Use of AI and Mathematical Models in Covid-19 Pandemic
AI and Mathematical Models giving a helping hand.
It was January 30th, 2020 The World Health organization declared coronavirus 2019 disease was an International Public Health Emergency. Since then this virus has completely changed the picture of the whole world’s medical health system, be it developed countries on underdeveloped ones all of them have faced innumerous amount of challenges. Due to this, a lot of research has been done regarding the fluctuations and early tracing of covid-19 cases with the help of Mathematical Modeling and Artificial Intelligence. Still, a lot of work has to be done in regards to Covid-19 and AI modeling but here we shall look at few basic concepts related to it.
While doing research work for creating a mathematical model specifically for Covid-19 early models that were used for study different epidemics were also taken into account.
- Susceptible-exposed-infected- removed (SEIR)
This model was combined with different data to create a new model for the study fluctuations of Covid-19. Data like the migration of people from different cities. It was also combined with a regression model to study the continuous change in the behavior of the virus.
- Susceptible -Infected- Recovered (SIR)
The name itself suggests this model is used to track and detect time from the infection to recovery. This model was also later modified by combing with few more models according to the situation.
There are a few more mathematical models used in the analysis of data to deliver better results. But we shall see those in my next blog. Here I have covered just two important ones.
Use of Artificial Intelligence.
The use of artificial intelligence when comes to the medical field cannot be ignored. Its implementation in various branches of the medical sector is showing amazing results. One of such is the detection of covid-19 based on a CT scan.
In this blog, we have tried to understand how mathematics and AI can be helpful. But in my later blogs, we shall target each concept individually and try to understand its importance. Hence it becomes extremely important for AI startups to understand it and implement it.