Long-term studies of hantavirus reservoir populations in the southwestern United States: a synthesis.

Long-term studies of hantavirus reservoir populations in the southwestern United States: a synthesis.
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DOI:
10.3201/eid0501.990116
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发表时间:
1999-01
影响因子:
11.8
通讯作者:
Childs JE
Childs JE
中科院分区:
医学2区
文献类型:
--
作者:
Mills JN;Ksiazek TG;Peters CJ;Childs JE

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对美国西南部水库种群中汉坦病毒感染动态进行的一系列密集、纵向、标记重捕获研究表明,不同地点和宿主-病毒关联之间存在一致的模式以及重要差异。所有研究均发现老年小鼠(尤其是雄性)的感染率较高;一项研究将伤口与血清阳性联系起来。这些发现与水平传播和通过成年雄性啮齿动物之间的打斗传播是一致的。尽管某些地点的啮齿动物密度非常低,但低水平的汉坦病毒感染仍在继续,这可能是因为一些长寿啮齿动物的持续感染或来自邻近种群的病毒定期重新引入。汉坦病毒抗体的流行率呈现季节性和多年模式,表明流行率和人口密度之间存在延迟的密度依赖性关系。不同地点、采样周期和宿主物种之间种群动态和感染模式的明显差异强调了长期储存库研究的重复性和连续性的重要性。然而,环境变量、宿主人口密度、病毒传播率和宿主人群感染流行率之间可测量的关联可能会提高我们对影响感染的过程进行建模的能力,并预测汉坦病毒传播给人类的风险增加的能力。
A series of intensive, longitudinal, mark-recapture studies of hantavirus infection dynamics in reservoir populations in the southwestern United States indicates consistent patterns as well as important differences among sites and host-virus associations. All studies found a higher prevalence of infection in older (particularly male) mice; one study associated wounds with seropositivity. These findings are consistent with horizontal transmission and transmission through fighting between adult male rodents. Despite very low rodent densities at some sites, low-level hantavirus infection continued, perhaps because of persistent infection in a few long-lived rodents or periodic reintroduction of virus from neighboring populations. Prevalence of hantavirus antibody showed seasonal and multiyear patterns that suggested a delayed density-dependent relationship between prevalence and population density. Clear differences in population dynamics and patterns of infection among sites, sampling periods, and host species underscore the importance of replication and continuity of long-term reservoir studies. Nevertheless, the measurable associations between environmental variables, reservoir population density, rates of virus transmission, and prevalence of infection in host populations may improve our capacity to model processes influencing infection and predict increased risk for hantavirus transmission to humans.
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