ArticleProceedings of the National Academy of Sciences of the United States of America2015
Complex dynamics of synergistic coinfections on realistically clustered networks.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed.
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- Complements and competitors: Examining technological co-diffusion and relatedness on a collaborative coding platform.PNAS nexus · 2024Article
- Modelling cultural responses to disease spread in Neolithic Trypillia mega-settlements.Journal of the Royal Society, Interface · 2024Article
- Duality between predictability and reconstructability in complex systems.Nature communications · 2024Article
- Temporal and Probabilistic Comparisons of Epidemic Interventions.Bulletin of mathematical biology · 2023Article
- Effect of monovalent COVID-19 vaccines on viral interference between SARS-CoV-2 and several DNA viruses in patients with long-COVID syndrome.NPJ vaccines · 2023Article
- Interactions among 17 respiratory pathogens: a cross-sectional study using clinical and community surveillance data.medRxiv : the preprint server for health sciences · 2022Article
- Reconstructing contact network structure and cross-immunity patterns from multiple infection histories.PLoS computational biology · 2021Article
- The ratio of single to co-colonization is key to complexity in interacting systems with multiple strains.Ecology and evolution · 2021Article
- Differences in clinical severity of respiratory viral infections in hospitalized children.Scientific reports · 2021Article
- BeyondJournal of the Royal Society, Interface · 2020Article
- Predicting N-Strain Coexistence from Co-colonization Interactions: Epidemiology Meets Ecology and the Replicator Equation.Bulletin of mathematical biology · 2020Article
- Macroscopic patterns of interacting contagions are indistinguishable from social reinforcement.Nature physics · 2020Article
- Interplay between competitive and cooperative interactions in a three-player pathogen system.Royal Society open science · 2020Article
- Coevolution spreading in complex networks.Physics reports · 2019Review
- Host contact dynamics shapes richness and dominance of pathogen strains.PLoS computational biology · 2019Article
- Persistent spatial patterns of interacting contagions.Physical review. E · 2019Article
- Seasonality of respiratory viruses causing hospitalizations for acute respiratory infections in children in Nha Trang, Vietnam.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2018Article
- Bayesian evidence and epidemiological implications of environmental contamination from acute respiratory infection in long-term care facilities.Epidemiology and infection · 2018Article
- Identifying transmission routes of Streptococcus pneumoniae and sources of acquisitions in high transmission communities.Epidemiology and infection · 2017Article
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2 authors.
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Abstract
We investigate the impact of contact structure clustering on the dynamics of multiple diseases interacting through coinfection of a single individual, two problems typically studied independently. We highlight how clustering, which is well known to hinder propagation of diseases, can actually speed up epidemic propagation in the context of synergistic coinfections if the strength of the coupling matches that of the clustering. We also show that such dynamics lead to a first-order transition in endemic states, where small changes in transmissibility of the diseases can lead to explosive outbreaks and regions where these explosive outbreaks can only happen on clustered networks. We develop a mean-field model of coinfection of two diseases following susceptible-infectious-susceptible dynamics, which is allowed to interact on a general class of modular networks. We also introduce a criterion based on tertiary infections that yields precise analytical estimates of when clustering will lead to faster propagation than nonclustered networks. Our results carry importance for epidemiology, mathematical modeling, and the propagation of interacting phenomena in general. We make a call for more detailed epidemiological data of interacting coinfections.
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