scholarly journals Barriers to pandemic influenza vaccination and uptake of seasonal influenza vaccine in the post-pandemic season in Germany

2012 ◽  
Vol 12 (1) ◽  
Author(s):  
Merle M Böhmer ◽  
Dietmar Walter ◽  
Gerhard Falkenhorst ◽  
Stephan Müters ◽  
Gérard Krause ◽  
...  
2015 ◽  
Vol 11 (8) ◽  
pp. 2102-2112 ◽  
Author(s):  
Timo Vesikari ◽  
Aino Forstén ◽  
Ashwani Arora ◽  
Theodore Tsai ◽  
Ralf Clemens

2019 ◽  
Author(s):  
Zhongjie Li ◽  
Jianxing Yu ◽  
Xiang Ren ◽  
Chuchu Ye ◽  
Keqing Tian ◽  
...  

BACKGROUND Influenza vaccination is recommended for nurses in China but is not mandatory or offered free of charge. Identifying factors that impact seasonal influenza vaccine acceptance among nurses in China may inform strategies to increase vaccination coverage in this high priority group. OBJECTIVE To determine influenza vaccination coverage and the principal factors influencing influenza vaccination among nurses in China. METHODS During March 22-April 1, 2018, we conducted an opt-in internet panel survey among registered nurses in China. Respondents were recruited from an internet-based training platform for nurses. We assessed influenza vaccination status and factors influencing influenza vaccine acceptance and refusal. RESULTS Among 22,888 nurses invited to participate, 4,706 responded, and 4,153 were valid respondents. Overall, 257 (6%) nurses reported receiving the seasonal influenza vaccine during the 2017/18 season. Vaccination coverage was highest among nurses working in Beijing (10%, P<.001) and nurses working in primary care (12%, P=.023). The top three reasons for not being vaccinated were lack of time (28%), not knowing where and when to get vaccinated (14%), and lack of confidence in the vaccine’s effectiveness (12%). Overall, 41% of nurses reported experiencing at least one episode of influenza-like illness (ILI) during the 2017/18 season; 87% of nurses kept working while sick, and 25% of nurses reported ever recommending influenza vaccination to patients. Compared with nurses who did not receive influenza vaccination in the 2017/18 season, nurses who received influenza vaccination were more likely to recommend influenza vaccination to patients (67% vs. 22%, P<.001). CONCLUSIONS Influenza vaccination coverage among nurses was low, and only a small proportion recommended influenza vaccine to patients. Our findings highlight the need for a multi-pronged strategy to increase influenza vaccination among nurses in China.


2011 ◽  
Vol 16 (2) ◽  
Author(s):  
P Hardelid ◽  
D M Fleming ◽  
J McMenamin ◽  
N Andrews ◽  
C Robertson ◽  
...  

Binary file ES_Abstracts_Final_ECDC.txt matches


2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
T Eamchotchawalit ◽  
P Piyaraj ◽  
P Narongdej ◽  
S Charoensakulchai ◽  
C Chanthowong

Abstract Background Influenza vaccination is the most effective way of preventing influenza infections and it is recommended for the entire health care personnel in Thailand. However, the evidence of influenza vaccine effectiveness (VE) among health care personnel is lacking in Thailand. The objective of this study was to estimate influenza vaccine effectiveness (VE) against laboratory confirmed medically attended influenza illness for the 2018/9 season among health care personnel who at risk for influenza infection in Bangkok, the capital of Thailand. Methods Throat swab specimens were collected from patients with influenza-like illness (ILI) presenting to outpatient clinics and tested for influenza virus by RT-PCR, between October 2018 and September 2019. A test-negative case-control design was used to estimate influenza VE against medically-attended laboratory-confirmed influenza in outpatient settings. Cases were influenza-like illness (ILI) patients who tested positive for influenza, and controls were influenza negative patients. Results During the 2018/19 season 373 samples were collected; 57 (15.3%) were positive for influenza, 70.2% A un-subtyped and 29.8% B. Adjusted VE against all influenza viruses for this influenza season was -31.7% (95% confidence interval (CI): -40.2 to 66.4), against influenza A un-subtyped, it was 43.9% (95% CI: -30.6 to 75.9) and against influenza B, it was 52.0% (95% CI: (-73.9 to 86.8). Conclusions The seasonal influenza vaccine was moderately effective against medically attended lab-confirmed influenza infection in health care personnel in Bangkok, Thailand in the 2018-19 influenza season. Key messages The seasonal influenza vaccine was moderately effective against medically attended lab-confirmed influenza infection in health care personnel in Bangkok. Increasing seasonal influenza vaccination among health care personnel in Thailand may decrease medically attended influenza-associated ILI cases in this population.


2021 ◽  
Author(s):  
◽  
Sweta Pragyan Praharaj

Seasonal influenza viruses in humans infect approximately 5 [percent] to 15 [percent] of the population and cause an estimated half-million deaths worldwide per year. Among the four co-circulating seasonal influenza viruses, subtype H3N2 and H1N1 influenza A viruses have rapid mutations and frequent antigenic drift events, leading to frequent updates of vaccine strains in the seasonal influenza vaccine. Seasonal influenza vaccination is the primary option to prevent and control influenza epidemics, and the selection of an antigenic matched vaccine strain is one of the keys to the success of seasonal influenza vaccination. Thus, it is critical to have robust and rapid antigenic analyses of epidemic strains and estimates of their genetic and antigenic relationship with the vaccine strain in use. In this study, we present vaccineEvol, an interactive and user-friendly web visualization tool that allows researchers to comprehend large sequence datasets into antigenic and genetic analyses. With the integration of the genomic sequences from the public database, the tool enables the users to track and analyze both genetic and antigenic evolutionary dynamics of seasonal influenza viruses. Primarily, our application can quantify both genetic and antigenic distances among seasonal H3N2 influenza A viruses and display genetic and antigenic variants using phylogenetic tree and antigenic cartography, respectively. The users can also interactively analyze genetic and antigenic variants between the phylogenetic tree and antigenic cartography. The application performs machine learning based computations in the backend, which was previously developed in our lab, and efficient construction of trees and maps in the frontend. In summary, in this study, an interactive web server was developed for rapid antigenic and genetic analyses of seasonal influenza viruses and thus facilitate seasonal influenza vaccine strain selection.


2015 ◽  
Vol 20 (5) ◽  
Author(s):  
A Haveri ◽  
N Ikonen ◽  
I Julkunen ◽  
A Kantele ◽  
V J Anttila ◽  
...  

Virus strains in the seasonal influenza vaccine for the 2014/15 northern hemisphere season remained unchanged from those in 2013/14. During spring 2014, drifted influenza A(H3N2) viruses, subgroup 3C.3a, were detected in Finland; another subgroup, 3C.2a, emerged in the 2014/15 season and has predominated. We monitored antibody responses against vaccine and epidemic strains (2013/14 and 2014/15) among Finnish healthcare workers after influenza vaccination with the 2013/14 vaccine. The data suggest reduced cross-protection towards both subgroups of drifted A(H3N2) viruses.


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