Published a book on predictive models of coronavirus(COVOID-19) infection
I am an independent researcher and depressed. Therefore, due to financial reasons, I decided to publish this research on Kindle. This is because I couldn't bear the mental burden of peer review because of depression, and because most of my living expenses are disability pensions, I can't afford to publish a treatise for open access. I hope that the coronavirus (COVOID-19) will end as soon as possible, and I would like to bring this research to the world in this way.
In Japan, COVOID-19 which is a contagious disease that began to spread in 2020. I propose new infectious model which can consider effect of self-restraint. The new model includes three parameters, i.e., two kinds of ease of infection and degree of self-restraint. By adjusting these parameters, this model successfully describes transition of the number of infected people in Japan. This model suggest self-restraint is effective to Prevent infection explosion. It is possible to quantitatively predict the transition of infection. This new model will be useful not only for COVOID-19 but other simulations for generalization of SIR model. I also calculate the vaccination rate required to end the infection.
It can be said that it has been scientifically shown that the actions of each individual become important in order to end the infection of the coronavirus. We hope that setting specific numerical targets for self-restraint and vaccination will change public awareness and bring the coronavirus to an end.