ArticleProceedings of the National Academy of Sciences of the United States of America2017
Asymmetric percolation drives a double transition in sexual contact networks.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed.
- Quantifying the Dynamics of Network Detachment Across Scientific, Technological, Commercial, and Pharmacological Domains.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Ecological specialization in vectors alters transmission thresholds and endemic dynamics in multi-host, multi-vector systems.PLoS computational biology · 2026Article
- Multiroute pathogen transmission is different.Science advances · 2026Article
- Dynamic shift in the dominant transmission route of clade Ib monkeypox virus across networks with sexual and nonsexual contacts.Science advances · 2026Article
- Hotspot model shows how location-based superspreading accelerates and reshapes epidemics.PNAS nexus · 2025Article
- Heterogeneity in network structure switches the dominant transmission mode of infectious diseases.PNAS nexus · 2023Article
- Evaluating the Structural Robustness of Large-Scale Emerging Industry with Blurring Boundaries.Entropy (Basel, Switzerland) · 2022Article
- Percolation on feature-enriched interconnected systems.Nature communications · 2021Article
- Localization, epidemic transitions, and unpredictability of multistrain epidemics with an underlying genotype network.PLoS computational biology · 2021Article
- Macroscopic patterns of interacting contagions are indistinguishable from social reinforcement.Nature physics · 2020Article
- Bond percolation in coloured and multiplex networks.Nature communications · 2019Article
- Competing contagion processes: Complex contagion triggered by simple contagion.Scientific reports · 2018Article
- The risk of sustained sexual transmission of Zika is underestimated.PLoS pathogens · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.