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http://hdl.handle.net/1942/28217Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | COLETTI, Pietro | - |
| dc.contributor.author | Poletto, Chiara | - |
| dc.contributor.author | Turbelin, Clément | - |
| dc.contributor.author | Blanchon, Thierry | - |
| dc.contributor.author | Colizza, Vittoria | - |
| dc.date.accessioned | 2019-05-13T14:29:03Z | - |
| dc.date.available | 2019-05-13T14:29:03Z | - |
| dc.date.issued | 2018 | - |
| dc.identifier.citation | Scientific reports (Nature Publishing Group), 8 (Art N° 12786) | - |
| dc.identifier.issn | 2045-2322 | - |
| dc.identifier.uri | http://hdl.handle.net/1942/28217 | - |
| dc.description.abstract | Seasonal waves of influenza display a complex spatiotemporal pattern resulting from the interplay of biological, sociodemographic, and environmental factors. At country level many studies characterized the robust properties of annual epidemics, depicting a typical season. Here we analyzed season-by-season variability, introducing a clustering approach to assess the deviations from typical spreading patterns. The classification is performed on the similarity of temporal configurations of onset and peak times of regional epidemics, based on influenza-like-illness time-series in France from 1984 to 2014. We observed a larger variability in the onset compared to the peak. Two relevant classes of clusters emerge: groups of seasons sharing similar recurrent spreading patterns (clustered seasons) and single seasons displaying unique patterns (monoids). Recurrent patterns exhibit a more pronounced spatial signature than unique patterns. We assessed how seasons shift between these classes from onset to peak depending on epidemiological, environmental, and socio-demographic variables. We found that the spatial dynamics of influenza and its association with commuting, previously observed as a general property of French influenza epidemics, apply only to seasons exhibiting recurrent patterns. The proposed methodology is successful in providing new insights on influenza spread and can be applied to incidence time-series of different countries and different diseases. | - |
| dc.description.sponsorship | The work was partially supported by the EC-Health contract no. 278433 (PREDEMICS) to PC, CP and VC and by the French ANR project HarMS-flu (ANR-12-MONU-0018) to PC and VC. PC also acknowledges partial support from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement 682540 - TransMID). | - |
| dc.language.iso | en | - |
| dc.rights | Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. Te images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. | - |
| dc.subject.other | Influenza; Clustering; Seasonality | - |
| dc.title | Shifting patterns of seasonal influenza epidemics | - |
| dc.type | Journal Contribution | - |
| dc.identifier.volume | 8 | - |
| local.bibliographicCitation.jcat | A1 | - |
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| local.type.refereed | Refereed | - |
| local.type.specified | Article | - |
| local.bibliographicCitation.artnr | 12786 | - |
| local.type.programme | H2020 | - |
| local.relation.h2020 | 682540 | - |
| dc.identifier.doi | 10.1038/s41598-018-30949-x | - |
| dc.identifier.isi | 000442607800015 | - |
| item.fullcitation | COLETTI, Pietro; Poletto, Chiara; Turbelin, Clément; Blanchon, Thierry & Colizza, Vittoria (2018) Shifting patterns of seasonal influenza epidemics. In: Scientific reports (Nature Publishing Group), 8 (Art N° 12786). | - |
| item.accessRights | Open Access | - |
| item.fulltext | With Fulltext | - |
| item.contributor | COLETTI, Pietro | - |
| item.contributor | Poletto, Chiara | - |
| item.contributor | Turbelin, Clément | - |
| item.contributor | Blanchon, Thierry | - |
| item.contributor | Colizza, Vittoria | - |
| item.validation | ecoom 2019 | - |
| crisitem.journal.issn | 2045-2322 | - |
| crisitem.journal.eissn | 2045-2322 | - |
| Appears in Collections: | Research publications | |
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| shifting_patterns.pdf | Published version | 3.07 MB | Adobe PDF | View/Open |
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