• Applications of bioinformatics...

Treffer: Applications of bioinformatics and computational biology to influenza surveillance and vaccine strain selection

Title:
Applications of bioinformatics and computational biology to influenza surveillance and vaccine strain selection
Authors:
SMITH, Derek J
Source:
Influenza vaccineVaccine. 21(16):1758-1761
Publisher Information:
Oxford: Elsevier, 2003.
Publication Year:
2003
Physical Description:
print, 48 ref
Original Material:
INIST-CNRS
Subject Terms:
Biotechnology, Biotechnologies, Immunology, immunopathology, allergology, Immunologie, immunopathologie, allergologie, Microbiology, infectious diseases, Microbiologie, maladies infectieuses, Virology, Virologie, Sciences biologiques et medicales, Biological and medical sciences, Sciences medicales, Medical sciences, Pathologie infectieuse, Infectious diseases, Viroses, Viral diseases, Viroses humaines, Human viral diseases, Viroses respiratoires et orl, Viral diseases of the respiratory system and ent viral diseases, Informatique, statistique et modelisations biomedicales, Computerized, statistical medical data processing and models in biomedicine, Généralités. Méthodes, General aspects. Methods, Infection, Infección, Virose, Viral disease, Virosis, Algorithmique, Algorithmics, Algorítmica, Bioinformatique, Bioinformatics, Bioinformática, Grippe, Influenza, Gripe, Souche vaccinale, Vaccine strain, Cepa de vacuna, Surveillance, Vigilancia, Vaccin, Vaccine, Vacuna
Document Type:
Fachzeitschrift Article
File Description:
text
Language:
English
Author Affiliations:
Department of Zoology, University of Cambridge, Downing Street, Cambridge CB2 3EJ, United Kingdom
Santa Fe Institute, 1399 Hyde Park Road, Santa Fe, NM 87501, United States
Department of Virology, Erasmus University, P.O. Box 1738, Dr. Moleswaterplein 50, 3015 GE Rotterdam, Netherlands
ISSN:
0264-410X
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=14733996
Rights:
Copyright 2003 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Infectious pathology

Public health. Hygiene-occupational medicine. Information processing
Accession Number:
edscal.14733996
Database:
PASCAL Archive

Weitere Informationen

In recent years, collaborations often between mathematical and computational biologists and scientists in the World Health Organization (WHO) global influenza surveillance network, have resulted in a number of mathematical and computational advances including: increasing the resolution at which antigenic surveillance data can be analyzed, providing methods for genetic analysis and prediction, and an increased understanding of the determinants of repeated influenza vaccination. These advances increase the information extracted from influenza surveillance and increase the quantitative data available for the vaccine strain selection process. This mathematical and computational work is possible because of the wealth of information collected over many years by the WHO global influenza surveillance network, and further advances will be greatly facilitated by implementation of the proposed strengthening of virological and epidemiological surveillance in the WHO global agenda on influenza surveillance and control.