Timing data analysis involves various techniques, including time-series analysis, which examines data points collected at regular intervals. This method helps identify trends, cycles, and irregular patterns in disease occurrences. By analyzing historical data, epidemiologists can forecast future disease trends and implement preventive measures.
Seasonal decomposition of time-series data further aids in understanding the periodic nature of diseases. Additionally, real-time surveillance systems enable prompt detection of outbreaks, allowing for immediate intervention to contain the spread.
