scholarly journals Monitoring of influenza in the EISS European network member countries from October 2000 to April 2001

2001 ◽  
Vol 6 (9) ◽  
pp. 127-135 ◽  
Author(s):  
◽  
A Mosnier ◽  
W J Paget ◽  
Keyword(s):  
Influenza A ◽  
Time Lag ◽  
Influenza Surveillance ◽  
Network Member ◽  
Influenza B ◽  
European Network ◽  
Previous Season ◽  
Influenza A H1n1 ◽  
Influenza Activity ◽  
Surveillance Scheme

In countries covered by the European Influenza Surveillance Scheme (EISS), the 2000-2001 winter was marked mainly by the spread of influenza A(H1N1) viruses. Influenza B, which globally represented a minority of cases, was common later in the season and predo-minant in Great Britain, Ireland, and Portugal. Influenza activity was at its maximum during the period of January and February/March 2001 with little time lag between countries (maximum four weeks). Overall, the morbidity rates reported were much lower than for the previous season, illustrating a moderate level of influenza activity.

scholarly journals Virological analysis of fatal influenza cases in the United Kingdom during the early wave of influenza in winter 2010/11

2011 ◽  
Vol 16 (1) ◽  
Author(s):  
J Ellis ◽  
M Galiano ◽  
R Pebody ◽  
A Lackenby ◽  
CI Thompson ◽  
...  
Keyword(s):  
United Kingdom ◽  
Vaccine Strain ◽  
Influenza A ◽  
Influenza Season ◽  
Severe Illness ◽  
Influenza B ◽  
The United Kingdom ◽  
Influenza A H1n1 ◽  
Influenza Activity ◽  
Children And Young Adults

The 2010/11 winter influenza season is underway in the United Kingdom, with co-circulation of influenza A(H1N1)2009 (antigenically similar to the current 2010/11 vaccine strain), influenza B (mainly B/Victoria/2/87 lineage, similar to the 2010/11 vaccine strain) and a few sporadic influenza A(H3N2) viruses. Clinical influenza activity has been increasing. Severe illness, resulting in hospitalisation and deaths, has occurred in children and young adults and has predominantly been associated with influenza A(H1N1)2009, but also influenza B viruses.

Dual and Triple Infections With Influenza A and B Viruses: A Case-Control Study in Southern Brazil

2019 ◽  
Vol 220 (6) ◽  
pp. 961-968 ◽  
Author(s):  
Tatiana Schäffer Gregianini ◽  
Ivana R Santos Varella ◽  
Patricia Fisch ◽  
Letícia Garay Martins ◽  
Ana B G Veiga
Keyword(s):  
Influenza Virus ◽  
Influenza A ◽  
Clinical Symptoms ◽  
Antiviral Treatment ◽  
Influenza Virus Infection ◽  
H3n2 Virus ◽  
Influenza Surveillance ◽  
Influenza B Virus ◽  
Influenza B ◽  
Influenza A H1n1

Abstract Influenza surveillance is important for disease control and should consider possible coinfection with different viruses, which can be associated with disease severity. This study analyzed 34 459 patients with respiratory infection from 2009 to 2018, of whom 8011 were positive for influenza A virus (IAV) or influenza B virus (IBV). We found 18 cases of dual influenza virus infection, including coinfection with 2009 pandemic influenza A(H1N1) virus (A[H1N1]pdm09) and influenza A(H3N2) virus (1 case), A(H1N1)pdm09 and IBV (6 cases), A(H3N2) and IBV (8 cases), and nonsubtyped IAV and IBV (3 cases); and 1 case of triple infection with A(H3N2), A(H1N1)pdm09, and IBV. Compared with 76 monoinfected patients, coinfection was significantly associated with cardiopathy and death. Besides demographic characteristics and clinical symptoms, we assessed vaccination status, antiviral treatment, timeliness of antiviral use, hospitalization, and intensive care unit admission, but no significant differences were found between coinfected and monoinfected cases. Our findings indicate that influenza virus coinfection occurs more often than previously reported and that it can lead to a worse disease outcome.

