ArticleMethods in molecular biology (Clifton, N.J.)2025
Scalable Epidemic Simulation Using FAVITES-Lite.
Article in Methods in molecular biology (Clifton, N.J.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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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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Who cites it
2 citing papers in PubMed.
- bronko: ultrafast, alignment-free detection of viral genome variation.bioRxiv : the preprint server for biology · 2026Article
- Fast and exact stochastic simulations of epidemics on static and temporal networks.PLoS computational biology · 2025Article
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Authors and funding
1 author.
Funding
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Abstract
The ability to simulate social contact networks, transmission networks, pathogen phylogenies, and pathogen genome sequences that capture a wide range of scenarios can enhance molecular epidemiology. However, the utility of such simulations depends entirely on their ability to capture important properties of the real-world epidemics they are used to study, which in turn depends on the appropriateness of the model assumptions behind the simulations. In this chapter, I introduce the FAVITES-Lite framework and discuss how one can use it to design and execute realistic epidemic simulations that appropriately model real-world epidemics of interest.
Indexed as
Identifiers
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Registered trials
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