Multiple Correspondence and Proportional Analysis of Vaccination Rate Among Healthcare Personnel of MINSA

TL;DR

This paper presents DataProAnalytica, a tool utilizing multiple correspondence analysis and visualizations to explore vaccination rates among healthcare personnel, aiming to enhance vaccination strategies and decision-making.

Contribution

Introduction of DataProAnalytica, a novel application that applies multiple correspondence analysis to healthcare vaccination data for improved insights.

Findings

Revealed relationships between variables affecting vaccination rates

Enhanced understanding of factors influencing healthcare personnel vaccination

Demonstrated potential for DataProAnalytica to improve vaccination strategies

Abstract

DataProAnalytica is a powerful application for analyzing vaccination data in health care professionals. Through visualizations and multiple correspondence analysis, it uncovers meaningful relationships between variables and categories. The results provide valuable information for improving vaccination strategies. While there are limitations, the potential of DataProAnalytica to improve accuracy and functionality makes it a promising tool for future research and decision making in any other research topic.