Literature DB >> 31988202

Influenza Vaccine Effectiveness: New Insights and Challenges.

Huong Q McLean1, Edward A Belongia1.   

Abstract

Methods for assessing influenza vaccine efficacy and effectiveness have evolved over six decades. Randomized trials remain the gold standard for licensure, but observational studies are needed for annual assessment of vaccine effectiveness (VE). The test-negative design (TND) has become the de facto standard for these field studies. Patients who seek medical care with acute respiratory illness are tested for influenza, and VE is estimated from the odds of vaccination among influenza cases versus test-negative controls. VE varies across seasons, populations, age groups, and products, but VE estimates are consistently higher for A(H1N1)pdm09 and type B compared with A(H3N2). VE studies are increasingly used in combination with molecular epidemiology to understand the viral and immune system factors that drive clinical efficacy and effectiveness. The emerging field of immunoepidemiology offers the potential to understand complex host-virus interactions that affect vaccine protection, and this knowledge will contribute to universal vaccine development.
Copyright © 2021 Cold Spring Harbor Laboratory Press; all rights reserved.

Entities:  

Mesh:

Substances:

Year:  2021        PMID: 31988202      PMCID: PMC8168527          DOI: 10.1101/cshperspect.a038315

Source DB:  PubMed          Journal:  Cold Spring Harb Perspect Med        ISSN: 2157-1422            Impact factor:   6.915


  6 in total

1.  The Mediating Role of the Perceived COVID-19 Vaccine Benefits: Examining Israeli Parents' Perceptions Regarding Their Adolescents' Vaccination.

Authors:  Shiran Bord; Carmit Satran; Ayelet Schor
Journal:  Vaccines (Basel)       Date:  2022-06-09

2.  Next generation methodology for updating HA vaccines against emerging human seasonal influenza A(H3N2) viruses.

Authors:  James D Allen; Ted M Ross
Journal:  Sci Rep       Date:  2021-03-02       Impact factor: 4.379

3.  MADE: A Computational Tool for Predicting Vaccine Effectiveness for the Influenza A(H3N2) Virus Adapted to Embryonated Eggs.

Authors:  Hui Chen; Junqiu Wang; Yunsong Liu; Ivy Quek Ee Ling; Chih Chuan Shih; Dafei Wu; Zhiyan Fu; Raphael Tze Chuen Lee; Miao Xu; Vincent T Chow; Sebastian Maurer-Stroh; Da Zhou; Jianjun Liu; Weiwei Zhai
Journal:  Vaccines (Basel)       Date:  2022-06-06

4.  The effect of influenza vaccine in reducing the severity of clinical outcomes in patients with COVID-19: a systematic review and meta-analysis.

Authors:  Hossam Waleed Almadhoon; Aboalmagd Hamdallah; Sarah Makram Elsayed; Abdulrahman Ibrahim Hagrass; Mohammed Tarek Hasan; Aya Mamdouh Fayoud; Mohammed Al-Kafarna; Mohammad Elbahnasawy; Fadel Alqatati; Khaled Mohamed Ragab; Mohamed Sayed Zaazouee; Elfatih A Hasabo
Journal:  Sci Rep       Date:  2022-08-22       Impact factor: 4.996

5.  Surveying Parents' Awareness and Adherence to Influenza Vaccination Recommendations in Children in Southern Italy.

Authors:  Gabriella Di Giuseppe; Giovanna Paduano; Sara Vaienna; Giuseppe Maisto; Concetta Paola Pelullo; Maria Pavia
Journal:  Vaccines (Basel)       Date:  2022-08-11

6.  Predicting Egg Passage Adaptations to Design Better Vaccines for the H3N2 Influenza Virus.

Authors:  Yunsong Liu; Hui Chen; Wenyuan Duan; Xinyi Zhang; Xionglei He; Rasmus Nielsen; Liang Ma; Weiwei Zhai
Journal:  Viruses       Date:  2022-09-17       Impact factor: 5.818

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.