Influenza Project in Myanmar

2014 ◽  
Vol 9 (5) ◽  
pp. 842-847
Author(s):  
Reiko Saito ◽  
◽  
Yadanar Kyaw ◽  
Yi Yi Myint ◽  
Clyde Dapat ◽  
...  
Keyword(s):  
Influenza A ◽  
Drug Susceptibility ◽  
Influenza Viruses ◽  
World Health ◽  
Influenza Surveillance ◽  
Influenza B ◽  
Laboratory Capacity ◽  
Influenza A H1n1 ◽  
Resistant Strains ◽  
Health Organization

The epidemiological study of influenza in Southeast Asia is limited. We surveyed influenza in Myanmar from 2007 to 2013. Nasopharyngeal swabs were collected from patients in the two cities of Yangon and Nay Pyi Taw. Samples were screened using rapid influenza diagnostic kits and identified by virus isolation. Isolates were characterized by cyclingprobe-based real-time PCR, drug susceptibility assay, and sequencing. Samples collected numbered 5,173, from which 1,686 influenza viruses were isolated during the seven-year study period. Of these, 187 strains were of seasonal influenza A(H1N1), 274 of influenza A(H1N1)pdm09, 791 of influenza A(H3N2), and 434 of influenza B. Interestingly, two zanamivir and amantadine-resistant strains each were detected in 2007 and 2008. These rare dual-resistant strains had a Q136K mutation in the NA protein and S31N substitution in the M2 protein. Our collaboration raised the influenza surveillance laboratory capacity in Myanmar and led Yangon’s National Health Laboratory – one of the nation’s leading research institutes – to being designated a National Influenza Center by the World Health Organization.

scholarly journals What will the next influenza season bring about: seasonal influenza or the new A(H1N1)v? An analysis of German influenza surveillance data

2009 ◽  
Vol 14 (32) ◽  
Author(s):  
H Uphoff ◽  
S Geis ◽  
A Grüber ◽  
A M Hauri
Keyword(s):  
Influenza A ◽  
Seasonal Influenza ◽  
Influenza Season ◽  
Influenza Viruses ◽  
Moderate Intensity ◽  
Influenza Surveillance ◽  
Influenza B ◽  
Low Intensity ◽  
Influenza A H1n1 ◽  
Using Data

For the next influenza season (winter 2009-10) the relative contributions to virus circulation and influenza-associated morbidity of the seasonal influenza viruses A(H3N2), A(H1N1) and B, and the new influenza A(H1N1)v are still unknown. We estimated the chances of seasonal influenza to circulate during the upcoming season using data of the German influenza sentinel scheme from 1992 to 2009. We calculated type and subtype-specific indices for past exposure and the corresponding morbidity indices for each season. For the upcoming season 2009-10 our model suggests that it is unlikely that influenza A(H3N2) will circulate with more than a low intensity, seasonal A(H1N1) with more than a low to moderate intensity, and influenza B with more than a low to median intensity. The probability of a competitive circulation of seasonal influenza A with the new A(H1N1)v is low, increasing the chance for the latter to dominate the next influenza season in Germany.

scholarly journals Spotlight influenza: The 2019/20 influenza season and the impact of COVID-19 on influenza surveillance in the WHO European Region

2021 ◽  
Vol 26 (40) ◽  
Author(s):  
Cornelia Adlhoch ◽  
Miriam Sneiderman ◽  
Oksana Martinuka ◽  
Angeliki Melidou ◽  
Nick Bundle ◽  
...  
Keyword(s):  
Influenza A ◽  
Influenza Season ◽  
Healthcare Access ◽  
World Health ◽  
European Region ◽  
Influenza Surveillance ◽  
Influenza B ◽  
Rapid Reduction ◽  
Influenza Activity ◽  
The Impact

Background Annual seasonal influenza activity in the northern hemisphere causes a high burden of disease during the winter months, peaking in the first weeks of the year. Aim We describe the 2019/20 influenza season and the impact of the COVID-19 pandemic on sentinel surveillance in the World Health Organization (WHO) European Region. Methods We analysed weekly epidemiological and virological influenza data from sentinel primary care and hospital sources reported by countries, territories and areas (hereafter countries) in the European Region. Results We observed co-circulation of influenza B/Victoria-lineage, A(H1)pdm09 and A(H3) viruses during the 2019/20 season, with different dominance patterns observed across the Region. A higher proportion of patients with influenza A virus infection than type B were observed. The influenza activity started in week 47/2019, and influenza positivity rate was ≥ 50% for 2 weeks (05–06/2020) rather than 5–8 weeks in the previous five seasons. In many countries a rapid reduction in sentinel reports and the highest influenza activity was observed in weeks 09–13/2020. Reporting was reduced from week 14/2020 across the Region coincident with the onset of widespread circulation of SARS-CoV-2. Conclusions Overall, influenza type A viruses dominated; however, there were varying patterns across the Region, with dominance of B/Victoria-lineage viruses in a few countries. The COVID-19 pandemic contributed to an earlier end of the influenza season and reduced influenza virus circulation probably owing to restricted healthcare access and public health measures.

