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Infectious disease dynamics. Mathematical models need to integrate the increasing volume of data being generated on host - pathogen interactions. Many theoretical studies of the population dynamics, structure and evolution of infectious diseases of plants and animals, including humans, are concerned with this problem.
COVID-19 simulation models are mathematical infectious disease models for the spread of COVID-19. [1] The list should not be confused with COVID-19 apps used mainly for digital contact tracing . Note that some of the applications listed are website-only models or simulators, and some of those rely on (or use) real-time data from other sources.
Compartmental models are a very general modelling technique. They are often applied to the mathematical modelling of infectious diseases. The population is assigned to compartments with labels – for example, S, I, or R, ( S usceptible, I nfectious, or R ecovered). People may progress between compartments. The order of the labels usually shows ...
iBioSim [5] [6] is a computer-aided design (CAD) tool for the modeling, analysis, and design of genetic circuits. GUI/Scripting tool [7] for building and simulating multicellular models. Yes, but only for reactions. GUI tool [8] [9] for analyzing and simulating SBML models.
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The AMRFinderPlus tool from the National Center for Biotechnology Information (NCBI) is a bioinformatic tool that allows users to identify antimicrobial resistance determinants, stress response, and virulence genes in bacterial genomes. [2] This tool's development began in 2018 (as AMRFinder) and is still underway.
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Plant disease forecasting is a management system used to predict the occurrence or change in severity of plant diseases. At the field scale, these systems are used by growers to make economic decisions about disease treatments for control. Often the systems ask the grower a series of questions about the susceptibility of the host crop, and ...