2022/23 年冬季禽流感在英格兰家禽专家中的传播:全国家禽饲养秩序和环境因素

Peter Tammes
{"title":"2022/23 年冬季禽流感在英格兰家禽专家中的传播:全国家禽饲养秩序和环境因素","authors":"Peter Tammes","doi":"10.1016/j.dialog.2024.100165","DOIUrl":null,"url":null,"abstract":"<div><h3>Purpose</h3><p>To examine the impact of the national poultry housing order the UK government introduced on 7 November 2022 on the spreading of the avian influenza virus among poultry premises.</p></div><div><h3>Methods</h3><p>A longitudinal design with 15 weeks of infected poultry specialist incidence rates per 100 poultry specialists during the 2022/23 winter for 8 English regions. A multilevel regression model was used to analyse repeated measurements. Time was level-1 unit and regions level-2 unit resulting in 120 observations. Random intercept models included interactions between housing order and weekly infected wild birds, poultry density, or weekly average temperatures divided into terciles. In models where these variables were not included as an interaction term they were introduced as confounders.</p></div><div><h3>Results</h3><p>After the introduction of the housing order, it took 3 weeks for a considerable reduction in poultry specialist incidence rates. Reduction in incidence rates was strongest in regions with highest poultry density, from 1.27 (95%CI 0.99 to 1.56) to 0.30 (95%CI 0.09 to 0.52). Considerable reductions were also seen in regions with most detected infected wild birds.</p></div><div><h3>Conclusion</h3><p>The housing order was successful in reducing infected poultry specialist incidence rates three weeks after its introduction. Strongest impact in regions with highest poultry density.</p></div>","PeriodicalId":72803,"journal":{"name":"Dialogues in health","volume":"4 ","pages":"Article 100165"},"PeriodicalIF":0.0000,"publicationDate":"2024-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772653324000017/pdfft?md5=9052046d7d3dd676860c63c1a289027b&pid=1-s2.0-S2772653324000017-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Spread of avian influenza among poultry specialists in England during winter 2022/23: National poultry housing order and environmental drivers\",\"authors\":\"Peter Tammes\",\"doi\":\"10.1016/j.dialog.2024.100165\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Purpose</h3><p>To examine the impact of the national poultry housing order the UK government introduced on 7 November 2022 on the spreading of the avian influenza virus among poultry premises.</p></div><div><h3>Methods</h3><p>A longitudinal design with 15 weeks of infected poultry specialist incidence rates per 100 poultry specialists during the 2022/23 winter for 8 English regions. A multilevel regression model was used to analyse repeated measurements. Time was level-1 unit and regions level-2 unit resulting in 120 observations. Random intercept models included interactions between housing order and weekly infected wild birds, poultry density, or weekly average temperatures divided into terciles. In models where these variables were not included as an interaction term they were introduced as confounders.</p></div><div><h3>Results</h3><p>After the introduction of the housing order, it took 3 weeks for a considerable reduction in poultry specialist incidence rates. Reduction in incidence rates was strongest in regions with highest poultry density, from 1.27 (95%CI 0.99 to 1.56) to 0.30 (95%CI 0.09 to 0.52). Considerable reductions were also seen in regions with most detected infected wild birds.</p></div><div><h3>Conclusion</h3><p>The housing order was successful in reducing infected poultry specialist incidence rates three weeks after its introduction. Strongest impact in regions with highest poultry density.</p></div>\",\"PeriodicalId\":72803,\"journal\":{\"name\":\"Dialogues in health\",\"volume\":\"4 \",\"pages\":\"Article 100165\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-01-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2772653324000017/pdfft?md5=9052046d7d3dd676860c63c1a289027b&pid=1-s2.0-S2772653324000017-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Dialogues in health\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2772653324000017\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Dialogues in health","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2772653324000017","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

目的 研究英国政府于 2022 年 11 月 7 日颁布的全国家禽饲养令对禽流感病毒在家禽饲养场所传播的影响。方法 采用纵向设计,对英国 8 个地区 2022/23 年冬季每 100 名家禽专家中受感染家禽专家的发病率进行 15 周调查。采用多层次回归模型分析重复测量。时间为一级单位,地区为二级单位,共 120 个观测值。随机截距模型包括房舍顺序与每周受感染野鸟、家禽密度或每周平均温度之间的交互作用。在没有将这些变量作为交互项的模型中,它们被作为混杂因素引入。家禽密度最高的地区发病率下降幅度最大,从 1.27(95%CI 0.99 至 1.56)降至 0.30(95%CI 0.09 至 0.52)。在发现受感染野鸟最多的地区,发病率也显著下降。对家禽密度最高的地区影响最大。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Spread of avian influenza among poultry specialists in England during winter 2022/23: National poultry housing order and environmental drivers

Purpose

To examine the impact of the national poultry housing order the UK government introduced on 7 November 2022 on the spreading of the avian influenza virus among poultry premises.

Methods

A longitudinal design with 15 weeks of infected poultry specialist incidence rates per 100 poultry specialists during the 2022/23 winter for 8 English regions. A multilevel regression model was used to analyse repeated measurements. Time was level-1 unit and regions level-2 unit resulting in 120 observations. Random intercept models included interactions between housing order and weekly infected wild birds, poultry density, or weekly average temperatures divided into terciles. In models where these variables were not included as an interaction term they were introduced as confounders.

Results

After the introduction of the housing order, it took 3 weeks for a considerable reduction in poultry specialist incidence rates. Reduction in incidence rates was strongest in regions with highest poultry density, from 1.27 (95%CI 0.99 to 1.56) to 0.30 (95%CI 0.09 to 0.52). Considerable reductions were also seen in regions with most detected infected wild birds.

Conclusion

The housing order was successful in reducing infected poultry specialist incidence rates three weeks after its introduction. Strongest impact in regions with highest poultry density.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Dialogues in health
Dialogues in health Public Health and Health Policy
CiteScore
0.70
自引率
0.00%
发文量
0
审稿时长
134 days
期刊最新文献
Fishing with skis, digging with noodles: Resolving task-and-tool mismatches in efforts to advance health equity Blurred vision: The ophthalmological effect of smog in Pakistan Correlation between fall experience and life functions among community-dwelling older adults in Japan Breaking barriers: A gender-based quota system in nursing school admission in Bangladesh Success rates and adherence to antiretroviral therapy among treatment-naïve patients in Davao City, Philippines: A ten-year retrospective cohort study
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1