Data analytics tools are crucial in epidemiology for the processing and interpretation of complex datasets. Software like R, Python, and specialized epidemiological tools like Epi Info allow researchers to perform statistical analyses, model disease spread, and identify risk factors. These tools can handle large datasets and provide insights that would be difficult to achieve through manual analysis.
