COVID Tracking

During November, 2019 - a severe viral infection was noticed in Wuhan, a city in Hubei provinces of China. On November 17th 2019, the first case of this infection was reported. Doctor’s initially took it lightly as if it was a normal fever/cold. But, when a wide range of patients reported similar kind of symptoms, a doctor - Dr. Li Wenliang of Chinese Academy of Sciences (CAS) Lab, claimed that it was a type of severe acute respiratory syndrome, spreading through a new coronavirus transmission in the whole Hubei province, very rapidly. Reportedly, many attempts were made not to leak this, anywhere. But anyhow, this news got exposed during the late December, 2019. In January, Dr. Li himself died suffering with the same deadly viral infection.

This project is basically focused on developing a (ML) regression model that can predict the rate of growth of COVID-19 cases during for next 1-week for any country. I have tried to validate the performance for cases in China. I also took it further to publish a research paper for the same.

Key Features of Research:

➔ Indexed by Scopus and recognized by World Health Organization
➔ Validated the model with COVID-19 in China & also used for India
➔ Tools/Skills: Data Science & Time Series Data Analytics, Machine Learning, Medical Data Interpretation, Web Scraping, R studio, Bash Scripting