ArticleEpidemiology and infection2023
Comparing
Article in Epidemiology and infection, 2023. 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
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
10 citing papers in PubMed.
- Recent Mycobacterium tuberculosis Transmission, United States, 2018-2022.Emerging infectious diseases · 2026Article
- Genomic and statistical models to characterizeMicrobial genomics · 2026Article
- A new method to estimate factors associated with tuberculosis transmission using whole genome sequencing and other additional metadata.Epidemiologic methods · 2026Article
- Incorporating Epidemiological Data into the Genomic Analysis of Partially Sampled Infectious Disease Outbreaks.Molecular biology and evolution · 2025Article
- Molecular and Transmission Characteristics ofInfection and drug resistance · 2025Article
- Distribution and transmission of M. tuberculosis in a high-HIV prevalence city in Malawi: A genomic and spatial analysis.PLOS global public health · 2025Article
- Early prediction of Mycobacterium tuberculosis transmission clusters using supervised learning models.Scientific reports · 2024Article
- Unraveling tuberculosis patient cluster transmission chains: integrating WGS-based network with clinical and epidemiological insights.Frontiers in public health · 2024Article
- Quantifying Mycobacterium tuberculosis Transmission Dynamics Across Global Settings: A Systematic Analysis.American journal of epidemiology · 2023Article
- Using genetic data to identify transmission risk factors: Statistical assessment and application to tuberculosis transmission.PLoS computational biology · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Genomic epidemiology is routinely used worldwide to interrogate infectious disease dynamics. Multiple computational tools exist that reconstruct transmission networks by coupling genomic data with epidemiological models. Resulting inferences can improve our understanding of pathogen transmission dynamics, and yet the performance of these tools has not been evaluated for tuberculosis (TB), a disease process with complex epidemiology including variable latency and within-host heterogeneity. Here, we performed a systematic comparison of six publicly available transmission reconstruction models, evaluating their accuracy when predicting transmission events in simulated and real-world
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Identifiers
What OpenQuestion holds
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.