High-resolution mapping of tuberculosis transmission: Whole genome sequencing and phylogenetic modelling of a cohort from Valencia Region, Spain
Adult
Male
0301 basic medicine
Adolescent
Polymorphism, Single Nucleotide
03 medical and health sciences
Risk Factors
HIV Seropositivity
Humans
Phylogeny
Aged
Incidence
R
Bayes Theorem
Genomics
Mycobacterium tuberculosis
Middle Aged
3. Good health
Treatment Outcome
Spain
Medicine
Female
Contact Tracing
Biomarkers
Genome, Bacterial
Research Article
DOI:
10.1371/journal.pmed.1002961
Publication Date:
2019-10-31T17:45:40Z
AUTHORS (32)
ABSTRACT
Background Whole genome sequencing provides better delineation of transmission clusters in Mycobacterium tuberculosis than traditional methods. However, its ability to reveal individual links within is limited. Here, we used a 2-step approach based on Bayesian reconstruction (1) identify likely index and missing cases, (2) determine risk factors associated with transmitters, (3) estimate when happened. Methods findings We developed our method using genomic epidemiological data from population-based study Valencia Region, Spain. Tuberculosis (TB) incidence during the period was 8.4 cases per 100,000 people. While ongoing, sampling frame for this work includes notified TB between 1 January 2014 31 December 2016. identified total 21 that fulfilled criteria analysis. These contained 117 individuals diagnosed active (109 data). Demographic characteristics population were as follows: 80/109 (73%) Spanish-born, 76/109 (70%) men, mean age 42.51 years (SD 18.46). found 66/109 (61%) patients sputum positive at diagnosis, 10/109 (9%) HIV positive. links, factors. Our inference suggests least 60% are misidentified by local public health. also suggest transmitters different those simply being cluster, highlighting importance differentiating these 2 phenomena. type diabetes mellitus factor transmitter (odds ratio 0.19 [95% CI 0.02–1.10], p < 0.003). Finally, most timing events occurred; 5/14 (35.7%) transmitted well before symptom onset, largely negative diagnosis. Limited within-cluster diversity does not allow us extrapolate whole Region. Conclusions In study, often misidentified, downstream consequences investigations because can be missed. regarding inferred occur patient suggesting transmits sub-clinical disease. This result has direct implications diagnosing reducing transmission. Overall, show transition individual-based epidemiology will close some knowledge gaps may redirect efforts towards cost-effective contact improved control.
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