Vers une signature spatiale de la vulnérabilité épidémiologique en France : l'exemple de la grippe

Lysianuk, Benjamin; Tabeaud, Martine

doi:10.4000/physio-geo.1320

Cited by 4 publications

(2 citation statements)

References 3 publications

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“…A large number of works focused on the characterization of influenza spatial propagation in different countries and at different geographic scales 6 , 9 , 11 – 13 , 35 . The novelty of our approach is to systematically identify recurrent patterns across seasons, distinguish them from unique patterns in a fully hierarchical way, and to connect the patterns at epidemic onset with those at peak time.…”

Section: Discussionmentioning

confidence: 99%

Shifting patterns of seasonal influenza epidemics

Coletti

Poletto

Turbelin

et al. 2018

Sci Rep

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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.

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Section: Discussionmentioning

confidence: 99%

Shifting patterns of seasonal influenza epidemics

Coletti

Poletto

Turbelin

et al. 2018

Sci Rep

View full text Add to dashboard Cite

show abstract

“…A large number of works focused on the characterization of influenza spatial propagation in different countries and at different geographic scales [31,23,65,49,22,38]. The novelty of our approach is to systematically identify recurrent patterns across seasons, distinguish them from unique patterns in a fully hierarchical way, and to connect the patterns at epidemic onset with those at peak time.…”

Section: Discussionmentioning

confidence: 99%

Shifting patterns of seasonal influenza epidemics

Coletti

Poletto

Turbelin

et al. 2018

Preprint

View full text Add to dashboard Cite

Seasonal waves of influenza display a complex spatiotemporal pattern resulting from the interplay of biological, socio-demographic, 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 influenzalike-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, applies 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.

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2018

Philosophies

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Vers une signature spatiale de la vulnérabilité épidémiologique en France : l'exemple de la grippe

Cited by 4 publications

References 3 publications

Shifting patterns of seasonal influenza epidemics

Shifting patterns of seasonal influenza epidemics

Shifting patterns of seasonal influenza epidemics

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