COVID-19 Vaccine Analysis

COVID-19 Vaccine Analysis image 1
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Tech Used:  Scala, Scala Collections

The AEFI Data Analysis project focuses on analyzing Adverse Events Following Immunization (AEFI) data for various vaccination products, sourced from a CSV file (`aefi.csv`) provided by the Ministry of Health Malaysia (MoH-Malaysia). The project, implemented in Scala, performs a series of targeted analyses to extract meaningful insights from the data. It calculates the total doses administered for each vaccine product, identifying the most commonly used vaccine. Additionally, it computes the total and average occurrences of headaches reported for each vaccine, providing insights into common side effects. The analysis also includes calculating the total occurrences of vomiting specifically after the first injection for each vaccine, pinpointing the product with the highest incidence. Structured around a main application file (`MyApp.scala`), this project demonstrates the use of data analysis techniques to evaluate vaccine safety and effectiveness, contributing to informed decision-making in public health.

Project Snippets

Snippet 1

Code snippet to perform data analysis.

Snippet 2

Preview of aefi.csv.

Snippet 3

Sample output of the analysis.