Assessing the Use of Different Surveillance Components to Detect Highly Pathogenic Avian Influenza Outbreaks in Poultry in the Netherlands in Low- and High-Risk Years

IF 3.5 2区 农林科学 Q2 INFECTIOUS DISEASES
Imke Vredenberg, Gerdien van Schaik, Francisca C. Velkers, Teun Fabri, Marcel A. H. Spierenburg, Evelien A. Germeraad, Wim H. M. van der Poel, Arjan Stegeman
{"title":"Assessing the Use of Different Surveillance Components to Detect Highly Pathogenic Avian Influenza Outbreaks in Poultry in the Netherlands in Low- and High-Risk Years","authors":"Imke Vredenberg,&nbsp;Gerdien van Schaik,&nbsp;Francisca C. Velkers,&nbsp;Teun Fabri,&nbsp;Marcel A. H. Spierenburg,&nbsp;Evelien A. Germeraad,&nbsp;Wim H. M. van der Poel,&nbsp;Arjan Stegeman","doi":"10.1155/tbed/7441785","DOIUrl":null,"url":null,"abstract":"<div>\n <p>Avian influenza (AI) is a highly contagious zoonotic disease primarily affecting birds with clinical manifestation depending on bird species and virus subtype. Globally, outbreaks have had a large socioeconomic impact. Moreover, highly pathogenic AI virus (HPAIv) outbreaks can pose a public health risk. Detection of AIv, particularly HPAIv, mainly relies on passive surveillance, risking underreporting and delayed detection. This study describes and compares the contribution of passive and active surveillance components on HPAI detection in poultry flocks in years with different HPAIv introduction risk (free, seasonal outbreaks, and year round) in the Netherlands. We drafted a flowchart representing the flow of information and samples between farmers and veterinarians, the competent authority (CA), the national reference lab (NRL), and the private organization Royal GD and identified four different surveillance components and derived the use of each of these components during 2016 (reference), 2019 (low risk), and 2022 (high risk). The first component, “notification of suspicion,” where farmers and veterinarians directly report suspicions to the CA, accounted for 88.4% of farm visits and detected 98.1% of all HPAIv outbreaks. The second component, “testing to exclude” (TTE), consisting postmortem/sample submission and contact with the veterinary helpdesk of GD detected 2% of the cases in 2022. The third and active surveillance component, “protection zone screening,” screens farms closely to a positively detected farm. No outbreaks were detected, suggesting limited between-farm transmission. The last and active surveillance component, mandatory national serological surveillance detected two low pathogenic AI outbreaks. Analysis between years for the passive surveillance components “notification of suspicion” and “TTE,” using chi-square test of independency and odd ratios, showed increased use and farm visits in the high-risk year. However, postmortem-related submissions for TTE were increased in the disease-free year. All components combined detected HPAI or provided valuable information across different risk periods.</p>\n </div>","PeriodicalId":234,"journal":{"name":"Transboundary and Emerging Diseases","volume":"2025 1","pages":""},"PeriodicalIF":3.5000,"publicationDate":"2025-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/tbed/7441785","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transboundary and Emerging Diseases","FirstCategoryId":"97","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1155/tbed/7441785","RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"INFECTIOUS DISEASES","Score":null,"Total":0}
引用次数: 0

Abstract

Avian influenza (AI) is a highly contagious zoonotic disease primarily affecting birds with clinical manifestation depending on bird species and virus subtype. Globally, outbreaks have had a large socioeconomic impact. Moreover, highly pathogenic AI virus (HPAIv) outbreaks can pose a public health risk. Detection of AIv, particularly HPAIv, mainly relies on passive surveillance, risking underreporting and delayed detection. This study describes and compares the contribution of passive and active surveillance components on HPAI detection in poultry flocks in years with different HPAIv introduction risk (free, seasonal outbreaks, and year round) in the Netherlands. We drafted a flowchart representing the flow of information and samples between farmers and veterinarians, the competent authority (CA), the national reference lab (NRL), and the private organization Royal GD and identified four different surveillance components and derived the use of each of these components during 2016 (reference), 2019 (low risk), and 2022 (high risk). The first component, “notification of suspicion,” where farmers and veterinarians directly report suspicions to the CA, accounted for 88.4% of farm visits and detected 98.1% of all HPAIv outbreaks. The second component, “testing to exclude” (TTE), consisting postmortem/sample submission and contact with the veterinary helpdesk of GD detected 2% of the cases in 2022. The third and active surveillance component, “protection zone screening,” screens farms closely to a positively detected farm. No outbreaks were detected, suggesting limited between-farm transmission. The last and active surveillance component, mandatory national serological surveillance detected two low pathogenic AI outbreaks. Analysis between years for the passive surveillance components “notification of suspicion” and “TTE,” using chi-square test of independency and odd ratios, showed increased use and farm visits in the high-risk year. However, postmortem-related submissions for TTE were increased in the disease-free year. All components combined detected HPAI or provided valuable information across different risk periods.

