• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

估算澳大利亚应对口蹄疫中大型疫情所需的人员资源。

Estimating Resource Requirements to Staff a Response to a Medium to Large Outbreak of Foot and Mouth Disease in Australia.

作者信息

Garner M G, Bombarderi N, Cozens M, Conway M L, Wright T, Paskin R, East I J

机构信息

Department of Agriculture, Australian Government, Canberra, ACT, Australia.

Government of South Australia, Primary Industries and Regions, Glenside, SA, Australia.

出版信息

Transbound Emerg Dis. 2016 Feb;63(1):e109-21. doi: 10.1111/tbed.12239. Epub 2014 Jun 4.

DOI:10.1111/tbed.12239
PMID:24894407
Abstract

A recent report to the Australian Government identified concerns relating to Australia's capacity to respond to a medium to large outbreak of FMD. To assess the resources required, the AusSpread disease simulation model was used to develop a plausible outbreak scenario that included 62 infected premises in five different states at the time of detection, 28 days after the disease entered the first property in Victoria. Movements of infected animals and/or contaminated product/equipment led to smaller outbreaks in NSW, Queensland, South Australia and Tasmania. With unlimited staff resources, the outbreak was eradicated in 63 days with 54 infected premises and a 98% chance of eradication within 3 months. This unconstrained response was estimated to involve 2724 personnel. Unlimited personnel was considered unrealistic, and therefore, the course of the outbreak was modelled using three levels of staffing and the probability of achieving eradication within 3 or 6 months of introduction determined. Under the baseline staffing level, there was only a 16% probability that the outbreak would be eradicated within 3 months, and a 60% probability of eradication in 6 months. Deployment of an additional 60 personnel in the first 3 weeks of the response increased the likelihood of eradication in 3 months to 68%, and 100% in 6 months. Deployment of further personnel incrementally increased the likelihood of timely eradication and decreased the duration and size of the outbreak. Targeted use of vaccination in high-risk areas coupled with the baseline personnel resources increased the probability of eradication in 3 months to 74% and to 100% in 6 months. This required 25 vaccination teams commencing 12 days into the control program increasing to 50 vaccination teams 3 weeks later. Deploying an equal number of additional personnel to surveillance and infected premises operations was equally effective in reducing the outbreak size and duration.

摘要

近期提交给澳大利亚政府的一份报告指出了与澳大利亚应对口蹄疫中大规模疫情能力相关的问题。为评估所需资源,利用AusSpread疾病模拟模型构建了一个合理的疫情场景,即疫情在维多利亚州首个场所出现28天后被发现时,五个不同州有62个感染场所。感染动物和/或受污染产品/设备的移动导致新南威尔士州、昆士兰州、南澳大利亚州和塔斯马尼亚州出现规模较小的疫情。在人员资源不受限制的情况下,疫情在63天内得到根除,有54个感染场所,且在3个月内根除的概率为98%。据估计,这种无限制应对措施需要2724名人员。认为人员不受限制不现实,因此,模拟了疫情发展过程,采用三个人员配置级别,并确定了在引入疫情后3个月或6个月内实现根除的概率。在基线人员配置水平下,疫情在3个月内根除的概率仅为16%,6个月内根除的概率为60%。在应对的前三周增派60名人员,使3个月内根除疫情的可能性提高到68%,6个月内提高到100%。进一步增派人员逐步提高了及时根除疫情的可能性,并缩短了疫情持续时间和规模。在高风险地区有针对性地使用疫苗,再加上基线人员资源,使3个月内根除疫情的概率提高到74%,6个月内提高到100%。这需要25个疫苗接种小组在控制计划开始12天后开始工作,3周后增加到50个疫苗接种小组。向监测和感染场所作业部署同等数量的额外人员,在减少疫情规模和持续时间方面同样有效。

