Evidence map›Paper›PMID 24416399›Full record

ArticlePloS one2014

Two-step source tracing strategy of Yersinia pestis and its historical epidemiology in a specific region.

Yanfeng Yan, Hu Wang, Dongfang Li, Xianwei Yang, Zuyun Wang, Zhizhen Qi, Qingwen Zhang, Baizhong Cui, Zhaobiao Guo, Chang Yu and 7 more

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Yanfeng YanState Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China ; BGI-Shenzhen, Shenzhen, China.
Hu WangQinghai Institute for Endemic Diseases Prevention and Control, Xining, China.
Dongfang LiBGI-Shenzhen, Shenzhen, China.
Xianwei YangState Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China.
Zuyun WangQinghai Institute for Endemic Diseases Prevention and Control, Xining, China.
Zhizhen QiQinghai Institute for Endemic Diseases Prevention and Control, Xining, China.
Qingwen ZhangQinghai Institute for Endemic Diseases Prevention and Control, Xining, China.
Baizhong CuiQinghai Institute for Endemic Diseases Prevention and Control, Xining, China.
Zhaobiao GuoState Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China.
Chang YuBGI-Shenzhen, Shenzhen, China.
Jun WangBGI-Shenzhen, Shenzhen, China.
Jian WangBGI-Shenzhen, Shenzhen, China.
Guangming LiuSchool of Computer Science, National University of Defense Technology, Changsha, China.
Yajun SongState Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China.
Yingrui LiBGI-Shenzhen, Shenzhen, China.
Yujun CuiState Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China ; BGI-Shenzhen, Shenzhen, China.
Ruifu YangState Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China ; BGI-Shenzhen, Shenzhen, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Source tracing of pathogens is critical for the control and prevention of infectious diseases. Genome sequencing by high throughput technologies is currently feasible and popular, leading to the burst of deciphered bacterial genome sequences. Utilizing the flooding genomic data for source tracing of pathogens in outbreaks is promising, and challenging as well. Here, we employed Yersinia pestis genomes from a plague outbreak at Xinghai county of China in 2009 as an example, to develop a simple two-step strategy for rapid source tracing of the outbreak. The first step was to define the phylogenetic position of the outbreak strains in a whole species tree, and the next step was to provide a detailed relationship across the outbreak strains and their suspected relatives. Through this strategy, we observed that the Xinghai plague outbreak was caused by Y. pestis that circulated in the local plague focus, where the majority of historical plague epidemics in the Qinghai-Tibet Plateau may originate from. The analytical strategy developed here will be of great help in fighting against the outbreaks of emerging infectious diseases, by pinpointing the source of pathogens rapidly with genomic epidemiological data and microbial forensics information.

Indexed as

Disease OutbreaksGenome, BacterialAnimalsDogsEvolution, MolecularGenotypeHumansPhylogenyPlagueSciuridaeSequence Analysis, DNASiphonapteraTibetYersinia pestis

Identifiers

PMID24416399
PMCPMC3887043

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.