Morris, Dylan H., Gostic, Katelyn M., Pompei, Simone, Bedford, Trevor, Luksza, Marta, Neher, Richard A., Grenfell, Bryan T., Laessig, Michael and McCauley, John W. (2018). Predictive Modeling of Influenza Shows the Promise of Applied Evolutionary Biology. Trends Microbiol., 26 (2). S. 102 - 119. OXFORD: ELSEVIER SCI LTD. ISSN 1878-4380
Full text not available from this repository.Abstract
Seasonal influenza is controlled through vaccination campaigns. Evolution of influenza virus antigens means that vaccines must be updated to match novel strains, and vaccine effectiveness depends on the ability of scientists to predict nearly a year in advance which influenza variants will dominate in upcoming seasons. In this review, we highlight a promising new surveillance tool: predictive models. Developed through data-sharing and close collaboration between the World Health Organization and academic scientists, these models use surveillance data to make quantitative predictions regarding influenza evolution. Predictive models demonstrate the potential of applied evolutionary biology to improve public health and disease control. We review the state of influenza predictive modeling and discuss next steps and recommendations to ensure that these models deliver upon their considerable biomedical promise.
| Item Type: | Journal Article | ||||||||||||||||||||||||||||||||||||||||
| Creators: |
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| URN: | urn:nbn:de:hbz:38-197817 | ||||||||||||||||||||||||||||||||||||||||
| DOI: | 10.1016/j.tim.2017.09.004 | ||||||||||||||||||||||||||||||||||||||||
| Journal or Publication Title: | Trends Microbiol. | ||||||||||||||||||||||||||||||||||||||||
| Volume: | 26 | ||||||||||||||||||||||||||||||||||||||||
| Number: | 2 | ||||||||||||||||||||||||||||||||||||||||
| Page Range: | S. 102 - 119 | ||||||||||||||||||||||||||||||||||||||||
| Date: | 2018 | ||||||||||||||||||||||||||||||||||||||||
| Publisher: | ELSEVIER SCI LTD | ||||||||||||||||||||||||||||||||||||||||
| Place of Publication: | OXFORD | ||||||||||||||||||||||||||||||||||||||||
| ISSN: | 1878-4380 | ||||||||||||||||||||||||||||||||||||||||
| Language: | English | ||||||||||||||||||||||||||||||||||||||||
| Faculty: | Faculty of Mathematics and Natural Sciences | ||||||||||||||||||||||||||||||||||||||||
| Divisions: | Faculty of Mathematics and Natural Sciences > Department of Physics > Institut für Biologische Physik | ||||||||||||||||||||||||||||||||||||||||
| Subjects: | no entry | ||||||||||||||||||||||||||||||||||||||||
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| Refereed: | Yes | ||||||||||||||||||||||||||||||||||||||||
| URI: | http://kups.ub.uni-koeln.de/id/eprint/19781 |
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