doiSerbia

Surveillance of influenza in the post-pandemic period in the Vojvodina, Serbia, October 2010 - May 2015

Ristić Mioljub (Institute of Public Health of Vojvodina, Novi Sad + Faculty of Medicine, Novi Sad)
Stojanović Vesna D. (Institute for Child and Youth Health Care of Vojvodina, Novi Sad + Faculty of Medicine, Novi Sad)
Milošević Vesna (Institute of Public Health of Vojvodina, Novi Sad + Faculty of Medicine, Novi Sad)
Radovanov Jelena (Institute of Public Health of Vojvodina, Novi Sad)
Dugandžija Tihomir (Oncology Institute of Vojvodina, Sremska Kamenica + Faculty of Medicine, Novi Sad)
Bjelica Artur (Clinical Center of Vojvodina, Clinic for Gynecology and Obstetrics, Novi Sad + Faculty of Medicine, Novi Sad)
Petrović Vladimir (Institute of Public Health of Vojvodina, Novi Sad + Faculty of Medicine, Novi Sad)

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.

Keywords: influenza virus, epidemiology, virology, sentinel surveillance