ArticleCladistics : the international journal of the Willi Hennig Society2011
The Supramap project: linking pathogen genomes with geography to fight emergent infectious diseases.
Article in Cladistics : the international journal of the Willi Hennig Society, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled 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.
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
12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 24 citations in OpenAlex.
- A systematic review of spatial decision support systems in public health informatics supporting the identification of high risk areas for zoonotic disease outbreaks.International journal of health geographics · 2018Pooled it
- Visualization and analytics tools for infectious disease epidemiology: a systematic review.Journal of biomedical informatics · 2014Pooled it
- Fundamentals of genomic epidemiology, lessons learned from the coronavirus disease 2019 (COVID-19) pandemic, and new directions.Antimicrobial stewardship & healthcare epidemiology : ASHE · 2021Review
- Phylogenetic Concepts and Tools Applied to Epidemiologic Investigations of Infectious Diseases.Microbiology spectrum · 2019Review
- Pathogen metadata platform: software for accessing and analyzing pathogen strain information.BMC bioinformatics · 2016Article
- Zika Virus: Medical Countermeasure Development Challenges.PLoS neglected tropical diseases · 2016Review
- Predicting the emergence of H3N2 influenza viruses reveals contrasted modes of evolution of HA and NA antigens.Journal of molecular evolution · 2014Article
- Article
- GenGIS 2: geospatial analysis of traditional and genetic biodiversity, with new gradient algorithms and an extensible plugin framework.PloS one · 2013Article
- Analysis and visualization of H7 influenza using genomic, evolutionary and geographic information in a modular web service.Cladistics : the international journal of the Willi Hennig Society · 2012Article
- Article
- Identifying genetic markers of adaptation for surveillance of viral host jumps.Nature reviews. Microbiology · 2010Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Novel pathogens have the potential to become critical issues of national security, public health and economic welfare. As demonstrated by the response to Severe Acute Respiratory Syndrome (SARS) and influenza, genomic sequencing has become an important method for diagnosing agents of infectious disease. Despite the value of genomic sequences in characterizing novel pathogens, raw data on their own do not provide the information needed by public health officials and researchers. One must integrate knowledge of the genomes of pathogens with host biology and geography to understand the etiology of epidemics. To these ends, we have created an application called Supramap (http://supramap.osu.edu) to put information on the spread of pathogens and key mutations across time, space and various hosts into a geographic information system (GIS). To build this application, we created a web service for integrated sequence alignment and phylogenetic analysis as well as methods to describe the tree, mutations, and host shifts in Keyhole Markup Language (KML). We apply the application to 239 sequences of the polymerase basic 2 (PB2) gene of recent isolates of avian influenza (H5N1). We map a mutation, glutamic acid to lysine at position 627 in the PB2 protein (E627K), in H5N1 influenza that allows for increased replication of the virus in mammals. We use a statistical test to support the hypothesis of a correlation of E627K mutations with avian-mammalian host shifts but reject the hypothesis that lineages with E627K are moving westward. Data, instructions for use, and visualizations are included as supplemental materials at: http://supramap.osu.edu/sm/supramap/publications. © The Willi Hennig Society 2010.
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.