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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.
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.
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 ...
Hypersensitive response ( HR) is a mechanism used by plants to prevent the spread of infection by microbial pathogens. HR is characterized by the rapid death of cells in the local region surrounding an infection and it serves to restrict the growth and spread of pathogens to other parts of the plant. It is analogous to the innate immune system ...
Source attribution. In the field of epidemiology, source attribution refers to a category of methods with the objective of reconstructing the transmission of an infectious disease from a specific source, such as a population, individual, or location. For example, source attribution methods may be used to trace the origin of a new pathogen that ...
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.
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 ...
Autonomous Pathogen Detection System by Lawrence Livermore National Laboratory. Autonomous Detection Systems (ADS), also called biohazard detection systems or autonomous pathogen detection systems, are designed to monitor air or water in an environment and to detect the presence of airborne or waterborne chemicals, toxins, pathogens, or other biological agents capable of causing human illness ...