Who covid 19

[shapateriya]

No description provided.

[gemini-code-assist]

Summary of Changes

Hello @shapateriya, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request introduces a robust and automated data ingestion pipeline for a wide array of COVID-19 statistics from the World Health Organization. The integration significantly enhances the existing dataset by incorporating crucial public health indicators such as vaccination rates, daily infection and mortality figures, hospitalization and intensive care unit admissions, and age-stratified death counts. This initiative provides a regularly updated and comprehensive foundation for global health analysis and research.

Highlights

• New WHO COVID-19 Data Import: A comprehensive pipeline has been added to import multiple COVID-19 datasets directly from the World Health Organization (WHO).
• Diverse Data Categories: The imported data covers various critical public health metrics, including vaccination uptake (archived 2021-2023 and current 2024), global daily cases and deaths, hospitalization and ICU admissions, and monthly deaths broken down by age group.
• Automated Data Processing: The import process is fully automated, utilizing a 'download.sh' script to fetch raw data and a 'stat_var_processor.py' script with specific property-value maps and metadata for each dataset to ensure standardized and accurate data processing.
• Geographical Resolution: A 'place_resolver.csv' file is included to accurately map various country names to their standardized Data Commons IDs, facilitating precise geographical data linking.
• Quarterly Data Refresh: The data import is configured to run on a quarterly schedule, ensuring that the COVID-19 statistics remain up-to-date.

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[gemini-code-assist]

Code Review

This pull request adds a new data import for WHO COVID-19 data. While the changes are comprehensive, I've identified several critical and high-severity issues that need to be addressed. There are significant data modeling errors in the pvmap files that will lead to incorrect statistical variables, and a critical bug in the date processing logic. Additionally, there are inconsistencies in the documentation, and some CSV files have formatting issues like UTF-8 BOMs and character encoding problems. Addressing these points will be crucial for ensuring the quality and correctness of the imported data.