scholarly journals Predominance of influenza A(H1N1)pdm09 virus genetic subclade 6B.1 and influenza B/Victoria lineage viruses at the start of the 2015/16 influenza season in Europe

2016 ◽  
Vol 21 (13) ◽  
Author(s):  
Eeva Broberg ◽  
Angeliki Melidou ◽  
Katarina Prosenc ◽  
Karoline Bragstad ◽  
Olav Hungnes ◽  
...  
Keyword(s):  
Northern Hemisphere ◽  
Influenza A ◽  
Influenza Season ◽  
Influenza B ◽  
Vaccine Component ◽  
Pdm09 Virus ◽  
Previous Season ◽  
Influenza A H1n1 ◽  
B Lineage

Influenza A(H1N1)pdm09 viruses predominated in the European influenza 2015/16 season. Most analysed viruses clustered in a new genetic subclade 6B.1, antigenically similar to the northern hemisphere vaccine component A/California/7/2009. The predominant influenza B lineage was Victoria compared with Yamagata in the previous season. It remains to be evaluated at the end of the season if these changes affected the effectiveness of the vaccine for the 2015/16 season.

scholarly journals Age-specific vaccine effectiveness of seasonal 2010/2011 and pandemic influenza A(H1N1) 2009 vaccines in preventing influenza in the United Kingdom

2012 ◽  
Vol 141 (3) ◽  
pp. 620-630 ◽  
Author(s):  
R. G. PEBODY ◽  
N. ANDREWS ◽  
D. M. FLEMING ◽  
J. McMENAMIN ◽  
S. COTTRELL ◽  
...  
Keyword(s):  
Influenza Vaccine ◽  
Pandemic Influenza ◽  
Influenza A ◽  
Vaccine Effectiveness ◽  
Influenza B ◽  
The United Kingdom ◽  
Previous Season ◽  
Negative Case ◽  
Influenza A H1n1 ◽  
Control Study

SUMMARYAn analysis was undertaken to measure age-specific vaccine effectiveness (VE) of 2010/11 trivalent seasonal influenza vaccine (TIV) and monovalent 2009 pandemic influenza vaccine (PIV) administered in 2009/2010. The test-negative case-control study design was employed based on patients consulting primary care. Overall TIV effectiveness, adjusted for age and month, against confirmed influenza A(H1N1)pdm 2009 infection was 56% (95% CI 42–66); age-specific adjusted VE was 87% (95% CI 45–97) in <5-year-olds and 84% (95% CI 27–97) in 5- to 14-year-olds. Adjusted VE for PIV was only 28% (95% CI −6 to 51) overall and 72% (95% CI 15–91) in <5-year-olds. For confirmed influenza B infection, TIV effectiveness was 57% (95% CI 42–68) and in 5- to 14-year-olds 75% (95% CI 32–91). TIV provided moderate protection against the main circulating strains in 2010/2011, with higher protection in children. PIV administered during the previous season provided residual protection after 1 year, particularly in the <5 years age group.

Absenteeism in schools during the 2009 influenza A(H1N1) pandemic: a useful tool for early detection of influenza activity in the community?

2011 ◽  
Vol 140 (7) ◽  
pp. 1328-1336 ◽  
Author(s):  
E. O. KARA ◽  
A. J. ELLIOT ◽  
H. BAGNALL ◽  
D. G. F. FOORD ◽  
R. PNAISER ◽  
...  
Keyword(s):  
Syndromic Surveillance ◽  
Influenza A ◽  
Laboratory Data ◽  
Influenza Surveillance ◽  
Surveillance Systems ◽  
H1n1 Pandemic ◽  
School Absenteeism ◽  
Sentinel Network ◽  
Influenza A H1n1 ◽  
Influenza Activity

SUMMARYCertain influenza outbreaks, including the 2009 influenza A(H1N1) pandemic, can predominantly affect school-age children. Therefore the use of school absenteeism data has been considered as a potential tool for providing early warning of increasing influenza activity in the community. This study retrospectively evaluates the usefulness of these data by comparing them with existing syndromic surveillance systems and laboratory data. Weekly mean percentages of absenteeism in 373 state schools (children aged 4–18 years) in Birmingham, UK, from September 2006 to September 2009, were compared with established syndromic surveillance systems including a telephone health helpline, a general practitioner sentinel network and laboratory data for influenza. Correlation coefficients were used to examine the relationship between each syndromic system. In June 2009, school absenteeism generally peaked concomitantly with the existing influenza surveillance systems in England. Weekly school absenteeism surveillance would not have detected pandemic influenza A(H1N1) earlier but daily absenteeism data and the development of baselines could improve the timeliness of the system.