相似文献

1
Estimating Resource Requirements to Staff a Response to a Medium to Large Outbreak of Foot and Mouth Disease in Australia.估算澳大利亚应对口蹄疫中大型疫情所需的人员资源。
Transbound Emerg Dis. 2016 Feb;63(1):e109-21. doi: 10.1111/tbed.12239. Epub 2014 Jun 4.
2
How do resources influence control measures during a simulated outbreak of foot and mouth disease in Australia?资源如何影响澳大利亚模拟口蹄疫爆发期间的控制措施?
Prev Vet Med. 2014 Mar 1;113(4):436-46. doi: 10.1016/j.prevetmed.2013.12.003. Epub 2013 Dec 21.
3
Modeling the impact of vaccination control strategies on a foot and mouth disease outbreak in the Central United States.模拟疫苗接种控制策略对美国中部口蹄疫疫情的影响。
Prev Vet Med. 2014 Dec 1;117(3-4):487-504. doi: 10.1016/j.prevetmed.2014.10.005. Epub 2014 Oct 14.
4
Options for managing animal welfare on intensive pig farms confined by movement restrictions during an outbreak of foot and mouth disease.在口蹄疫疫情期间,因行动限制而被圈养的集约化养猪场动物福利管理方案。
Prev Vet Med. 2014 Dec 1;117(3-4):533-41. doi: 10.1016/j.prevetmed.2014.10.002. Epub 2014 Oct 12.
5
Modelling the spread of foot-and-mouth disease in Australia.澳大利亚口蹄疫传播建模。
Aust Vet J. 2005 Dec;83(12):758-66. doi: 10.1111/j.1751-0813.2005.tb11589.x.
6
Comparing control strategies against foot-and-mouth disease: will vaccination be cost-effective in Denmark?比较防控口蹄疫的策略:丹麦的疫苗接种是否具有成本效益?
Prev Vet Med. 2013 Sep 1;111(3-4):206-19. doi: 10.1016/j.prevetmed.2013.05.008. Epub 2013 Jun 20.
7
Evaluating the benefits of vaccination when used in combination with stamping-out measures against hypothetical introductions of foot-and-mouth disease into New Zealand: a simulation study.评估在新西兰针对口蹄疫假设引入情况采用扑杀措施时接种疫苗的益处:一项模拟研究。
N Z Vet J. 2017 May;65(3):124-133. doi: 10.1080/00480169.2016.1263165. Epub 2017 Jan 11.
8
Evaluating vaccination strategies to control foot-and-mouth disease: a country comparison study.评估控制口蹄疫的疫苗接种策略:国家比较研究。
Epidemiol Infect. 2018 Jul;146(9):1138-1150. doi: 10.1017/S0950268818001243. Epub 2018 May 22.
9
FMD vaccine allocation and surveillance resourcing options for a potential Australian incursion.应对澳大利亚潜在疫情传入的口蹄疫疫苗分配和监测资源选择方案。
Aust Vet J. 2022 Nov;100(11):550-561. doi: 10.1111/avj.13195. Epub 2022 Sep 15.
10
Modelling the field personnel resources to control foot-and-mouth disease outbreaks in New Zealand.为控制新西兰口蹄疫疫情对现场人员资源进行建模。
Transbound Emerg Dis. 2022 Nov;69(6):3926-3939. doi: 10.1111/tbed.14764. Epub 2022 Dec 5.

引用本文的文献

1
A systematic review of epidemiological modelling in response to lumpy skin disease outbreaks.针对结节性皮肤病暴发的流行病学建模系统评价。
Front Vet Sci. 2024 Sep 23;11:1459293. doi: 10.3389/fvets.2024.1459293. eCollection 2024.
2
FMD vaccine allocation and surveillance resourcing options for a potential Australian incursion.应对澳大利亚潜在疫情传入的口蹄疫疫苗分配和监测资源选择方案。
Aust Vet J. 2022 Nov;100(11):550-561. doi: 10.1111/avj.13195. Epub 2022 Sep 15.
3
Australian veterinarians' perspectives on the contribution of the veterinary workforce to the Australian animal health surveillance system.
澳大利亚兽医对兽医劳动力对澳大利亚动物健康监测系统贡献的看法。
Front Vet Sci. 2022 Aug 18;9:840346. doi: 10.3389/fvets.2022.840346. eCollection 2022.
4
What Are the Human Resources Required to Control a Foot-and-Mouth Disease Outbreak in Austria?在奥地利控制口蹄疫疫情需要哪些人力资源?
Front Vet Sci. 2021 Oct 28;8:727209. doi: 10.3389/fvets.2021.727209. eCollection 2021.
5
A Simulation Study of the Use of Vaccination to Control Foot-and-Mouth Disease Outbreaks Across Australia.利用疫苗接种控制澳大利亚口蹄疫疫情的模拟研究。
Front Vet Sci. 2021 Aug 11;8:648003. doi: 10.3389/fvets.2021.648003. eCollection 2021.
6
Using a Bayesian Network Predictive Model to Understand Vulnerability of Australian Sheep Producers to a Foot and Mouth Disease Outbreak.使用贝叶斯网络预测模型来了解澳大利亚绵羊养殖户面对口蹄疫疫情的脆弱性。
Front Vet Sci. 2021 Jun 11;8:668679. doi: 10.3389/fvets.2021.668679. eCollection 2021.
7
A Practical Introduction to Mechanistic Modeling of Disease Transmission in Veterinary Science.兽医科学中疾病传播机制建模实用指南
Front Vet Sci. 2021 Jan 26;7:546651. doi: 10.3389/fvets.2020.546651. eCollection 2020.
8
The Epidemiological and Economic Impact of a Potential Foot-and-Mouth Disease Outbreak in Austria.奥地利口蹄疫潜在疫情的流行病学和经济影响
Front Vet Sci. 2021 Jan 13;7:594753. doi: 10.3389/fvets.2020.594753. eCollection 2020.
9
Challenges to the Application of Spatially Explicit Stochastic Simulation Models for Foot-and-Mouth Disease Control in Endemic Settings: A Systematic Review.在流行地区应用空间显式随机模拟模型控制口蹄疫的挑战:系统评价。
Comput Math Methods Med. 2020 Nov 21;2020:7841941. doi: 10.1155/2020/7841941. eCollection 2020.
10
Evaluation of human resources needed and comparison with human resources available to implement emergency vaccination in case of foot and mouth disease outbreaks in Tunisia.评估实施口蹄疫疫情应急接种所需人力资源,并与突尼斯现有资源进行比较。
Epidemiol Infect. 2020 Jun 18;148:e128. doi: 10.1017/S0950268820001284.