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检测人畜共患病疫情的最优抽样策略。

Optimal sampling strategies for detecting zoonotic disease epidemics.

机构信息

Department of Biology, University of Florida, Gainesville, Florida, United States of America.

Department of Mathematics, University of Florida, Gainesville, Florida, United States of America.

出版信息

PLoS Comput Biol. 2014 Jun 26;10(6):e1003668. doi: 10.1371/journal.pcbi.1003668. eCollection 2014 Jun.

DOI:10.1371/journal.pcbi.1003668
PMID:24968100
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4072525/
Abstract

The early detection of disease epidemics reduces the chance of successful introductions into new locales, minimizes the number of infections, and reduces the financial impact. We develop a framework to determine the optimal sampling strategy for disease detection in zoonotic host-vector epidemiological systems when a disease goes from below detectable levels to an epidemic. We find that if the time of disease introduction is known then the optimal sampling strategy can switch abruptly between sampling only from the vector population to sampling only from the host population. We also construct time-independent optimal sampling strategies when conducting periodic sampling that can involve sampling both the host and the vector populations simultaneously. Both time-dependent and -independent solutions can be useful for sampling design, depending on whether the time of introduction of the disease is known or not. We illustrate the approach with West Nile virus, a globally-spreading zoonotic arbovirus. Though our analytical results are based on a linearization of the dynamical systems, the sampling rules appear robust over a wide range of parameter space when compared to nonlinear simulation models. Our results suggest some simple rules that can be used by practitioners when developing surveillance programs. These rules require knowledge of transition rates between epidemiological compartments, which population was initially infected, and of the cost per sample for serological tests.

摘要

疾病的早期检测可降低疾病成功传入新环境的机会,减少感染数量,并降低经济影响。当疾病从可检测水平以下发展为流行时,我们开发了一个框架来确定在人畜共患病宿主-媒介流行病学系统中进行疾病检测的最佳采样策略。我们发现,如果知道疾病的传入时间,则最佳采样策略可以在仅从媒介种群采样和仅从宿主种群采样之间突然切换。当进行定期采样时,我们还构建了时间独立的最佳采样策略,其中可以同时采样宿主和媒介种群。根据是否知道疾病的传入时间,这两种时间相关和独立的解决方案都可以用于采样设计。我们用西尼罗河病毒(一种在全球范围内传播的人畜共患病虫媒病毒)来说明这种方法。尽管我们的分析结果是基于对动力系统的线性化,但与非线性模拟模型相比,在广泛的参数空间中,采样规则似乎具有很强的鲁棒性。我们的结果提出了一些简单的规则,从业者可以在制定监测计划时使用这些规则。这些规则需要了解流行病学隔室之间的转移率、最初感染的种群以及血清学检测的每个样本的成本。

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2
Internet-based surveillance systems for monitoring emerging infectious diseases.基于互联网的传染病监测系统。
Lancet Infect Dis. 2014 Feb;14(2):160-8. doi: 10.1016/S1473-3099(13)70244-5. Epub 2013 Nov 28.
3
Structuring targeted surveillance for monitoring disease emergence by mapping observational data onto ecological process.
一种确定在异质流行病学系统中监测工作目标地点的方法。
PLoS Comput Biol. 2017 Aug 28;13(8):e1005712. doi: 10.1371/journal.pcbi.1005712. eCollection 2017 Aug.
4
A Practitioner-Driven Research Agenda for Syndromic Surveillance.一份由从业者推动的综合征监测研究议程。
Public Health Rep. 2017 Jul/Aug;132(1_suppl):116S-126S. doi: 10.1177/0033354917709784.
5
Using Combined Diagnostic Test Results to Hindcast Trends of Infection from Cross-Sectional Data.利用联合诊断检测结果从横断面数据中推断感染趋势。
PLoS Comput Biol. 2016 Jul 6;12(7):e1004901. doi: 10.1371/journal.pcbi.1004901. eCollection 2016 Jul.
通过将观测数据映射到生态过程来构建目标监测,以监测疾病的出现。
J R Soc Interface. 2013 Jul 17;10(86):20130418. doi: 10.1098/rsif.2013.0418. Print 2013 Sep 6.
4
Dynamics of West Nile virus persistence in House Sparrows (Passer domesticus).西尼罗河病毒在麻雀(Passer domesticus)中持续存在的动态。
PLoS Negl Trop Dis. 2012;6(10):e1860. doi: 10.1371/journal.pntd.0001860. Epub 2012 Oct 4.
5
Optimizing provider recruitment for influenza surveillance networks.优化流感监测网络中的提供者招募。
PLoS Comput Biol. 2012;8(4):e1002472. doi: 10.1371/journal.pcbi.1002472. Epub 2012 Apr 12.
6
Estimating the incidence of an epidemic when it is first discovered and the design of early detection monitoring.在首次发现传染病时估计其发病率和设计早期检测监测。
J Theor Biol. 2012 Jul 21;305:30-6. doi: 10.1016/j.jtbi.2012.03.009. Epub 2012 Mar 29.
7
Evaluation of animal and public health surveillance systems: a systematic review.动物和公共卫生监测系统评估:系统评价。
Epidemiol Infect. 2012 Apr;140(4):575-90. doi: 10.1017/S0950268811002160. Epub 2011 Nov 11.
8
Mathematical models of malaria--a review.疟疾的数学模型——综述。
Malar J. 2011 Jul 21;10:202. doi: 10.1186/1475-2875-10-202.
9
Epidemic and economic impacts of delayed detection of foot-and-mouth disease: a case study of a simulated outbreak in California.口蹄疫延迟检测的流行和经济影响:以加利福尼亚州一次模拟疫情为例
J Vet Diagn Invest. 2011 Jan;23(1):26-33. doi: 10.1177/104063871102300104.
10
Optimal control of epidemics with limited resources.资源有限情况下传染病的最优控制
J Math Biol. 2011 Mar;62(3):423-51. doi: 10.1007/s00285-010-0341-0. Epub 2010 Apr 21.