Within-host dynamics of infection: from ecological insights to evolutionary predictions
Author(s): Restif, Olivier; Graham, Andrea L.
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Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Restif, Olivier | - |
dc.contributor.author | Graham, Andrea L. | - |
dc.date.accessioned | 2019-05-30T15:55:22Z | - |
dc.date.available | 2019-05-30T15:55:22Z | - |
dc.date.issued | 2015-08-19 | en_US |
dc.identifier.citation | Restif, Olivier, Graham, Andrea L. (2015). Within-host dynamics of infection: from ecological insights to evolutionary predictions. Philosophical Transactions of the Royal Society B: Biological Sciences, 370 (1675), 20140304 - 20140304. doi:10.1098/rstb.2014.0304 | en_US |
dc.identifier.issn | 0962-8436 | - |
dc.identifier.uri | http://arks.princeton.edu/ark:/88435/pr18m6s | - |
dc.description.abstract | The last 20 years have seen a gradual change in emphasis in infectious disease management, driven by two contrasting trends. On the one hand, global initiatives within the UN Millenium Development Goals have had a major impact on the burden of disease around the world [1]. On the other hand, a number of emerging infections have been striking unexpectedly, occasionally reaching pandemic status, but have so far resisted any attempt to predict the nature, timing and magnitude of outbreaks [2]. This has led to a reappraisal of methods for the surveillance, prevention and control of infectious diseases, characterized by contributions from a broader spectrum of disciplines than ever before, with important roles not only for clinicians and public health policymakers but also anthropologists, ecologists and mathematical modellers [3]. | en_US |
dc.format.extent | 20140304 - 20140304 | en_US |
dc.language.iso | en | en_US |
dc.relation.ispartof | Philosophical Transactions of the Royal Society B: Biological Sciences | en_US |
dc.rights | Final published version. This is an open access article. | en_US |
dc.title | Within-host dynamics of infection: from ecological insights to evolutionary predictions | en_US |
dc.type | Journal Article | en_US |
dc.identifier.doi | doi:10.1098/rstb.2014.0304 | - |
dc.date.eissued | 2015-07-06 | en_US |
dc.identifier.eissn | 1471-2970 | - |
pu.type.symplectic | http://www.symplectic.co.uk/publications/atom-terms/1.0/journal-article | en_US |
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File | Description | Size | Format | |
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within host.pdf | 323.64 kB | Adobe PDF | View/Download |
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