Used Python to build a model to predict the number of confirmed COVID-19 cases. Predicted the infection rate, and the number of deaths in the country of Zambia based on collected data from the early stages of the pandemic and created graphs and models to show findings based on calculations.
# COVID-19-Predictive-Model
To create a final model for COVID-19 in the country of Zambia, I started off with data from 4/1/20 to 4/20/20 which indicated the number of people with confirmed
COVID-19 cases as well as those who recovered and those who died from COVID-19. Using this data I was able to build a predictive model which showed the number of people who had confirmed
COVID-19 cases as well as the number of people who recovered from and died from COVID-19 for the next 10 days. I was able to compare my model to actual data from the following 10 days
and analyzed why there were discrepencies between the model and the actual data. All of the analysis and predictions were done using Python and all of the graphs were generated using python
as well. Below are the graphs and models generated from my analysis:
Zambia_COVID_Prediction_Model.pdf