Centre de Recerca Matemàtica, E-08193 Bellaterra (Barcelona), Spain.
Institute for Disease Modeling, Bellevue, WA 98005.
Proc Natl Acad Sci U S A. 2017 Aug 22;114(34):8969-8973. doi: 10.1073/pnas.1703073114. Epub 2017 Aug 8.
Zika virus (ZIKV) exhibits unique transmission dynamics in that it is concurrently spread by a mosquito vector and through sexual contact. Due to the highly asymmetric durations of infectiousness between males and females-it is estimated that males are infectious for periods up to 10 times longer than females-we show that this sexual component of ZIKV transmission behaves akin to an asymmetric percolation process on the network of sexual contacts. We exactly solve the properties of this asymmetric percolation on random sexual contact networks and show that this process exhibits two epidemic transitions corresponding to a core-periphery structure. This structure is not present in the underlying contact networks, which are not distinguishable from random networks, and emerges because of the asymmetric percolation. We provide an exact analytical description of this double transition and discuss the implications of our results in the context of ZIKV epidemics. Most importantly, our study suggests a bias in our current ZIKV surveillance, because the community most at risk is also one of the least likely to get tested.
寨卡病毒(ZIKV)具有独特的传播动态,它既是通过蚊子媒介传播,也是通过性接触传播。由于男性和女性之间的传染性持续时间极不对称——据估计,男性的传染性比女性长多达 10 倍——我们表明,寨卡病毒传播的这种性成分类似于性接触网络上的非对称渗流过程。我们精确地解决了随机性接触网络上这种非对称渗流的性质,并表明该过程表现出与核心-边缘结构对应的两种流行转变。这种结构不存在于基础接触网络中,这些网络与随机网络无法区分,并且由于非对称渗流而出现。我们提供了对这种双重转变的精确解析描述,并讨论了我们的结果在寨卡病毒流行背景下的意义。最重要的是,我们的研究表明,我们目前对寨卡病毒的监测存在偏差,因为风险最大的社区也是最不可能接受检测的社区之一。