ArticleJournal of clinical microbiology2005
Identifying sources of human exposure to plague.
Article in Journal of clinical microbiology, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 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
15 citing papers in PubMed, 63 citations in OpenAlex.
- Epidemiological Characteristics of Human and Animal Plague in Yunnan Province, China, 1950 to 2020.Microbiology spectrum · 2022Article
- Article
- Investigation of and Response to 2 Plague Cases, Yosemite National Park, California, USA, 2015.Emerging infectious diseases · 2016Article
- Whole genome multilocus sequence typing as an epidemiologic tool for Yersinia pestis.Diagnostic microbiology and infectious disease · 2016Article
- Single-Nucleotide Polymorphisms Reveal Spatial Diversity Among Clones of Yersinia pestis During Plague Outbreaks in Colorado and the Western United States.Vector borne and zoonotic diseases (Larchmont, N.Y.) · 2015Article
- Article
- Article
- Dynamic of mutational events in variable number tandem repeats of Escherichia coli O157:H7.BioMed research international · 2013Article
- Zoonoses in the bedroom.Emerging infectious diseases · 2011Review
- Fine-scale identification of the most likely source of a human plague infection.Emerging infectious diseases · 2009Article
- MLVA distribution characteristics of Yersinia pestis in China and the correlation analysis.BMC microbiology · 2009Article
- Multiple-locus variable-number tandem-repeat analysis of Salmonella enterica serovar Typhi.Journal of clinical microbiology · 2009Article
- Differentiation of Clostridium botulinum serotype A strains by multiple-locus variable-number tandem-repeat analysis.Applied and environmental microbiology · 2008Article
- Global genetic population structure of Bacillus anthracis.PloS one · 2007Article
- Effect of repeat copy number on variable-number tandem repeat mutations in Escherichia coli O157:H7.Journal of bacteriology · 2006Article
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 at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Yersinia pestis, the etiologic agent of plague, has shaped the course of human history, killing millions of people in three major pandemics. This bacterium is still endemic in parts of Asia, Africa, and the Americas, where it poses a natural disease threat to human populations. Y. pestis has also recently received attention as a possible bioterrorism agent. Thus, rapid methods to distinguish between bioterrorism and naturally occurring plague infections are of major importance. Our study is the first to demonstrate that variable-number tandem repeats (VNTRs) in the Y. pestis genome can link human case isolates to those obtained from suspected environmental sources of infection. We demonstrate the valuable utility of VNTR markers in epidemiological investigations of naturally occurring plague and the forensic analysis of possible bioterrorism events.
Indexed as
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.