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首页> 外文期刊>Journal of the Royal Society Interface >Connectivity sustains disease transmission in environments with low potential for endemicity: modelling schistosomiasis with hydrologic and social connectivities
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Connectivity sustains disease transmission in environments with low potential for endemicity: modelling schistosomiasis with hydrologic and social connectivities

机译:连通性在具有低流行性的环境中维持疾病传播:利用水文和社会连通性对血吸虫病建模

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Social interaction and physical interconnections between populations can influence the spread of parasites. The role that these pathways play in sustaining the transmission of parasitic diseases is unclear, although increasingly realistic metapopulation models are being used to study how diseases persist in connected environments. We use a mathematical model of schistosomiasis transmission for a distributed set of heterogeneous villages to show that the transport of parasites via social (host movement) and environmental (parasite larvae movement) pathways has consequences for parasite control, spread and persistence. We find that transmission can be sustained regionally throughout a group of connected villages even when individual village conditions appear not to support endemicity. Optimum transmission is determined by an interplay between different transport pathways, and not necessarily by those that are the most dispersive'(e.g. disperse social contacts may not be optimal for transmission). We show that the traditional targeting of villages with high infection, without regard to village interconnections, may not lead to optimum control. These findings have major implications for effective disease control, which needs to go beyond considering local variations in disease intensity, to also consider the degree to which populations are interconnected.
机译:人群之间的社会互动和身体相互联系会影响寄生虫的传播。这些途径在维持寄生虫疾病传播中所起的作用尚不清楚,尽管越来越多的现实人群模型正在用于研究疾病如何在相连的环境中持续存在。我们使用血吸虫病传播的数学模型对一组分散的异质村庄进行研究,以表明通过社会(宿主运动)和环境(寄生虫幼虫运动)途径传播的寄生虫对寄生虫的控制,传播和持久性具有影响。我们发现,即使个别村庄的状况似乎不支持地方性流行,也可以在一组相连的村庄中实现区域性传播。最佳传播是由不同运输途径之间的相互作用决定的,而不一定由最分散的途径决定(例如,分散的社会交往可能不是传播的最佳途径)。我们表明,传统上针对高感染性村庄的目标,不考虑村庄之间的相互联系,可能不会导致最佳控制。这些发现对有效控制疾病具有重要意义,不仅需要考虑疾病强度的局部变化,还需要考虑人群之间的相互联系程度。

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