Abstract Image

评估使用不同的监测组成部分,以发现高致病性禽流感疫情在荷兰家禽在低和高风险年
禽流感是一种高度传染性的人畜共患疾病,主要影响禽类,其临床表现取决于禽类种类和病毒亚型。在全球范围内,疫情产生了巨大的社会经济影响。此外,高致病性禽流感病毒(HPAIv)暴发可构成公共卫生风险。艾滋病病毒,特别是HPAIv的检测主要依赖于被动监测,存在漏报和延迟检测的风险。本研究描述并比较了荷兰具有不同HPAIv传入风险年份(无疫情、季节性疫情和全年)的家禽群中被动监测和主动监测组成部分对高致病性禽流感检测的贡献。我们起草了一份流程图,表示农民和兽医、主管当局(CA)、国家参考实验室(NRL)和私人组织Royal GD之间的信息和样本流动,并确定了四种不同的监测组成部分,并推导了每种组成部分在2016年(参考)、2019年(低风险)和2022年(高风险)期间的使用情况。第一个组成部分是“疑似通报”,即农民和兽医直接向兽疫局报告疑似病例,占农场访问的88.4%,并发现了所有HPAIv疫情的98.1%。第二个组成部分是“排除检测”(TTE),包括尸检/样本提交和与GD兽医服务台联系,在2022年发现了2%的病例。第三个也是积极的监测组成部分是“保护区筛选”,筛选靠近阳性检测农场的农场。未发现疫情,表明农场间传播有限。最后也是主动监测组成部分,即强制性国家血清学监测,发现了两次低致病性人工智能疫情。使用独立性和奇数比卡方检验对被动监测组成部分“疑似通报”和“TTE”进行的年份之间的分析显示,在高风险年份,使用和农场访问增加。然而,在无疾病年份,与死亡相关的TTE申请增加了。所有组成部分结合起来检测高致病性禽流感或提供跨不同风险期的宝贵信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Transboundary and Emerging Diseases
Transboundary and Emerging Diseases 农林科学-传染病学
CiteScore
8.90
自引率
9.30%
发文量
350
审稿时长
1 months
期刊介绍: Transboundary and Emerging Diseases brings together in one place the latest research on infectious diseases considered to hold the greatest economic threat to animals and humans worldwide. The journal provides a venue for global research on their diagnosis, prevention and management, and for papers on public health, pathogenesis, epidemiology, statistical modeling, diagnostics, biosecurity issues, genomics, vaccine development and rapid communication of new outbreaks. Papers should include timely research approaches using state-of-the-art technologies. The editors encourage papers adopting a science-based approach on socio-economic and environmental factors influencing the management of the bio-security threat posed by these diseases, including risk analysis and disease spread modeling. Preference will be given to communications focusing on novel science-based approaches to controlling transboundary and emerging diseases. The following topics are generally considered out-of-scope, but decisions are made on a case-by-case basis (for example, studies on cryptic wildlife populations, and those on potential species extinctions): Pathogen discovery: a common pathogen newly recognised in a specific country, or a new pathogen or genetic sequence for which there is little context about — or insights regarding — its emergence or spread. Prevalence estimation surveys and risk factor studies based on survey (rather than longitudinal) methodology, except when such studies are unique. Surveys of knowledge, attitudes and practices are within scope. Diagnostic test development if not accompanied by robust sensitivity and specificity estimation from field studies. Studies focused only on laboratory methods in which relevance to disease emergence and spread is not obvious or can not be inferred (“pure research” type studies). Narrative literature reviews which do not generate new knowledge. Systematic and scoping reviews, and meta-analyses are within scope.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信