ArticleMicrobial genomics2016
Declaring a tuberculosis outbreak over with genomic epidemiology.
Article in Microbial genomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
22 citing papers in PubMed.
- A tiled amplicon protocol for culture-free whole-genome sequencing ofJournal of clinical microbiology · 2026Article
- Assessing the impact of Enhanced-Case-Finding on tuberculosis case notifications and transmission in The Gambia using epidemiological and phylodynamic approaches.Open research Europe · 2026Article
- High Throughput Pharmacovigilance Screening for Roflumilast Adverse Effects in Real-World Settings: A Sequence Symmetry Analysis.Basic & clinical pharmacology & toxicology · 2025Article
- Incorporating Epidemiological Data into the Genomic Analysis of Partially Sampled Infectious Disease Outbreaks.Molecular biology and evolution · 2025Article
- Drug Resistance and Epidemiological Success of Modern Mycobacterium tuberculosis Lineages in Western India.The Journal of infectious diseases · 2025Article
- Unveiling invisible farm-to-farm PRRSV-2 transmission links and routes through transmission tree and network analysis.Evolutionary applications · 2023Article
- ComparingEpidemiology and infection · 2023Article
- Advantages of analysing both pairwise SNV-distance and differing SNVs betweenMicrobial genomics · 2023Article
- Global Phylogeny ofFrontiers in microbiology · 2022Article
- Genomic Epidemiology Analysis of Infectious Disease Outbreaks Using TransPhylo.Current protocols · 2021Article
- Sudden emergence of aMicrobial genomics · 2020Article
- Blood RNA signatures predict recent tuberculosis exposure in mice, macaques and humans.Scientific reports · 2020Article
- Genomic variant-identification methods may alterMicrobial genomics · 2020Article
- Comparison of routine field epidemiology and whole genome sequencing to identify tuberculosis transmission in a remote setting.Epidemiology and infection · 2020Article
- Outbreak analytics: a developing data science for informing the response to emerging pathogens.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2019Review
- Tuberculosis outbreak investigation using phylodynamic analysis.Epidemics · 2018Article
- Genomic Investigation of aThe American journal of tropical medicine and hygiene · 2018Article
- Revisiting the timetable of tuberculosis.BMJ (Clinical research ed.) · 2018Article
- De Novo Mutations Resolve Disease Transmission Pathways in Clonal Malaria.Molecular biology and evolution · 2018Article
- Molecular Epidemiology of Tuberculosis in British Columbia, Canada: A 10-Year Retrospective Study.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
We report an updated method for inferring the time at which an infectious disease was transmitted between persons from a time-labelled pathogen genome phylogeny. We applied the method to 48
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.