157 outputs
Outputs of similar age from BMC Medicine
#57
of 67 outputs
Altmetric has tracked 23,099,576 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,466 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.7. This one is in the 14th percentile – i.e., 14% 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 331,157 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 67 others from the same source and published within six weeks on either side of this one. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.