ArticleNature communications2015
Evolution and emergence of infectious diseases in theoretical and real-world networks.
Article in Nature communications, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.
What it found
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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.
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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.
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Who cites it
55 citing papers in PubMed.
- CAPHEINE, or Everything and the Kitchen Sink: A Workflow for Automating Selection Analyses Using HyPhy.Genome biology and evolution · 2026Article
- Tracking Dynamics of Superspreading Through Contacts, Exposures, and Transmissions in Edge-Based Network Epidemics.Bulletin of mathematical biology · 2026Article
- CAPHEINE, or everything and the kitchen sink: a workflow for automating selection analyses using HyPhy.bioRxiv : the preprint server for biology · 2026Article
- Understanding patterns of variant emergence and spread in an ongoing epidemic.medRxiv : the preprint server for health sciences · 2026Article
- Article
- Superspreading and the evolution of virulence.PLoS computational biology · 2025Article
- Quantifying infectious disease epidemic risks: A practical approach for seasonal pathogens.PLoS computational biology · 2025Article
- Evolutionary graph theory beyond single mutation dynamics: on how network-structured populations cross fitness landscapes.Genetics · 2024Article
- Article
- Phylogenetic identification of influenza virus candidates for seasonal vaccines.Science advances · 2023Article
- Inferring bacterial transmission dynamics using deep sequencing genomic surveillance data.Nature communications · 2023Article
- Epidemiology of a major honey bee pathogen, deformed wing virus: potential worldwide replacement of genotype A by genotype B.International journal for parasitology. Parasites and wildlife · 2022Article
- Nanotechnology in combating biofilm: A smart and promising therapeutic strategy.Frontiers in microbiology · 2022Review
- The impact of cross-reactive immunity on the emergence of SARS-CoV-2 variants.Frontiers in immunology · 2022Article
- Reconstructing contact network structure and cross-immunity patterns from multiple infection histories.PLoS computational biology · 2021Article
- Predicting the Effectiveness of Endemic Infectious Disease Control Interventions: The Impact of Mass Action versus Network Model Structure.Medical decision making : an international journal of the Society for Medical Decision Making · 2021Article
- On the emergence, spread and resistance ofJournal of medical microbiology · 2021Review
- SHERLOCK and DETECTR: CRISPR-Cas Systems as Potential Rapid Diagnostic Tools for Emerging Infectious Diseases.Journal of clinical microbiology · 2021Review
- Effects of Curcumin and Its Analogues on Infectious Diseases.Advances in experimental medicine and biology · 2021Review
- Effects of social distancing and isolation on epidemic spreading modeled via dynamical density functional theory.Nature communications · 2020Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
One of the most important advancements in theoretical epidemiology has been the development of methods that account for realistic host population structure. The central finding is that heterogeneity in contact networks, such as the presence of 'superspreaders', accelerates infectious disease spread in real epidemics. Disease control is also complicated by the continuous evolution of pathogens in response to changing environments and medical interventions. It remains unclear, however, how population structure influences these adaptive processes. Here we examine the evolution of infectious disease in empirical and theoretical networks. We show that the heterogeneity in contact structure, which facilitates the spread of a single disease, surprisingly renders a resident strain more resilient to invasion by new variants. Our results suggest that many host contact structures suppress invasion of new strains and may slow disease adaptation. These findings are important to the natural history of disease evolution and the spread of drug-resistant strains.
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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.