ArticleeLife2014
Improving pandemic influenza risk assessment.
Open access · goldAbstract read
In one paragraph
Article in eLife, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.
0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
5.1field-weighted citation impact, top 4% of its field
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.
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Who cites it
44 citing papers in PubMed, 71 citations in OpenAlex.
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- Quantifying viral pandemic potential from experimental transmission studies.bioRxiv : the preprint server for biology · 2025Article
- Epidemiology of influenza from 2017 to 2022 in a national children's regional medical center.BMC pediatrics · 2025Article
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- The development trend of influenza in China from 2010 to 2019.Human vaccines & immunotherapeutics · 2022Article
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- From Protein to Pandemic: The Transdisciplinary Approach Needed to Prevent Spillover and the Next Pandemic.Viruses · 2021Review
- Cross-scale dynamics and the evolutionary emergence of infectious diseases.Virus evolution · 2021Article
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- Deep mutational scanning of SARS-CoV-2 receptor binding domain reveals constraints on folding and ACE2 binding.bioRxiv : the preprint server for biology · 2020Article
- Comparative Review of SARS-CoV-2, SARS-CoV, MERS-CoV, and Influenza A Respiratory Viruses.Frontiers in immunology · 2020Review
- Artificial Light at Night (ALAN): A Potential Anthropogenic Component for the COVID-19 and HCoVs Outbreak.Frontiers in endocrinology · 2020Review
- Pathogen Genomics in Public Health.The New England journal of medicine · 2019Article
- Article
- Comprehensive mapping of adaptation of the avian influenza polymerase protein PB2 to humans.eLife · 2019Article
- Fogarty International Center collaborative networks in infectious disease modeling: Lessons learnt in research and capacity building.Epidemics · 2019Review
- Current and future influenza vaccines.Nature medicine · 2019Review
- Advances in Visualization Tools for Phylogenomic and Phylodynamic Studies of Viral Diseases.Frontiers in public health · 2019Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
28 authors at 14 institutions in 4 countries.
Colin A RussellColin A Russell Department of Veterinary Medicine, University of Cambridge, Cambridge, United Kingdom.
Peter M KassonPeter M Kasson Department of Biomedical Engineering, University of Virginia, Charlottesville, United States.
Ruben O DonisRuben O Donis Influenza Division, Centers for Disease Control and Prevention, Atlanta, United States.
Steven RileySteven Riley Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London, United Kingdom; Fogarty International Center, National Institutes of Health, Bethesda, United States.
John DunbarJohn Dunbar Bioscience Division, Los Alamos National Laboratory, Los Alamos, United States.
Andrew RambautAndrew Rambaut Fogarty International Center, National Institutes of Health, Bethesda, United States; Institute of Evolutionary Biology, University of Edinburgh, Edinburgh, United Kingdom.
Jason AsherJason Asher Leidos contract support to the Division of Analytic Decision Support, Biomedical Advanced Research and Development Authority, Department of Health and Human Services, Washington, United States.
Stephen BurkeStephen Burke Influenza Division, Centers for Disease Control and Prevention, Atlanta, United States.
C Todd DavisC Todd Davis Influenza Division, Centers for Disease Control and Prevention, Atlanta, United States.
Rebecca J GartenRebecca J Garten Influenza Division, Centers for Disease Control and Prevention, Atlanta, United States.
Sandrasegaram GnanakaranSandrasegaram Gnanakaran Bioscience Division, Los Alamos National Laboratory, Los Alamos, United States.
Simon I HaySimon I Hay Spatial Ecology and Epidemiology Group, Department of Zoology, University of Oxford, Oxford, United Kingdom.ORCID http://orcid.org/0000-0002-0611-7272
Sander HerfstSander Herfst Department of Viroscience, Postgraduate School of Molecular Medicine, Erasmus Medical Center, Rotterdam, Netherlands.
Nicola S LewisNicola S Lewis Department of Zoology, University of Cambridge, Cambridge, United Kingdom.
James O Lloyd-SmithJames O Lloyd-Smith Fogarty International Center, National Institutes of Health, Bethesda, United States; Department of Ecology and Evolutionary Biology, University of California, Los Angeles, Los Angeles, United States.
Catherine A MackenCatherine A Macken Bioscience Division, Los Alamos National Laboratory, Los Alamos, United States.
Sebastian Maurer-StrohSebastian Maurer-Stroh Bioinformatics Institute, Agency for Science Technology and Research, Singapore, Singapore; National Public Health Laboratory, Communicable Diseases Division, Ministry of Health, Singapore, Singapore; School of Biological Sciences, Nanyang Technological University, Singapore, Singapore.
