Epidemiology of the emergent disease Paridae pox in an intensively studied wild bird population.
Epidemiology of the emergent disease Paridae pox in an intensively studied wild bird population.
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DOI：
10.1371/journal.pone.0038316
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发表时间：
2012
期刊：
影响因子：
3.7
通讯作者：
Sheldon BC
中科院分区：
文献类型：
--
作者：
Lachish S;Lawson B;Cunningham AA;Sheldon BC
顶痘是一种新型的鸟痘病毒感染，最近被确定为一种影响英国野生山雀物种的新出现的传染病。在对野生山雀种群进行了数十年详细监测的长期研究地点，顶痘的入侵提供了一个独特的机会，可以在疾病暴发期间获得有关这种新型感染的局部流行病学特征的信息。通过对8000只鸟的捕获，我们发现，在最初出现的两年内，大山雀（Parus major）的种群中已经建立了重科痘，达到了相对较高的峰值患病率（10%），但在其他几个密切相关的、丰富的重科物种的同域种群中患病率远低于（<1%）。非线性平滑模型显示，大山雀流行的时间格局具有年内波动的特征，表明感染率的季节性强迫，这可能是由多种环境和人口因素驱动的。在感染过程中存在个体异质性，尽管有可能康复，但患病个体比健康个体恢复的可能性要小得多，这表明感染的生存成本。这项研究证明了长期监测对于获得了解疾病动态、传播和自然种群持续性所必需的关键流行病学数据的价值。
Paridae pox, a novel avipoxvirus infection, has recently been identified as an emerging infectious disease affecting wild tit species in Great Britain. The incursion of Paridae pox to a long-term study site where populations of wild tits have been monitored in detail for several decades provided a unique opportunity to obtain information on the local-scale epidemiological characteristics of this novel infection during a disease outbreak. Using captures of >8000 individual birds, we show that, within two years of initial emergence, Paridae pox had become established within the population of great tits (Parus major) reaching relatively high peak prevalence (10%), but was far less prevalent (<1%) in sympatric populations of several other closely related, abundant Paridae species. Nonlinear smoothing models revealed that the temporal pattern of prevalence among great tits was characterised by within-year fluctuations indicative of seasonal forcing of infection rates, which was likely driven by multiple environmental and demographic factors. There was individual heterogeneity in the course of infection and, although recovery was possible, diseased individuals were far less likely to be recaptured than healthy individuals, suggesting a survival cost of infection. This study demonstrates the value of long-term monitoring for obtaining key epidemiological data necessary to understand disease dynamics, spread and persistence in natural populations.
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影响因子：
1.4
作者：
Alley, M. R.;Hale, K. A.;Howe, L.
通讯作者：
Howe, L.
DOI：
10.1073/pnas.1111560108
发表时间：
2011-09-20
影响因子：
11.1
作者：
Morand-Ferron, Julie;Quinn, John L.
通讯作者：
Quinn, John L.
DOI：
10.1098/rstb.2001.0900
发表时间：
2001-07-29
影响因子：
6.3
作者：
Dobson, A;Foufopoulos, J
通讯作者：
Foufopoulos, J
影响因子：
2.2
作者：
Jarvi, Susan I.;Triglia, Dennis;Atkinson, Carter T.
通讯作者：
Atkinson, Carter T.
影响因子：
1.7
作者：
Kleindorfer, S;Dudaniec, RY
通讯作者：
Dudaniec, RY