Modelling of optimal timing for influenza vaccination as a function of intraseasonal waning of immunity and vaccine coverage

接种疫苗 医学 流感疫苗 大流行 免疫 疫苗效力 免疫学 儿科 人口学 2019年冠状病毒病(COVID-19) 免疫系统 传染病(医学专业) 内科学 疾病 社会学
作者
Valentina Costantino,Mallory Trent,C. Raina MacIntyre
出处
期刊:Vaccine [Elsevier]
卷期号:37 (44): 6768-6775 被引量:11
标识
DOI:10.1016/j.vaccine.2019.08.069
摘要

The influenza season in Australia usually peaks in August. Vaccination is recommended beginning in March-April. Recent studies suggest that vaccine effectiveness may wane over a given influenza season, leading to reduced effectiveness at the peak of the season. We aimed to quantify how changes in timing of influenza vaccination and declining vaccine coverage could change the percentages of prevented cases. Results from a systematic review were used to inform calculation of a waning function over time from vaccination. Age specific notification data and vaccine effectiveness and coverage estimates from 2007 to 2016 (2009 influenza pandemic year excluded) were used to model a new notification series where vaccine effectiveness is shifted in time to account for delayed vaccination by month from March to August. A sensitivity analysis was done on possible vaccine coverage changes and considering time gap between vaccine uptake and recommendation. Delaying vaccination from March to end of May prevents more cases over a season, but the variation in cases prevented by month of vaccination is not large. If delaying vaccination results in missed or forgotten vaccination and decrease coverage, delaying vaccination could have a net negative impact. Furthermore, considering a time gap between recommendation and uptake, earlier recommendation is more effective in preventing cases. The results are sensitive to assumptions of intra-seasonal waning of effectiveness. More research is required on intra-seasonal vaccine effectiveness waning and the effect of delayed vaccination on overall uptake to inform any potential changes to current vaccine scheduling recommendations.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
董小李完成签到,获得积分10
1秒前
十七发布了新的文献求助10
1秒前
无花果应助壮观以松采纳,获得10
1秒前
我是老大应助Zyk采纳,获得10
2秒前
5秒前
xiaogang127发布了新的文献求助10
7秒前
7秒前
t6完成签到,获得积分10
8秒前
慕青应助ste56采纳,获得10
8秒前
危机的泥猴桃完成签到 ,获得积分10
8秒前
科研通AI2S应助科研通管家采纳,获得10
9秒前
9秒前
orixero应助科研通管家采纳,获得10
9秒前
思源应助科研通管家采纳,获得10
10秒前
10秒前
打打应助科研通管家采纳,获得10
10秒前
SciGPT应助科研通管家采纳,获得10
10秒前
16秒前
zjc发布了新的文献求助10
17秒前
川农辅导员完成签到,获得积分10
20秒前
超级无敌万能小金毛完成签到,获得积分10
21秒前
21秒前
22秒前
22秒前
寻觅发布了新的文献求助30
25秒前
nannan0629完成签到,获得积分10
26秒前
zjc完成签到,获得积分20
28秒前
29秒前
dalong完成签到,获得积分10
29秒前
端木子发布了新的文献求助10
32秒前
32秒前
壮观以松发布了新的文献求助10
33秒前
寻觅完成签到,获得积分10
37秒前
应助机器完成签到,获得积分20
37秒前
Owen应助May采纳,获得10
38秒前
可可发布了新的文献求助10
38秒前
小马甲应助Elena采纳,获得10
40秒前
十七完成签到,获得积分10
41秒前
开心榴莲大王完成签到 ,获得积分10
42秒前
简让完成签到,获得积分10
44秒前
高分求助中
Sustainable Land Management: Strategies to Cope with the Marginalisation of Agriculture 1000
Corrosion and Oxygen Control 600
Python Programming for Linguistics and Digital Humanities: Applications for Text-Focused Fields 500
Heterocyclic Stilbene and Bibenzyl Derivatives in Liverworts: Distribution, Structures, Total Synthesis and Biological Activity 500
重庆市新能源汽车产业大数据招商指南(两链两图两池两库两平台两清单两报告) 400
Division and square root. Digit-recurrence algorithms and implementations 400
行動データの計算論モデリング 強化学習モデルを例として 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 有机化学 工程类 生物化学 纳米技术 物理 内科学 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 电极 光电子学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 2547030
求助须知:如何正确求助?哪些是违规求助? 2176077
关于积分的说明 5602154
捐赠科研通 1896805
什么是DOI,文献DOI怎么找? 946415
版权声明 565383
科研通“疑难数据库(出版商)”最低求助积分说明 503687