scholarly journals Enhancement of the Influenza Surveillance System in the Russian Federation: the Main Results of the Sentinel Surveillance for Influenza and other Acute Respiratory Viral Infections

2017 ◽  
Vol 16 (1) ◽  
pp. 7-15 ◽  
Author(s):  
A. A. Sominina ◽  
E. A. Smorodintseva ◽  
K. A. Stolyarov ◽  
A. A. Mel'nikova
Keyword(s):  
Respiratory Infection ◽  
Surveillance System ◽  
Acute Respiratory Infection ◽  
Influenza A ◽  
Hospitalized Patients ◽  
Sentinel Surveillance ◽  
Influenza Surveillance ◽  
Influenza B Virus ◽  
Influenza B ◽  
Influenza A H1n1

Existing influenza surveillance system is constantly improved to obtain comprehensive information for understanding of continuously changing situation with the influenza, which is a consequence of the highest variability of the pathogen, its ability to reassortment and the imminence of emergence a new shift-variants of the virus that could cause the next pandemic events. For this purpose, since the 2010 - 2011 epidemic season, in addition to the traditional surveillance system (TS) a new well standardized sentinel surveillance system (SS) for rapid clinical and epidemiological data obtaining was introduced in Russia. A total 7812 hospitalized patients with severe acute respiratory infection (SARI) and 9854 outpatients with influenza-like illness and acute respiratory infection (ILI/ARI) were investigated during the 6-year period in SS. Percent of SARI among all hospitalized patients ranged from 1.7 to 3.1%; about 5.3 - 7.5% SARI patients were placed in the Intensive Care Unit. Etiological monitoring using PCR showed influenza spread trends in SS similar to those registered in the TS: a clear predominance of influenza A (H1N1) pdm09 among SARI and ILI/ARI in 2010 - 2011 and 2015 - 2016 epidemic seasons, influenza A (H3N2) in the epidemic seasons 2011 - 2012 and 2014 - 2015, the co-circulation of these pathogens in 2012 - 2013, 2013 - 2014 seasons in Russia. SARI caused by influenza B virus were detected less frequently than influenza A but increased influenza B activity was registered in the epidemic of 2014 -2015, when Yamagata lineage changed suddenly for the Victorian one. The average frequency of influenza diagnosis among SARI between the seasons varied in the range 12.5 - 27.1%, at the peak of the epidemic it reached 44.8 - 73.5% and was the highest during the season with active circulation of influenza A (H1N1) pdm09 virus. The rate of influenza diagnosis among ILI/ARI has always been lower than that among SARI. Studies have also shown the importance of rhinovirus, RS-virus and parainfluenza infections in SARI development. The frequency of registration of coronaviruses, metapneumovirus and bocavirus infection was very low in SARI and ILI/ARI. It was found that in all studied seasons most of SARI patients with influenza have not been vaccinated. Among ILI/ARI outpatients with influenza, the frequency of vaccinated individuals for the entire period of the study was estimated as 10.1%, which was 4.2 times higher than that in SARI, where only 2.4% of patients were vaccinated. In addition, it was found that for all six seasons the SARI patients with influenza were treated with antivirals drugs 2 times less often compared to outpatients. Analysis of data on concomitant diseases and conditions in SARI patients with influenza confirmed the leading role of pregnancy as a risk factor for hospitalization in all influenza epidemics, irrespective of their etiology. In addition, diabetes and cardiovascular disease were recognized as risk factors for influenza associated SARI development.

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

2017 ◽  
Vol 145 (7-8) ◽  
pp. 387-393
Author(s):  
Mioljub Ristic ◽  
Vesna Stojanovic ◽  
Vesna Milosevic ◽  
Jelena Radovanov ◽  
Tihomir Dugandzija ◽  
...  
Keyword(s):  
Influenza A ◽  
Laboratory Data ◽  
Weather Conditions ◽  
Respiratory Illness ◽  
Laboratory Method ◽  
World Health ◽  
School Age Children ◽  
Influenza Surveillance ◽  
Influenza B ◽  
Influenza A H1n1

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 (? = -0.04214 vs. ? = -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.

Sign in / Sign up

Export Citation Format

Share Document