matlab infectious disease model

introduction Mathematical models can project how infectious diseases progress to show the likely outcome of an epidemic and help inform public health interventions. Models use basic assumptions or collected statistics along with mathematics to find parameters for various infectious diseases and use those parameters to calculate the effects of different interventions, like mass vaccination programmes. The modelling can help decide which intervention/s to avoid and which to trial, … Read more Infectious disease model simulation and theoretical trends

SEIR model View all models and descriptions: Infectious disease model simulation and theoretical trends The final screenshot of the simulation is as follows (the dynamic process is not given): Not implementing martial law measures: Starting martial law measures from 20 days:

SEIR model View all models and descriptions: Infectious disease model simulation and theoretical trends The final screenshot of the simulation is as follows (the dynamic process is not given):

SIR model View all models and descriptions: Infectious disease model simulation and theoretical trends The final screenshot of the simulation is as follows (the dynamic process is not given):

SIS model View all models and descriptions: Infectious disease model simulation and theoretical trends

SI model Parsing Divide the population into two types, one is the susceptible, that is, the healthy population, with S for its number.The other is an infected person, denoted by I.That is, the total number of people in the area is N = S + I.I infected people, encounter r individuals every day, probability of … Read more Dynamic simulation and theoretical curve of SI virus model