Please use this identifier to cite or link to this item: https://open.uns.ac.rs/handle/123456789/3806
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dc.contributor.authorMioljub Ristićen_US
dc.contributor.authorVesna Stojanovićen_US
dc.contributor.authorVesna Milosevicen_US
dc.contributor.authorJelena Radovanoven_US
dc.contributor.authorTihomir Dugandžijaen_US
dc.contributor.authorArtur Bjelicaen_US
dc.contributor.authorVladimir Petrovićen_US
dc.date.accessioned2019-09-23T10:30:08Z-
dc.date.available2019-09-23T10:30:08Z-
dc.date.issued2017-01-01-
dc.identifier.issn3708179en_US
dc.identifier.urihttps://open.uns.ac.rs/handle/123456789/3806-
dc.description.abstract© 2017, Serbia Medical Society. All rights reserved. Introduction/Objective In August 2010, World Health Organization declared the beginning of the postpandemic phase of influenza surveillance. The aim of this study was to evaluate the epidemiological and virological characteristics of influenza and correlation between the influenza occurrence and weather conditions. Methods We used surveillance reports of influenza and laboratory data from October 2010 to May 2015. Data for the analysis were collected through sentinel surveillance of influenza-like illness (ILI), severe acute respiratory illness (SARI), acute respiratory distress syndrome, and by virological surveillance. The nasal and throat swabs from all influenza cases were performed by the PCR laboratory method. Results During the observed period, the highest rates of ILI were registered during the 2010/11 and 2012/13 seasons, with influenza A (H1N1)pdm09 and influenza B being predominant, respectively. The highest weekly age-specific rates of ILI were registered in school-age children (ages 5-14). Out of 1,466 samples collected, 720 (49.1%) were laboratory confirmed as influenza, and influenza A virus was more frequently detected than influenza B. Among confirmed cases of influenza, participation of patients with SARI or ILI was nearly equal (46% vs. 44.1%). There was a weak correlation observed between the decrease in temperature and rainfall and the increase in influenza detection (ρ = -0.04214 vs. ρ = -0.01545, respectively, p >0.05). Conclusion There is a need for continuous surveillance in order to predict seasonal trends and prepare for a timely response to influenza outbreak.en_US
dc.language.isoenen_US
dc.relation.ispartofSrpski Arhiv za Celokupno Lekarstvoen_US
dc.subjectinfluenza virusen_US
dc.subjectepidemiologyen_US
dc.subjectvirologyen_US
dc.subjectsentinel surveillanceen_US
dc.titleSurveillance of influenza in the post-pandemic period in Vojvodina, Serbia, October 2010 - May 2015en_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.doi10.2298/SARH160901068R-
dc.identifier.scopus2-s2.0-85033789081-
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/85033789081-
dc.description.versionPublisheden_US
dc.relation.lastpage393en_US
dc.relation.firstpage387en_US
dc.relation.issue7-8en_US
dc.relation.volume145en_US
item.fulltextNo Fulltext-
item.grantfulltextnone-
crisitem.author.deptMedicinski fakultet, Katedra za epidemiologiju-
crisitem.author.deptMedicinski fakultet, Katedra za pedijatriju-
crisitem.author.deptMedicinski fakultet, Katedra za epidemiologiju-
crisitem.author.deptMedicinski fakultet, Katedra za ginekologiju i akušerstvo-
crisitem.author.deptMedicinski fakultet, Katedra za epidemiologiju-
crisitem.author.orcid0000-0002-6923-189X-
crisitem.author.orcid0000-0001-6279-0413-
crisitem.author.orcid0000-0002-2052-6232-
crisitem.author.parentorgMedicinski fakultet-
crisitem.author.parentorgMedicinski fakultet-
crisitem.author.parentorgMedicinski fakultet-
crisitem.author.parentorgMedicinski fakultet-
crisitem.author.parentorgMedicinski fakultet-
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