ArticleEvolutionary applications2020
Applied phyloepidemiology: Detecting drivers of pathogen transmission from genomic signatures using density measures.
Article in Evolutionary applications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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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.
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Who cites it
10 citing papers in PubMed, 17 citations in OpenAlex.
- Comparative genomics and epidemic success of Mycobacterium tuberculosis lineage 4 in eastern China.BMC genomics · 2026Article
- Drug Resistance and Epidemiological Success of Modern Mycobacterium tuberculosis Lineages in Western India.The Journal of infectious diseases · 2025Article
- Article
- Markers of epidemiological success of methicillin-resistant Staphylococcus aureus isolates in European populations.Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases · 2023Article
- Evolution and epidemic success of Mycobacterium tuberculosis in eastern China: evidence from a prospective study.BMC genomics · 2023Article
- Forecasting Staphylococcus aureus Infections Using Genome-Wide Association Studies, Machine Learning, and Transcriptomic Approaches.mSystems · 2022Article
- Transcontinental spread and evolution of Mycobacterium tuberculosis W148 European/Russian clade toward extensively drug resistant tuberculosis.Nature communications · 2022Article
- High fluoroquinolone resistance proportions among multidrug-resistant tuberculosis driven by dominant L2 Mycobacterium tuberculosis clones in the Mumbai Metropolitan Region.Genome medicine · 2022Article
- From the woods to the halls of science: Louis Bernatchez's contributions to science, wildlife conservation and people.Evolutionary applications · 2020Article
- Applied phyloepidemiology: Detecting drivers of pathogen transmission from genomic signatures using density measures.Evolutionary applications · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Understanding the driving forces of an epidemic is key to inform intervention strategies against it. Correlating measures of the epidemic success of a pathogen with ancillary parameters such as its drug resistance profile provides a flexible tool to identify such driving forces. The recently described time-scaled haplotypic density (THD) method facilitates the inference of a pathogen's epidemic success from genetic data. Contrary to demogenetic approaches that define success in an aggregated fashion, the THD computes an independent index of success for each isolate in a collection. Modeling this index using multivariate regression, thus, allows us to control for various sources of bias and to identify independent predictors of success. We illustrate the use of THD to address key questions regarding three exemplary epidemics of multidrug-resistant (MDR) bacterial lineages, namely
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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.