kanav10 / pandemic-health-analysis

A Comparison Analysis of COVID-19 on Countries with weak and robust health care systems.

When we talk about healthcare, people living in developed countries enjoy more facilities than the rest of the world. We know that death due to infections and poverty related diseases are uncommon in developed countries and common disease noticed is mainly “diseases of affluence”. But recently, COVID-19 which is an infectious disease is experienced everywhere in the world. Countries with the best health care systems also had to deal with it.

This project focuses on understanding, how countries without good health care systems and a history of continuously experiencing infectious diseases (epidemics) are doing compared to the developed countries with the best health care system based on multiple key indicating factors such as, the Human Development Index(HDI), mortality rates , healthcare expenditure etc.

Datasets used in the project:

1.“Health Nutrition Population”: This dataset combines key health statistics from a variety of sources to provide a look at global health and population trends.

2.“Covid19 Open Data”: This dataset contains the largest COVID-19 epidemiological database available in addition to a powerful set of expansive covariates.

Environment Variables

To run this project, you will need to add the following environment variables to your .env file and replace xxxxx with the google big query project id or contact any one of the authors for help regarding project setup.

CUBEJS_DB_BQ_PROJECT_ID=xxxxx

CUBEJS_DB_BQ_KEY_FILE=xxxxx

CUBEJS_DEV_MODE=true

CUBEJS_DB_TYPE=bigquery

CUBEJS_API_SECRET=xxxxx

CUBEJS_EXTERNAL_DEFAULT=true

CUBEJS_SCHEDULED_REFRESH_DEFAULT=true

Run Locally

Clone the project

  git clone https://github.com/kanav10/pandemic-health-analysis 

Go to the project directory

  cd my-project

  cd bigquery-public-datasets

Install dependencies

  npm install

Start the server

  npm run dev

Authors

• @Kanav Malik
• @Ahmed Rashique
• @Rayan Selim

License

MIT