Automating report generation for disease surveillance data using R Markdown: a case study on mosquito surveillance data

This study proposes a method for automated report generation in disease control agencies using R Markdown and demonstrates the entire workflow from data collection, analysis, and visualization to report generation through a case study on mosquito surveillance data. By integrating text, code, and output results, R Markdown significantly reduces manual operations and improves report accuracy and reproducibility. This study represents the first application of R Markdown in the automated report generation of mosquito surveillance, offering an efficient and reusable solution for public health. The findings highlight the method ability to enhance data processing efficiency, report flexibility, and real-time decision-making support.