Predicting seasonal influenza transmission using functional regression models with temporal dependence-Reference-Cited by-同舟云学术

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Predicting seasonal influenza transmission using functional regression models with temporal dependence

Published:2018-04-25 Issue:4 Volume:13 Page:e0194250
ISSN:1932-6203
Container-title:PLOS ONE
language:en
Short-container-title:PLoS ONE

Author:

Oviedo de la Fuente Manuel^ORCID,Febrero-Bande Manuel,Muñoz María Pilar,Domínguez Àngela

Funder

Catalan Agency for the Management of Grants for University Research (AGAUR)

Spanish Ministry of Economy and Competitiveness and European Regional Development Fund (ERDF).

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference45 articles.

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2. Epidemiology and clinical features of interpandemic influenza;J Van-Tam,2012

3. Influenza activity in Europe during eight seasons (1999–2007): an evaluation of the indicators used to measure activity and an assessment of the timing, length and course of peak activity (spread) across Europe;J Paget;BMC Infect Dis,2007

4. Survival of airborne influenza virus: effects of propagating host, relative humidity, and composition of spray fluids;F Schaffer;Arch Virol,1976

5. Zanamivir prophylaxis: An effective strategy for the prevention of influenza types A and B within households;AS Monto;J Infect Dis,2002

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3. Predicting plant disease epidemics from functionally represented weather series;Philosophical Transactions of the Royal Society B: Biological Sciences;2019-05-06

4. fda.usc: Functional Data Analysis and Utilities for Statistical Computing;CRAN: Contributed Packages;2011-01-10

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