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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.
Comparison of software for molecular mechanics modeling. This is a list of computer programs that are predominantly used for molecular mechanics calculations. GPU – GPU accelerated. I – Has interface. Imp – Implicit water. MC – Monte Carlo. MD – Molecular dynamics. Min – Optimization. QM – Quantum mechanics.
Plant disease forecasting. 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 ...
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.
Manual Curation. The Pathogen-Host Interactions database ( PHI-base) [1] is a biological database that contains manually curated information on genes experimentally proven to affect the outcome of pathogen-host interactions. The database has been maintained by researchers at Rothamsted Research and external collaborators since 2005.
Plant disease epidemiology is the study of disease in plant populations. Much like diseases of humans and other animals, plant diseases occur due to pathogens such as bacteria, viruses, fungi, oomycetes, nematodes, phytoplasmas, protozoa, and parasitic plants. [1] Plant disease epidemiologists strive for an understanding of the cause and ...
Quantitative microbiological risk assessment [1] (QMRA) is the process of estimating the risk from exposure to microorganisms . The process involves measuring known microbial pathogens or indicators and running a Monte Carlo simulation to estimate the risk of transfer. [1] If a dose-response model is available for the microbe, it be used to ...