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  2. Mathematical modelling of infectious diseases - Wikipedia

    en.wikipedia.org/wiki/Mathematical_modelling_of...

    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.

  3. List of COVID-19 simulation models - Wikipedia

    en.wikipedia.org/wiki/List_of_COVID-19...

    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.

  4. Compartmental models in epidemiology - Wikipedia

    en.wikipedia.org/wiki/Compartmental_models_in...

    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 ...

  5. Latent period (epidemiology) - Wikipedia

    en.wikipedia.org/wiki/Latent_period_(epidemiology)

    In epidemiology, particularly in the discussion of infectious disease dynamics (modeling), the latent period (also known as the latency period or the pre-infectious period) is the time interval between when an individual or host is infected by a pathogen and when that individual becomes infectious, i.e. capable of transmitting pathogens to ...

  6. Modelling biological systems - Wikipedia

    en.wikipedia.org/wiki/Modelling_biological_systems

    Modelling biological systems is a significant task of systems biology and mathematical biology. [a] Computational systems biology [b] [1] aims to develop and use efficient algorithms, data structures, visualization and communication tools with the goal of computer modelling of biological systems. It involves the use of computer simulations of ...

  7. Google DeepMind unveils next generation of drug discovery AI ...

    www.aol.com/news/google-deepmind-unveils-next...

    Google Deepmind has unveiled the third major version of its "AlphaFold" artificial intelligence model, designed to help scientists design drugs and target disease more effectively. In 2020, the ...

  8. Discovery of disease-causing pathogens - Wikipedia

    en.wikipedia.org/wiki/Discovery_of_disease...

    The discovery of disease -causing pathogens is an important activity in the field of medical science. Many viruses, bacteria, protozoa, fungi, helminths ( parasitic worms ), and prions are identified as a confirmed or potential pathogen. In the United States, a Centers for Disease Control and Prevention program, begun in 1995, identified over a ...

  9. Algorithm - Wikipedia

    en.wikipedia.org/wiki/Algorithm

    Flowchart of using successive subtractions to find the greatest common divisor of number r and s. In mathematics and computer science, an algorithm (/ ˈ æ l ɡ ə r ɪ ð əm / ⓘ) is a finite sequence of mathematically rigorous instructions, typically used to solve a class of specific problems or to perform a computation.