Elizabeth NeuhausElizabeth Neuhaus Influenza Division, Centers for Disease Control and Prevention, Atlanta, United States.
Colin R ParrishColin R Parrish James A Baker Institute, College of Veterinary Medicine, Cornell University, Ithaca, United States.
Kim M PepinKim M Pepin Fogarty International Center, National Institutes of Health, Bethesda, United States; National Wildlife Research Center, United States Department of Agriculture, Fort Collins, United States.
Samuel S ShepardSamuel S Shepard Influenza Division, Centers for Disease Control and Prevention, Atlanta, United States.
David L SmithDavid L Smith Fogarty International Center, National Institutes of Health, Bethesda, United States; Spatial Ecology and Epidemiology Group, Department of Zoology, University of Oxford, Oxford, United Kingdom; Sanaria Institute for Global Health and Tropical Medicine, Rockville, United States.ORCID http://orcid.org/0000-0003-4367-3849
David L SuarezDavid L Suarez Exotic and Emerging Avian Viral Diseases Research Unit, Southeast Poultry Research Laboratories, United States Department of Agriculture, Athens, United States.
Susan C TrockSusan C Trock Influenza Division, Centers for Disease Control and Prevention, Atlanta, United States.
Marc-Alain WiddowsonMarc-Alain Widdowson Influenza Division, Centers for Disease Control and Prevention, Atlanta, United States.
Dylan B GeorgeDylan B George Fogarty International Center, National Institutes of Health, Bethesda, United States; Division of Analytic Decision Support, Biomedical Advanced Research and Development Authority, Assistant Secretary for Preparedness and Response, Department of Health and Human Services, Washington, DC, United States.
Marc LipsitchMarc Lipsitch Center for Communicable Disease Dynamics, Department of Epidemiology, Harvard School of Public Health, Boston, United States; Department of Immunology and Infectious Diseases, Harvard School of Public Health, Boston, United States.ORCID http://orcid.org/0000-0003-1504-9213
Jesse D BloomJesse D Bloom Division of Basic Sciences, Fred Hutchinson Cancer Research Center, Seattle, United States.ORCID http://orcid.org/0000-0003-1267-3408
Centers for Disease Control and Prevention · USNational Institutes of Health · USLos Alamos National Laboratory · USUniversity of Cambridge · GBAgency for Science, Technology and Research · SGBoston University · USCornell University · USErasmus University Rotterdam · NLFred Hutch Cancer Center · USImperial College London · GBLeidos (United States) · USUnited States Department of Agriculture · USUniversity of Oxford · GBUniversity of Virginia · US
Funding
Models for synthesising molecular, clinical and epidemiological data, and translaU01GM110721 · NIGMS · IMPERIAL COLLEGE OF SCIENCE, TECHNOLOGY AND MEDICINE · PI CAUCHEMEZ, SIMON, FERGUSON, NEIL MORRIS · 2014 to 2018
$1.9MUnderstanding fusion peptide mutations in influenza hemagglutininR01GM098304 · NIGMS · UNIVERSITY OF VIRGINIA · PI KASSON, PETER M · 2012 to 2016
$1.7MMapping epistasis in molecular evolution: the influenza nucleoproteinR01GM102198 · NIGMS · FRED HUTCHINSON CANCER RESEARCH CENTER · PI BLOOM, JESSE D · 2012 to 2016
$1.6MMedical Research Council MR/J008761/1Medical Research Council MR/K010174/1NIGMS NIH HHS R01 GM098304NIGMS NIH HHS R01 GM102198NIGMS NIH HHS U01 GM110721Wellcome Trust 095066Wellcome Trust 095831
Abstract
Assessing the pandemic risk posed by specific non-human influenza A viruses is an important goal in public health research. As influenza virus genome sequencing becomes cheaper, faster, and more readily available, the ability to predict pandemic potential from sequence data could transform pandemic influenza risk assessment capabilities. However, the complexities of the relationships between virus genotype and phenotype make such predictions extremely difficult. The integration of experimental work, computational tool development, and analysis of evolutionary pathways, together with refinements to influenza surveillance, has the potential to transform our ability to assess the risks posed to humans by non-human influenza viruses and lead to improved pandemic preparedness and response.
Indexed as
Base SequenceBiological EvolutionEpidemiological MonitoringGeographyHumansInfluenza A virusInfluenza, HumanModels, BiologicalPandemicsPublic HealthRisk Assessmentemergenceevolutionary biologygenomicshumaninfectious diseaseinfluenzamicrobiologypandemicviruses
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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.