bharathrajm/aihackcovid

aiHackCovid

This is team 2 submission for the aiHackCovid hackathon by Bharath Raj, Rossella and Thanasis.

Our Goals:

• Explore the policies adopted by the different European countries, trying to highlight similarities and patterns among them
• Find trends and projections of new_deaths_per_million population in the Global scenario, EU continent and the Netherlands.

Our datasets:

1. Oxford Covid-19 Government Response Tracker (OxCGRT) :
2. COVID-19 Dataset by Our World in Data (OWID):

To get started:

• install the packages from the requirements.txt

Goal 1: Explore the policies adopted by the different European countries, trying to highlight similarities and patterns among them

We use the OxCGRT dataset for this.

• Visualize the data
• Compute Correlation Matrices
• Observe and Interpret the results

More detailed here

Goal 2: Find trends and projections of new_deaths_per_million population in the Global scenario, EU continent and the Netherlands

We use the OurWorldinData(OWID) dataset We gather the dataset over the entire world, create a dataset of our own by selecting feature vectors :

• Vaccination_ratio : It is given as a the ratio between the number of people who have been vaccinated(atleast 1 dose) and the total population (in 2020) before the pandemic
• Stringency_score : This is a score given by OWID based on the stringency measures taken in the location by closing of schools, public transport etc. This score is a measure between 0 to 100.
• positive rate : The share of COVID-19 tests that are positive given by OWID.
• current reproduction rate : This is the R_0 value, given by OWID.

Based on the above features we predict the new_deaths_per_million in our prediction models.

• We do the prediction models for Global scenario Global_Projection Model.ipynb
• We do the prediction models for Europe scenario EU_Projection Model.ipynb
• We do the prediction models for NL scenario NL_Projection Model.ipynb

We create a synthetic dataset for forecasting the new_deaths_per_million using the above models on all the three regions Creating_synthetic_dataForProjection.ipnyb

• We visualize the projections until March 1st 2022 on all the three models and observe their behaviour [Visualisation_and_inference.ipnyb]